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