Identification of Interannual Variation Frequency of Cropland Cropping Intensity Based on Remote Sensing Spatiotemporal Fusion and Crop Phenological Rhythm: A Case Study of Zhenjiang, Jiangsu

Yaohui Zhu, Qingzhen Zhu, Yuanyuan Gao, Liyuan Zhang, Aichen Wang, Yongyun Zhu, Chunshan Wang, Bo Liu, Fa Zhao, Peiying Li, Xinhua Wei and Qi Song ()
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Yaohui Zhu: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Qingzhen Zhu: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Yuanyuan Gao: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Liyuan Zhang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Aichen Wang: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Yongyun Zhu: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Chunshan Wang: School of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China
Bo Liu: School of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China
Fa Zhao: School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Peiying Li: College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Xinhua Wei: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China
Qi Song: School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China

Agriculture, 2025, vol. 15, issue 9, 1-21

Abstract: The scientific evaluation of cropland resource utilization efficiency is crucial for ensuring food security and promoting sustainable agricultural development. At present, the research on the utilization of cropland resources primarily focuses on the multiple cropping index and cropping intensity, but these data are insufficient to reveal long-term trends and potential future changes in crop production. To fill this knowledge gap, this study took Zhenjiang City, Jiangsu Province, as a case study and proposed a method to determine the distribution and spatiotemporal change frequency of single- and double-season cropping patterns using spatiotemporal fusion and crop phenological rhythm. By combining Sentinel-2 NDVI and MOD13Q1 satellite data, a dataset with 10 m resolution was developed to show the interannual distribution frequency of the three cropping patterns in the study area. The accuracy evaluation revealed that the interannual cropping intensity distribution frequency of the three cropping patterns exhibited good verification accuracy, with an average overall accuracy and Kappa coefficient of 81.53% and 0.68, respectively. This study provides essential support for government agencies to assess future food production potential and develop policies for improving cropland use efficiency.

Keywords: cropland; cropping intensity; remote sensing; phenology rhythms; food security (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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