Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese
Crop planting structure extraction in irrigated areas includes a range of dynamic parameters which require proper spatial and temporal resolution remotely sensed data. The paper seeks to extract crop planting structure by employing multi-temporal images from multi-sensors. Landsat enhanced thematic...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Chinese |
| Published: |
2009
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/40584 |
| _version_ | 1855539684859445248 |
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| author | Xueliang Cai Yuanlai Cui |
| author_browse | Xueliang Cai Yuanlai Cui |
| author_facet | Xueliang Cai Yuanlai Cui |
| author_sort | Xueliang Cai |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Crop planting structure extraction in irrigated areas includes a range of dynamic parameters which require proper spatial and temporal resolution remotely sensed data. The paper seeks to extract crop planting structure by employing multi-temporal images from multi-sensors. Landsat enhanced thematic mapper plus (ETM+) images and moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) monthly data were res-merged to produce a mega data tube, which was then classified using ISO cluster algorithm. Spectral signature of each class was extracted and identified using spectral matching technique taking crop coefficient curve as reference. In the way Zhanghe Irrigation system in southern China was classified into four classes: rice-rapeseed rotation, rice-wheat rotation, single summer crops, and double economic crops. Accuracy assessment suggests good agreement with statistical data and 91% classification accuracy when using IKONOS high resolution images as Ground Truth data. The application demonstrates the method a cost-efficient and robust approach to extract crop planting structure at irrigation system scale. |
| format | Journal Article |
| id | CGSpace40584 |
| institution | CGIAR Consortium |
| language | Chinese |
| publishDate | 2009 |
| publishDateRange | 2009 |
| publishDateSort | 2009 |
| record_format | dspace |
| spelling | CGSpace405842023-06-13T05:01:23Z Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese Xueliang Cai Yuanlai Cui remote sensing irrigated land crop management rice wheat Crop planting structure extraction in irrigated areas includes a range of dynamic parameters which require proper spatial and temporal resolution remotely sensed data. The paper seeks to extract crop planting structure by employing multi-temporal images from multi-sensors. Landsat enhanced thematic mapper plus (ETM+) images and moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) monthly data were res-merged to produce a mega data tube, which was then classified using ISO cluster algorithm. Spectral signature of each class was extracted and identified using spectral matching technique taking crop coefficient curve as reference. In the way Zhanghe Irrigation system in southern China was classified into four classes: rice-rapeseed rotation, rice-wheat rotation, single summer crops, and double economic crops. Accuracy assessment suggests good agreement with statistical data and 91% classification accuracy when using IKONOS high resolution images as Ground Truth data. The application demonstrates the method a cost-efficient and robust approach to extract crop planting structure at irrigation system scale. 2009 2014-06-13T14:47:58Z 2014-06-13T14:47:58Z Journal Article https://hdl.handle.net/10568/40584 zh Limited Access Cai, Xueliang; Cui, Y. 2009. Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese. Transactions of the Chinese Society of Agricultural Engineering, 25(8):124-130. |
| spellingShingle | remote sensing irrigated land crop management rice wheat Xueliang Cai Yuanlai Cui Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese |
| title | Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese |
| title_full | Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese |
| title_fullStr | Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese |
| title_full_unstemmed | Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese |
| title_short | Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese |
| title_sort | crop planting structure extraction in irrigated areas from multi sensor and multi temporal remote sensing data in chinese |
| topic | remote sensing irrigated land crop management rice wheat |
| url | https://hdl.handle.net/10568/40584 |
| work_keys_str_mv | AT xueliangcai cropplantingstructureextractioninirrigatedareasfrommultisensorandmultitemporalremotesensingdatainchinese AT yuanlaicui cropplantingstructureextractioninirrigatedareasfrommultisensorandmultitemporalremotesensingdatainchinese |