Global LULC Change Analysis 2001–2024 using MODIS Dataset in Google Earth Engine

and land cover (LULC) change analysis using the MODIS MCD12Q1 dataset from 2001 to 2024 in Google Earth Engine (GEE). Learn how to visualize dynamic land cover transitions, compute the area (km²) of each class per year, generate LULC time-series charts, and export data as GeoTIFF and CSV for further analysis.
This hands-on tutorial covers,
Importing and filtering the MODIS MCD12Q1 dataset, creating annual composites for global or regional LULC mapping, computing land cover area (km²) per class per year, exporting results to Google Drive in CSV & GeoTIFF formats, generating interactive time-series charts (2001–2024), & visualizing dynamic land cover changes across years
Whether you're a remote sensing researcher, GIS analyst, or environmental scientist, this video helps you understand long-term LULC dynamics with MODIS datasets in GEE — perfect for applications in climate studies, deforestation monitoring, urban growth, and ecosystem change assessments.
Useful link
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Code link:
https://code.earthengine.google.com/21126afc93595ea5a0dea56dfcdb718d
MCD12Q1.061 MODIS Land Cover Type Yearly Global 500m: https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD12Q1#bands
Subscribe to Terra Spatial for more advanced Earth Engine tutorials, flood modeling, land cover mapping, and hydrology-based GIS workflows.
Watch till the end to learn how to automate your entire LULC change detection workflow efficiently and export your results with just a few lines of code!
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Видео Global LULC Change Analysis 2001–2024 using MODIS Dataset in Google Earth Engine канала Terra Spatial