Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent

被引:5
|
作者
Payra, Swagata [1 ]
Sharma, Ajay [2 ,3 ]
Mishra, Manoj Kumar [4 ]
Verma, Sunita [2 ,5 ]
机构
[1] Birla Inst Technol Mesra, Dept Remote Sensing, Ranchi, Jharkhand, India
[2] Banaras Hindu Univ, Inst Environm & Sustainable Dev, Varanasi, Uttar Pradesh, India
[3] Indian Inst Technol, Dept Civil Engn, Bombay, India
[4] Indian Satellite Res Org ISRO, Space Applicat Ctr, Ahmadabad, India
[5] Banaras Hindu Univ, DST Mahamana Ctr Excellence Climatol, Varanasi, Uttar Pradesh, India
关键词
MODIS; VIIRS; AOD; expected error envelope; satellite; AEROSOL OPTICAL DEPTH; NPP-VIIRS; DARK-TARGET; VALIDATION; CHINA; THICKNESS; AERONET; DUST; IMPROVEMENT; CALIBRATION;
D O I
10.3389/fenvs.2023.1158641
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the present study, the first systematic performance evaluation of aerosol optical depth (AOD) products retrieved using two satellite sensors i.e., Visible Infrared Imaging Radiometer Suite (VIIRS) and Aqua-Moderate-Resolution Imaging Spectroradiometer (MODIS) is carried out over India. We have used ground-based AOD from AERONET at 550 nm wavelength for inter-comparison with MODIS Aqua version C6.1 (C061) Deep Blue (DB) aerosol product and VIIRS/SNPP collection version 1.1 (V1.1) DB aerosol product over the time span of 7-year (2014-2020) observation periods. For validation, the average value of satellite pixels falling within the box of 50 Km x 50 Km keeping the AERONET station at the center is retrieved. The average daily data from the AERONET sun photometer (2014-2019) were obtained within +/- 15 min of satellite overpass time. Statistical parameters like correlation coefficient (R), RMSE, MAE, and RMB were calculated. The uncertainty of satellite AOD is evaluated using an envelope of Expected Error (EE = +/- 0.05 + 0.15 AOD for land). Statistical analysis shows that the MODIS AOD product outperforms VIIRS-retrieved AOD. The AOD retrieved from both sensors yields a high correlation (0.86-Jaipur, 0.79-Kanpur, 0.84-Gandhi College, and 0.74-Pune for MODIS and 0.75-Jaipur, 0.77-Kanpur, 0.49-Gandhi College, and 0.86-Pune for VIIRS) and low MAE (0.12-Jaipur, 0.20-Kanpur, 0.15-Gandhi College, and 0.09-Pune for MODIS and 0.13-Jaipur, 0.13-Kanpur, 0.26-Gandhi College, and 0.10-Pune for VIIRS). Other statistical measures such as RMSE, RMB, and P also suggest similar performance. More than 66% of the total data fall within the range of EE for both the satellite products at each station. Spatial comparison exhibits the same AOD pattern seasonally as well as annually having a minimum bias from -0.3 to +0.3 between MODIS and VIIRS. Slight underestimation and overestimation are observed in all the stations by MODIS, whereas VIIRS continuously underestimates AOD with increase in optical depth, suggesting improvements in the aerosol model and surface reflection in retrieval. Overall, the comparison of ground AERONET AOD reveals better accuracy of MODIS AOD with that of VIIRS satellite datasets over India.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Evaluation and analysis of MODIS and VIIRS satellite aerosol optical depth products over China
    Zhou, Zhi-Gao
    He, Li-Jie
    Zhong, Yang
    Wang, Lun-Che
    Qin, Wen-Min
    Zhang, Xiang
    Zhongguo Huanjing Kexue/China Environmental Science, 2024, 44 (08): : 4211 - 4229
  • [2] Evaluation and comparison of MODIS and VIIRS aerosol optical depth (AOD) products over regions in the Eastern Mediterranean and the Black Sea
    Osgouei, Paria Ettehadi
    Roberts, Gareth
    Kaya, Sinasi
    Bilal, Muhammad
    Dash, Jadunandan
    Sertel, Elif
    ATMOSPHERIC ENVIRONMENT, 2022, 268
  • [3] EVALUATION OF TRMM PRECIPITATION PRODUCTS OVER INDIAN SUBCONTINENT
    Indu, J.
    Kumar, D. Nagesh
    ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM, 2014, 40-8 : 355 - 358
  • [4] Evaluation of trmm precipitation products over indian subcontinent
    Indu, J.
    Kumar, D. Nagesh
    International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2014, XL-8 (01): : 355 - 358
  • [5] Spatiotemporal mixed effects modeling for the estimation of PM2.5 from MODIS AOD over the Indian subcontinent
    Unnithan, S. L. Kesav
    Gnanappazham, L.
    GISCIENCE & REMOTE SENSING, 2020, 57 (02) : 159 - 173
  • [6] Comprehensive study on AOD trends over the Indian subcontinent: a statistical approach
    Srivastava, Ashutosh
    Saran, Sameer
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2017, 38 (18) : 5127 - 5149
  • [7] Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan
    Wang, Wei
    Mao, Feiyue
    Pan, Zengxin
    Du, Lin
    Gong, Wei
    REMOTE SENSING, 2017, 9 (05)
  • [8] Precipitation Seasonality over the Indian Subcontinent: An Evaluation of Gauge, Reanalyses, and Satellite Retrievals
    Rana, Sapna
    McGregor, James
    Renwick, James
    JOURNAL OF HYDROMETEOROLOGY, 2015, 16 (02) : 631 - 651
  • [9] Evaluation of VIIRS, GOCI, and MODIS Collection 6AOD retrievals against ground sunphotometer observations over East Asia
    Xiao, Q.
    Zhang, H.
    Choi, M.
    Li, S.
    Kondragunta, S.
    Kim, J.
    Holben, B.
    Levy, R. C.
    Liu, Y.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2016, 16 (03) : 1255 - 1269
  • [10] Variability of aerosol optical depth over Indian subcontinent using modis data
    Prasad A.K.
    Singh R.P.
    Singh A.
    Journal of the Indian Society of Remote Sensing, 2004, 32 (4) : 313 - 316