Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time Series
Timely and accurate estimation of the sugarcane planting area is of vital importance to the country’s agricultural production and sugar development. In remote sensing crop mapping based on spectral similarity, there will be have a phenomenon of foreign matters with the same spectrum by ob...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9940277/ |
| _version_ | 1797988578294235136 |
|---|---|
| author | Shiqin Deng Maofang Gao Chao Ren Shilei Li Yongjian Liang |
| author_facet | Shiqin Deng Maofang Gao Chao Ren Shilei Li Yongjian Liang |
| author_sort | Shiqin Deng |
| collection | DOAJ |
| description | Timely and accurate estimation of the sugarcane planting area is of vital importance to the country’s agricultural production and sugar development. In remote sensing crop mapping based on spectral similarity, there will be have a phenomenon of foreign matters with the same spectrum by obtaining an accurate crop reference curve for crop identification, limiting mapping accuracy. In this study, we improved the spectral reconstruction method based on singular value decomposition (SR-SVD). A decision tree model was established based on the similarity of the sugarcane Normalized Difference Vegetation Index (NDVI) time series curve and the fluctuation range of NDVI in different growth periods. Using the Sentinel-2 (Level-2A) image data set to extract sugarcane planting area in two regions of Chongzuo City, Guangxi, China, the overall accuracy was higher than 96%, respectively. The results show that through the spectral similarity and the determination of the threshold fluctuation range, not only high-precision mapping of sugarcane can be achieved, but the problem of “same spectrum with different objects” can also be solved. Therefore, this method can provide accurate information on the sugarcane planting areas and technical support for monitoring the structure of sugarcane planting in the region. |
| first_indexed | 2024-04-11T08:05:05Z |
| format | Article |
| id | doaj.art-bb29897b9d994684bf32e0bfb372018c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T08:05:05Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bb29897b9d994684bf32e0bfb372018c2022-12-22T04:35:34ZengIEEEIEEE Access2169-35362022-01-011011736211737310.1109/ACCESS.2022.32198419940277Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time SeriesShiqin Deng0Maofang Gao1https://orcid.org/0000-0002-9674-6020Chao Ren2https://orcid.org/0000-0002-2591-6619Shilei Li3Yongjian Liang4Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, ChinaKey Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, ChinaGuangxi Key Laboratory of Spatial Information and Surveying and Mapping, School of Surveying, Mapping and Geographic Information, Guilin University of Technology, Guilin, ChinaKey Laboratory of Agricultural Remote Sensing, Ministry of Agriculture and Rural Affairs, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, ChinaGuangxi South Subtropical Agricultural Science Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, ChinaTimely and accurate estimation of the sugarcane planting area is of vital importance to the country’s agricultural production and sugar development. In remote sensing crop mapping based on spectral similarity, there will be have a phenomenon of foreign matters with the same spectrum by obtaining an accurate crop reference curve for crop identification, limiting mapping accuracy. In this study, we improved the spectral reconstruction method based on singular value decomposition (SR-SVD). A decision tree model was established based on the similarity of the sugarcane Normalized Difference Vegetation Index (NDVI) time series curve and the fluctuation range of NDVI in different growth periods. Using the Sentinel-2 (Level-2A) image data set to extract sugarcane planting area in two regions of Chongzuo City, Guangxi, China, the overall accuracy was higher than 96%, respectively. The results show that through the spectral similarity and the determination of the threshold fluctuation range, not only high-precision mapping of sugarcane can be achieved, but the problem of “same spectrum with different objects” can also be solved. Therefore, this method can provide accurate information on the sugarcane planting areas and technical support for monitoring the structure of sugarcane planting in the region.https://ieeexplore.ieee.org/document/9940277/Decision-treenormalized difference vegetation indexsingular value decompositionsugarcane |
| spellingShingle | Shiqin Deng Maofang Gao Chao Ren Shilei Li Yongjian Liang Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time Series IEEE Access Decision-tree normalized difference vegetation index singular value decomposition sugarcane |
| title | Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time Series |
| title_full | Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time Series |
| title_fullStr | Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time Series |
| title_full_unstemmed | Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time Series |
| title_short | Extraction of Sugarcane Planting Area Based on Similarity of NDVI Time Series |
| title_sort | extraction of sugarcane planting area based on similarity of ndvi time series |
| topic | Decision-tree normalized difference vegetation index singular value decomposition sugarcane |
| url | https://ieeexplore.ieee.org/document/9940277/ |
| work_keys_str_mv | AT shiqindeng extractionofsugarcaneplantingareabasedonsimilarityofndvitimeseries AT maofanggao extractionofsugarcaneplantingareabasedonsimilarityofndvitimeseries AT chaoren extractionofsugarcaneplantingareabasedonsimilarityofndvitimeseries AT shileili extractionofsugarcaneplantingareabasedonsimilarityofndvitimeseries AT yongjianliang extractionofsugarcaneplantingareabasedonsimilarityofndvitimeseries |