DocumentCode
484321
Title
Assessing the use of Coarse Resolution Imagery for Prioritizing Drought Prone/Severely Degraded Areas for Mitigation Policy Options in South Africa
Author
Petja, Brilliant M. ; van Zyl, Dawie ; Sibandze, Phila C. ; Moeletsi, Mokhele E. ; Mpandeli, Sylvester N. ; Motsepe, Matiga ; Mashego, Thabo
Author_Institution
Geoinformatics Div., Agric. Res. Council, Tshwane
Volume
3
fYear
2008
fDate
7-11 July 2008
Abstract
Drought is a recurrent climate process occurring with uneven temporal and spatial characteristics over a broad area and over an extended period of time. Assessing the severity of drought using satellite-derived information is becoming increasingly important in disaster risk management, monitoring degradation and climate variability. Drought does not affect only agricultural productivity and hydrological resources but also the natural vegetation. It may therefore accelerate degradation processes when associated with destructive human activities. Land degradation occurs mostly because of land management practices or human developments that are unsustainable over a period of time. All these processes become more hazardous if they continue unchecked. This study assesses the use of different satellite-derived vegetation indices for identifying drought prone and severely degraded areas in South Africa. These efforts will play a significant role in guiding policy on land recovery and mitigation opportunities. Results show the potential for using satellite imagery to prioritize areas that seek immediate mitigation. Different indices are experimented to produce the optimum output that suits the purpose of the study.
Keywords
agriculture; disasters; rain; remote sensing; risk management; vegetation; water resources; South Africa; agriculture production; climate variability; coarse resolution imagery; degradation monitoring; destructive human activity; disaster risk management; drought assessment; hydrological resource; land degradation; land management practice; land recovery; mitigation policy; natural vegetation; prioritizing drought prone area; rainfall; satellite image; spatial characteristics; temporal characteristics; Acceleration; Africa; Degradation; Humans; Image resolution; Monitoring; Productivity; Risk management; Spatial resolution; Vegetation mapping; Drought; degradation; mitigation; policy; satellite-derived;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779426
Filename
4779426
Link To Document