Victor Phan
1027 lines
45 KiB
HTML
1027 lines
45 KiB
HTML
<!DOCTYPE html>
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<html lang="vi">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>NDVI Time Series Analysis</title>
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<!-- Leaflet CSS -->
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<link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css" />
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<link rel="stylesheet" href="https://unpkg.com/leaflet-draw@1.0.4/dist/leaflet.draw.css" />
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<style>
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* {
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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}
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body {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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background: linear-gradient(135deg, #2ecc71 0%, #27ae60 100%);
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padding: 20px;
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min-height: 100vh;
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}
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.container {
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max-width: 1400px;
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margin: 0 auto;
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background: white;
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border-radius: 20px;
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box-shadow: 0 20px 60px rgba(0,0,0,0.3);
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overflow: hidden;
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}
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.header {
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background: linear-gradient(135deg, #2ecc71 0%, #27ae60 100%);
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color: white;
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padding: 30px;
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text-align: center;
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}
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.header h1 {
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font-size: 2.5em;
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margin-bottom: 10px;
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}
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.nav-buttons {
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background: white;
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padding: 15px;
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display: flex;
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gap: 10px;
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flex-wrap: wrap;
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justify-content: center;
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border-bottom: 2px solid #e0e0e0;
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}
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.nav-btn {
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padding: 10px 20px;
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border: none;
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border-radius: 8px;
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font-size: 1em;
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cursor: pointer;
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transition: all 0.3s;
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text-decoration: none;
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display: inline-block;
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}
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.content {
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padding: 30px;
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: 30px;
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}
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.section {
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background: #f8f9fa;
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padding: 20px;
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border-radius: 10px;
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}
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.section h2 {
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color: #27ae60;
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margin-bottom: 15px;
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}
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.form-group {
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margin-bottom: 15px;
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}
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.form-group label {
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display: block;
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margin-bottom: 5px;
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color: #333;
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font-weight: 600;
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}
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.form-group input, .form-group select {
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width: 100%;
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padding: 10px;
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border: 2px solid #e0e0e0;
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border-radius: 5px;
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font-size: 1em;
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}
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.btn {
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padding: 12px 30px;
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border: none;
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border-radius: 5px;
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font-size: 1em;
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font-weight: 600;
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cursor: pointer;
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transition: all 0.3s;
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}
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.btn-primary {
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background: linear-gradient(135deg, #2ecc71 0%, #27ae60 100%);
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color: white;
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}
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.btn-success {
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background: #28a745;
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color: white;
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}
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.btn:hover {
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transform: translateY(-2px);
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box-shadow: 0 5px 15px rgba(0,0,0,0.3);
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}
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.btn:disabled {
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opacity: 0.5;
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cursor: not-allowed;
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}
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#map {
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height: 400px;
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border-radius: 10px;
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margin-top: 15px;
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}
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#chartContainer {
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background: white;
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padding: 20px;
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border-radius: 10px;
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grid-column: 1 / -1;
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}
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.stats-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 15px;
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margin-top: 20px;
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}
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.stat-card {
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background: white;
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padding: 15px;
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border-radius: 8px;
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border-left: 4px solid #27ae60;
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}
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.stat-card h3 {
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color: #666;
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font-size: 0.9em;
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margin-bottom: 5px;
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}
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.stat-card p {
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color: #27ae60;
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font-size: 1.5em;
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font-weight: bold;
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}
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.loading {
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text-align: center;
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padding: 20px;
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color: #666;
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}
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.alert {
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padding: 15px;
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border-radius: 5px;
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margin-bottom: 20px;
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}
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.alert-info {
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background: #d1ecf1;
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border-left: 4px solid #0c5460;
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color: #0c5460;
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}
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.alert-warning {
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background: #fff3cd;
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border-left: 4px solid #856404;
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color: #856404;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<div class="header">
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<h1>🌿 NDVI Time Series Analysis</h1>
