Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality

Rooftop rainwater harvesting (RRWH) systems can provide low-cost decentralized water to urban and rural households that have no access to treated water. These systems are considered the key strategic adoption measures for communities affected by climate change. Roofing materials, roofing conditions,...

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Main Authors: Norman, Masayu, Shafri, Helmi, Mansor, Shattri, Yusuf, Badronnisa
Format: Article
Language:English
Published: Elsevier 2019
Online Access:http://psasir.upm.edu.my/id/eprint/82016/1/Review%20of%20remote%20sensing%20and%20geospatial%20technologies%20in%20estimating%20rooftop%20rainwater%20harvesting%20%28RRWH%29%20quality.pdf
http://psasir.upm.edu.my/id/eprint/82016/
https://www.sciencedirect.com/science/article/pii/S2095633919300474
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spelling my.upm.eprints.820162020-10-17T07:15:24Z http://psasir.upm.edu.my/id/eprint/82016/ Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality Norman, Masayu Shafri, Helmi Mansor, Shattri Yusuf, Badronnisa Rooftop rainwater harvesting (RRWH) systems can provide low-cost decentralized water to urban and rural households that have no access to treated water. These systems are considered the key strategic adoption measures for communities affected by climate change. Roofing materials, roofing conditions, roofing geometry, weather conditions, and land use/land cover (LULC) conditions can significantly affect the quality of RRWH. Therefore, the effects of these factors on RRWH quality must be analyzed carefully. Remote sensing and Geographical Information System (GIS) have been widely used in urban environmental analysis. However, these technologies have never been used to analyze, map, and model the effect of various factors on RRWH quality. This review determines the research gaps in the use of geospatial technologies in estimating RRWH quality and simulate the implications of roofing materials and roofing surface conditions towards the urban environment. An approach for the integrated use of remote sensing and GIS to assess the quality of RRWH is also proposed. Elsevier 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82016/1/Review%20of%20remote%20sensing%20and%20geospatial%20technologies%20in%20estimating%20rooftop%20rainwater%20harvesting%20%28RRWH%29%20quality.pdf Norman, Masayu and Shafri, Helmi and Mansor, Shattri and Yusuf, Badronnisa (2019) Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality. International Soil and Water Conservation Research, 7 (3). pp. 266-274. ISSN 2589-059X; 2095-6339 https://www.sciencedirect.com/science/article/pii/S2095633919300474 10.1016/j.iswcr.2019.05.002
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Rooftop rainwater harvesting (RRWH) systems can provide low-cost decentralized water to urban and rural households that have no access to treated water. These systems are considered the key strategic adoption measures for communities affected by climate change. Roofing materials, roofing conditions, roofing geometry, weather conditions, and land use/land cover (LULC) conditions can significantly affect the quality of RRWH. Therefore, the effects of these factors on RRWH quality must be analyzed carefully. Remote sensing and Geographical Information System (GIS) have been widely used in urban environmental analysis. However, these technologies have never been used to analyze, map, and model the effect of various factors on RRWH quality. This review determines the research gaps in the use of geospatial technologies in estimating RRWH quality and simulate the implications of roofing materials and roofing surface conditions towards the urban environment. An approach for the integrated use of remote sensing and GIS to assess the quality of RRWH is also proposed.
format Article
author Norman, Masayu
Shafri, Helmi
Mansor, Shattri
Yusuf, Badronnisa
spellingShingle Norman, Masayu
Shafri, Helmi
Mansor, Shattri
Yusuf, Badronnisa
Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality
author_facet Norman, Masayu
Shafri, Helmi
Mansor, Shattri
Yusuf, Badronnisa
author_sort Norman, Masayu
title Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality
title_short Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality
title_full Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality
title_fullStr Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality
title_full_unstemmed Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality
title_sort review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (rrwh) quality
publisher Elsevier
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/82016/1/Review%20of%20remote%20sensing%20and%20geospatial%20technologies%20in%20estimating%20rooftop%20rainwater%20harvesting%20%28RRWH%29%20quality.pdf
http://psasir.upm.edu.my/id/eprint/82016/
https://www.sciencedirect.com/science/article/pii/S2095633919300474
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score 13.19449