Pinned Repositories
3d-forest-type-map
In this repo, you will learn how to create wonderful 3D forest-type maps with rayshader in R. We will create a 3D elevation mapped overlayed with an image of forest-type values derived from the Copernicus Global Land Cover project, which provides a harmonized and high-resolution classification and mapping of land cover types across the globe.
devtools
Tools to make an R developer's life easier
earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
ee-tensorflow-notebooks
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
EMIT-Data-Resources
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
gdal
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
geospatial-python
Introduction to Geospatial Raster and Vector Data with Python
JS-ML-with-Maps
ArcGIS API for JavaScript + Tensorflow.js Sample
raster-deep-learning
ArcGIS built-in python raster functions for deep learning to get you started fast.
tmSreedarsh
Config files for my GitHub profile.
tmSreedarsh's Repositories
tmSreedarsh/EMIT-Data-Resources
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Earth Surface Mineral Dust Source Investigation (EMIT) mission.
tmSreedarsh/3d-forest-type-map
In this repo, you will learn how to create wonderful 3D forest-type maps with rayshader in R. We will create a 3D elevation mapped overlayed with an image of forest-type values derived from the Copernicus Global Land Cover project, which provides a harmonized and high-resolution classification and mapping of land cover types across the globe.
tmSreedarsh/devtools
Tools to make an R developer's life easier
tmSreedarsh/earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
tmSreedarsh/ee-tensorflow-notebooks
Repository to place example notebooks for Deep Learning applications with TensorFlow and Earth Engine.
tmSreedarsh/gdal
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
tmSreedarsh/geospatial-python
Introduction to Geospatial Raster and Vector Data with Python
tmSreedarsh/JS-ML-with-Maps
ArcGIS API for JavaScript + Tensorflow.js Sample
tmSreedarsh/raster-deep-learning
ArcGIS built-in python raster functions for deep learning to get you started fast.
tmSreedarsh/tmSreedarsh
Config files for my GitHub profile.
tmSreedarsh/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data