Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region?

Title data

Schumacher, Paul ; Mislimshoeva, Bunafsha ; Brenning, Alexander ; Zandler, Harald ; Brandt, Martin ; Samimi, Cyrus ; Koellner, Thomas:
Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region?
In: Remote Sensing. Vol. 8 (24 June 2016) Issue 7 . - 19 Seiten.
ISSN 2072-4292
DOI der Verlagsversion: https://doi.org/10.3390/rs8070540

	Format: PDF Name: remotesensing-08-00540-v2.pdf Version: Published Version Available under License Creative Commons BY 4.0: Attribution
	Download (10MB)

Project information

Project title:	Project's official title Project's id Open Access Publizieren No information

Abstract

Remote sensing-based woody biomass quantification in sparsely-vegetated areas is often limited when using only common broadband vegetation indices as input data for correlation with ground-based measured biomass information. Red edge indices and texture attributes are often suggested as a means to overcome this issue. However, clear recommendations on the suitability of specific proxies to provide accurate biomass information in semi-arid to arid environments are still lacking. This study contributes to the understanding of using multispectral high-resolution satellite data (RapidEye), specifically red edge and texture attributes, to estimate wood volume in semi-arid ecosystems characterized by scarce vegetation. LASSO (Least Absolute Shrinkage and Selection Operator) and random forest were used as predictive models relating in situ-measured aboveground standing wood volume to satellite data. Model performance was evaluated based on cross-validation bias, standard deviation and Root Mean Square Error (RMSE) at the logarithmic and non-logarithmic scales. Both models achieved rather limited performances in wood volume prediction. Nonetheless, model performance increased with red edge indices and texture attributes, which shows that they play an important role in semi-arid regions with sparse vegetation.

Further data

Item Type:	Article in a journal
Additional notes (visible to public):	BAYCEER136837
Keywords:	woody biomass; wood volume estimation; semi-arid; RapidEye; red edge; texture
DDC Subjects:	500 Science > 550 Earth sciences, geology
Institutions of the University:	Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Ecological Services Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Ecological Services > Professor Ecological Services - Univ.-Prof. Dr. Thomas Köllner Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Climatology > Professor Climatology - Univ.-Prof. Dr. Cyrus Samimi Research Institutions > Central research institutes > Bayreuth Center of Ecology and Environmental Research- BayCEER Faculties Faculties > Faculty of Biology, Chemistry and Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Climatology Research Institutions Research Institutions > Central research institutes
Language:	English
Originates at UBT:	Yes
Date Deposited:	15 Mar 2018 10:22
Last Modified:	22 Jun 2020 07:43
URI:	https://epub.uni-bayreuth.de/id/eprint/3617

Download Statistics

Download Statistics

Download Statistics

Downloads

Downloads per month over past year