Knowledge Resource Center for Ecological Environment in Arid Area
| Multi-Temporal Crop Classification Using a Decision Tree in a Southern Ontario Agricultural Region | |
| Melnychuk;Amie | |
| 出版年 | 2012 |
| 英文摘要 | Identifying landuse management practices is important for detecting landuse change and impacts on the surrounding landscape. The Ontario Ministry of Agriculture and Rural A airs has established a database product called the Agricultural Resource Inventory (AgRI), which is used for the storage and analysis of agricultural land management practices. This thesis explores the opportunity to populate the AgRI. A comparison of two supervised classi fications using optical satellite imagery with multiple single-date classifi cations and a subsequent multi-date, multi-sensor classi fication were used to gauge the best image timing for crop classi fication. In this study optical satellite images (Landsat-5 and SPOT-4/5) were inputted into a decision tree classifi er and Maximum Likelihood Classifi er (MLC) where the decision tree performed better than the MLC in overall and class accuracies. Classifi cation experienced complications from visual diff erences in vegetation. The multi-date classifi cation performed had an accuracy of 66.52%. The lack of imagery available at crop ripening stages reduced the accuracies greatly. |
| 英文关键词 | Multi-sensor Crop classification Decision tree Maximum likelihood classifier Multi-temporal Landsat-5 SPOT-5 SPOT-4 |
| 语种 | 英语 |
| URL | http://hdl.handle.net/10214/4037 |
| 资源类型 | 学位论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/246659 |
| 推荐引用方式 GB/T 7714 | Melnychuk;Amie. Multi-Temporal Crop Classification Using a Decision Tree in a Southern Ontario Agricultural Region[D],2012. |
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