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

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

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

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 contrast and depth. This repository also increases coding developed for use in generating panorama composite images both in JPG and DNG format, a very useful technique in high definition aerial imagery and makes use of the SIFT algorithm in Python's OpenCV image stitcher function. These codes are open for use in educational and demonstration uses and for non-profit organisations.

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

NDVI using RPi camera

AI in agriculture

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

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

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

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

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.

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.

API of services timeseries of MODIS NDVI.

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

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

Multispectral image analysis for precision agriculture with drone. Volume clustering, NDVI index and index clustering

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

Projects of remote sensing with Google Earth Engine scripts

Store of a large HEA analysis completed under the SADC RVAA Programme for the national Dept of Agriculture, Forestry and Fisheries in 2016

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

This script processes Sentinel-2 satellite imagery to calculate various indices (NDVI, MNDWI, SAVI, NDBI).

This repository contains our submitted jupyter notebook for "Jupyter Notebook Competition 2022" by Wekeo

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

NDVI histogram for DAI

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

Real time NDVI tool for custom usb cameras.

Harness the power of U-Net and advanced interpolation techniques to extract LST, emissivity, and NDVI from satellite images. Transform. raw satellite data into meaningful insights for climate analysis, agriculture, and urban studies

Sentinel NDVI Pipeline