The use of remote sensing and GIS in water management took a new turn as these techniques have been utilized in new approaches of assessment, management and monitoring of water harvesting interventions. This study focuses on the monitoring of Mankat Alwithar dam in the Mafraq Governorate by using latest Sentinel-2 multi-spectral imagery. Three images of the area from different years (2015 to 2017) were downloaded and an analysis of the NDWI and NDVI was made for the dam and the surrounding area, in order to assess which index could be more suitable. The study showed that the vegetation cover around the dam, monitored through NDVI, was scarce, while the water surface extension was clearly identifiable through NDWI.
Rainwater harvesting monitoring through Remote Sensing in Jordan / Kamar Khazal, Beatrice Laurita, Giulio Castelli, Elena Bresci. - ELETTRONICO. - (2017), pp. 547-550. (Intervento presentato al convegno 11th International AIIA Conference: July 5-8, 2017 Bari – Italy: “Biosystems Engineering addressing the human challenges of the 21st century” tenutosi a Bari, Italy).
Rainwater harvesting monitoring through Remote Sensing in Jordan
Kamar Khazal
;Beatrice Laurita;Giulio Castelli;Elena Bresci
2017
Abstract
The use of remote sensing and GIS in water management took a new turn as these techniques have been utilized in new approaches of assessment, management and monitoring of water harvesting interventions. This study focuses on the monitoring of Mankat Alwithar dam in the Mafraq Governorate by using latest Sentinel-2 multi-spectral imagery. Three images of the area from different years (2015 to 2017) were downloaded and an analysis of the NDWI and NDVI was made for the dam and the surrounding area, in order to assess which index could be more suitable. The study showed that the vegetation cover around the dam, monitored through NDVI, was scarce, while the water surface extension was clearly identifiable through NDWI.
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