Alvise Ferrari's repositories
S2-AUTOMATIC-CROP-FIELD-SEGMENTATION-UNET-CANNY-WATERSHED
Completely automatic software for crop field segmentation using Sentinel-2 satellite images. This tool leverages a UNet architecture, trained on multitemporal Canny filter images and watershed algorithm, to deliver high-precision segmentation. Ideal for agricultural researchers and GIS specialists seeking efficient and scalable solutions.
PRISMA-CH4
This repository contains the code and resources for detecting and quantifying methane (CH4) emissions using PRISMA hyperspectral satellite imagery. The methodology utilizes the Cluster Tuned Matched Filter (CTMF) and a lookup table (LUT) to automate the generation of unit absorption spectra.
remote-sensing-for-agriculture
Algorithms for the optimal classification of agricultural land and segmentation of agricultural fields. All of the codes are developed in Javascript using GEE libraries and in Python using functions from openCV and Scikit-image libraries