Predicting plant diversity in beach wetland downstream of Xiaolangdi reservoir with UAV and satellite multispectral images.

Zhu, Honglei; Huang, Yanwei; Li, Yingchen; Yu, Fei; Zhang, Guoyuan; Fan, Linlin; Zhou, Jiahui; Li, Zihan; Yuan, Meng

Zhu, Honglei; Huang, Yanwei; Li, Yingchen; Yu, Fei; Zhang, Guoyuan; Fan, Linlin; Zhou, Jiahui; Li, Zihan; Yuan, Meng.

Afiliación

Zhu H; Henan Normal University, Xinxiang, Henan 453007, China; Puyang Field Scientific Observation and Research Station for Yellow River Wetland Ecosystem, Henan Province, China. Electronic address: zhuhonglei@htu.edu.cn.
Huang Y; Henan Normal University, Xinxiang, Henan 453007, China.
Li Y; Henan Normal University, Xinxiang, Henan 453007, China; Puyang Field Scientific Observation and Research Station for Yellow River Wetland Ecosystem, Henan Province, China.
Yu F; Henan Normal University, Xinxiang, Henan 453007, China; Puyang Field Scientific Observation and Research Station for Yellow River Wetland Ecosystem, Henan Province, China.
Zhang G; Henan Normal University, Xinxiang, Henan 453007, China.
Fan L; Henan Normal University, Xinxiang, Henan 453007, China.
Zhou J; Henan Normal University, Xinxiang, Henan 453007, China.
Li Z; Henan Normal University, Xinxiang, Henan 453007, China.
Yuan M; Henan Normal University, Xinxiang, Henan 453007, China.

Sci Total Environ ; 819: 153059, 2022 May 01.

Article en En | MEDLINE | ID: mdl-35031373

Asunto(s)

Plantas/clasificación; Poaceae; Tamaricaceae; Humedales; Biodiversidad; China; Ríos

Palabras clave

Gaofen 1B; Plant diversity; Remote sensing; Reservoir; UAV; Wetland

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Plantas / Tamaricaceae / Humedales / Poaceae Tipo de estudio: Prognostic_studies / Risk_factors_studies País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article

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