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gee-tutorials

This code base is collection of codes that are freely available for google earth engine. This is the collection of tutorials prepared by multiple individuals that were shared publicly as documents for learning purposes. These documents has been converted to web pages and are made easy access to the normal users via web page.

gefolki

GeFolki is a coregistration algorithm develop at ONERA in Medusa project

geomla

Machine Learning algorithms for spatial and spatiotemporal data

geopy

Python空间数据处理实战

geospatial_data_ming

get_ecmwf_data

下载ECMWF数据的脚本 并行版

google-earth-engine-python-examples

Various examples for Google Earth Engine in Python using Jupyter Notebook

gpm-downscaling

Machine learning based methods for satellite precipitation downscaling

gwmodel

GWmodel package

gwr

This is a repository for the geographically-weighted regression submodule of the Python Spatial Analysis Library

gwr4

GWR4 materials

hbayesdm

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

hbm

Hierarchical Bayesian Models

hc_rmg

Source code of the paper "Spectral and spatial classification of hyperspectral image based on random multi-graphs"

hrmet

High Resolution Mapping of EvapoTranspiration (HRMET) energy balance model

hydrodl

hypergbm

A full pipeline AutoML tool for tabular data

hyperspectraltoolbox

HyperSpectral Matlab Toolbox forked from Sourceforge

i.landsat.atcorr

Removing atmospheric effects in Landsat satellite acquisitions based on the 6S algorithm (Python script)

image-data-reconstruction-with-dineof

imagedenoisinggan

Image Denoising with Generative Adversarial Network

isofit

Imaging Spectromter Optimal FITting

istrum

Improved Spatial and Temporal Reflectance Unmixing Model

landmodetmapper

The LandMOD ET mapper is a Matlab based GUI for implementation of SEBAL and METRIC models on Landsat and MODIS.

landsat-classification-using-convolution-neural-network

Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08

landsat-classification-using-neural-network

All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.

landsat-panchromatic-assisted-downscaling-lpad-

Pansharpening Landsat 30 m data to 15 m resolution and reprojecting the Landsat 15 m data into Sentinel-2 20 m resolution

landsat-sentinel-fusion

Complementarity Between Sentinel-1 and Landsat 8 Imagery for Built-Up Mapping in Sub-Saharan Africa

landsat-time-series-analysis-for-multi-temporal-land-cover-classification

LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.

landsat_smw_lst

Land Surface Temperature from Landsat on Google Earth Engine