Skip to content
#

landuse

Here are 40 public repositories matching this topic...

We provide a pixel level training dataset for landuse classification (four categories - Green, Water, Barren land and Built up Areas) using google earth engine for India. All associated scripts are also provided.

  • Updated Jul 16, 2020
  • Jupyter Notebook

Synthesize multi-scenario, multi-watershed outputs from process-based geospatial model WEPP (WEPPcloud) using this post-processing, interactive visualization, and analysis tool. A Shiny Web app implementation to assist in targeted management using WEPPcloud simulated outputs.

  • Updated Feb 24, 2022
  • R

Improve this page

Add a description, image, and links to the landuse topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the landuse topic, visit your repo's landing page and select "manage topics."

Learn more