Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020
Abstract > km 2 m long-term LAke Water Secchi depth (SD) dataset (LAWSD30) of China (1985–2020) was first developed using Landsat series imagery and a robust water-color parameter-based SD model. The LAWSD30 dataset exhibited a good performance compared to concurrent in situ SD datasets, with an R 2 m. Then, based on our LAWSD30 dataset, long-term spatiotemporal variations in SD for lakes > km 2 N = ≤ km 2 > km 2 ≤ km 2 > km 2, this proportion was the highest in MXR (about 23.0 %), and the lowest in the Northeast Mountain Plain Region (NER) (16.1 %). The LAWSD30 dataset and the spatiotemporal patterns of lake water clarity in our research can provide effective guidance for the protection and management of lake environment in China.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Long-term water clarity patterns of lakes across China using Landsat series imagery from 1985 to 2020 ; volume:26 ; number:13 ; year:2022 ; pages:3517-3536 ; extent:20
Hydrology and earth system sciences ; 26, Heft 13 (2022), 3517-3536 (gesamt 20)
- Urheber
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Chen, Xidong
Liu, Liangyun
Zhang, Xiao
Li, Junsheng
Wang, Shenglei
Gao, Yuan
Mi, Jun
- DOI
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10.5194/hess-26-3517-2022
- URN
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urn:nbn:de:101:1-2022071405251113579805
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:31 MESZ
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Beteiligte
- Chen, Xidong
- Liu, Liangyun
- Zhang, Xiao
- Li, Junsheng
- Wang, Shenglei
- Gao, Yuan
- Mi, Jun
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