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awesome-gee

A curated list of Google Earth Engine resources

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

change-detection-review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

cnn-al-mrf

This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".

content_guided_cnn

Content-Guided Convolutional Neural Network for Hyperspectral Image Classification

cryogrid3

CryoGrid is a one-dimensional land surface model dedicated to simulate ground temperatures in permafrost environments. The model calculates the surface energy balance in order to represent energy transfer processes between the atmosphere and the ground. These processes include the radiation balance, the exchange of sensible heat, as well as evaporation and condensation. For a realistic representation of the thermal dynamics of the ground, the model includes processes such as the phase change of soil water and an insulating snow cover during winter. Further developments of CryoGrid already enable the model to represent processes such as ground subsidence and the formation of thermokarst due to melting of excess ground ice. The implemented lake module (FLAKE) allows CryoGird also to simulate heat transfer processes of tundra landscapes that are densely populated by lakes and ponds.

cuestarfm

cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)

custarfm

cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)

custnlffm

cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)

dcvavhroptical

Deep Change Vector Analysis

demo_spectral_spatial_hyperspectral_classification

This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.

dsfanet

Code for Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

dsfanet-1

Tensorflow implementation for Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

esrcnn-for-landsat8-sentinel2-fusion

extensive-identification-of-landslide-boundaries

This folder holds the source code for the article "Extensive Identification of Landslide Boundaries Using Remote Sensing Images and Deep Learning Models". "Landslide Detection code.m" is the implementation code of the MM-DAGNN method in this paper. The dataset is publicly accessible.link from: http://gpcv.whu.edu.cn/data/Bijie_pages.html

feature-base-fusion-for-splicing-forgery-detection-based-on-neuro-fuzzy

These are the Matlab codes used for my master thesis as well as the paper "Feature base fusion for splicing forgery detection based on Neuro fuzzy".

fmask

The software called Fmask (Function of mask) is used for automated clouds, cloud shadows, and snow masking for Landsats 4-8 and Sentinel 2 images.

gabor

Gabor Feature Extraction

gda

Generalized Discriminant Analysis (GDA) - non-linear feature dimensionality reduction technique

gee-image-fusion

grn

This is the code for the TGRS paper "Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising".

hsi-cnn

Classification of Hyperspectral Remote Sensing Images Based on Convolutional Neural Network

hyperspectral-change-detection-based-on-multiple-morphological-profiles

Hyperspectral Change Detection Based on Multiple Morphological Profiles

i.landsat8.swlst

Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery

integrating-shipborne-images-with-multichannel-deep-learning-for-landslide-detection

This folder holds the source code for the article "Integrating Shipborne Images with Multichannel Deep Learning for Landslide Detection".

land_surface_temperature_landsat

Compute land surface temperature(LST) from Landsat-8 data using the mono-window and split-window techniques in literature.

landslides_detection

Machine learning tool to detect landslides from optical satellite imagery

landsurfacephenology_sentinel2

lda

Linear discriminant analysis