This is team Agrobotics from NIT Surat and it contains all the software approaches we developed during the NIDAR - 25-26 competition
-
Updated
Jan 12, 2026 - HTML
This is team Agrobotics from NIT Surat and it contains all the software approaches we developed during the NIDAR - 25-26 competition
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.
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.
Streamlit dashboard for crop mapping validation using survey points and NDVI
Data analysis and object detection to assess Hurricane Maria's impact using NDVI analysis and YOLO modeling for disaster relief planning.
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).
Add a description, image, and links to the ndvi-analysis topic page so that developers can more easily learn about it.
To associate your repository with the ndvi-analysis topic, visit your repo's landing page and select "manage topics."