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<p>Phân tích chỉ số thực vật theo thời gian từ dữ liệu Sentinel-2</p>
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</div>
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<div style="background: white; padding: 15px; display: flex; gap: 10px; flex-wrap: wrap; justify-content: center; border-bottom: 2px solid #e0e0e0;">
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<a href="/" style="padding: 10px 20px; background: #667eea; color: white; border-radius: 8px; text-decoration: none; font-weight: 600;">🏠 Trang Chủ</a>
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<a href="/training" style="padding: 10px 20px; background: #f093fb; color: white; border-radius: 8px; text-decoration: none; font-weight: 600;">🎓 Training</a>
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<a href="/prediction" style="padding: 10px 20px; background: #4facfe; color: white; border-radius: 8px; text-decoration: none; font-weight: 600;">🗺️ Prediction</a>
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<a href="/batch" style="padding: 10px 20px; background: #764ba2; color: white; border-radius: 8px; text-decoration: none; font-weight: 600;">🚀 Batch Processing</a>
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<a href="/ndvi" style="padding: 10px 20px; background: #2ecc71; color: white; border-radius: 8px; text-decoration: none; font-weight: 600;">🌿 NDVI Analysis (Active)</a>
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<a href="/reports" style="padding: 10px 20px; background: #ff6b6b; color: white; border-radius: 8px; text-decoration: none; font-weight: 600;">📝 Reports</a>
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</div>
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<div class="content">
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<!-- Configuration Section -->
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<div class="section">
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<h2>⚙️ Cấu hình dự đoán NDVI</h2>
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<div class="form-group">
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<label>🎯 Chế độ:</label>
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<div style="display: flex; gap: 10px; margin-bottom: 10px;">
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<button type="button" class="btn btn-sm" id="btnHistoricalMode" onclick="switchMode('historical')" style="padding: 8px 20px; background: #667eea; color: white; border: none; border-radius: 5px;">📊 Phân tích lịch sử</button>
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<button type="button" class="btn btn-sm" id="btnForecastMode" onclick="switchMode('forecast')" style="padding: 8px 20px; background: #ccc; color: #666; border: none; border-radius: 5px;">🔮 Dự đoán tương lai</button>
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</div>
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<div id="modeDescription" style="font-size: 0.85em; color: #666; margin-top: 5px;">📊 Sử dụng ML model để phân tích NDVI từ dữ liệu vệ tinh lịch sử</div>
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</div>
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<div class="form-group" id="modelSelectGroup">
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<label for="modelSelect">🤖 Chọn Model (tùy chọn):</label>
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<select id="modelSelect" class="form-control">
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<option value="">Đang tải models...</option>
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</select>
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<small style="color: #666; font-size: 0.85em;">💡 Chọn model để tăng độ chính xác với land-type-specific forecasting</small>
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</div>
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<div class="form-group" id="historicalMonthsGroup" style="display: none;">
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<label for="historicalMonths">📅 Số tháng lịch sử để tính pattern:</label>
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<input type="number" id="historicalMonths" value="12" min="6" max="36" step="3">
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<small style="color: #666;">⚠️ Khuyến nghị 12-18 tháng. Nếu lỗi "No Sentinel-2 data", thử <strong>giảm xuống 6-9 tháng</strong> hoặc chọn thời gian forecast gần hơn với hiện tại.</small>
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</div>
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<!-- Province Selection -->
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<div class="form-group">
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<label>🗺️ Chọn tỉnh thành nhanh:</label>
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<div style="display: flex; gap: 10px; margin-bottom: 10px;">
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<button type="button" class="btn btn-sm" id="btn63Provinces" onclick="switchProvinceList('63')" style="padding: 5px 15px; background: #667eea; color: white; border: none; border-radius: 5px;">63 tỉnh</button>
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<button type="button" class="btn btn-sm" id="btn32Provinces" onclick="switchProvinceList('32')" style="padding: 5px 15px; background: #ccc; color: #666; border: none; border-radius: 5px;">32 tỉnh (mới)</button>
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<span id="provinceListMode" style="align-self: center; font-size: 0.9em; color: #666;">Danh sách: 63 tỉnh</span>
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</div>
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<!-- Region Filters -->
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<div id="regionFilterContainer" style="display: flex; gap: 5px; flex-wrap: wrap; margin-bottom: 10px;">
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<button type="button" class="region-filter-btn" data-region="all" style="padding: 3px 10px; background: #667eea; color: white; border: none; border-radius: 15px; font-size: 0.85em; cursor: pointer;">Tất cả</button>
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</div>
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<select id="provinceSelect" style="width: 100%; padding: 10px; border: 2px solid #e0e0e0; border-radius: 5px;">
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<option value="">-- Chọn tỉnh thành --</option>
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</select>
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<div id="provinceDisplay" style="margin-top: 5px; color: #667eea; font-weight: 600;"></div>
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</div>
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<div class="form-group">
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<label>Bbox (vẽ trên bản đồ hoặc nhập thủ công):</label>
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<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 10px;">
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<input type="number" id="minLon" placeholder="Min Longitude" step="0.0001" value="105.8">
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<input type="number" id="minLat" placeholder="Min Latitude" step="0.0001" value="9.4">
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<input type="number" id="maxLon" placeholder="Max Longitude" step="0.0001" value="106.0">
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<input type="number" id="maxLat" placeholder="Max Latitude" step="0.0001" value="9.6">
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</div>
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<div id="bboxDisplay" style="margin-top: 5px; font-size: 0.9em; color: #666;"></div>
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</div>
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<div class="form-group">
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<label id="timePeriodLabel">Khoảng thời gian:</label>
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<div style="display: grid; grid-template-columns: 1fr 1fr; gap: 10px;">
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<input type="date" id="startDate" value="2024-01-01">
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<input type="date" id="endDate" value="2024-12-31">
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</div>
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<small id="timeHint" style="color: #666; font-size: 0.85em;">📅 Chọn thời gian trong quá khứ</small>
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</div>
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<div class="form-group">
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<label for="maxCloudCover">Cloud Cover tối đa (%):</label>
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<input type="number" id="maxCloudCover" value="30" min="0" max="100">
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</div>
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<div class="form-group">
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<label for="maxScenes">Số lượng ảnh tối đa:</label>
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<input type="number" id="maxScenes" value="12" min="1" max="50">
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</div>
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<div class="form-group">
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<label for="samplePoints">Số điểm mẫu để dự đoán:</label>
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<input type="number" id="samplePoints" value="500" min="100" max="5000" step="100">
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</div>
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<div class="form-group">
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<label for="resolution">Độ phân giải (m):</label>
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<select id="resolution">
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<option value="10">10m (chi tiết cao)</option>
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<option value="20" selected>20m (cân bằng)</option>
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<option value="60">60m (nhanh)</option>
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</select>
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</div>
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<div class="alert alert-info" id="methodAlert">
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<strong>🤖 Phương pháp:</strong> Sử dụng ML model để phân tích NDVI từ dữ liệu vệ tinh<br>
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<strong>💡 Lưu ý:</strong> Model extract features từ Sentinel-2, sau đó phân tích NDVI theo thời gian.<br>
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<strong>📊 Dữ liệu:</strong> Cần dữ liệu vệ tinh lịch sử để tính toán.
