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
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, b...
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MDPI AG
2025-05-01
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| Series: | Agriculture |
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| Online Access: | https://www.mdpi.com/2077-0472/15/9/1004 |
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| author | Yaohui Zhu Qingzhen Zhu Yuanyuan Gao Liyuan Zhang Aichen Wang Yongyun Zhu Chunshan Wang Bo Liu Fa Zhao Peiying Li Xinhua Wei Qi Song |
| author_facet | Yaohui Zhu Qingzhen Zhu Yuanyuan Gao Liyuan Zhang Aichen Wang Yongyun Zhu Chunshan Wang Bo Liu Fa Zhao Peiying Li Xinhua Wei Qi Song |
| author_sort | Yaohui Zhu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a6b1a529f8d64752b03b2c4eab85ab92 |
| institution | DOAJ |
| issn | 2077-0472 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agriculture |
| spelling | doaj-art-a6b1a529f8d64752b03b2c4eab85ab922025-08-20T02:58:46ZengMDPI AGAgriculture2077-04722025-05-01159100410.3390/agriculture15091004Identification of Interannual Variation Frequency of Cropland Cropping Intensity Based on Remote Sensing Spatiotemporal Fusion and Crop Phenological Rhythm: A Case Study of Zhenjiang, JiangsuYaohui Zhu0Qingzhen Zhu1Yuanyuan Gao2Liyuan Zhang3Aichen Wang4Yongyun Zhu5Chunshan Wang6Bo Liu7Fa Zhao8Peiying Li9Xinhua Wei10Qi Song11School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Information Science and Technology, Hebei Agricultural University, Baoding 071001, ChinaSchool of Information Science and Technology, Hebei Agricultural University, Baoding 071001, ChinaSchool of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, ChinaThe 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.https://www.mdpi.com/2077-0472/15/9/1004croplandcropping intensityremote sensingphenology rhythmsfood security |
| spellingShingle | Yaohui Zhu Qingzhen Zhu Yuanyuan Gao Liyuan Zhang Aichen Wang Yongyun Zhu Chunshan Wang Bo Liu Fa Zhao Peiying Li Xinhua Wei Qi Song 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 Agriculture cropland cropping intensity remote sensing phenology rhythms food security |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | cropland cropping intensity remote sensing phenology rhythms food security |
| url | https://www.mdpi.com/2077-0472/15/9/1004 |
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