Water quality monitoring and evaluation using remote sensing techniques in China: a systematic review
Introduction: The application of remote-sensing techniques for water quality assessment has become increasingly popular in China. However, existing reviews are often limited to qualitative description and are quite fragmented. Outcomes: We conducted a quantitative systematic review to display curren...
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Taylor & Francis Group
2019
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oai:doaj.org-article:62b63b5993a34e928254b47a37ed95172021-12-02T16:16:38ZWater quality monitoring and evaluation using remote sensing techniques in China: a systematic review2332-887810.1080/20964129.2019.1571443https://doaj.org/article/62b63b5993a34e928254b47a37ed95172019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2019.1571443https://doaj.org/toc/2332-8878Introduction: The application of remote-sensing techniques for water quality assessment has become increasingly popular in China. However, existing reviews are often limited to qualitative description and are quite fragmented. Outcomes: We conducted a quantitative systematic review to display current research status and identify the existing challenges and future directions. Our review revealed that the application of remote-sensing techniques in water quality research has expanded dramatically in China, but the spatial distribution is quite uneven. Second, the ground object spectrometer is the most widely applied data source. Water color indicators such as chlorophyll a and suspended solid are the most widely investigated in China. Third, semiempirical method is the most commonly used inversion method. Existing studies rarely considered the anthropogenic factors, which limited the model robustness and its application in human-dominated aquatic ecosystems. Discussion and Conclusion: We concluded that, in the past several decades, China has made notable progresses in monitoring and evaluation of water quality using the remote-sensing techniques (especially in inland lakes). We proposed that further improvements would be needed in terms of temporal and spatial coverage, indicator list, the incorporation of human–nature interactions, inversion accuracy, and model generalization.Xiaoyan WangWu YangTaylor & Francis Grouparticlechlorophyll acoupled human and natural systemsinversion algorithmsuspended solidwater quality indicatorswater resource managementEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 5, Iss 1, Pp 47-56 (2019) |
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DOAJ |
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DOAJ |
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EN |
| topic |
chlorophyll a coupled human and natural systems inversion algorithm suspended solid water quality indicators water resource management Ecology QH540-549.5 |
| spellingShingle |
chlorophyll a coupled human and natural systems inversion algorithm suspended solid water quality indicators water resource management Ecology QH540-549.5 Xiaoyan Wang Wu Yang Water quality monitoring and evaluation using remote sensing techniques in China: a systematic review |
| description |
Introduction: The application of remote-sensing techniques for water quality assessment has become increasingly popular in China. However, existing reviews are often limited to qualitative description and are quite fragmented. Outcomes: We conducted a quantitative systematic review to display current research status and identify the existing challenges and future directions. Our review revealed that the application of remote-sensing techniques in water quality research has expanded dramatically in China, but the spatial distribution is quite uneven. Second, the ground object spectrometer is the most widely applied data source. Water color indicators such as chlorophyll a and suspended solid are the most widely investigated in China. Third, semiempirical method is the most commonly used inversion method. Existing studies rarely considered the anthropogenic factors, which limited the model robustness and its application in human-dominated aquatic ecosystems. Discussion and Conclusion: We concluded that, in the past several decades, China has made notable progresses in monitoring and evaluation of water quality using the remote-sensing techniques (especially in inland lakes). We proposed that further improvements would be needed in terms of temporal and spatial coverage, indicator list, the incorporation of human–nature interactions, inversion accuracy, and model generalization. |
| format |
article |
| author |
Xiaoyan Wang Wu Yang |
| author_facet |
Xiaoyan Wang Wu Yang |
| author_sort |
Xiaoyan Wang |
| title |
Water quality monitoring and evaluation using remote sensing techniques in China: a systematic review |
| title_short |
Water quality monitoring and evaluation using remote sensing techniques in China: a systematic review |
| title_full |
Water quality monitoring and evaluation using remote sensing techniques in China: a systematic review |
| title_fullStr |
Water quality monitoring and evaluation using remote sensing techniques in China: a systematic review |
| title_full_unstemmed |
Water quality monitoring and evaluation using remote sensing techniques in China: a systematic review |
| title_sort |
water quality monitoring and evaluation using remote sensing techniques in china: a systematic review |
| publisher |
Taylor & Francis Group |
| publishDate |
2019 |
| url |
https://doaj.org/article/62b63b5993a34e928254b47a37ed9517 |
| work_keys_str_mv |
AT xiaoyanwang waterqualitymonitoringandevaluationusingremotesensingtechniquesinchinaasystematicreview AT wuyang waterqualitymonitoringandevaluationusingremotesensingtechniquesinchinaasystematicreview |
| _version_ |
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