pritamd47

pritamd47's Stars

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.6k1.8k19418k

• giswqs/earthengine-py-notebooks

  A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

  Language:Jupyter Notebook1.4k9610409

• opengeos/Awesome-GEE

  A curated list of Google Earth Engine resources

  1k539201

• makepath/xarray-spatial

  Raster-based Spatial Analytics for Python

  Language:Python8542448385

• corteva/rioxarray

  geospatial xarray extension powered by rasterio

  Language:Python5361630785

• neuralhydrology/neuralhydrology

  Python library to train neural networks with a strong focus on hydrological applications.

  Language:Python3762752193

• renelikestacos/Google-Earth-Engine-Python-Examples

  Various examples for Google Earth Engine in Python using Jupyter Notebook

  Language:Jupyter Notebook315262124

• rafaqz/Rasters.jl

  Raster manipulation for the Julia language

  Language:Julia220735937

• aazuspan/wxee

  A Python interface between Earth Engine and xarray for processing time series data

  Language:Python207105316

• cordmaur/WaterDetect

  Water Detect Algorithm

  Language:Jupyter Notebook20162137

• Servir-Mekong/hydra-floods

  HYDrologic Remote sensing Analysis for Floods Python package

  Language:Python167153650

• giswqs/earthengine-py-examples

  A collection of 300+ examples for using Earth Engine and the geemap Python package

  Language:Python13517250

• podaac/data-subscriber

  Subscribe and bulk download collections of data at PO.DAAC

  Language:Python92119532

• dshean/pygeotools

  A collection of libraries and utilities for geospatial data processing/analysis

  Language:Python8812829

• tsutterley/read-ICESat-2

  Python tools for obtaining and working with elevation data from the NASA ICESat-2 mission

  Language:Python748329

• evetion/GeoDataFrames.jl

  Simple geographical vector interaction built on top of ArchGDAL

  Language:Julia687396

• uw-cryo/skysat_stereo

  Tools and libraries for processing Planet SkySat imagery, including camera model refinement, stereo reconstruction, and orthomosaic production

  Language:Jupyter Notebook6751316

• fitoprincipe/ipygee

  A set of tools for working with Google Earth Engine Python API in Jupyter notebooks

  Language:Python6341519

• CNES/swot-hydrology-toolbox

  Language:Python5513820

• KMarkert/EarthEngine.jl

  Google Earth Engine in Julia

  Language:Julia49442

• SlideRuleEarth/sliderule-python

  SlideRule Earth Example Notebooks: On-demand, cloud-based processing of satellite mission data (NASA ICESat-2, GEDI, ArcticDEM/REMA, HLS)

  Language:Shell4185321

• cordmaur/GEES2Downloader

  Downloader for GEE S2 bands

  Language:Python39547

• KMarkert/restee

  Python package to call processed EE objects via the REST API to local data

  Language:Python38234

• JuliaEarth/GeoTables.jl

  Geospatial tables compatible with the GeoStats.jl framework

  Language:Julia294192

• pritamd47/rat_v2

  Satellite remote sensing based reservoir operations monitoring

  Language:Python102134

• fitoprincipe/geedatasets

  Google Earth Engine Datasets (hard)coded in Python for easier manipulation

  Language:Python9204

• adehecq/ragmac_xdem

  Scripts to calculate glacier mass balance as part of the IACS RAGMAC Intercomparison experiment.

  Language:Jupyter Notebook84394

• spestana/how-to-graduate

  Language:Makefile8217

• satellitehydrology/fier_mekong

  Language:Python23

• UW-SASWE/BWDB-NE-Haor

  Language:MATLAB2100