Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent
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 us...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-06-01
|
| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1158641/full |
| _version_ | 1827932470311387136 |
|---|---|
| author | Swagata Payra Ajay Sharma Ajay Sharma Manoj Kumar Mishra Sunita Verma Sunita Verma |
| author_facet | Swagata Payra Ajay Sharma Ajay Sharma Manoj Kumar Mishra Sunita Verma Sunita Verma |
| author_sort | Swagata Payra |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-13T07:10:17Z |
| format | Article |
| id | doaj.art-e9cad014da674c0a8d762b862ce63405 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-03-13T07:10:17Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-e9cad014da674c0a8d762b862ce634052023-06-06T04:46:39ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2023-06-011110.3389/fenvs.2023.11586411158641Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinentSwagata Payra0Ajay Sharma1Ajay Sharma2Manoj Kumar Mishra3Sunita Verma4Sunita Verma5Department of Remote Sensing, Birla Institute of Technology Mesra, Ranchi, Jharkhand, IndiaInstitute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh, IndiaDepartment of Civil Engineering, Indian Institute of Technology, Bombay, IndiaSpace Application Centre, Indian Satellite Research Organisation (ISRO), Ahmedabad, IndiaInstitute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh, IndiaDST-Mahamana Centre of Excellence in Climatology, Banaras Hindu University, Varanasi, Uttar Pradesh, IndiaIn 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.https://www.frontiersin.org/articles/10.3389/fenvs.2023.1158641/fullMODISVIIRSAODexpected error envelopesatellite |
| spellingShingle | Swagata Payra Ajay Sharma Ajay Sharma Manoj Kumar Mishra Sunita Verma Sunita Verma Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent Frontiers in Environmental Science MODIS VIIRS AOD expected error envelope satellite |
| title | Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent |
| title_full | Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent |
| title_fullStr | Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent |
| title_full_unstemmed | Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent |
| title_short | Performance evaluation of MODIS and VIIRS satellite AOD products over the Indian subcontinent |
| title_sort | performance evaluation of modis and viirs satellite aod products over the indian subcontinent |
| topic | MODIS VIIRS AOD expected error envelope satellite |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1158641/full |
| work_keys_str_mv | AT swagatapayra performanceevaluationofmodisandviirssatelliteaodproductsovertheindiansubcontinent AT ajaysharma performanceevaluationofmodisandviirssatelliteaodproductsovertheindiansubcontinent AT ajaysharma performanceevaluationofmodisandviirssatelliteaodproductsovertheindiansubcontinent AT manojkumarmishra performanceevaluationofmodisandviirssatelliteaodproductsovertheindiansubcontinent AT sunitaverma performanceevaluationofmodisandviirssatelliteaodproductsovertheindiansubcontinent AT sunitaverma performanceevaluationofmodisandviirssatelliteaodproductsovertheindiansubcontinent |