OptimizeRasters is a set of tools for converting raster data to optimized Tiled TIF or MRF files, moving data to cloud storage, and creating Raster Proxies.
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Updated
Oct 24, 2024 - HTML
OptimizeRasters is a set of tools for converting raster data to optimized Tiled TIF or MRF files, moving data to cloud storage, and creating Raster Proxies.
📡 A template for deploying localtileserver on Heroku
🪐 Jupyter notebook demo for localtileserver
MDCS is an acronym for Mosaic Dataset Configuration Script and is the entry point to a collection of Python classes/libraries that could be consumed by a Python client application to complete a given workflow for creating a mosaic dataset, populating it with data, and setting all required/desired parameters.
Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.
Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method
Current branding for Minecraft@Home including project and social media specific assets
Advanced Techniques for Ecological Niche Modeling Made Easy
Web AppBuilder widgets for Image Services (WABIS)
Prediction of vegetation coverage maps from High Density Lidar data, in a weakly supervised deep learning setting.
python Clustering of Lines And RAsters
Use Sentinel satellite data, to...
Python code to extract mean values of a rasters datasets considering limits of shapefiles.
8-Bit Snail, a demo for Vector-06c
Compact Cache V2 is used by ArcGIS to store raster tiles. The bundle file structure is very simple and optimized for quick access, resulting in improved performance over alternative formats.
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