Deterioration status of asbestos-cement roofing sheets assessed by analyzing hyperspectral data

被引:70
作者
Bassani, Cristiana [1 ]
Cavalli, Rosa Maria [1 ]
Cavalcante, Francesco [1 ]
Cuomo, Vincenzo [1 ]
Palombo, Angelo [1 ]
Pascucci, Simone [1 ]
Pignatti, Stefano [1 ]
机构
[1] CNR, Inst Methodol Environm Anal, I-85050 Tito, PZ, Italy
关键词
asbestos cement; urban remote sensing; hyperspectral data; detection thresholds;
D O I
10.1016/j.rse.2007.01.014
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper describes a systematic procedure for recognizing corrugated asbestos-cement roofing sheets and evaluating their deterioration status related to the asbestos fiber air dispersion that can cause lung cancer. To develop this procedure, we made field and laboratory measurements and gathered airborne MIVIS data covering two industrial test areas in Italy. Laboratory analyses of asbestos-cement samples representing various levels of deterioration allowed for: (a) recognizing dominant minerals using XRD and FTIR instruments, (b) identifying their optical characteristics using portable field spectrometers (ASD and mu FTIR), (c) assessing the abundance of surfacing asbestos fibers using a high resolution scanner. Based on the spectral analyses, two linear regression lines were identified by relating optical asbestos-cement material characteristics (i.e. band-depth ratio of the continuum removed calculated for the two asbestos diagnostic bands at 2.32 mu m and at 9.44 mu m) to the relative percentage of surfacing asbestos fibers related to AC deterioration status. Suitable MIVIS spectral regions were used in a spectral classification procedure to map asbestos-cement roofs. The detected roofs were further analyzed using the obtained linear regression lines to estimate surfacing asbestos fiber abundance, using the MIVIS TIR range at 9.44 mu m, selected by means of the asbestos-cement detection limit analysis. The results showed that a hyperspectral scanner with suitable operational characteristics allows for good clustering of AC roofs as a function of their deterioration status. Therefore, this technique can furnish government authorities with an efficient, rapid and. repeatable environmental mapping procedure that can provide information about the location of hazardous AC roofing sheets. (C) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:361 / 378
页数:18
相关论文
共 85 条
[31]   MAPPING ALLUVIAL FANS IN DEATH-VALLEY, CALIFORNIA, USING MULTICHANNEL THERMAL INFRARED IMAGES [J].
GILLESPIE, AR ;
KAHLE, AB ;
PALLUCONI, FD .
GEOPHYSICAL RESEARCH LETTERS, 1984, 11 (11) :1153-1156
[32]   SPECTRAL MIXTURE ANALYSIS OF MULTISPECTRAL THERMAL INFRARED IMAGES [J].
GILLESPIE, AR .
REMOTE SENSING OF ENVIRONMENT, 1992, 42 (02) :137-145
[33]  
GREEN RO, 1999, P 8 JPL AIRB EARTH S, P161
[34]   Autonomous atmospheric compensation (AAC) of high resolution hyperspectral thermal infrared remote-sensing imagery [J].
Gu, DG ;
Gillespie, AR ;
Kahle, AB ;
Palluconi, FD .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (06) :2557-2570
[35]   Analysis of spectral signatures of urban surfaces for their identification using hyperspectral HyMap data [J].
Heiden, U ;
Roessner, S ;
Segl, K ;
Kaufmann, H .
IEEE/ISPRS JOINT WORKSHOP ON REMOTE SENSING AND DATA FUSION OVER URBAN AREAS, 2001, :173-177
[36]  
HEPNER GF, 2002, P AVIRIS EARTH SCI A
[37]   Spectral resolution requirements for mapping urban areas [J].
Herold, M ;
Gardner, ME ;
Roberts, DA .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (09) :1907-1919
[38]  
HEROLD M, 2004, REMOTE SENS ENVIRON, P304
[39]   A COMPARISON OF TECHNIQUES FOR EXTRACTING EMISSIVITY INFORMATION FROM THERMAL INFRARED DATA FOR GEOLOGIC STUDIES [J].
HOOK, SJ ;
GABELL, AR ;
GREEN, AA ;
KEALY, PS .
REMOTE SENSING OF ENVIRONMENT, 1992, 42 (02) :123-135
[40]   The MODIS/ASTER airborne simulator (MASTER) - a new instrument for earth science studies [J].
Hook, SJ ;
Myers, JEJ ;
Thome, KJ ;
Fitzgerald, M ;
Kahle, AB .
REMOTE SENSING OF ENVIRONMENT, 2001, 76 (01) :93-102