[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

[IEEE JSTARS 2026] Official Implementation of Mamba-FCS: Joint Spatio-Frequency Feature Fusion, Change-Guided Attention, and SeK Inspired Loss for Enhanced Semantic Change Detection in Remote Sensing

Google Earth Engine code for forest cover change mapping based on the LandTrendr algorithm

Examples and tutorials for accessing LCMS data. LCMS is produced by RedCastle Resources and the US Forest Service via an enterprise agreement with Google.

As an Ecological Data Analyst at the UK Data for Wildlife Conservation (UKDWC), the goal is to report long-term changes in Marsh tit habitat using UKCEH land class data. Key components address spatial distribution, regional trends and land class interactions. Findings highlight critical loss areas, causes and the impact on current populations.

Google Earth Engine code for estimating greenhouse gas emissions from land cover change

Land cover classification and change detection in Kozani (2000–2018) using Google Earth Engine and QGIS.

SRS submission package for frozen AlphaEarth embeddings in bounded LULC change screening and allocation diagnostics

Markov-CA model forecasting urban land-cover change in the San Antonio watershed, validated at Figure of Merit 0.85