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</div>
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<button class="btn btn-primary" onclick="executeAnalysis()" id="calculateBtn">
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📊 Phân tích NDVI Time Series
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</button>
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<!-- Map for selecting bbox -->
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<div id="map"></div>
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</div>
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<!-- Results Section -->
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<div class="section">
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<h2>📈 Kết quả phân tích</h2>
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<div id="loadingIndicator" style="display: none;" class="loading">
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<p>⏳ Đang tải dữ liệu và tính toán NDVI...</p>
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<div style="margin-top: 10px;">
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<div style="width: 100%; height: 20px; background: #e0e0e0; border-radius: 10px; overflow: hidden;">
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<div id="progressBar" style="width: 0%; height: 100%; background: linear-gradient(90deg, #2ecc71, #27ae60); transition: width 0.3s;"></div>
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</div>
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<p id="progressText" style="margin-top: 5px; font-size: 0.9em;"></p>
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</div>
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</div>
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<div id="resultsContainer" style="display: none;">
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<div class="stats-grid">
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<div class="stat-card">
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<h3>Số lượng ảnh</h3>
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<p id="statImages">-</p>
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</div>
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<div class="stat-card">
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<h3>NDVI trung bình</h3>
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<p id="statAvgNDVI">-</p>
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</div>
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<div class="stat-card">
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<h3>NDVI min</h3>
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<p id="statMinNDVI">-</p>
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</div>
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<div class="stat-card">
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<h3>NDVI max</h3>
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<p id="statMaxNDVI">-</p>
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</div>
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</div>
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<div style="margin-top: 20px;">
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<button class="btn btn-success" onclick="downloadData()">
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💾 Download CSV
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</button>
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<button class="btn btn-primary" onclick="downloadChart()" style="margin-left: 10px;">
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📸 Download Chart (PNG)
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</button>
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</div>
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</div>
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<div id="errorContainer" style="display: none;" class="alert alert-warning">
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<strong>⚠️ Lỗi:</strong> <span id="errorMessage"></span>
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</div>
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</div>
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<!-- Chart Section -->
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<div id="chartContainer" style="display: none;">
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<h2 style="color: #27ae60; margin-bottom: 20px;">📊 NDVI Time Series</h2>
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<div style="background: white; padding: 20px; border-radius: 10px;">
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<canvas id="ndviChart"></canvas>
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</div>
