Title | Mapping Shrub Abundance in Desert Grasslands Using Geometric-Optical Modeling and Multiangle Remote Sensing with CHRIS/Proba |
Publication Type | Journal Article |
Year of Publication | 2006 |
Authors | Chopping M., Su L., Laliberte AS, Rango A., Peters DC, Kollikkathara N. |
Journal | Remote Sensing of Environment |
Volume | 104 |
Pagination | 62-73 |
Date Published | August 2006 |
Accession Number | JRN00446 |
ARIS Log Number | 197265 |
Keywords | canopy reflectance, CHRIS, geometric-optical modeling, journal, journal article, mapping, modeling, multiangle remote sensing, PROBA, semi-arid environments |
Abstract | This work examines the application of a geometric-optical canopy reflectance model to provide measures of woody shrub abundance in desert grasslands at the landscape scale. The approach is through inversion of the non-linear simple geometric model (SGM) against 631 nm multi-angle reflectance data from the Compact High Resolution Imaging Spectrometer (CHRIS) flown on the European Space Agency's Project for On-Board Autonomy (Proba) satellite. Separation of background and upper canopy contributions was effected by a linear scaling of the parameters of the Walthall bidirectional reflectance distribution function model with the weights of a kernel-driven model. The relationship was calibrated against a small number of sample locations with highly contrasting background/upper canopy configurations, before application over an area of about 25 square kilometers. The results show that with some assumptions, the multi-angle remote sensing signal from CHRIS/Proba can be explained in terms of a combined soil-understory background response and woody shrub cover and exploited to map this important structural attribute of desert grasslands. |
URL | /files/bibliography/06-031.pdf |
DOI | 10.1016/j.rse.2006.04.022 |