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Remote Sens. 2016, 8(8), 641; doi:10.3390/rs8080641

Wavelet Based Analysis of TanDEM-X and LiDAR DEMs across a Tropical Vegetation Heterogeneity Gradient Driven by Fire Disturbance in Indonesia

1
School of GeoSciences, University of Edinburgh, Edinburgh EH8 9YL, UK
2
Department of Environmental Sciences, Wageningen University, Wageningen 6708 PB, The Netherlands
*
Author to whom correspondence should be addressed.
Academic Editors: Ioannis Gitas, Clement Atzberger and Prasad S. Thenkabail
Received: 25 May 2016 / Revised: 27 July 2016 / Accepted: 1 August 2016 / Published: 5 August 2016
View Full-Text   |   Download PDF [6074 KB, uploaded 10 August 2016]   |  

Abstract

Three-dimensional information provided by TanDEM-X interferometric phase and airborne Light Detection and Ranging (LiDAR) Digital Elevation Models (DEMs) were used to detect differences in vegetation heterogeneity through a disturbance gradient in Indonesia. The range of vegetation types developed as a consequence of fires during the 1997–1998 El Niño. Two-point statistic (wavelet variance and co-variance) was used to assess the dominant spatial frequencies associated with either topographic features or canopy structure. DEMs wavelet spectra were found to be sensitive to canopy structure at short scales (up to 8 m) but increasingly influenced by topographic structures at longer scales. Analysis also indicates that, at short scale, canopy texture is driven by the distribution of heights. Thematic class separation using the Jeffries–Matusita distance (JM) was greater when using the full wavelet signature (LiDAR: 1.29 ≤ JM ≤ 1.39; TanDEM-X: 1.18 ≤ JM ≤ 1.39) compared to using each decomposition scale individually (LiDAR: 0.1 ≤ JM ≤ 1.26; TanDEM-X: 0.1 ≤ JM ≤ 1.1). In some cases, separability with TanDEM-X was similar to the higher resolution LiDAR. The study highlights the potential of 3D information from TanDEM-X and LiDAR DEMs to explore vegetation disturbance history when analyzed using two-point statistics. View Full-Text
Keywords: tropical forest; interferometric synthetic aperture radar; TanDEM-X; LiDAR; forest structure; fire; El Niño Southern Oscillation tropical forest; interferometric synthetic aperture radar; TanDEM-X; LiDAR; forest structure; fire; El Niño Southern Oscillation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

De Grandi, E.C.; Mitchard, E.; Hoekman, D. Wavelet Based Analysis of TanDEM-X and LiDAR DEMs across a Tropical Vegetation Heterogeneity Gradient Driven by Fire Disturbance in Indonesia. Remote Sens. 2016, 8, 641.

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