erengursoyozdemir's Stars
AmirhosseinAhrari/GoogleEarthEngine
HakkiKaanSimsek/Machine-Learning
samedadl/RasterSplit
alessandrosebastianelli/SentinelDataDownloaderTool
A set of scripits that use the Google Earth Engine pyhton API for the automatic creation of datasets for AI applications.
opengeos/leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
IBM/customized-voice-text-bot-for-whatsapp-telegram
Customized Voice and Text Chatbot fully integrated to database (Cloudant an COS) using Watson Services deployed to IBM Cloud using Code Engine.
DL4ES/DL4ES
shankarpandala/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
kalkan/OTBileUyduGoruntuIsleme
Orfeo Toolbox ile temel uydu görüntü işleme
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
envima/spatialMaxent
spatialMaxent is an extension for Maxent version 3.4.4 (Copyright 2016 Steven Phillips, Miro Dudik and Rob Schapire), that provides a Forward-Variables-Selection (FVS), Forward-Feature-Selection (FFS) and tuning of the regularization multiplier together with spatial cross-validation. These methods are especially suited for spatial data.
hfattahi/PySAR
InSAR (Interferometric Synthetic Aperture Radar) timeseries analysis in python
asfadmin/Discovery-asf_search
leiyangleon/FSH
This software performs the automated forest height inversion and mosaicking from spaceborne repeat-pass L-band HV-pol InSAR correlation magnitude data (e.g. JAXA’s ALOS-1/2, and the future NASA-ISRO’s NISAR) that have been pre-processed by JPL’s ROI_PAC and/or ISCE programs.
dymaxionlabs/qgis-zonal-statistics-multiband
Extends Zonal Statistics official plugin with multiband raster support
dieghernan/tidyterra
tidyverse and ggplot2 methods for terra spatial objects
leftfield-geospatial/map-thicket-agc
Remote sensing of aboveground carbon in thicket using multi-spectral images
pbrotoisworo/GediSaber
Python package for analyzing NASA GEDI data. GEDI is a LiDAR dataset that is acquired using the International Space Station.
dondealban/sar-agb-modeling
Modeling SAR backscatter and forest AGB relationships.
quqixun/BioMassters
An algorithm that predicts yearly Aboveground Biomass for Finnish forests using satellite imagery. [NeurIPS 2023 Datasets & Benchmarks Track]
ornldaac/gedi_tutorials
GEDI L3 and L4 Tutorials
matlab-deep-learning/Biomass-Estimation-Starter-Code
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
caniban/MEU_Makine_Ogrenmesi
Mersin Üniversitesi Harita Mühendisliği Bölümü ve Uzaktan Algılama / CBS Yüksek Lisans Programı dahilinde verilen Veri Bilimi ve Makine Öğrenmesi derslerinin Jupyter Notebook dosyalarını ve kullanılan veri setlerini içerir.
kalkan/mekansal-python
Python ile Mekansal Veri İşlemeye Giriş
EarthBigData/openSAR
Synthetic Aperture Radar (SAR) Tools and Documents from Earth Big Data LLC
ASFOpenSARlab/opensarlab-notebooks
ASFOpenSARlab/opensarlab-envs
Conda environments for OpenSARlab
renelikestacos/Google-Earth-Engine-JavaScript-Examples
Various examples for Google Earth Engine in Javascript
r-spatial/rgee
Google Earth Engine for R