Articles | Volume 15, issue 17
https://doi.org/10.5194/gmd-15-6919-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6919-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
13 Sep 2022
Model description paper |
| 13 Sep 2022
| 13 Sep 2022
Improved CASA model based on satellite remote sensing data: simulating net primary productivity of Qinghai Lake basin alpine grassland
Chengyong Wu
CORRESPONDING AUTHOR
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Academy of Plateau Science and Sustainability, Xining, 810008, China
Kelong Chen
MOE Key Laboratory of Tibetan Plateau Land Surface Processes and
Ecological Conservation/Qinghai Province Key Laboratory of Physical
Geography and Environmental Processes, Xining 810008, China
Academy of Plateau Science and Sustainability, Xining, 810008, China
Chongyi E
MOE Key Laboratory of Tibetan Plateau Land Surface Processes and
Ecological Conservation/Qinghai Province Key Laboratory of Physical
Geography and Environmental Processes, Xining 810008, China
Academy of Plateau Science and Sustainability, Xining, 810008, China
Xiaoni You
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Dongcai He
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Liangbai Hu
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Baokang Liu
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Runke Wang
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Yaya Shi
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Chengxiu Li
School of Resources and Environmental Engineering, Tianshui Normal
University, Tianshui 741001, China
Fumei Liu
MOE Key Laboratory of Tibetan Plateau Land Surface Processes and
Ecological Conservation/Qinghai Province Key Laboratory of Physical
Geography and Environmental Processes, Xining 810008, China
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Cited
10 citations as recorded by crossref.
- Quantitative analysis of the impact of climate change and oasification on changes in net primary productivity variation in mid-Tianshan Mountains from 2001 to 2020 G. Hou et al. 10.1016/j.ecolind.2023.110820
- Impact of Aerosols on NPP in Basins: Case Study of WRF−Solar in the Jinghe River Basin Y. Fu et al. 10.3390/rs15071908
- Spatiotemporal characteristics and influencing factors of net primary production from 2000 to 2021 in China C. Yang et al. 10.1007/s11356-023-28666-8
- Impact Assessment of the Ms7.0 Earthquake on Jiuzhaigou Valley from the Perspective of Vegetation Net Primary Productivity C. Wang et al. 10.3390/s22228875
- Net Primary Productivity Estimation Using a Modified MOD17A3 Model in the Three-River Headwaters Region W. Liu et al. 10.3390/agronomy13020431
- A Monthly High-Resolution Net Primary Productivity Dataset (30 m) of Qinghai Plateau From 1987 to 2021 F. Yang et al. 10.1109/JSTARS.2023.3312518
- Exploring carbon sequestration in broad-leaved Korean pine forests: Insights into photosynthetic and respiratory processes Z. Xu et al. 10.1016/j.scitotenv.2023.167421
- Natural Vegetation Succession Under Climate Change and the Combined Effects on Net Primary Productivity S. Zhang et al. 10.1029/2023EF003903
- Spatial-Temporal Pattern Analysis of Grassland Yield in Mongolian Plateau Based on Artificial Neural Network M. Li et al. 10.3390/rs15163968
- Grazing capacity determination in short-term and long-term scales using MODIS and Sentinel-2 data in the southern rangelands of Zagros, Iran F. Jafari et al. 10.1071/RJ23004
10 citations as recorded by crossref.
- Quantitative analysis of the impact of climate change and oasification on changes in net primary productivity variation in mid-Tianshan Mountains from 2001 to 2020 G. Hou et al. 10.1016/j.ecolind.2023.110820
- Impact of Aerosols on NPP in Basins: Case Study of WRF−Solar in the Jinghe River Basin Y. Fu et al. 10.3390/rs15071908
- Spatiotemporal characteristics and influencing factors of net primary production from 2000 to 2021 in China C. Yang et al. 10.1007/s11356-023-28666-8
- Impact Assessment of the Ms7.0 Earthquake on Jiuzhaigou Valley from the Perspective of Vegetation Net Primary Productivity C. Wang et al. 10.3390/s22228875
- Net Primary Productivity Estimation Using a Modified MOD17A3 Model in the Three-River Headwaters Region W. Liu et al. 10.3390/agronomy13020431
- A Monthly High-Resolution Net Primary Productivity Dataset (30 m) of Qinghai Plateau From 1987 to 2021 F. Yang et al. 10.1109/JSTARS.2023.3312518
- Exploring carbon sequestration in broad-leaved Korean pine forests: Insights into photosynthetic and respiratory processes Z. Xu et al. 10.1016/j.scitotenv.2023.167421
- Natural Vegetation Succession Under Climate Change and the Combined Effects on Net Primary Productivity S. Zhang et al. 10.1029/2023EF003903
- Spatial-Temporal Pattern Analysis of Grassland Yield in Mongolian Plateau Based on Artificial Neural Network M. Li et al. 10.3390/rs15163968
- Grazing capacity determination in short-term and long-term scales using MODIS and Sentinel-2 data in the southern rangelands of Zagros, Iran F. Jafari et al. 10.1071/RJ23004
Latest update: 01 Dec 2023
Short summary
The traditional Carnegie–Ames–Stanford Approach (CASA) model driven by multisource data such as meteorology, soil, and remote sensing (RS) has notable disadvantages. We drove the CASA using RS data and conducted a case study of the Qinghai Lake basin alpine grassland. The simulated result is similar to published and measured net primary productivity (NPP). It may provide a reference for simulating vegetation NPP to satisfy the requirements of accounting carbon stocks and other applications.
The traditional Carnegie–Ames–Stanford Approach (CASA) model driven by multisource data such as...
