ndvi-index

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

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

This repo contains source code and other resources for Normalized Difference Vegetation Index (NDVI) experiments

Sentinel-2 images are Multi-Spectral satellite images (Electro-optical). Here, utility functions and various index analyses are implemented.

Toolkit created to do extraction, gap-filling and trend analysis over Sentinel 2 time-series from Earth Engine

A selection of custom developed python codes for use in various drone imaging applications, such as batch conversion of DNG (RAW) drone images to JPEG or PNG, use of the rawpy library features of demosaicing, gamma factor correction and use of skimage library to demonstrate histogram histogram equalization in colour images to create better contr…

NDVI using RPi camera

AI in agriculture

Tool for the placement of green cells on the Bologna landscape using specifically designed combinatorial optimization techniques. To display our results check the link.

GreenRoots: An AI/ML project dedicated to promoting mangrove sustainability and fostering community engagement in mangrove conservation efforts.

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

(Semester 1) Intelligence of Biological Systems - End Semester Project

Extract - Transform - Load (ETL) workflow integrating Earth Engine and Meteostat data to monitor wildfire-related conditions across Portugal.

The NDVI Time-Series Analyzer is a Python script that calculates and visualizes the Normalized Difference Vegetation Index (NDVI) for given geospatial points over a specified time range using Sentinel-2 L2A imagery.

Integration of 4 spectral cameras with low level sensor fusion techniques to monitor Vegetation.

Data-driven deep learning framework designed to predict future Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) maps conditioned on proposed changes in land cover, using a Metadata-Augmented U-Net

API of services timeseries of MODIS NDVI.

Calculating NDVI(vegetation index in russian)/ Вычисление NDVI (вегетационного индекса)

The repository is a duplicate of the local folder which contains codes created by Yuanzhan Gao (yg8ch@virginia.edu) to conduct NDVI pixel value extractions on NASA's satellite data. Please see the README file for more information.

"Evaluating Nusantara's Ecological Footprint" uses remote sensing to analyze vegetation health around Indonesia's new capital, offering insights for sustainable urban planning