Revealing Cropping Intensity Dynamics Using High-Resolution Imagery: A Case Study in Shaanxi Province, China

被引:1
|
作者
Liu, Yadong [1 ,2 ]
Li, Hongmei [1 ]
Zhu, Lin [3 ]
Chen, Bin [4 ]
Li, Meirong [1 ]
He, Huijuan [1 ]
Zhou, Hui [1 ]
Wang, Zhao [1 ]
Yu, Qiang [2 ]
机构
[1] Shaanxi Meteorol Serv Ctr Agr Remote Sensing & Eco, Xian 710016, Peoples R China
[2] Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Peoples R China
[3] Northwest A&F Univ, Coll Nat Resources & Environm, Yangling 712100, Peoples R China
[4] Northwest A&F Univ, Coll Soil & Water Conservat Sci & Engn, Yangling 712100, Peoples R China
基金
中国国家自然科学基金;
关键词
cropland use; multiple cropping; multi-source remote sensing; rainfed agriculture;
D O I
10.3390/rs16203832
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reliable and continuous information on cropping intensity is crucial for assessing cropland utilization and formulating policies regarding cropland protection and management. However, there is still a lack of high-resolution cropping intensity maps for recent years, particularly in fragmented agricultural regions. In this study, we combined Landsat-8 and Sentinel-2 imagery to generate cropping intensity maps from 2019 to 2023 at a 10 m resolution for Shaanxi Province, China. First, the satellite imagery was harmonized to construct 10-day composite enhanced vegetation index (EVI) time series. Then, the cropping intensity was determined by counting the number of valid EVI peaks within a year. Assessment based on 578 sample points showed a high level of accuracy, with overall accuracy and Kappa coefficient values exceeding 0.96 and 0.93, respectively. We further analyzed the spatiotemporal patterns of cropping intensity and generated a map of abandoned cropland in Shaanxi. The results indicated that cropland in Shaanxi Province was mainly utilized for single-cropping (52.9% of area), followed by double-cropping (35.2%), with non-cropping accounting for 11.9%. Cropping intensity tended to be lower in the north and higher in the south. Temporally, the average cropping intensity of Shaanxi increased from 1.1 to over 1.3 from 2019 to 2023. Despite this upward trend, large areas of cropland were abandoned in northern Shaanxi. These results demonstrate the potential of utilizing Landsat-8 and Sentinel-2 imagery to identify cropping intensity dynamics in fragmented agricultural regions and to guide more efficient cropland management.
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页数:18
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