vegetation-analysis

Python coding that takes images acquired using a Near-Infrared (NIR) converted camera and generates a modified Normalized Differential Vegetation Index (NDVI). Contains standalone with colorbar legend and batch versions. ENDVI and SAVI Indexes also available and with greyscale options.

This repository contains a study how we can examine the vegetation cover of a region with the help of satellite data. The notebook in this repository aims to familiarise with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.

Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth

Crop classification of Krishna and Godavari delta

Central index for my research projects, code, publications, and Zenodo‑archived materials, including work on spaceborne lidar, urban forestry, vegetation modeling, and open-source geospatial workflows.

R package for long-term vegetation monitoring protocols within national parks of the pacific islands. Protocols include "Focal Terrestrial Plant Communities" and "Established Invasive Plant Species".

Predicting how Actic vegetation types distribution in 2050 based on CAVM and CMIP6 climate models

pan-Arctic albedo trend analysis based on MODIS satellite and CMIP6 climate models data

Integrating remote sensing and machine learning to analyze the impact of climate change on vegetation health in Turkiye. (2016–2020)

Vegetation classification using ML: GAMs, SVM, PCA, Random Forests & Q-Learning-based feature selection.

Analysis of vegetation data from a student excursion to Gschnitz (Austria)

Data and code of Bauer et al. (2018) Riv Res Appl

A framework for retrieving reference values from 3D mesh inputs for analysis of LiDAR estimation algorithms on voxel characteristics.

Google Earth Engine analysis of vegetation change in a Meerut study area using Landsat 8/9 imagery, NDVI time-series analysis, and spatial change mapping from 2017 to 2026.

Regression Analysis of Normalized Difference Vegetation Index (NDVI) to Compare Seasonal Patterns and Vegetation Trend of Nepal (2021)

Satellite-based vegetation risk assessment for power line corridors using real Sentinel-2 imagery and NDVI analysis

A comprehensive web application for environmental site analysis providing vegetation, terrain, and climate data visualization. Built with Next.js and Django.

An open-source ecological informatics framework for analyzing tropical riparian forest communities using machine learning, explainable AI, biodiversity analytics, and reproducible ecological workflows.

Data and code of Bauer et al. (2018) Tuexenia

This code predicts the start date of the shrub growing season using the NDWI index.