land-use

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

开源矢量地理数据获取与预处理工具(POI/AOI/行政区/路网/土地利用)

Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data

Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification

Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project

Satsense is a Python library for land use/cover classification using satellite imagery

Python for Land Use Suitability Analysis Tools

Global food systems optimization model balancing environmental and nutritional objectives

A tool for computing accessibility measures, supporting aggregation, variable limits, and intermodality.

Groundwater pumping estimation in Arizona using remote sensing datasets and machine learning

Global land-use and land-cover (LULC) data under historical, current, and future climatic conditions.

Public repository for the Jupyter book (original repository: https://gitlab.hrz.tu-chemnitz.de/ioer/fdz/jupyter-book-nfdi4biodiversity) with training material on how to connect to the IOER Monitor API and the GBIF Database API to query and process spatial data.

The URBANMOD-ZIPF, a global-scale urban land expansion model that preserves Zipf's Law of urban sizes.

Python Client Library for Land Cover Classification System Web Service

Offline version of the GCAM land allocation module

Preprocessing and harmonization scripts for IACS/GSA data.

Land Cover Classification System Web Service

This repository holds code for PSRC data science projects.

Biweekly mapping of land use and land cover using MODIS time series (MOD13Q1) and LSTM Neural Networks.

C-Module tracking carbon stock and related fluxes for the global forestry sector