ndvi-analysis

Open Intelligence for Every Farm - Monitor crop health with satellite imagery, detect anomalies early, and make data-driven decisions.

We are team AgriBotics, this repo contains the codes for building an autonomous agriculture drone with 2 phases, mapping drone to map and mark the selected areas for pesticide spraying based on pigmentation level and agricultural drone to spray the pesticide

Plataforma de análisis satelital para monitoreo de suelos agrícolas · Procesamiento de imágenes multiespectrales, índices de vegetación y modelos predictivos.

Streamlit dashboard for crop mapping validation using survey points and NDVI

Geospatial machine learning pipeline to detect and quantify urban expansion in Surat (India) using multi-temporal Landsat imagery. Implements NDVI/NDBI-based weak supervision, Random Forest classification, confidence-filtered change detection, and directional growth analysis.

Contains cleaned data and analysis scripts for a multi‐site woodland restoration study, focusing on key indicators—microbial biomass carbon (µg/g), PLFA community, total organic carbon (TOC) and soil pH. It provides summary statistics, ANOVA tests and visualisation workflows to compare soil health and microbial dynamics across restoration ages.

Monitor vegetation change and detect potential deforestation using Sentinel-2 imagery and NDVI difference over a ~300,000 km² sub-region in the Brazilian Amazon (southern Rondônia / northern Mato Grosso).

Collection of geospatial analysis mini-projects using Python and GIS.

Geospatial dashboard for urban environmental analysis using satellite derived indicators NDVI and NDBI

Data analysis and object detection to assess Hurricane Maria's impact using NDVI analysis and YOLO modeling for disaster relief planning.

Complemento para o QGIS focado na extração e análise de séries temporais de índices de vegetação (NDVI) integrando dados da plataforma Satveg

AI-Based Deforestation Monitoring System Using Satellite Image Analysis uses satellite imagery, Google Earth Engine, and AI to detect illegal deforestation by comparing images from different time periods. It automatically analyzes vegetation changes and provides accurate forest loss reports to help forest authorities monitor and protect forests eff

AI-powered precision agriculture platform featuring NDVI satellite analysis, crop stress detection, and automated land record extraction for smarter farming

NDVI-based vegetation change analysis in Tangerang Selatan, Indonesia, using Sentinel-2 data and Google Earth Engine (2019–2025). This project maps green space dynamics and identifies areas with significant vegetation increase or decrease.