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caffe

Caffe: a fast open framework for deep learning.

change-detection-images-gee

difference images for landslide detection with GEE

chitwan_modis_svis

Prepare MODIS MOD13Q1 and MYD13Q1 vegetation products for TIMESAT.

coseismic-landslide-detection

Co-seismic landslide detection using ResUnet

da-transunet

DA-TransUNet: Combining Dual Attention of Position and Channel with Transformer U-net for Medical Image Segmentation

dtwsat

Time-Weighted Dynamic Time Warping for satellite image time series analysis

dual-attention-u-net-with-feature-infusion-pushing-the-boundaries-of-multiclass-defect-segmentation

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

easyshu-wechat

微信公众号【EasyShu】博文配套文件

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.

gee_timeseries

Google Earth Engine time series with Savitzky-Golay filter

gee_whittaker

Non-parametric weighted Whittaker smoothing

geomla

Machine Learning algorithms for spatial and spatiotemporal data

glance-tools

Tools and apps to interact with the ouputs of the CCDC algorithm in Google Earth Engine, tailored for out international project collaborators

land-cover-change-modeling-methods

land cover change modeling methods

landslide-detect

Develop and deploy a workflow to evaluate the effectiveness of Synthetic Aperture Radar in mapping surface damage caused by landslides in reported locations.

landslide-mapping-on-sar-data-by-attention-u-net

This repository contains codes and sample data from the journal paper "Rapid Mapping of landslide on SAR data by Attention U-net" by Nava et al (2022). With this repository files you can train the Attention U-Net segmentation model on Sentinel-1 SAR amplitude landslide data sampled for the Hokkaido multiple landslide event of September 2018.

landslide-timings-from-sentinel-1-gamma0-in-gee

This repository contains supplementary codes for the paper "Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding"

landslide_detection

Download & Process Sentinel-1 imagery from google earth engine to training images in tfrecord format which can be used as input for machine learning/deep learning classification models

landtrendr-2012

LandTrendr Code (from /projectnb/trenders/code/LandTrendr2012)

landtrendr-ccdc

Tool to compare the outputs of the LandTrendr and CCDC algorithms for a single Landsat pixel

large-scale-multi-spatiotemporal-landslide-mapping

By using the pre-trained models, this method enables quick and simple mapping of landslides at various spatiotemporal scales. The method also offers the adaptability of re-training a pretrained model to identify landslides caused by both rainfall and earthquakes on different target locations.

learn

lst_landsat

Landsat Land Surface Temperature (LST) Retrieval – Google Earth Engine (GEE) Implementation

lt-gee

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

marta-gan

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

opensource_obia_processing_chain

An open-source semi-automated processing chain for urban OBIA classification.

province-city-china

🇨🇳最全最新**【省、市、区县、乡镇街道】json,csv,sql数据

radiometric-slope-correction

Radiometric Slope Correction of Sentinel-1 data on Google Earth Engine

random-forest-matlab

A Random Forest implementation for MATLAB. Supports arbitrary weak learners that you can define.