NDVI time series from Sentinel-2 reveals the complete crop growth cycle — planting date, peak canopy, stress events, and harvest timing. Learn how to set up crop monitoring, identify the key phenological stages, and detect anomalies that signal crop failure or irrigation problems.
2026-04-05 · 12 min read
How SAR backscatter responds to soil moisture content, the physical basis for radar-based soil moisture estimation, and practical challenges including vegetation cover and surface roughness effects.
2026-02-08 · 8 min read
Satellite data is transforming precision agriculture, but not every sensor or index is useful for every crop. This guide covers what works, what doesn't, and how to build a practical field monitoring workflow.
2025-12-14 · 7 min read
A comprehensive guide to NDVI (Normalized Difference Vegetation Index) — what it measures, how to interpret values, and practical applications for agriculture, forestry, and environmental monitoring.
2025-12-03 · 5 min read
How satellite data detects crop stress from drought, nutrient deficiency, pests, and disease before visible symptoms appear. Covers spectral indicators, temporal anomaly detection, and the window between detection and yield loss.
2025-07-23 · 11 min read
How satellite-derived vegetation, soil moisture, and precipitation indices track drought conditions from space. Covers VCI, TCI, SPI, and combined drought indices used by operational monitoring systems.
2025-07-11 · 8 min read
Which soil properties satellites can estimate, the spectral signatures involved, and the practical accuracy of remote sensing for soil organic carbon, texture, moisture, and mineralogy mapping.
2025-07-05 · 8 min read
How satellite vegetation indices relate to crop yield, the statistical and process-based approaches to yield forecasting, and realistic accuracy expectations for different crops and regions.
2025-06-29 · 8 min read
How satellite imagery detects irrigated vs rainfed agriculture, monitors irrigation scheduling, and supports water resource management. Covers optical, thermal, and SAR approaches.
2025-06-24 · 6 min read
How multi-temporal satellite data enables crop type identification and mapping at field scale. Covers phenological signatures, classification approaches, and accuracy expectations for different crop types.
2025-06-18 · 9 min read
NDVI is the most popular vegetation index, but it saturates over dense canopy and is sensitive to soil background. EVI and SAVI solve these problems. This guide explains when to use each index.
2025-06-03 · 6 min read