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Impact of Spatial Sampling on Continuity of MODIS–VIIRS Land Surface Reflectance Products: A Simulation Approach

Nima Pahlevan, Sudipta Sarkar, Sadashiva Devadiga, Robert E. Wolfe, Miguel Roman, Eric Vermote, Guoqing Lin, Xiaoxiong Xiong
2017 IEEE Transactions on Geoscience and Remote Sensing  
In this paper, we aim at quantifying the consistency of Aqua MODIS and Suomi-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Reflectance (LSR) and NDVI products as related to their inherent  ...  distribution function, the MODIS and VIIRS LSR products were simulated using the Landsat-8's Operational Land Imager (OLI) LSR products.  ...  Masuoka for his continued support of this work. They would also like to thank P.  ... 
doi:10.1109/tgrs.2016.2604214 fatcat:6mn5tnxukjb7nocqefrfjv5llu

Quality Assessment of S-NPP VIIRS Land Surface Temperature Product

Yuling Liu, Yunyue Yu, Peng Yu, Frank Göttsche, Isabel Trigo
2015 Remote Sensing  
Some issues have been found as follows: (1) Cloud contamination, particularly the cloud detection error over a snow/ice surface, shows significant impacts on LST validation; (2) Performance of the VIIRS  ...  SURFRAD ground observations indicate a similar accuracy among VIIRS, MODIS and AATSR LST, in which VIIRS LST presents an overall accuracy of −0.41 K and precision of 2.35 K.  ...  The manuscript contents are solely the opinions of the authors and do not constitute a statement of policy, decision, or position on behalf of NOAA or the U. S. Government.  ... 
doi:10.3390/rs70912215 fatcat:lri7vk2ptzadlck5b3nhxk7cwi

Validation of Land Surface Temperature products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) using ground-based and heritage satellite measurements

Pierre C. Guillevic, James C. Biard, Glynn C. Hulley, Jeffrey L. Privette, Simon J. Hook, Albert Olioso, Frank M. Göttsche, Robert Radocinski, Miguel O. Román, Yunyue Yu, Ivan Csiszar
2014 Remote Sensing of Environment  
Thermal infrared satellite observations of the Earth's surface are widely used to retrieve Land Surface Temperature (LST) and monitor LST changes around the world.  ...  Since January 2012, the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-Orbiting Partnership (S-NPP) has provided daily observations of LST with a spatial resolution  ...  For example, a systematically higher VIIRS LST product (relative to MODIS LST) may reflect a possible issue in VIIRS, MODIS or both retrieval algorithms.  ... 
doi:10.1016/j.rse.2014.08.013 fatcat:7pmowutsfzcvlembfhl2ehq2qq

MODIS and VIIRS Calibration and Characterization in Support of Producing Long-Term High-Quality Data Products

Xiaoxiong Xiong, Amit Angal, Tiejun Chang, Kwofu Chiang, Ning Lei, Yonghong Li, Junqiang Sun, Kevin Twedt, Aisheng Wu
2020 Remote Sensing  
In order to help scientists and users gain a better understanding of MODIS and VIIRS data quality, this paper provides an overview of their on-orbit calibration methodologies, approaches, and results derived  ...  As illustrated, the overall performance of both MODIS and VIIRS continues to meet their design requirements.  ...  The efforts of the MODIS Characterization Support Team and VIIRS Characterization support team are also acknowledged. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12193167 fatcat:d3s7pusgirev5bxakwolne6y5y

Impact of the Dust Aerosol Model on the VIIRS Aerosol Optical Depth (AOD) Product across China

Yang Wang, Liangfu Chen, Jinyuan Xin, Xinhui Wang
2020 Remote Sensing  
The poor AOD retrieval with the dust model was also verified by a comparison with the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol product.  ...  used to evaluate the National Oceanic and Atmospheric Administration (NOAA) VIIRS AOD products in six typical sites and analyze the influence of the aerosol model selection process in five subregions,  ...  The VIIRS algorithm used a dynamic aerosol model that selects an aerosol model by a minimal residual of the calculated surface reflectance and expected surface reflectance.  ... 
doi:10.3390/rs12060991 fatcat:3ihc7wrqfzcy7iclf26r25lehq

Developing Land Surface Directional Reflectance and Albedo Products from Geostationary GOES-R and Himawari Data: Theoretical Basis, Operational Implementation, and Validation

He, Zhang, Liang, Yu, Wang
2019 Remote Sensing  
including MODIS, Visible infrared Imaging Radiometer (VIIRS), and Global Land Surface Satellites (GLASS) albedo products, where good agreement was found with bias values of −0.001 (ABI) and 0.020 (AHI  ...  In this study, we developed the land surface directional reflectance and albedo products from Geostationary Operational Environment Satellite-R (GOES-R) Advanced Baseline Imager (ABI) data using a method  ...  We gratefully acknowledge the MODIS, VIIRS, and GLASS teams for maintaining the global albedo datasets. We also thank the SURFRAD, OzFlux, and AERONET teams for providing the ground measurements.  ... 
doi:10.3390/rs11222655 fatcat:mxom3lcfgffkbpffobistftfs4

