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Proceedings Paper

Tropical forest heterogeneity from TanDEM-X InSAR and lidar observations in Indonesia
Author(s): Elsa Carla De Grandi; Edward Mitchard
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Paper Abstract

Fires exacerbated during El Niño Southern Oscillation are a serious threat in Indonesia leading to the destruction and degradation of tropical forests and emissions of CO2 in the atmosphere. Forest structural changes which occurred due to the 1997-1998 El Niño Southern Oscillation in the Sungai Wain Protection Forest (East Kalimantan, Indonesia), a previously intact forest reserve have led to the development of a range of landcover from secondary forest to areas dominated by grassland. These structural differences can be appreciated over large areas by remote sensing instruments such as TanDEM-X and LiDAR that provide information that are sensitive to vegetation vertical and horizontal structure. One-point statistics of TanDEM-X coherence (mean and CV) and LiDAR CHM (mean, CV) and derived metrics such as vegetation volume and canopy cover were tested for the discrimination between 4 landcover classes. Jeffries-Matusita (JM) separability was high between forest classes (primary or secondary forest) and non-forest (grassland) while, primary and secondary forest were not separable. The study tests the potential and the importance of potential of TanDEM-X coherence and LiDAR observations to characterize structural heterogeneity based on one-point statistics in tropical forest but requires improved characterization using two-point statistical measures.

Paper Details

Date Published: 18 October 2016
PDF: 10 pages
Proc. SPIE 10003, SAR Image Analysis, Modeling, and Techniques XVI, 1000305 (18 October 2016); doi: 10.1117/12.2241796
Show Author Affiliations
Elsa Carla De Grandi, The Univ. of Edinburgh (United Kingdom)
Edward Mitchard, The Univ. of Edinburgh (United Kingdom)

Published in SPIE Proceedings Vol. 10003:
SAR Image Analysis, Modeling, and Techniques XVI
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca; Edward Mitchard, Editor(s)

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