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.
-
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.
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.
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.
Web AppBuilder widgets for Image Services (WABIS)
Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method
JavaScript Image Discovery Web Application. Use to search, discover, filter, and manipulate imagery.
Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.
A toolset for finding and downloading WorldPop (Global Project) products.
Advanced Techniques for Ecological Niche Modeling Made Easy
python Clustering of Lines And RAsters
🪐 Jupyter notebook demo for localtileserver
📡 A template for deploying localtileserver on Heroku
Current branding for Minecraft@Home including project and social media specific assets
Prediction of vegetation coverage maps from High Density Lidar data, in a weakly supervised deep learning setting.
Python code to extract mean values of a rasters datasets considering limits of shapefiles.
Use Sentinel satellite data, to...
8-Bit Snail, a demo for Vector-06c
Add a description, image, and links to the rasters topic page so that developers can more easily learn about it.
To associate your repository with the rasters topic, visit your repo's landing page and select "manage topics."