ECOSTRESS Collection 2 STARS Data Fusion Product Generating Executable (PGE)

Using time series machine learning models to predict crop growth and processing image field data collected by IoT units as part of an AgAID internship

Repository of Jupyter notebooks aimed at learning how to use Python to retrieve data from Google Earth Engine

ECOSTRESS Collection 2 STARS Data Fusion Product Generating Executable (PGE)

Automating Soil Science—Excel-Free Tea Time!

Spatiotemporal Analysis of Agricultural Drought Severity and Hotspots in Somaliland. It integrates MODIS-derived vegetation indices and CHIRPS precipitation data to identify and assess drought severity and hotspots over time.

A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform

Repository for Sarasota Science and Technology Society (STS) Processing of STELLA Spectrometer Data

Scripts for calculating ground cover percentage from RGB images using the Green Excess Index. Includes automated image processing and batch analysis with R, outputting results as CSV files, grayscale cover images, and PDF reports.

This repository contains a pipeline blending Python and R features, first to: download, preprocess, and compute Sentinel-1 SAR vegetation indices (all in Python); following for image sampling in R.

Notebooks for preprocessing and analysis of Planetscope 4 band data/imagery, using rasterio and fiona.

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.

Non-parametric weighted Whittaker smoothing

VICAL is a open-source implementation to calculate 23 VIs map (VIs commonly used in agricultural applications) and time series of any agricultural area

Bu repoda ESA SNAP yazılımı ile temel Sentinel-2 görüntü işleme süreci özetlenecektir.

Asparagus Leaf Density Mapping Tools: Scripts for automatically quantifying and visualizing leaf density map from given images

A study of the stress response of vegetation to drought situation through multispectral satellite imagery. Case of study of Como lake, summer 2022.

ENVI/IDL extensions for NRS department

A geospatial raster processing library for machine learning

Script for automatic processing of Sentinel 2 images from Open Hub.