Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China
Mapping crop distribution with remote sensing data is of great importance for agricultural production, food security and agricultural sustainability. Winter rape is an important oil crop, which plays an important role in the cooking oil market of China. The Jianghan Plain and Dongting Lake Plain (JP...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2019-10-01
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| Series: | Journal of Integrative Agriculture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311919625773 |
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| author | Jian-bin TAO Wen-bin LIU Wen-xia TAN Xiang-bing KONG Meng XU |
| author_facet | Jian-bin TAO Wen-bin LIU Wen-xia TAN Xiang-bing KONG Meng XU |
| author_sort | Jian-bin TAO |
| collection | DOAJ |
| description | Mapping crop distribution with remote sensing data is of great importance for agricultural production, food security and agricultural sustainability. Winter rape is an important oil crop, which plays an important role in the cooking oil market of China. The Jianghan Plain and Dongting Lake Plain (JPDLP) are major agricultural production areas in China. Essential changes in winter rape distribution have taken place in this area during the 21st century. However, the pattern of these changes remains unknown. In this study, the spatial and temporal dynamics of winter rape from 2000 to 2017 on the JPDLP were analyzed. An artificial neural network (ANN)-based classification method was proposed to map fractional winter rape distribution by fusing moderate resolution imaging spectrometer (MODIS) data and high-resolution imagery. The results are as follows: (1) The total winter rape acreages on the JPDLP dropped significantly, especially on the Jianghan Plain with a decline of about 45% during 2000 and 2017. (2) The winter rape abundance keeps changing with about 20–30% croplands changing their abundance drastically in every two consecutive observation years. (3) The winter rape has obvious regional differentiation for the trend of its change at the county level, and the decreasing trend was observed more strongly in the traditionally dominant agricultural counties. |
| format | Article |
| id | doaj-art-be28bc87df4345e29e9cc4d76d9d69c8 |
| institution | Matheson Library |
| issn | 2095-3119 |
| language | English |
| publishDate | 2019-10-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Journal of Integrative Agriculture |
| spelling | doaj-art-be28bc87df4345e29e9cc4d76d9d69c82025-08-02T18:13:55ZengKeAi Communications Co., Ltd.Journal of Integrative Agriculture2095-31192019-10-01181023932407Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, ChinaJian-bin TAO0Wen-bin LIU1Wen-xia TAN2Xiang-bing KONG3Meng XU4Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R.ChinaKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R.ChinaKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R.China; Correspondence TAN Wen-xiaKey Laboratory of the Loess Plateau Soil Erosion and Water Loss Process and Control, Ministry of Water Resources/Yellow River Institute of Hydraulic Research, Zhengzhou 450003, P.R.ChinaKey Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, P.R.ChinaMapping crop distribution with remote sensing data is of great importance for agricultural production, food security and agricultural sustainability. Winter rape is an important oil crop, which plays an important role in the cooking oil market of China. The Jianghan Plain and Dongting Lake Plain (JPDLP) are major agricultural production areas in China. Essential changes in winter rape distribution have taken place in this area during the 21st century. However, the pattern of these changes remains unknown. In this study, the spatial and temporal dynamics of winter rape from 2000 to 2017 on the JPDLP were analyzed. An artificial neural network (ANN)-based classification method was proposed to map fractional winter rape distribution by fusing moderate resolution imaging spectrometer (MODIS) data and high-resolution imagery. The results are as follows: (1) The total winter rape acreages on the JPDLP dropped significantly, especially on the Jianghan Plain with a decline of about 45% during 2000 and 2017. (2) The winter rape abundance keeps changing with about 20–30% croplands changing their abundance drastically in every two consecutive observation years. (3) The winter rape has obvious regional differentiation for the trend of its change at the county level, and the decreasing trend was observed more strongly in the traditionally dominant agricultural counties.http://www.sciencedirect.com/science/article/pii/S2095311919625773winter rapespatio-temporal dynamicstime-series MODIS dataartificial neural network |
| spellingShingle | Jian-bin TAO Wen-bin LIU Wen-xia TAN Xiang-bing KONG Meng XU Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China Journal of Integrative Agriculture winter rape spatio-temporal dynamics time-series MODIS data artificial neural network |
| title | Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China |
| title_full | Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China |
| title_fullStr | Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China |
| title_full_unstemmed | Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China |
| title_short | Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China |
| title_sort | fusing multi source data to map spatio temporal dynamics of winter rape on the jianghan plain and dongting lake plain china |
| topic | winter rape spatio-temporal dynamics time-series MODIS data artificial neural network |
| url | http://www.sciencedirect.com/science/article/pii/S2095311919625773 |
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