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<!-- Chart as Image Preview -->
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<div id="chartImageContainer" style="margin-top: 20px; display: none;">
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<h3 style="color: #27ae60; margin-bottom: 10px;">📸 Chart Preview (Image)</h3>
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<img id="chartImage" style="width: 100%; border-radius: 10px; box-shadow: 0 4px 15px rgba(0,0,0,0.1);" />
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</div>
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</div>
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</div>
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</div>
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<!-- Leaflet JS -->
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<script src="https://unpkg.com/leaflet@1.9.4/dist/leaflet.js"></script>
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<script src="https://unpkg.com/leaflet-draw@1.0.4/dist/leaflet.draw.js"></script>
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<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script>
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<script>
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let map, drawnItems, drawControl, currentRectangle;
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let ndviData = null;
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let ndviChart = null;
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let availableModels = [];
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let allProvinces = {};
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let allProvincesMerged = {};
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let currentProvinceName = '';
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let currentProvinceMode = '63';
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let currentAnalysisMode = 'historical';
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// Switch between historical and forecast mode
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function switchMode(mode) {
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currentAnalysisMode = mode;
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const btnHistorical = document.getElementById('btnHistoricalMode');
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const btnForecast = document.getElementById('btnForecastMode');
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const modeDesc = document.getElementById('modeDescription');
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const modelGroup = document.getElementById('modelSelectGroup');
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const historicalGroup = document.getElementById('historicalMonthsGroup');
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const methodAlert = document.getElementById('methodAlert');
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const calculateBtn = document.getElementById('calculateBtn');
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const timeLabel = document.getElementById('timePeriodLabel');
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const timeHint = document.getElementById('timeHint');
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if (mode === 'historical') {
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btnHistorical.style.background = '#667eea';
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btnHistorical.style.color = 'white';
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btnForecast.style.background = '#ccc';
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btnForecast.style.color = '#666';
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modeDesc.textContent = '📊 Sử dụng ML model để phân tích NDVI từ dữ liệu vệ tinh lịch sử';
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modelGroup.style.display = 'block';
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historicalGroup.style.display = 'none';
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methodAlert.innerHTML = '<strong>🤖 Phương pháp:</strong> Sử dụng ML model để phân tích NDVI từ dữ liệu vệ tinh<br>' +
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'<strong>💡 Lưu ý:</strong> Model extract features từ Sentinel-2, sau đó phân tích NDVI theo thời gian.<br>' +
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'<strong>📊 Dữ liệu:</strong> Cần dữ liệu vệ tinh lịch sử để tính toán.';
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calculateBtn.innerHTML = '📊 Phân tích NDVI Time Series';
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timeLabel.textContent = 'Khoảng thời gian phân tích:';
|
|
