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).

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
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)

Creator
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
10.5194/essd-15-821-2023
URN
urn:nbn:de:101:1-2023033007051314070127
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 7:26 AM CEST

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Associated

  • 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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