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drought-and-crop-yield

REGIONAL DROUGHT AND CROP YIELD INFORMATION SYSTEM (RDCYIS)

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

eo-learn

Earth observation processing framework for machine learning in Python

esdm

A user-friendly spatial tool with a web-based interface that allows users to import SDM layers and create and explore ensemble predictions to inform management and explore spatial uncertainties

extract_values

Extract values from number of rasters with Python/GDAL

extractdata

farm-pin-crop-detection-challenge

8th place solution to Zindi's FarmPin Crop Detection Challenge

feature-clip-merge

For clipping rasters based on polygon features and merging rasters back together

fish_detection

Fish detection using Open Images Dataset and Tensorflow Object Detection

forestoolboxrs

Remote Sensing Tools for Forest Monitoring

gdal

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats. This is a mirror of the GDAL Subversion repository.

gdal2tiles-workshop

create a map tile set with GDAL

gee-atmcorr-s2

Atmospheric correction of a (single) Sentinel 2 image

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

geohack2016renew

getoc

Bulk download Ocean Color images.

hackathonbathymetryestimation

Responsable : Mahmoud Al-Najar, Erwin Bergsma https://www.kaggle.com/c/bathymetry-estimation/ The ability to track the evolution and development of the physical characteristics of coastal areas over time resulting from different natural forces is an important factor in coastal development, planning, risk mitigation, and overall coastal zone management. Traditional bathymetry surveys using echo-sounding techniques are expensive and are conditioned on different site-specific characteristics. Remote sensing tools have recently emerged as reliable and inexpensive data sources for bathymetry estimation using inversion models. In this hackathon, we will use satellite imagery to predict ocean depth. Following work on physical wave modelling, we will use wave information extracted from satellite images to learn an inverse model of wave dynamics which predicts bathymetry. Through a Kaggle competition, students will have access to 2 training sites, St. Louis and French Guiana, and will be evaluated on their models’ performance on a third site in Portugal.

i.worldview.toar

Converting WorldView2 Digital Numbers to Spectral Radiance or Reflectance

instancesegmentation_sentinel2

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

interactive_jupyter

SciProg Workshop Material: Introducing Interactivity into Jupyter Notebooks

intro-to-leaflet-workshop

Web Maps from Scratch with Leaflet.js

kaggle-airbus-ship-detection

Airbus Ship Detection Challenge (Kaggle) - Find ships on satellite images as quickly as possible

kaggle-notebooks

Sample notebooks for Kaggle competitions

land-cover-semantic-segmentation

TIFF File, GDAL, Cloud Masking, Threshold, DBSCAN

landcovermonitoring

landcoverportal

simple example of landcover portal

leaflet-providers

An extension to Leaflet that contains configurations for various free tile providers.

mapbox-overview

A brief overview of Mapbox.com services and features