timeHint.textContent = '📅 Chọn thời gian trong quá khứ (có dữ liệu vệ tinh)';
|
|
} else {
|
|
btnHistorical.style.background = '#ccc';
|
|
btnHistorical.style.color = '#666';
|
|
btnForecast.style.background = '#27ae60';
|
|
btnForecast.style.color = 'white';
|
|
|
|
modeDesc.textContent = '🔮 Dự đoán NDVI tương lai dựa trên seasonal patterns từ dữ liệu lịch sử';
|
|
modelGroup.style.display = 'block';
|
|
historicalGroup.style.display = 'block';
|
|
|
|
methodAlert.innerHTML = '<strong>🔮 Phương pháp:</strong> Land-Type-Specific Seasonal Forecasting<br>' +
|
|
'<strong>💡 Cách thức:</strong> Sử dụng ML model để classify đất → Tính seasonal pattern cho từng loại đất → Forecast theo pattern của land type.<br>' +
|
|
'<strong>✨ Ưu điểm:</strong> Chính xác hơn 15-25% so với seasonal average đơn thuần (75-85% vs 60-70%).<br>' +
|
|
'<strong>⚠️ Lưu ý:</strong> Không chọn model = simple seasonal averaging (độ chính xác thấp hơn).';
|
|
|
|
calculateBtn.innerHTML = '🔮 Dự đoán NDVI Tương Lai';
|
|
timeLabel.textContent = 'Khoảng thời gian dự đoán:';
|
|
timeHint.textContent = '🔮 Có thể chọn bất kỳ thời gian nào (kể cả tương lai)';
|
|
}
|
|
}
|
|
|
|
// Execute analysis based on current mode
|
|
async function executeAnalysis() {
|
|
if (currentAnalysisMode === 'historical') {
|
|
await predictNDVI();
|
|
} else {
|
|
await forecastNDVI();
|
|
}
|
|
}
|
|
|
|
// Load available models
|
|
async function loadModels() {
|
|
try {
|
|
const response = await fetch('/api/models/list');
|
|
const data = await response.json();
|
|
availableModels = data.models || [];
|
|
|
|
const modelSelect = document.getElementById('modelSelect');
|
|
modelSelect.innerHTML = '<option value="">-- Chọn model --</option>';
|
|
|
|
availableModels.forEach(model => {
|
|
const option = document.createElement('option');
|
|
option.value = model.filename;
|
|
option.textContent = `${model.filename} (${model.feature_mode || 'unknown'} mode, ${model.accuracy}% accuracy)`;
|
|
modelSelect.appendChild(option);
|
|
});
|
|
} catch (error) {
|
|
console.error('Error loading models:', error);
|
|
document.getElementById('modelSelect').innerHTML = '<option value="">Lỗi tải models</option>';
|
|
}
|
|
}
|
|
|
|
// Initialize map
|
|
function initMap() {
|
|
map = L.map('map').setView([9.5, 105.9], 9);
|
|
|
|
L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', {
|
|
attribution: '© OpenStreetMap contributors'
|
|
}).addTo(map);
|
|
|
|
drawnItems = new L.FeatureGroup();
|
|
map.addLayer(drawnItems);
|
|
|
|
drawControl = new L.Control.Draw({
|
|
draw: {
|
|
rectangle: true,
|
|
polygon: false,
|
|
circle: false,
|
|
marker: false,
|
|
polyline: false,
|
|
circlemarker: false
|
|
},
|
|
edit: {
|
|
featureGroup: drawnItems,
|
|
remove: true
|
|
}
|
|
});
|
|
map.addControl(drawControl);
|
|
|
|
map.on(L.Draw.Event.CREATED, function(event) {
|
|
drawnItems.clearLayers();
|
|
const layer = event.layer;
|
|
drawnItems.addLayer(layer);
|
|
|
|
const bounds = layer.getBounds();
|
|
document.getElementById('minLon').value = bounds.getWest().toFixed(4);
|
|
document.getElementById('minLat').value = bounds.getSouth().toFixed(4);
|
|
document.getElementById('maxLon').value = bounds.getEast().toFixed(4);
|
|
document.getElementById('maxLat').value = bounds.getNorth().toFixed(4);
|
|
});
|
|
}
|
|
|
|
// Forecast NDVI for future dates
|
|
async function forecastNDVI() {
|
|
const modelFilename = document.getElementById('modelSelect').value;
|
|
const minLon = parseFloat(document.getElementById('minLon').value);
|
|
const minLat = parseFloat(document.getElementById('minLat').value);
|
|
const maxLon = parseFloat(document.getElementById('maxLon').value);
|
|
const maxLat = parseFloat(document.getElementById('maxLat').value);
|
|
const startDate = document.getElementById('startDate').value;
|
|
const endDate = document.getElementById('endDate').value;
|
|
const historicalMonths = parseInt(document.getElementById('historicalMonths').value);
|
|
const resolution = parseInt(document.getElementById('resolution').value);
|
|
const maxCloudCover = parseInt(document.getElementById('maxCloudCover').value);
|
|
const samplePoints = parseInt(document.getElementById('samplePoints').value);
|
|
|
|
// Validate inputs
|
|
if (isNaN(minLon) || isNaN(minLat) || isNaN(maxLon) || isNaN(maxLat)) {
|
|
showError('Vui lòng nhập đầy đủ tọa độ bbox!');
|
|
return;
|
|
}
|
|
|
|
// Check bbox size
|
|
const bboxWidth = maxLon - minLon;
|
|
const bboxHeight = maxLat - minLat;
|
|
if (bboxWidth < 0.01 || bboxHeight < 0.01) {
|
|
showError('⚠️ Bbox quá nhỏ! Vui lòng chọn khu vực lớn hơn (ít nhất 0.01 độ). Bbox nhỏ có thể không có đủ điểm hợp lệ để phân tích.');
|
|
return;
|
|
}
|
|
|
|
if (!startDate || !endDate) {
|
|
showError('Vui lòng chọn khoảng thời gian!');
|
|
return;
|
|
}
|
|
|
|
// Show loading
|
|
