MattiaRigi97
Data Scientist @latitudo40organization | Graduated in Data Science & Statistical and Economics Sciences | Università di Milano Bicocca #EarthObservation
Milan
MattiaRigi97's Stars
satellite-image-deep-learning/techniques
Techniques for deep learning with satellite & aerial imagery
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
protontypes/open-sustainable-technology
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech
wenhwu/awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
GeoNode/geonode
GeoNode is an open source platform that facilitates the creation, sharing, and collaborative use of geospatial data.
Candy-CY/Hyperspectral-Image-Classification-Models
收录及复现的高光谱遥感图像分类模型
CLIMADA-project/climada_python
Python (3.8+) version of CLIMADA
kleok/FLOODPY
Flood Python Toolbox
Lkruitwagen/solar-pv-global-inventory
Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic generating stations.
shawnlaffan/biodiverse
A tool for the spatial analysis of diversity
allometric/allometric
Structured allometric models for trees
UMEP-dev/UMEP
Urban Multi-scale Environmental Predictor
lauraset/Super-resolution-building-height-estimation
royalosyin/Work-with-DEM-data-using-Python-from-Simple-to-Complicated
Work with DEM data using Python from Simple to Complicated. Many python packages will be touched such as GDAL, numpy, xarray, rasterio, folium, cartopy, geopandas etc.
UNITAR-UNOSAT/UNOSAT-AI-Based-Rapid-Mapping-Service
This GitHub repository contains the machine learning models described in Edoardo Nemnni, Joseph Bullock, Samir Belabbes, Lars Bromley Fully Convolutional Neural Network for Rapid Flood Segmentation in Synthetic Aperture Radar Imagery.
ArcticSnow/TopoPyScale
TopoPyScale: a Python library to perform simplistic climate downscaling at the hillslope scale
UN-SPIDER/radar-based-flood-mapping
This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.
mapme-initiative/mapme.biodiversity
Efficient analysis of spatial biodiversity datasets for global portfolios
Element84/earth-search
Earth Search information and issue tracking
OvertureMaps/overture-with-daylight
How to create a map with Overture data with context layers from the Daylight OSM Distribution
cordmaur/Sentinel1-Flood-Finder
ML Flood Finder Package from Sentinel 1 (SAR) Imagery
Nrevyw/awesome-hyperspectral
Awesome projects, papers, and tools for working with hyperspectral imagery
daviddkovacs/pyeogpr
GPR processing of Earth Observation data implemented with Google Earth Engine and openEO
alexxxroz/Medium
Notebooks and scripts for Medium publications: https://medium.com/@alexroz
digitalcityscience/COUP-frontend
COUP: Cockpit for Collaborative Urban Planning
mayrajeo/geo2ml
Python library and module for converting earth observation data to be suitable for machine learning models
amirafshari/rs-cbir
Satellite Image Vector Database and Multimodal Search
frederikpriem/GSLtools
jacobbieker/solar-mapper
Global PV Panel mapping with Sentinel-2 data
Romain3Ch216/tlse-experiments
Code to reproduce the experiments of the paper: Toulouse Hyperspectral Data Set, a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques