Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data
The multiple cropping index of farmland is a significant characterization of land use intensity. Based on the NDVI data, this paper calculated the multiple cropping index of farmland in China using the S-G filtering method, and proposed an optimized regionalization scheme for the farmland use. The f...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/10/8/861 |
| _version_ | 1797523202146041856 |
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| author | Tingting Li Yanfei Wang Changquan Liu Shuangshuang Tu |
| author_facet | Tingting Li Yanfei Wang Changquan Liu Shuangshuang Tu |
| author_sort | Tingting Li |
| collection | DOAJ |
| description | The multiple cropping index of farmland is a significant characterization of land use intensity. Based on the NDVI data, this paper calculated the multiple cropping index of farmland in China using the S-G filtering method, and proposed an optimized regionalization scheme for the farmland use. The findings reveal that from 2000 to 2018, the multiple cropping index of farmland in China underwent the fluctuation of rising first, then falling and rising continuously, which was closely associated with the agricultural support policies enforced in China. Counties whose multiple cropping indexes decreased from 2009 to 2018 were mainly located in areas primarily producing grain, which exerted a greater influence on food security. The gap between the multiple cropping index and potential multiple cropping index of farmland is increasingly widening from north to south in China. Accordingly, four types of grain producing zones were delineated: key development zone, potential growth zone, appropriate development zone, and restricted development zone. Some suggestions, such as rotation, fallow, determination of yield by water and offsetting the quantity balance of farmland by increasing the multiple cropping index, are put forward based on different zones. |
| first_indexed | 2024-03-10T08:40:01Z |
| format | Article |
| id | doaj.art-6d6d4e6ead524c32a1f52f5ebba3080c |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T08:40:01Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-6d6d4e6ead524c32a1f52f5ebba3080c2023-11-22T08:21:34ZengMDPI AGLand2073-445X2021-08-0110886110.3390/land10080861Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI DataTingting Li0Yanfei Wang1Changquan Liu2Shuangshuang Tu3Rural Development Institute, Chinese Academy of Social Sciences, Beijing 100732, ChinaCollege of Land Science and Technology, China Agricultural University, Beijing 100193, ChinaRural Development Institute, Chinese Academy of Social Sciences, Beijing 100732, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, The Ministry of Education, Nanning 530001, ChinaThe multiple cropping index of farmland is a significant characterization of land use intensity. Based on the NDVI data, this paper calculated the multiple cropping index of farmland in China using the S-G filtering method, and proposed an optimized regionalization scheme for the farmland use. The findings reveal that from 2000 to 2018, the multiple cropping index of farmland in China underwent the fluctuation of rising first, then falling and rising continuously, which was closely associated with the agricultural support policies enforced in China. Counties whose multiple cropping indexes decreased from 2009 to 2018 were mainly located in areas primarily producing grain, which exerted a greater influence on food security. The gap between the multiple cropping index and potential multiple cropping index of farmland is increasingly widening from north to south in China. Accordingly, four types of grain producing zones were delineated: key development zone, potential growth zone, appropriate development zone, and restricted development zone. Some suggestions, such as rotation, fallow, determination of yield by water and offsetting the quantity balance of farmland by increasing the multiple cropping index, are put forward based on different zones.https://www.mdpi.com/2073-445X/10/8/861NDVIland use transitionmultiple cropping indexfarmlandregional optimization scheme |
| spellingShingle | Tingting Li Yanfei Wang Changquan Liu Shuangshuang Tu Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data Land NDVI land use transition multiple cropping index farmland regional optimization scheme |
| title | Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data |
| title_full | Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data |
| title_fullStr | Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data |
| title_full_unstemmed | Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data |
| title_short | Research on Identification of Multiple Cropping Index of Farmland and Regional Optimization Scheme in China Based on NDVI Data |
| title_sort | research on identification of multiple cropping index of farmland and regional optimization scheme in china based on ndvi data |
| topic | NDVI land use transition multiple cropping index farmland regional optimization scheme |
| url | https://www.mdpi.com/2073-445X/10/8/861 |
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