SPATIO-TEMPORAL DISTRIBUTIONS AND TRENDS OF AEROSOL PARAMETERS OVER PAKISTAN USING REMOTE SENSING

被引:11
|
作者
Tariq, S. [1 ]
Ul-Haq, Z. [1 ]
Mahmood, K. [1 ]
Rana, A. D. [1 ]
机构
[1] Univ Punjab, Dept Space Sci, Remote Sensing & GIS Grp, New Campus, Lahore 54590, Pakistan
来源
关键词
AOD; Angstrom exponent; SeaWiFS; small mode fraction; OPTICAL DEPTH RETRIEVALS; IMAGING SPECTRORADIOMETER MISR; INDO-GANGETIC PLAINS; AIR-POLLUTION; MODIS; CLIMATE; AERONET; LAND; VARIABILITY; VALIDATION;
D O I
10.15666/aeer/1603_26152637
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Aerosols play a major role in atmospheric solar radiation budget, air quality degradation and climate change. In order to accurately evaluate aerosols effects, we require an in-depth knowledge of spatio-temporal distributions of their parameters. The focus of this paper is to analyze spatio-temporal distributions and trends of aerosol parameters over Pakistan. In present study, Terra-MODIS data have been used during April 2000-March 2014 to analyze AOD (550 nm), Angstrom exponent (470-660) (AE(470-660)), small mode fraction (SMF) and mass concentration (MC). Values of coefficient of determination (R-2) between Terra-AOD and AERONET-AOD are found to be 0.718 and 0.745 for Lahore and Karachi respectively. Terra-AOD has also been compared with other satellite-based observations obtained from Aqua, MISR and SeaWiFS. A notable spatial variability in mean annual Terra-AOD values (0.15-0.87) has been observed with high values (similar to 0.8) over northeastern and southern Pakistan. AE(470-660) ranges from 0.56 to 1.44 showing high values (greater than 0.8) over northern Pakistan and relatively low values (less than 0.8) over southern Pakistan. MC is found to be in the range from 7.6 mu g/cm(2) to 56.2 mu g/cm(2) with spatial distribution quite similar to AOD. Overall mean values of AOD, AE(470-660), SMF and MC are found to be 0.43 +/- 0.16, 0.68 +/- 0.06, 0.11 +/- 0.05 and 28.2 +/- 9.71 mu g/cm(2) respectively.
引用
收藏
页码:2615 / 2637
页数:23
相关论文
共 50 条
  • [31] SPATIO-TEMPORAL ESTIMATION OF SOIL MOISTURE IN A TROPICAL REGION USING A REMOTE SENSING ALGORITHM
    Marrufo, Liliana
    Gonzalez, Fernando
    Monsivais-Huertero, Alejandro
    Ramos, Judith
    [J]. 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 3089 - 3092
  • [32] Spatio-temporal assessment and climatology of atmospheric organic carbon over Pakistan
    Hashmi, Muhammad Zaffar
    Ashraf, Khadija
    Adnan, Shahzada
    Wang, Shuhong
    Pongpiachan, Siwatt
    Su, Xiaomei
    Ahmed, Zulkfil
    [J]. ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (15)
  • [33] Spatio-temporal assessment and climatology of atmospheric organic carbon over Pakistan
    Muhammad Zaffar Hashmi
    Khadija Ashraf
    Shahzada Adnan
    Shuhong Wang
    Siwatt Pongpiachan
    Xiaomei Su
    Zulkfil Ahmed
    [J]. Arabian Journal of Geosciences, 2020, 13
  • [34] Seasonal variability in aerosol optical depth over India: a spatio-temporal analysis using the MODIS aerosol product
    Acharya, Prasenjit
    Sreekesh, S.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (13) : 4832 - 4849
  • [35] A NOISE PROOF STRATEGY FOR SPATIO-TEMPORAL FUSION OF REMOTE SENSING IMAGERY
    Li, Yunfei
    Li, Jun
    Plaza, Antonio
    [J]. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 895 - 898
  • [36] Spatio-temporal fusion for remote sensing data: an overview and new benchmark
    Li, Jun
    Li, Yunfei
    He, Lin
    Chen, Jin
    Plaza, Antonio
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (04)
  • [37] Spatio-temporal fusion for remote sensing data: an overview and new benchmark
    Jun Li
    Yunfei Li
    Lin He
    Jin Chen
    Antonio Plaza
    [J]. Science China Information Sciences, 2020, 63
  • [38] Spatio-Temporal Data Fusion for Very Large Remote Sensing Datasets
    Hai Nguyen
    Katzfuss, Matthias
    Cressie, Noel
    Braverman, Amy
    [J]. TECHNOMETRICS, 2014, 56 (02) : 174 - 185
  • [39] Remote sensing image standardization management and spatio-temporal scale integration
    Guo, XY
    Liu, SH
    Qu, YH
    Wang, PJ
    [J]. IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 3861 - 3863
  • [40] Spatio-Temporal Dynamics Assessment of Coastlines Based on Remote Sensing Data
    Otinar, Pedro
    Silva, Marcus
    Cobos, Manuel
    Magana, Pedro
    Baquerizo, Asuncion
    [J]. PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS, 2022, : 5917 - 5925