Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain)
A workflow headed up to identify crops growing under plastic-covered greenhouses (PCG) and based on multi-temporal and multi-sensor satellite data is developed in this article. This workflow is made up of four steps: (i) data pre-processing, (ii) PCG segmentation, (iii) binary pre-classification bet...
| 主要な著者: | , , , , |
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| フォーマット: | info:eu-repo/semantics/article |
| 言語: | English |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | http://hdl.handle.net/10835/7499 |