cristhian0224

SSL4EO-S12

SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation

Analisis-Raster-con-Python-para-Dummies

FAO_crop_boundary

Scalable workflow for crop boundary delineation using pre-trained deep learning model

SAM_field_delineation

Leveraging Segment-Anything Model (SAM) to delineate crop field boundaries on Sentinel-2 images

DSen2

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network

model

The Clay Foundation Model (in development)

Detecting-Roads-from-Satellite-Images

This repo contains a UNet based deep learning model for identifying roads from aerial images

An-unexpectedly-large-count-of-trees-in-the-western-Sahara-and-Sahel

This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".

greenhouse_classification

field_boundary_delineation

This repository contains an eCognition-based application for semi-automated delineation of agricultural field boundaries.

ForAfric-Agricultural-Fields-Delineation

Instance Aware segmentation of Agricultural Fields Using Mask R-CNN (Computer vision project)

BsiNet-torch

JAG: Delineation of agricultural fields using multi-task BsiNet from high-resolution satellite images

field-boundary-delineation

Code & trained network files of FCNs to delineate agricultural field boundaries

field-delineation

Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.

eo-grow

Earth observation framework for scaled-up processing in Python

crop-type-mapping

Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification

S4A-Models

Various experiments on the Sen4AgriNet dataset

Plant_AI

Performing Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.

EuroCrops

The official repository for the EuroCrops dataset.

competition-winners

The code for the prize winners in DrivenData competitions.

eeimad

iMAD Earthengine Tutorial

DL-for-satellite-image-analysis

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

RoadDetections

Road detections from Microsoft Maps aerial imagery

HighResCanopyHeight

This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".

remote-sensing-data-fetcher

tensorflow-eo-training

Deep learning with TensorFlow and earth observation data.

tensorflow-eo-training-2

A workshop taught in 2023 for NASA SERVIR, ACCA, and members of other environmental organizations in South America

peru-mobile-signal-schools

3D visualization tool that highlights the location of educational institutions and mobile phone antennas from different providers throughout the country of Peru.

cloud-optimized-geospatial-formats-guide

servir-amazonia-ml

See https://github.com/developmentseed/tensorflow-eo-training-2 for the new version!