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Estimating Agricultural Cropping Intensity Using a New Temporal Mixture Analysis Method from Time Series MODIS

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成果类型:
期刊论文
作者:
Tao, Jianbin;Zhang, Xinyue;Liu, Yiqing;Jiang, Qiyue;Zhou, Yang
通讯作者:
Zhou, Y
作者机构:
[Tao, Jianbin; Zhou, Yang; Zhang, Xinyue; Jiang, Qiyue; Zhou, Y] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Sch Urban & Environm Sci, Wuhan 430079, Peoples R China.
[Liu, Yiqing] Beijing Normal Univ, Inst Disaster Risk Sci, Fac Geog Sci, Beijing 100875, Peoples R China.
通讯机构:
[Zhou, Y ] C
Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Sch Urban & Environm Sci, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
cropping intensity;temporal mixture analysis;endmember;unmixing;time series images
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2023
卷:
15
期:
19
页码:
4712-
基金类别:
This work was supported by the National Natural Science Foundation of China (Grant No. 41971371 and 32001368), the National Key Technologies Research and Development Program (Grant No. 2022YFB3903504) and the Fundamental Research Funds for the Central Universities (CCNU22JC022).
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
Agricultural cropping intensity plays an important role in evaluating the food security and the sustainable development of agriculture. The existing indicators measuring cropping intensity include cropping frequency and multiple cropping index. As a nominal measurement, cropping frequency classifies crop patterns into single-cropping and/or double-cropping and leads to information loss. Multiple cropping index is calculated on the basis of statistical data, ignoring the spatial heterogeneity within the administrative region. Neither of these indicators can meet the requirements of precision ag...

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