期刊
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
卷 14, 期 -, 页码 2956-2970出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2021.3060691
关键词
Forestry; Estimation; Vegetation; Laser radar; Synthetic aperture radar; Satellites; Coherence; Forest canopy height; Mediterranean forest; Spain; synthetic aperture radar (SAR) interferometry; TanDEM-X (TDX)
类别
资金
- Spanish Ministry of Science, Innovation, and University
- EU EFDR funds [TEC2017-85244-C2-1-P]
- National Natural Science Foundation of China [41820104005, 41804004, 41904004]
- Project FORESTCHANGE - Spanish Ministry of Science, Innovation, and University [AGL2016-76769-C2-1-R]
The study evaluated the capacity of TDX data to assess canopy height in Mediterranean forests of Spain, with favorable results found under certain conditions. However, results may vary in areas characterized by specific terrain and tree species.
Canopy height is an essential feature in forest inventory, and for the assessment of biomass and carbon budgets. Spatially explicit maps of forest height over large areas can be derived from satellite synthetic aperture radar data. We aimed to evaluate the capacity of TanDEM-X (TDX) data to assess canopy height in Mediterranean forests of Spain, which are of relatively short height (typically < 20 m), diverse in species and structure, and adapted to summer drought. Interferogram coherence was retrieved from single-pol image pairs. Forest height estimation was carried out by previously fitting a sinc-type function, with two empirical parameters, to the data measured. Six types of forest were defined to assess the convenience of stratification for model implementation. The influence of terrain slope, forest type, and interferometric baseline on model performance was evaluated, and a strategy for large area mapping was proposed and tested. TDX-derived heights were compared to a contemporaneous LiDAR-derived canopy height model for assessment of quality. Results limited to slopes below 10 degrees provided the best results, reaching R-2 = 0.91 and root-mean-square error = 1.24 m in one of the study sites. However, in some areas the results were much worse, especially in regions characterized by rugged terrain with broadleaved species. This work demonstrates the feasibility of deriving a forest height map over the entire area of Spain from TDX data. Stratification per slope interval and selection of long interferometric baselines are recommended.
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