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Satellite-Based Evidences to Improve Cropland Productivity on the High-Standard Farmland Project Regions in Henan Province, China

文献类型：期刊论文

作者Yan, Huimin1,2; Du, Wenpeng1,2; Zhou, Ying3; Luo, Liang4; Niu, Zhong'en5
刊名REMOTE SENSING
出版日期2022-04-01
卷号14期号:7页码:20
关键词high-standard farmland cropland productivity disaster resistance ability homogeneous yield degree
DOI10.3390/rs14071724
通讯作者Yan, Huimin(yanhm@igsnrr.ac.cn)
英文摘要Under the pressure of limited arable land and increasing demand for food, improving the quality of existing arable land has become a priority to ensure food security. The Chinese government gives great importance to improving cropland productivity by focusing on the construction of high-standard farmland (HSF). The government puts forward the goal of constructing 1.2 billion mu (100 mu approximate to 6.67 hectares) of HSF by 2030. Therefore, how to apply remote sensing to monitor the ability to increase and stabilize yields in HSF project regions has become an essential task for proving the efficiency of HSF construction. Based on HSF project distribution data, Moderate Resolution Imaging Spectroradiometer (MODIS) data and Landsat-8 Operational Land Imager (Landsat8-OLI) data, this study develops a method to monitor cropland productivity improvement by measuring cropland productivity level (CPL), disaster resistance ability (DRA) and homogeneous yield degree (HYD) in the HSF project region. Taking China's largest grain production province (Henan Province) as a case study area, research shows that a light use efficiency model that includes multiple cropping data can effectively detect changes in cropland productivity before and after HSF construction. Furthermore, integrated Landsat8-OLI and MODIS data can detect changes in DRA and HYD before and after HSF construction with higher temporal and spatial resolution. In 109 HSF project regions concentrated and distributed in contiguous regions in Henan Province, the average cropland productivity increased by 145 kg/mu; among the eight sample project regions, DRA was improved in seven sample project regions; and the HYD in all eight sample project regions was greatly improved (the degree of increase is more than 75%). This evidence from satellites proves that the Chinese HSF project has significantly improved the CPL, DRA and HYD of cropland, while this study also verifies the practicability of the three indices to monitor the efficiency of HSF construction.
WOS关键词GROSS PRIMARY PRODUCTION ; LIGHT USE EFFICIENCY ; BALANCE ; IMAGES ; YIELDS ; MODEL ; MODIS ; LAND
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28060300] ; National Natural Science Foundation of China[42130508] ; Establishment of National Ecological Environmental Accounting System[2110105]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000780547400001
出版者MDPI
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Establishment of National Ecological Environmental Accounting System
源URL[http://ir.igsnrr.ac.cn/handle/311030/174458]  
专题中国科学院地理科学与资源研究所
通讯作者Yan, Huimin
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Environm Planning, Ctr Ecoenvironm Accounting, Beijing 100012, Peoples R China
4.Beijing SpaceWill Info Co Ltd, Beijing 100089, Peoples R China
5.Ludong Univ, Sch Resources & Environm Engn, Yantai 264025, Peoples R China
推荐引用方式
GB/T 7714		 Yan, Huimin,Du, Wenpeng,Zhou, Ying,et al. Satellite-Based Evidences to Improve Cropland Productivity on the High-Standard Farmland Project Regions in Henan Province, China[J]. REMOTE SENSING,2022,14(7):20.
APA Yan, Huimin,Du, Wenpeng,Zhou, Ying,Luo, Liang,&Niu, Zhong'en.(2022).Satellite-Based Evidences to Improve Cropland Productivity on the High-Standard Farmland Project Regions in Henan Province, China.REMOTE SENSING,14(7),20.
MLA Yan, Huimin,et al."Satellite-Based Evidences to Improve Cropland Productivity on the High-Standard Farmland Project Regions in Henan Province, China".REMOTE SENSING 14.7(2022):20.

入库方式： OAI收割

来源：地理科学与资源研究所

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