TY - JOUR
T1 - Derivation of PM10 levels using obra on landsat 5 TM images
T2 - A case study in Izmir, Turkey
AU - Ozelkan, Emre
AU - Karaman, Muhittin
AU - Mostamandy, Suleiman
AU - Avci, Z. Damla Uca
AU - Toros, Hüseyin
PY - 2015
Y1 - 2015
N2 - Remote sensing is a convenient and promising technique in air quality management. It can be used to determine local and global spatial distribution of Particulate Matter (PM10) data. Determination of PM10 data using multispectral satellite images' reflectance values was the main aim of this study. For this purpose, 19.02.2010 and 26.03.2011 dated Landsat 5TM multispectral satellite images were used. The PM10 data of Izmir, a metropolitan city in Turkey, was also gathered from in situ air quality measurement stations. The highest, lowest and average PM10 values measured were 172, 92.5 and 124.4 μgm-3 on 19.02.2010, and 64.5, 31 and 48.7 μgm-3 on 26.03.2011, respectively. Difference images, that were obtained by subtraction of atmospheric corrected images from top of atmosphere reflectance (TOA) calculated images, were used in the study. Optimum Band Ratio (OBRA) method was used to produce all possible band ratio (BR) indices of the difference images. Additionally, the filter sizes from 1×1 (direct value of a station) to 11×11 were applied to generate difference images for determining the suitable filter size correlated ones with in-situ PM10 data. The results were correlated with PM10 values. The BR of 1650 nm centered Mid-IR 1 (band 5) and 2315 nm centered Mid-IR 2 (band 7) with 3×3 filter size was found to be suitable to determine PM10 data with remote sensing. The highest correlation coefficients between PM10 and the values of [band 5 (B5)/band 7 (B7)] and B7/B5 ratio indices were obtained as r=0.86 for 19.02.2010 and 26.03.2011, respectively. The results show that the B5/B7 and B7/B5 ratio values of Landsat 5TM were more correlated and appropriate than other BRs to determine PM10. Additionally, the simulation of an online coupled regional meteorology-chemistry Enviro-HIRLAM model was run for the two dates. Model 45 h forecast results, being compatible with remote sensing results, indicated that the PM10 content in the region is higher on 19.02.2010.
AB - Remote sensing is a convenient and promising technique in air quality management. It can be used to determine local and global spatial distribution of Particulate Matter (PM10) data. Determination of PM10 data using multispectral satellite images' reflectance values was the main aim of this study. For this purpose, 19.02.2010 and 26.03.2011 dated Landsat 5TM multispectral satellite images were used. The PM10 data of Izmir, a metropolitan city in Turkey, was also gathered from in situ air quality measurement stations. The highest, lowest and average PM10 values measured were 172, 92.5 and 124.4 μgm-3 on 19.02.2010, and 64.5, 31 and 48.7 μgm-3 on 26.03.2011, respectively. Difference images, that were obtained by subtraction of atmospheric corrected images from top of atmosphere reflectance (TOA) calculated images, were used in the study. Optimum Band Ratio (OBRA) method was used to produce all possible band ratio (BR) indices of the difference images. Additionally, the filter sizes from 1×1 (direct value of a station) to 11×11 were applied to generate difference images for determining the suitable filter size correlated ones with in-situ PM10 data. The results were correlated with PM10 values. The BR of 1650 nm centered Mid-IR 1 (band 5) and 2315 nm centered Mid-IR 2 (band 7) with 3×3 filter size was found to be suitable to determine PM10 data with remote sensing. The highest correlation coefficients between PM10 and the values of [band 5 (B5)/band 7 (B7)] and B7/B5 ratio indices were obtained as r=0.86 for 19.02.2010 and 26.03.2011, respectively. The results show that the B5/B7 and B7/B5 ratio values of Landsat 5TM were more correlated and appropriate than other BRs to determine PM10. Additionally, the simulation of an online coupled regional meteorology-chemistry Enviro-HIRLAM model was run for the two dates. Model 45 h forecast results, being compatible with remote sensing results, indicated that the PM10 content in the region is higher on 19.02.2010.
KW - Air pollution
KW - Landsat 5 TM
KW - NWP
KW - OBRA
KW - PM10
KW - Remote sensing
UR - http://www.scopus.com/inward/record.url?scp=84930167530&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84930167530
SN - 1018-4619
VL - 24
SP - 1585
EP - 1596
JO - Fresenius Environmental Bulletin
JF - Fresenius Environmental Bulletin
IS - 4B
ER -
