High-resolution satellite imagery permits verification of land clearance violations across borders due to unstable regimes or socio-economic upheaval. Without access to such areas to validate allegations remote sensing tools and techniques use are very important. Imagery-based assessment can quantify radiometrically calibrated normalised difference vegetation index (NDVI) and temporal changes evaluating displacement in the 2005 Porta Farm Zimbabwe clearances. Future near real time space-based monitoring would benefit human rights observers and networks.
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.
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