A data-driven high spatial resolution model of biomass accumulation and crop yield: Application to a fragmented desert-oasis agroecosystem

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成果类型：

期刊论文

作者：

Chen, Qiting;Jia, Li;Menenti, Massimo;Hu, Guangcheng;Wang, Kun;...

通讯作者：

Jia, L

作者机构：

[Hu, Guangcheng; Jia, Li; Yi, Zhiwei; Chen, Qiting; Menenti, Massimo] Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

[Menenti, Massimo] Delft Univ Technol, Delft, Netherlands.

[Wang, Kun] Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China.

[Zhou, Jie] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.

[Chen, Xiaojie; Peng, Fei; You, Quangang; Ma, Shaoxiu; Xue, Xian] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Desert & Desertificat, Drylands Salinizat Res Stn, Lanzhou 730000, Peoples R China.

通讯机构：

[Jia, L ] C

Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

语种：

英文

关键词：

Crop yield estimation;Multi-source remote sensing data;High resolution;Heterogeneous agroecosystem

期刊：

Ecological Modelling

ISSN：

0304-3800

年：

2023

卷：

475

页码：

110182

DOI：

10.1016/j.ecolmodel.2022.110182

基金类别：

This work is jointly supported by the National Key Research and Development Plan of China (Grant no. 2017YFE0119100 ), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant no. XDA19030203 ), the Natural Science Foundation of China (Grant no. 41805013 ), the Chinese Academy of Sciences President's International Fellowship Initiative (Grant no. 2020VTA0001 ), the MOST High Level Foreign Expert program (Grant no. G2022055010L ), and the European Union's Horizon 2020 research and innovation program (Grant no. 776848 ).

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本校为其他机构

院系归属：

城市与环境科学学院

摘要：

Information on crop yield is important for food security, in particular under the conditions of climate change and growing population worldwide. We developed a new fully distributed, high spatial resolution, model of biomass accumulation and crop yield applicable to a highly heterogeneous desert-oasis agroecosystem. The bulk of required input data is obtained by retrieving pixel-wise biogeophysical variables from a suite of very diverse satellite data. Both temperature and water stress conditions at field-scale are given full consideration, whi...

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A data-driven high spatial resolution model of biomass accumulation and crop yield: Application to a fragmented desert-oasis agroecosystem

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