Abstract
High-resolution satellite imagery permits verification of human rights land clearance violations across international borders as a result of unstable regimes or socio-economic upheaval. Without direct access to these areas to validate allegations of human rights abuse, the use of remote sensing tools, techniques, and data is extremely important. Humanitarian assessment can benefit from software-based solutions, involving radiometrically calibrated normalized difference vegetation index and temporal change imagery. We discuss the introduction of a matrix filter approach for change detection studies to help assist rapid building detection over large search areas against a bright background to evaluate internally displaced people in the 2005 Porta Farm Zimbabwe clearances. Future wide-scale near real-time space-based monitoring with a range of digital filters would be of great benefit to international human rights observers and human rights networks.
DOI
10.1117/1.JRS.11.035008
Publication Date
2017-08-04
Publication Title
Journal of Applied Remote Sensing
Volume
11
Issue
3
Publisher
SPIE-Intl Soc Optical Eng
ISSN
1931-3195
Embargo Period
2024-11-22
First Page
35008
Last Page
35008
Recommended Citation
Lavers, C., & Mason, T. (2017) 'High-resolution IKONOS satellite imagery for normalized difference vegetative index-related assessment applied to land clearance studies', Journal of Applied Remote Sensing, 11(3), pp. 35008-35008. SPIE-Intl Soc Optical Eng: Available at: https://doi.org/10.1117/1.JRS.11.035008