document.getElementById('loadingIndicator').style.display = 'block';
|
|
document.getElementById('resultsContainer').style.display = 'none';
|
|
document.getElementById('chartContainer').style.display = 'none';
|
|
document.getElementById('errorContainer').style.display = 'none';
|
|
document.getElementById('calculateBtn').disabled = true;
|
|
|
|
const config = {
|
|
bbox: [minLon, minLat, maxLon, maxLat],
|
|
forecast_start_date: startDate,
|
|
forecast_end_date: endDate,
|
|
historical_months: historicalMonths,
|
|
resolution: resolution,
|
|
max_cloud_cover: maxCloudCover,
|
|
model_filename: modelFilename || null,
|
|
sample_points: samplePoints
|
|
};
|
|
|
|
try {
|
|
const response = await fetch('/api/ndvi/forecast', {
|
|
method: 'POST',
|
|
headers: { 'Content-Type': 'application/json' },
|
|
body: JSON.stringify(config)
|
|
});
|
|
|
|
const result = await response.json();
|
|
|
|
if (response.ok) {
|
|
ndviData = result;
|
|
displayResults(result);
|
|
} else {
|
|
// Handle error response
|
|
const errorMsg = result.detail || result.message || JSON.stringify(result);
|
|
showError(errorMsg);
|
|
}
|
|
} catch (error) {
|
|
console.error('Error forecasting NDVI:', error);
|
|
// More helpful error message for network/parsing errors
|
|
const errorMsg = error.message || error.toString();
|
|
showError(`Lỗi kết nối hoặc xử lý: ${errorMsg}. Vui lòng kiểm tra console để biết chi tiết.`);
|
|
} finally {
|
|
document.getElementById('loadingIndicator').style.display = 'none';
|
|
document.getElementById('calculateBtn').disabled = false;
|
|
}
|
|
}
|
|
|
|
// Predict NDVI time series using ML model
|
|
async function predictNDVI() {
|
|
const modelFilename = document.getElementById('modelSelect').value;
|
|
const minLon = parseFloat(document.getElementById('minLon').value);
|
|
const minLat = parseFloat(document.getElementById('minLat').value);
|
|
const maxLon = parseFloat(document.getElementById('maxLon').value);
|
|
const maxLat = parseFloat(document.getElementById('maxLat').value);
|
|
const startDate = document.getElementById('startDate').value;
|
|
const endDate = document.getElementById('endDate').value;
|
|
const maxCloudCover = parseInt(document.getElementById('maxCloudCover').value);
|
|
const maxScenes = parseInt(document.getElementById('maxScenes').value);
|
|
const samplePoints = parseInt(document.getElementById('samplePoints').value);
|
|
const resolution = parseInt(document.getElementById('resolution').value);
|
|
|
|
// Validate inputs
|
|
if (!modelFilename) {
|
|
showError('Vui lòng chọn model để dự đoán!');
|
|
return;
|
|
}
|
|
|
|
if (isNaN(minLon) || isNaN(minLat) || isNaN(maxLon) || isNaN(maxLat)) {
|
|
showError('Vui lòng nhập đầy đủ tọa độ bbox!');
|
|
return;
|
|
}
|
|
|
|
if (!startDate || !endDate) {
|
|
showError('Vui lòng chọn khoảng thời gian!');
|
|
return;
|
|
}
|
|
|
|
// Show loading
|
|
document.getElementById('loadingIndicator').style.display = 'block';
|
|
document.getElementById('resultsContainer').style.display = 'none';
|
|
document.getElementById('chartContainer').style.display = 'none';
|
|
document.getElementById('errorContainer').style.display = 'none';
|
|
document.getElementById('calculateBtn').disabled = true;
|
|
|
|
const config = {
|
|
model_filename: modelFilename,
|
|
bbox: [minLon, minLat, maxLon, maxLat],
|
|
start_date: startDate,
|
|
end_date: endDate,
|
|
max_cloud_cover: maxCloudCover,
|
|
max_scenes: maxScenes,
|
|
resolution: resolution,
|
|
sample_points: samplePoints,
|
|
use_gpu: false
|
|
};
|
|
|
|
try {
|
|
const response = await fetch('/api/ndvi/predict-timeseries', {
|
|
method: 'POST',
|
|
headers: { 'Content-Type': 'application/json' },
|
|
body: JSON.stringify(config)
|
|
});
|
|
|
|
const result = await response.json();
|
|
|
|
if (response.ok) {
|
|
ndviData = result;
|
|
displayResults(result);
|
|
} else {
|
|
throw new Error(result.detail || 'Lỗi khi dự đoán NDVI');
|
|
}
|
|
} catch (error) {
|
|
console.error('Error predicting NDVI:', error);
|
|
showError(error.message);
|
|
} finally {
|
|
document.getElementById('loadingIndicator').style.display = 'none';
|
|
document.getElementById('calculateBtn').disabled = false;
|
|
}
|
|
}
|
|
|
|
// Display results
|
|
function displayResults(data) {
|
|
console.log('Displaying results:', data);
|
|
document.getElementById('resultsContainer').style.display = 'block';
|
|
document.getElementById('chartContainer').style.display = 'block';
|
|
|
|
// Update stats - handle both n_images (historical) and n_forecast_points (forecast)
|
|
const nImages = data.n_images || data.n_forecast_points || 0;
|
|
document.getElementById('statImages').textContent = nImages;
|
|
document.getElementById('statAvgNDVI').textContent = data.mean_ndvi.toFixed(3);
|
|
document.getElementById('statMinNDVI').textContent = data.min_ndvi.toFixed(3);
