Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM‐X supported by GEDI data

2022 | journal article; research paper. A publication with affiliation to the University of Göttingen.

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​Vegetation canopy height estimation in dynamic tropical landscapes with TanDEM‐X supported by GEDI data​
Schlund, M. ; Wenzel, A.; Camarretta, N. ; Stiegler, C.   & Erasmi, S. ​ (2022) 
Methods in Ecology and Evolution,.​ DOI: https://doi.org/10.1111/2041-210X.13933 

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Authors
Schlund, Michael ; Wenzel, Arne; Camarretta, Nicolò ; Stiegler, Christian ; Erasmi, Stefan 
Abstract
Vegetation canopy height is a relevant proxy for aboveground biomass, carbon stock, and biodiversity. Wall-to-wall information of canopy height with high spatial resolution and accuracy is not yet available on large scales. For the globally consistent TanDEM-X data, simplifications are necessary to estimate canopy height with semi-empirical models based on polarimetric synthetic aperture radar interferometry (PolInSAR). We trained the semi-empirical models with sampled GEDI data, because the assumptions behind the application of such simplifications are not always valid for TanDEM-X. General linear as well as sinc models and empirical parameterizations of these models were applied to estimate the canopy height in tropical landscapes of Sumatra, Indonesia. Airborne laser scanning (ALS) data were consistently used as an independent reference. The general simplified models were compared with the trained empirical versions to assess the potential improvement of the empirical parameterization of the models. The residuals of the different canopy height models were further evaluated in relation to land use and structural information of the vegetation. Our results indicated that the empirical parameters substantially improved the estimation from a root-mean-square-error (RMSE) of 10.3 m (55.8%) to 8.8 m (47.7%), when using the linear model. In contrast, the improvement of the sinc model with empirical parameters was not substantial compared to the general sinc model (7.4 m [40.4%] vs. 6.9 m [37.5%]). A consistent improvement was observed in the linear model, whereas the improvement of the sinc model was dependent on the land-use type. Structural attributes like the canopy height itself and vegetation cover had a significant effect on the accuracies, with higher and denser vegetation generally resulting in higher residuals. We demonstrate the potential of the combined exploitation of the TanDEM-X and GEDI missions for a wall-to-wall canopy height estimation in a tropical region. This study provides relevant findings for a consistent mapping of vegetation canopy height in tropical landscapes and on large scales with spaceborne laser and SAR data.
Issue Date
2022
Journal
Methods in Ecology and Evolution 
Project
SFB 990: Ökologische und sozioökonomische Funktionen tropischer Tieflandregenwald-Transformationssysteme (Sumatra, Indonesien) 
SFB 990 | A | A03: Untersuchung von Land-Atmosphäre Austauschprozesse in Landnutzungsänderungs-Systemen 
SFB 990 | B | B09: Oberirdische Biodiversitätsmuster und Prozesse in Regenwaldtransformations-Landschaften 
SFB 990 | Z | Z02: Central Scientific Support Unit 
SFB 990 | IKEBANA: Interferometrische Kartierung von Waldstrukturveränderungen als Basisinformation für nachhaltige Produktion und Handel von Agrarrohstoffen (IKEBANA, associated) 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Büsgen-Institut ; Abteilung Bioklimatologie ; Fakultät für Agrarwissenschaften ; Department für Nutzpflanzenwissenschaften ; Abteilung Funktionelle Agrobiodiversität 
ISSN
2041-210X; 2041-210X
Language
English
Subject(s)
sfb990_journalarticles

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