remote sensing

The Contribution of CHRIS/PROBA Data for Tropical Peat Swamp Landscape Discrimination Purposes, 7-2009

presented at

2009 IEEE International Geoscience & Remote Sensing Symposium, IGARSS, Earth Observation –
Origins to Applications,
July 12-17, 2009 Cape Town, South Africa, TU1.O5.1

Chris-Proba Data analysed for the Sabangau catchment by
Veraldo Liesenberg 1.), H.-D. Viktor Boehm 2.), Richard Gloague 1.)
igarss_2009_chrisproba_fullpaper.pdf

1.) Freiberg University of Mining and Technology, Germany 
2.) Kalteng Consultants, Germany 

Abstract

In this study we examine the classification accuracy of CHRIS/PROBA data, acquired in the monsoon and dry season. The test site is a typical peat swamp landscape located in Central Kalimantan, Indonesia. We focus on eight specific land use/cover categories from a single view angle and from a multi-angular perspective. We show that (1) reflectance changes from the monsoon to the dry-season in the visible were small and slightly positive for the forestry classes, whereas slightly negative for grassland classes; (2) the reflectance increases accordingly to the successional stages for a given angle and were higher in the dry season; (2) reflectance values increase in the near-infrared with decreasing leaf area index (LAI); and (3) classification results using a multi-angular approach were statistically different at a 5% level of significance from a single view approach showing that anisotropy information can improve the differentiation between different Peatland landscape classes. Keywords: view angle effects, anisotropy, Peat Swamp forest, CHRIS/PROBA.
 

Analysis of remaining Peat Swamp Forest in Block C of MRP