NDVI Analysis
Vegetation health index with calibrated proxy modeling.
Выберите любую точку на Земле и получите полный экологический отчет: климат, спутниковые сцены, риски, рекомендации по урожаю и AI-интерпретацию.
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Features
Vegetation health index with calibrated proxy modeling.
Heat and dryness risk from climate and wind factors.
Water stress, flood potential, and moisture trends.
Actionable farming advisory with irrigation guidance.
Built-up pressure in mixed land-use regions.
Track scene-level changes and cloud-filtered passes.
Выберите точку на карте или нарисуйте полигон. Платформа загрузит реальные климатические и спутниковые данные и вернет полный AI-отчет.
Запустите анализ, чтобы увидеть полный отчет.
Live Intelligence
Live Alerts
[FIRE] Amazon Basin: fire risk up 12%
[FLOOD] Mekong: flood pressure elevated
[DROUGHT] Horn of Africa: drought signal high
[FOREST] Congo: canopy decline detected
Global Counters
ha analyzed: 284,500
active alerts: 1,847
countries monitored: 195
Before / After NDVI
2022 NDVI 0.68 | 2024 NDVI 0.41
API Status Dashboard
Run analysis to display live API status.
Technology
01
User selects a map point or polygon footprint.
02
NASA, Open-Meteo, Copernicus, Nominatim, and elevation services queried in parallel.
03
Empirical vegetation and drought proxies are computed from real inputs.
04
AI provider returns structured advisory and recommendations.
05
Report, risk scores, forecast dashboard, and planning context are returned.
Architecture
Satellite and climate APIs to Analyze API to Risk engine to AI layer to Results and plan APIs to External clients.
Pricing
$0/mo
5 analyses per month, basic NDVI
$20/mo
50 analyses, full spectral, scan history
$100/mo
Unlimited, priority AI, export PDF reports
API Documentation
import requests
response = requests.post(
"https://api.ecoscan.ai/v1/analyze",
headers={"Authorization": "Bearer YOUR_API_KEY"},
json={
"coordinates": {"lat": 51.18, "lon": 71.44},
"radius_km": 50,
"analysis_type": "vegetation",
"time_range": "30d"
}
)
data = response.json()
print(data["ndvi_score"])