Downscaling Landsat Land Surface Temperature over the urban area of Florence

被引:55
作者
Bonafoni, Stefania [1 ]
Anniballe, Roberta [2 ]
Gioli, Beniamino [3 ]
Toscano, Piero [3 ]
机构
[1] Univ Perugia, Dept Engn, Via G Duranti 93, I-06125 Perugia, Italy
[2] Sapienza Univ Rome, Dept Informat Engn Elect & Telecommun, Via Eudossiana 18, I-00184 Rome, Italy
[3] Inst Biometeorol IBIMET CNR, Via G Caproni 8, I-50145 Florence, Italy
关键词
Land surface temperature; urban area; airborne data; Landsat images; downscaling; HEAT-ISLAND; VEGETATION INDEX; ATMOSPHERIC CORRECTION; ENERGY FLUXES; IMAGERY; RESOLUTION; RETRIEVAL; CHINA; INDIANAPOLIS; FEATURES;
D O I
10.5721/EuJRS20164929
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
A new downscaling algorithm for land surface temperature ( LST) images retrieved from Landsat Thematic Mapper ( TM) was developed over the city of Florence and the results assessed against a high-resolution aerial image. The Landsat TM thermal band has a spatial resolution of 120 m, resampled at 30 m by the US Geological Survey ( USGS) agency, whilst the airborne ground spatial resolution was 1 m. Substantial differences between Landsat USGS and airborne thermal data were observed on a 30 m grid: therefore a new statistical downscaling method at 30 m was developed. The overall root mean square error with respect to aircraft data improved from 3.3 degrees C ( USGS) to 3.0 degrees C with the new method, that also showed better results with respect to other regressive downscaling techniques frequently used in literature. Such improvements can be ascribed to the selection of independent variables capable of representing the heterogeneous urban landscape.
引用
收藏
页码:553 / 569
页数:17
相关论文
共 45 条
[1]   A vegetation index based technique for spatial sharpening of thermal imagery [J].
Agam, Nurit ;
Kustas, William P. ;
Anderson, Martha C. ;
Li, Fuqin ;
Neale, Christopher M. U. .
REMOTE SENSING OF ENVIRONMENT, 2007, 107 (04) :545-558
[2]   Spatial and temporal trends of the surface and air heat island over Milan using MODIS data [J].
Anniballe, Roberta ;
Bonafoni, Stefania ;
Pichierri, Manuele .
REMOTE SENSING OF ENVIRONMENT, 2014, 150 :163-171
[3]   Downscaling in remote sensing [J].
Atkinson, Peter M. .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2013, 22 :106-114
[4]  
Barsi J.A., 2005, VALIDATION WEB BASED
[5]  
Barsi JA, 2003, INT GEOSCI REMOTE SE, P3014
[7]   Spectral index utility for summer urban heating analysis [J].
Bonafoni, Stefania .
JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
[8]   A fast operative method for NDVI uncertainty estimation and its role in vegetation analysis [J].
Borgogno-Mondino, Enrico ;
Lessio, Andrea ;
Gomarasca, Mario Angelo .
EUROPEAN JOURNAL OF REMOTE SENSING, 2016, 49 :137-156
[9]   Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors [J].
Chander, Gyanesh ;
Markham, Brian L. ;
Helder, Dennis L. .
REMOTE SENSING OF ENVIRONMENT, 2009, 113 (05) :893-903
[10]  
Chavez PS, 1996, PHOTOGRAMM ENG REM S, V62, P1025