Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/40329
Title: A random forest and superpixels approach to sharpen thermal infrared satellite imagery
Authors: Lillo-Saavedra, Mario
Garcia-Pedrero, Ángel
Rodriguez-Esparragón, Dionisio 
Gonzalo-Martin, Consuelo
UNESCO Clasification: 3325 Tecnología de las telecomunicaciones
Keywords: Land-surface temperature
Energy-balance
Model
Disaggregation
Algorithm
Issue Date: 2017
Journal: Proceedings of SPIE - The International Society for Optical Engineering 
Abstract: Thermal infrared (TIR) imagery is normally acquired at coarser pixel resolution than that of shortwave sensors on the same satellite platform. Often, TIR resolution is not suitable for monitoring crop conditions of individual fields or the impacts of land cover changes that are at significantly finer spatial scales. Consequently, thermal sharpening techniques have been developed to sharpen TIR imagery to shortwave band pixel resolutions. One of the most classic thermal sharpening technique is TsHARP. It uses a relationship between land surface temperature and normalized vegetation index (NDVI). However, there are several studies that prove that a single relationship between TIR and NDVI may only exist for a limited class of landscape. Our work hypothesis stated that it is possible to improve the spatial resolution of TIR imagery considering a relationship between vegetation and several soil spectral indexes and TIR as well the spatial context information. In this work, the potential of Superpixels (SP) combined with Regression Random Forest (RRF) is used to augmenting the spatial resolution of the Landsat 8 TIR (Band 10 and 11) imagery to their visible (VIS) spatial resolution. The SP allows to consider the contextual information over the land cover, and RF allows to integrate in a unique model the relationship between five spectral indices and TIR data. The results obtained by SP RRF approach shows the potential of this methodology, compared with classical TsHARP method.
URI: http://hdl.handle.net/10553/40329
ISBN: 9781510613065
ISSN: 0277-786X
DOI: 10.1117/12.2277940
Source: Proceedings of SPIE - The International Society for Optical Engineering[ISSN 0277-786X],v. 10421 (104210H)
Appears in Collections:Artículos

Show full item record
Recommend this item

Google ScholarTM

Check

Altmetric




SHARE



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.