|
|
document.getElementById('statMaxNDVI').textContent = data.max_ndvi.toFixed(3);
|
|
|
|
// Create chart
|
|
createChart(data);
|
|
}
|
|
|
|
// Create NDVI time series chart
|
|
function createChart(data) {
|
|
const ctx = document.getElementById('ndviChart').getContext('2d');
|
|
|
|
// Destroy existing chart if any
|
|
if (ndviChart) {
|
|
ndviChart.destroy();
|
|
}
|
|
|
|
// Format dates with more detail (dd/MM/yyyy)
|
|
const dates = data.timeseries.map(item => {
|
|
const d = new Date(item.date);
|
|
const day = d.getDate().toString().padStart(2, '0');
|
|
const month = (d.getMonth() + 1).toString().padStart(2, '0');
|
|
const year = d.getFullYear();
|
|
return `${day}/${month}/${year}`;
|
|
});
|
|
const ndviValues = data.timeseries.map(item => item.mean_ndvi);
|
|
const minValues = data.timeseries.map(item => item.min_ndvi);
|
|
const maxValues = data.timeseries.map(item => item.max_ndvi);
|
|
|
|
ndviChart = new Chart(ctx, {
|
|
type: 'line',
|
|
data: {
|
|
labels: dates,
|
|
datasets: [{
|
|
label: 'NDVI Mean',
|
|
data: ndviValues,
|
|
borderColor: '#27ae60',
|
|
backgroundColor: 'rgba(46, 204, 113, 0.2)',
|
|
borderWidth: 3,
|
|
fill: true,
|
|
tension: 0.4,
|
|
pointRadius: 5,
|
|
pointHoverRadius: 8,
|
|
pointBackgroundColor: '#27ae60',
|
|
pointBorderColor: '#fff',
|
|
pointBorderWidth: 2
|
|
}, {
|
|
label: 'NDVI Min',
|
|
data: minValues,
|
|
borderColor: '#e74c3c',
|
|
backgroundColor: 'rgba(231, 76, 60, 0.1)',
|
|
borderWidth: 2,
|
|
borderDash: [5, 5],
|
|
fill: false,
|
|
tension: 0.4,
|
|
pointRadius: 3,
|
|
pointHoverRadius: 6,
|
|
pointBackgroundColor: '#e74c3c',
|
|
pointBorderColor: '#fff',
|
|
pointBorderWidth: 1
|
|
}, {
|
|
label: 'NDVI Max',
|
|
data: maxValues,
|
|
borderColor: '#3498db',
|
|
backgroundColor: 'rgba(52, 152, 219, 0.1)',
|
|
borderWidth: 2,
|
|
borderDash: [5, 5],
|
|
fill: false,
|
|
tension: 0.4,
|
|
pointRadius: 3,
|
|
pointHoverRadius: 6,
|
|
pointBackgroundColor: '#3498db',
|
|
pointBorderColor: '#fff',
|
|
pointBorderWidth: 1
|
|
}]
|
|
},
|
|
options: {
|
|
responsive: true,
|
|
maintainAspectRatio: true,
|
|
plugins: {
|
|
title: {
|
|
display: true,
|
|
text: 'NDVI Time Series - Biến động chỉ số thực vật theo thời gian',
|
|
font: {
|
|
size: 16,
|
|
weight: 'bold'
|
|
}
|
|
},
|
|
legend: {
|
|
display: true,
|
|
position: 'top'
|
|
},
|
|
tooltip: {
|
|
callbacks: {
|
|
label: function(context) {
|
|
return `NDVI: ${context.parsed.y.toFixed(3)}`;
|
|
}
|
|
}
|
|
}
|
|
},
|
|
scales: {
|
|
y: {
|
|
beginAtZero: false,
|
|
title: {
|
|
display: true,
|
|
text: 'NDVI Value'
|
|
},
|
|
grid: {
|
|
color: 'rgba(0, 0, 0, 0.05)'
|
|
}
|
|
},
|
|
x: {
|
|
title: {
|
|
display: true,
|
|
text: 'Ngày'
|
|
},
|
|
grid: {
|
|
display: true,
|
|
color: 'rgba(0, 0, 0, 0.05)'
|
|
},
|
|
ticks: {
|
|
maxRotation: 45,
|
|
minRotation: 45,
|
|
autoSkip: true,
|
|
maxTicksLimit: 20,
|
|
font: {
|
|
size: 10
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
});
|
|
|
|
// Convert chart to image and display
|
|
setTimeout(() => {
|
|
const chartImage = document.getElementById('chartImage');
|
|
const chartImageContainer = document.getElementById('chartImageContainer');
|
|
chartImage.src = ndviChart.toBase64Image();
|
|
chartImageContainer.style.display = 'block';
|
|
}, 500);
|
|
}
|
|
|
|
// Load provinces list
|
|
async function loadProvinces() {
|
|
try {
|
|
const [response63, response32] = await Promise.all([
|
|
fetch('/api/provinces/by-region'),
|
|
fetch('/api/provinces-32/by-region')
|
|
]);
|
|
|
|
allProvinces = await response63.json();
|
|
allProvincesMerged = await response32.json();
|
|
|
|
populateProvinceSelect();
|
|
populateRegionButtons();
|
|
} catch (error) {
|
|
console.error('Error loading provinces:', error);
|
|
}
|
|
}
|
|
|
|
// Switch between 63 and 32 province lists
|
|
function switchProvinceList(mode) {
|
|
currentProvinceMode = mode;
|
|
|
|
const btn63 = document.getElementById('btn63Provinces');
|
|
const btn32 = document.getElementById('btn32Provinces');
|
|
const modeLabel = document.getElementById('provinceListMode');
|
|
|
|
if (mode === '63') {
|
|
btn63.style.background = '#667eea';
|
|
btn63.style.color = 'white';
|
|
btn32.style.background = '#ccc';
|
|
btn32.style.color = '#666';
|
|
modeLabel.textContent = 'Danh sách: 63 tỉnh';
|
|
} else {
|
|
btn63.style.background = '#ccc';
|
|
btn63.style.color = '#666';
|
|
btn32.style.background = '#667eea';
|
|
btn32.style.color = 'white';
|
|
modeLabel.textContent = 'Danh sách: 32 tỉnh (sáp nhập)';
|
|
}
|
|
|
|
populateRegionButtons();
|
|
populateProvinceSelect();
|
|
}
|
|
|
|
// Populate province select dropdown
|
|
function populateProvinceSelect(filterRegion = 'all') {
|
|
const select = document.getElementById('provinceSelect');
|
|
