Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain)

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...

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Bibliographic Details
Main Authors: Nemmaoui, Abderrahim, Aguilar Torres, Manuel Ángel, Aguilar Torres, Fernando José, Novelli, Antonio, García Lorca, Andrés Miguel
Format: info:eu-repo/semantics/article
Language:English
Published: MDPI 2020
Subjects:
Landsat 8
Sentinel-2
WorldView-2
time series
object-based classification
greenhouse mapping
crop types classification
Online Access:http://hdl.handle.net/10835/7499

Internet

http://hdl.handle.net/10835/7499

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