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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, Vol. 19, No. 4, pp. 195-206

Investigation of ICESat-2 data capabilities for forest height estimation over Russia

S.А. Bartalev 1, 2 , M.A. Bogodukhov 1, 2 , V.O. Zharko 1, 2 , V.M. Sidorenkov 3 
1 Space Research Institute RAS, Moscow, Russia
2 Center for Forest Ecology and Productivity RAS, Moscow, Russia
3 All-Russian Research Institute for Silviculture and Mechanization of Forestry, Pushkino, Moscow Region, Russia
Accepted: 02.08.2022
DOI: 10.21046/2070-7401-2022-19-4-195-206
The paper presents an analysis of ICESat-2 data capabilities for forest height estimation and assessment of its spatial distribution over Russia. A brief overview of available current and historic lidar satellite data products is carried out. Physical basis of ATLAS instrument operation as well as an approach to form ATL08 data product with information on vertical structure of vegetation are described. An approach for automated download and preprocessing of ATL08 product is implemented, including filtering of missing/corrupted data, conversion to vector format and delineation of borders of aggregated lidar footprints for which characteristics of vegetation height distribution are provided. All available ATL08 data over Russia for the period from 14.10.2018 till 13.05.2020 was processed to form a dataset of over 125M lidar measurements of vegetation vertical structure, including over 50M measurements of forest height. This study was performed at local and national spatial levels. Local-scale accuracy assessment of the ATL08 product (at the level of forest stands) included actualization of field survey data using models of forest growth, and satellite data based estimation of mean forest height and its uncertainty considering uncertainties of input lidar measurements and forest cover heterogeneity. Results of the local-scale accuracy assessment of ATL08 data are presented, showing agreement between ground based and satellite data based measurements of mean forest height at the level of R 2 = 0,67 and RMSE = 3,79 m. National level analysis included examples of potential use of the formed dataset to study height and productivity of Russian forests. Estimates of mean forest height spatial distribution over Russia, as well as distribution of mean height for different forest types, are presented.
Keywords: remote sensing, forest height, ICESat-2, ATL08
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