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atmosphericcorrection

6s模型大气校正python版本，支持GF1、2,Landsat-8,Sentinel-2等影像

batch-interpolation

A QGIS-plugin, which creates a batch process of the QGIS Raster Interpolation (TIN or IDW) and gdal_contour.

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)

dask-rasterio

Read and write rasters in parallel using Rasterio and Dask

datacube-core

Open Data Cube analyses continental scale Earth Observation data through time

dnppy

DEVELOP National Program Python package for use with NASA data and GIS!

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

ease_grid

EASE grid latitude-longitude generation

echarts-python

Generate Echarts options with Python.

envs4990_data-processing

This series of python and R scripts takes a multiband raster and splits it into separate rasters, converts each new .tif file into an ASCII format. Notes are included in the script for customizing input/output directories and other settings.

espa-bulk-downloader

esrcnn-for-landsat8-sentinel2-fusion

extract_values

Extract values from number of rasters with Python/GDAL

extract_values_to_points

Extraction of values in raster(s) to points from a point shapefile using python (GDAL)

fluxnet-compare

This is a side project from the main PCSE-carbon cycle, where we compare FluxNet observations of the GPP, TER and NEE fluxes to simulated fluxes from PCSE and SiBCASA

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.

gdal-point-extraction-for-environmental-raster-data

Python code for extracting the pixel value of raster data in .tif files based on lat/long coordinates.

gdal-point-extraction-for-raster-data

Python code for extracting the pixel value of raster data in .tif files based on lat/long coordinates. Pulling data from the following .tif maps: 1 km MODIS-based Maximum Green Vegetation Fraction and 0.5 km MODIS-based Global Land Cover Climatology.

gdal_calc_numpy

Function to help calculating Numpy mean from a list of raster images

gdal_reclassify

command line tool to reclassify rasters

gdal_retile_multi

run multiple gdal_retile processes simultaneously on one (usually large) raster dataset . See WIKI for a visual and explanation.

georaster

Geographic Raster functionality for Python using osgeo and GDAL.

global_gpp_vpm_ncep_c3c4

simulation of global GPP using the NCEP reanalysis II considering C3 and C4 difference

hants

This repository is a python implementation of the Harmonic ANalysis of Time Series (HANTS) applied to geographic data. The python module can be used to perform the HANTS analysis to a collection of time-variable raster data at each pixel.

heading-date-estimation

Implementation of "Automatic Estimation of Heading Date of Paddy Rice using Deep Learning"

land-gpp-model-python

Net land carbon exchange (NEE) model

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-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.