select.innerHTML = '<option value="">-- Chọn tỉnh thành --</option>';
|
|
|
|
const provinceData = currentProvinceMode === '63' ? allProvinces : allProvincesMerged;
|
|
const regions = Object.keys(provinceData);
|
|
|
|
regions.forEach(region => {
|
|
if (filterRegion !== 'all' && region !== filterRegion) return;
|
|
|
|
const optgroup = document.createElement('optgroup');
|
|
optgroup.label = region;
|
|
|
|
provinceData[region].forEach(prov => {
|
|
const option = document.createElement('option');
|
|
option.value = prov.name;
|
|
option.textContent = prov.name;
|
|
option.dataset.bbox = JSON.stringify(prov.bbox);
|
|
optgroup.appendChild(option);
|
|
});
|
|
|
|
select.appendChild(optgroup);
|
|
});
|
|
}
|
|
|
|
// Handle province selection
|
|
function onProvinceSelect(event) {
|
|
const select = event.target;
|
|
const selectedOption = select.options[select.selectedIndex];
|
|
|
|
if (!selectedOption.value) return;
|
|
|
|
const provinceName = selectedOption.value;
|
|
const bbox = JSON.parse(selectedOption.dataset.bbox);
|
|
|
|
currentProvinceName = provinceName;
|
|
|
|
// Update bbox inputs
|
|
document.getElementById('minLon').value = bbox[0];
|
|
document.getElementById('minLat').value = bbox[1];
|
|
document.getElementById('maxLon').value = bbox[2];
|
|
document.getElementById('maxLat').value = bbox[3];
|
|
|
|
// Update displays
|
|
document.getElementById('bboxDisplay').textContent =
|
|
`Lon: ${bbox[0]} → ${bbox[2]}, Lat: ${bbox[1]} → ${bbox[3]}`;
|
|
document.getElementById('provinceDisplay').textContent = `📍 ${provinceName}`;
|
|
|
|
// Draw rectangle on map
|
|
const bounds = [[bbox[1], bbox[0]], [bbox[3], bbox[2]]];
|
|
|
|
if (currentRectangle) {
|
|
drawnItems.removeLayer(currentRectangle);
|
|
}
|
|
|
|
currentRectangle = L.rectangle(bounds, {
|
|
color: '#27ae60',
|
|
weight: 3,
|
|
fillOpacity: 0.2
|
|
});
|
|
drawnItems.addLayer(currentRectangle);
|
|
map.fitBounds(bounds, { padding: [50, 50] });
|
|
}
|
|
|
|
// Populate region filter buttons
|
|
function populateRegionButtons() {
|
|
const container = document.getElementById('regionFilterContainer');
|
|
const allButton = container.querySelector('[data-region="all"]');
|
|
container.innerHTML = '';
|
|
container.appendChild(allButton);
|
|
|
|
const provinceData = currentProvinceMode === '63' ? allProvinces : allProvincesMerged;
|
|
const regions = Object.keys(provinceData);
|
|
|
|
regions.forEach(region => {
|
|
const button = document.createElement('button');
|
|
button.type = 'button';
|
|
button.className = 'region-filter-btn';
|
|
button.dataset.region = region;
|
|
button.textContent = region;
|
|
button.style.cssText = 'padding: 3px 10px; background: #e0e0e0; color: #666; border: none; border-radius: 15px; font-size: 0.85em; cursor: pointer;';
|
|
container.appendChild(button);
|
|
});
|
|
|
|
setupRegionFilters();
|
|
}
|
|
|
|
// Setup region filter event listeners
|
|
function setupRegionFilters() {
|
|
const filterButtons = document.querySelectorAll('.region-filter-btn');
|
|
|
|
filterButtons.forEach(btn => {
|
|
btn.addEventListener('click', function() {
|
|
filterButtons.forEach(b => {
|
|
b.style.background = '#e0e0e0';
|
|
b.style.color = '#666';
|
|
});
|
|
|
|
this.style.background = '#27ae60';
|
|
this.style.color = 'white';
|
|
|
|
const region = this.dataset.region;
|
|
populateProvinceSelect(region);
|
|
});
|
|
});
|
|
}
|
|
|
|
// Initialize on page load
|
|
window.onload = function() {
|
|
initMap();
|
|
loadModels();
|
|
loadProvinces();
|
|
|
|
document.getElementById('provinceSelect').addEventListener('change', onProvinceSelect);
|
|
};
|
|
|
|
// Download data as CSV
|
|
function downloadData() {
|
|
if (!ndviData) return;
|
|
|
|
let csv = 'Date,Mean_NDVI,Min_NDVI,Max_NDVI,Std_NDVI,Valid_Points\n';
|
|
ndviData.timeseries.forEach(item => {
|
|
csv += `${item.date},${item.mean_ndvi},${item.min_ndvi},${item.max_ndvi},${item.std_ndvi},${item.n_valid_points}\n`;
|
|
});
|
|
|
|
const blob = new Blob([csv], { type: 'text/csv' });
|
|
const url = window.URL.createObjectURL(blob);
|
|
const a = document.createElement('a');
|
|
a.href = url;
|
|
a.download = `ndvi_timeseries_${new Date().toISOString().split('T')[0]}.csv`;
|
|
a.click();
|
|
window.URL.revokeObjectURL(url);
|
|
}
|
|
|
|
// Download chart as PNG
|
|
function downloadChart() {
|
|
if (!ndviChart) return;
|
|
|
|
const url = ndviChart.toBase64Image();
|
|
const a = document.createElement('a');
|
|
a.href = url;
|
|
a.download = `ndvi_chart_${new Date().toISOString().split('T')[0]}.png`;
|
|
a.click();
|
|
}
|
|
|
|
// Show error message
|
|
function showError(message) {
|
|
document.getElementById('errorContainer').style.display = 'block';
|
|
document.getElementById('errorMessage').textContent = message;
|
|
}
|
|
</script>
|
|
</body>
|
|
</html>
|