DSM and DTM generation from VHR satellite stereo imagery over plastic covered greenhouse areas
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URI: http://hdl.handle.net/10835/14779
DOI: https://doi.org/10.1016/j.compag.2019.104903
DOI: https://doi.org/10.1016/j.compag.2019.104903
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Nemmaoui, Abderrahim; Aguilar Torres, Fernando José; Aguilar Torres, Manuel Ángel; Qin, RongjunFecha
2019-07-19Resumen
Agriculture under Plastic Covered Greenhouses (PCG) has represented a step forward in the evolution from traditional to industrial farming. However, PCG-based agricultural model has been also criticized for its associated environmental impact such as plastic waste, visual impact, soil pollution, biodiversity degradation and local runoff alteration. In this sense, timely and effective PCG mapping is the only way to help policy-makers in the definition of plans dealing with the trade-off between farmers’ profit and environmental impact for the remaining inhabitants.
This work proposes a methodological pipeline for producing high added value 3D geospatial products (Digital Surface Models (DSM) and Digital Terrain Models (DTM)) from VHR satellite imagery over PCG areas. The 3D information layer provided through the devised approach could be very valuable as a complement to the traditional 2D spectral information offered by VHR satellite imagery to improve PCG mapping over large areas.
Th...
Palabra/s clave
Digital Elevation Model
Digital Surface Model
Greenhouse land cover
VHR satellite stereo imagery
Stereo image matching