remote-sensing topic

Techniques for deep learning with satellite & aerial imagery

satellite-image-deep-learning

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

gokriznastic

Python scripts to download and preprocess air pollution concentration level data aquired from the Sentinel-5P mission

bilelomrani1

a deep-learning-based river centerline extraction model

isikdogan

a deep model that segments water on multispectral images

isikdogan

Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.

weiji14

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

ropensci

💪 持续更新。WanJetpack使用Jetpack MVVM开发架构、单Activity多Fragment设计，项目结构清晰，代码简洁优雅，追求最官方的实现方式。欢迎star，非常感谢。已用到知识点：LiveData、ViewModel、DataBinding、ViewBin...

lelelongwang

framework for large-scale SAR satellite data processing

johntruckenbrodt

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

OSGeo

Long list of geospatial tools and resources

sacridini