• Geoinformers

Global Forest Canopy Height, 2019

The Global Land Analysis and Discovery (GLAD) laboratory in the Department of Geographical Sciences at the University of Maryland, USA has developed a 30 m layer of "Global Forest Canopy Height, 2019".

I found this data incredibly good even at the very zoomed in locations. kudos to the team.

Fig:1 Global Forest Canopy Height map. (all credits: GLAD)


This data can be accessed in GEE using -

'Image Collection id: users/potapovpeter/GEDI_V27'


According to its Google Earth Engine app 'A new, 30-m spatial resolution global forest canopy height map was developed through the integration of the Global Ecosystem Dynamics Investigation (GEDI) lidar forest structure measurements and Landsat analysis-ready data time-series (Landsat ARD). The GEDI RH95 (relative height at 95%) metric was used to calibrate the model. The Landsat multi-temporal metrics that represent the surface phenology serve as the independent variables. The “moving window” locally calibrated and applied regression tree ensemble model was implemented to ensure high quality of forest height prediction and global map consistency. The model was extrapolated in the boreal regions (beyond the GEDI data range, 52°N to 52°S) to create the global forest height prototype map.'


Data Download

Map data can be downloaded directly, within the GEDI data range provided in the geographic coordinates using the WGS84 reference system. Data format:  8-bit unsigned LZW-compressed GeoTiff. Pixel size is 0.00025 x 0.00025 degree.


Data download links are at the bottom of this link.

Fig: Data download link and part available for download


Dataset Reference

P. Potapov, X. Li, A. Hernandez-Serna, A. Tyukavina, M.C. Hansen, A. Kommareddy, A. Pickens, S. Turubanova, H. Tang, C.E. Silva, J. Armston, R. Dubayah, J. B. Blair, M. Hofton (2020) Mapping and monitoring global forest canopy height through integration of GEDI and Landsat data. In review

Geoinformers

#forest #canopyheight #LULC #GLAD #GoogleEarthEngine #GEDI #geoinformers #remoteSensing #Geoinformatics

Contact: geoinformers@gmail.com, New Delhi, India

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Geoinformatics and Remote Sensing