A 250 m annual alpine grassland AGB dataset over the Qinghai–Tibet Plateau (2000–2019) in China based on in situ measurements, UAV photos, and MODIS data
Abstract 2) was successfully upscaled to the MODIS pixel scale (62 500 m2) based on the random forest and stepwise upscaling methods. Compared with previous studies, the scale matching of independent and dependent variables was achieved, effectively reducing the impact of spatial-scale mismatch. The results showed that the correlation between the AGB values estimated by UAV and MODIS vegetation indices was higher than that between field-measured AGB and MODIS vegetation indices at the MODIS pixel scale. The multi-year validation results showed that the constructed MODIS pixel-scale AGB estimation model had good robustness, with an average R 2 - 2. Our dataset provides an important input parameter for a comprehensive understanding of the role of the QTP under global climate change. The dataset is available from the National Tibetan Plateau/Third Pole Environment Data Center (10.11888/Terre.tpdc.272587; H. Zhang et al., 2022).
- 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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A 250 m annual alpine grassland AGB dataset over the Qinghai–Tibet Plateau (2000–2019) in China based on in situ measurements, UAV photos, and MODIS data ; volume:15 ; number:2 ; year:2023 ; pages:821-846 ; extent:26
Earth system science data ; 15, Heft 2 (2023), 821-846 (gesamt 26)
- Urheber
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Zhang, Huifang
Tang, Zhonggang
Wang, Binyao
Kan, Hongcheng
Sun, Yi
Qin, Yu
Meng, Baoping
Li, Meng
Chen, Jianjun
Lv, Yanyan
Zhang, Jianguo
Niu, Shuli
Yi, Shuhua
- DOI
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10.5194/essd-15-821-2023
- URN
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urn:nbn:de:101:1-2023033007051314070127
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:45 MESZ
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Beteiligte
- Zhang, Huifang
- Tang, Zhonggang
- Wang, Binyao
- Kan, Hongcheng
- Sun, Yi
- Qin, Yu
- Meng, Baoping
- Li, Meng
- Chen, Jianjun
- Lv, Yanyan
- Zhang, Jianguo
- Niu, Shuli
- Yi, Shuhua
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