Share Email Print
cover

Proceedings Paper

High-spatial resolution multispectral and panchromatic satellite imagery for mapping perennial desert plants
Author(s): Saad A. Alsharrah; David A. Bruce; Rachid Bouabid; Sekhar Somenahalli; Paul A. Corcoran
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The use of remote sensing techniques to extract vegetation cover information for the assessment and monitoring of land degradation in arid environments has gained increased interest in recent years. However, such a task can be challenging, especially for medium-spatial resolution satellite sensors, due to soil background effects and the distribution and structure of perennial desert vegetation. In this study, we utilised Pleiades high-spatial resolution, multispectral (2m) and panchromatic (0.5m) imagery and focused on mapping small shrubs and low-lying trees using three classification techniques: 1) vegetation indices (VI) threshold analysis, 2) pre-built object-oriented image analysis (OBIA), and 3) a developed vegetation shadow model (VSM). We evaluated the success of each approach using a root of the sum of the squares (RSS) metric, which incorporated field data as control and three error metrics relating to commission, omission, and percent cover. Results showed that optimum VI performers returned good vegetation cover estimates at certain thresholds, but failed to accurately map the distribution of the desert plants. Using the pre-built IMAGINE Objective OBIA approach, we improved the vegetation distribution mapping accuracy, but this came at the cost of over classification, similar to results of lowering VI thresholds. We further introduced the VSM which takes into account shadow for further refining vegetation cover classification derived from VI. The results showed significant improvements in vegetation cover and distribution accuracy compared to the other techniques. We argue that the VSM approach using high-spatial resolution imagery provides a more accurate representation of desert landscape vegetation and should be considered in assessments of desertification.

Paper Details

Date Published: 20 October 2015
PDF: 12 pages
Proc. SPIE 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI, 96440Z (20 October 2015); doi: 10.1117/12.2194643
Show Author Affiliations
Saad A. Alsharrah, Univ. of South Australia (Australia)
David A. Bruce, Univ. of South Australia (Australia)
Rachid Bouabid, Ecole Nationale d'Agriculture de Meknès (Morocco)
Sekhar Somenahalli, Univ. of South Australia (Australia)
Paul A. Corcoran, Univ. of South Australia (Australia)


Published in SPIE Proceedings Vol. 9644:
Earth Resources and Environmental Remote Sensing/GIS Applications VI
Ulrich Michel; Karsten Schulz; Manfred Ehlers; Konstantinos G. Nikolakopoulos; Daniel Civco, Editor(s)

© SPIE. Terms of Use
Back to Top