Derivation of Shortwave Radiometric Adjustments for SNPP and NOAA-20 VIIRS for the NASA MODIS-VIIRS Continuity Cloud Products

Kerry Meyer, Steven Platnick, Robert Holz, Steve Dutcher, Greg Quinn, Fred Nagle
2020 Remote Sensing  
in analogous shortwave channels on both imagers, with VIIRS generally observing brighter top-of-atmosphere spectral reflectance than MODIS (e.g., up to 5% brighter in the 0.67 µm channel).  ...  Early implementations of the CLDPROP algorithms on Aqua MODIS and SNPP VIIRS suffered from large intersensor biases in cloud optical properties that were traced back to relative radiometric inconsistency  ...  We are also grateful for numerous fruitful discussions on MODIS-VIIRS radiometric consistency with the aerosol product teams, specifically Andy Sayer (Deep Blue) and Rob Levy (Dark Target), as well as  ... 
doi:10.3390/rs12244096 fatcat:fher2ejoave6niv7ljbgjdbx3m

Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product

Lin Lin, Xianjun Hao, Bin Zhang, Cheng-Zhi Zou, Changyong Cao
2021 Remote Sensing  
Therefore, the reprocessed ECM product is a useful benchmark for the user community.  ...  In addition, due to the better quality of the reprocessed VIIRS SDR data that are utilized to generate the reprocessed ECM product, it is expected that the reprocessed ECM product will have better stability  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13132502 fatcat:evt77husanh6repi37vyopshva

Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products

Jing Wei, Yiran Peng, Rashed Mahmood, Lin Sun, Jianping Guo
2019 Atmospheric Chemistry and Physics  
), Visible Infrared Imaging Radiometer (VIIRS), and POLarization and Directionality of the Earth's Reflectance (POLDER) products.  ...  In general, the MODIS products show the best agreement with the AERONET-based AOD values on different spatial scales among all the products.  ...  The MODIS, MISR, AVHRR and SeaWiFS monthly products are available at https://search.earthdata.nasa.gov/ (last access: 1 October 2018).  ... 
doi:10.5194/acp-19-7183-2019 fatcat:xhe6i4reirharb7ayagehrarya

Evaluation of the multi-angle implementation of atmospheric correction (MAIAC) aerosol algorithm through intercomparison with VIIRS aerosol products and AERONET

Stephen D. Superczynski, Shobha Kondragunta, Alexei I. Lyapustin
2017 Journal of Geophysical Research - Atmospheres  
surface characteristics. 35 Results suggest that MAIAC performs well over this region with a relatively small bias of -0.01; 36 however there is a tendency for greater negative biases over bright surfaces  ...  BRF which in turn improves cloud 20 masking and aerosol-surface retrievals. 21  Comparison with AOT from VIIRS and AERONET show that MAIAC exhibits low bias over 22 North America with high spatial coverage  ...  Over land, the VIIRS aerosol 129 algorithm is based on the MODIS Atmospheric Correction algorithm for determining surface reflectance 130 [Vermote and Kotchenova, 2008].  ... 
doi:10.1002/2016jd025720 pmid:29796366 pmcid:PMC5963281 fatcat:skaqtioscnempbtcsx4e6qne3q

Spectral Cross-Calibration of VIIRS Enhanced Vegetation Index with MODIS: A Case Study Using Year-Long Global Data

Kenta Obata, Tomoaki Miura, Hiroki Yoshioka, Alfredo Huete, Marco Vargas
2016 Remote Sensing  
VI continuity/compatibility across AVHRR, MODIS, and VIIRS is of great importance for understanding spatial and temporal dynamics of global vegetation over several decades.  ...  Our cross-calibration approach was to utilize a MODIS-compatible VIIRS EVI equation derived in a previous study [Obata et al., J. Appl.  ...  of results with his knowledge on the VIIRS algorithm and product characteristics.  ... 
doi:10.3390/rs8010034 fatcat:thrjftmjqjfhzo2xersxb3auay

Derivation of a MODIS-compatible enhanced vegetation index from visible infrared imaging radiometer suite spectral reflectances using vegetation isoline equations

Kenta Obata, Tomoaki Miura, Hiroki Yoshioka, Alfredo R. Huete
2013 Journal of Applied Remote Sensing  
The PROSAIL canopy reflectance and 6S atmospheric models were employed to numerically characterize the MODIS-compatible VIIRS EVI.  ...  We developed a unique methodology that spectrally translates the enhanced vegetation index (EVI) across sensors for data continuity based on vegetation isoline equations and derived a moderate resolution  ...  Suomi NPP VIIRS L2G daily 500-m surface reflectance product was used to obtain VIIRS-I1 and VIIRS-I2 data and the corresponding 1-km product was acquired for VIIRS-M3 data, which are a VIIRS Land Product  ... 
doi:10.1117/1.jrs.7.073467 fatcat:w5qe4gqqazelvnavqou26wn4sy

Inferring Near-Surface PM2.5 Concentrations from the VIIRS Deep Blue Aerosol Product in China: A Spatiotemporally Weighted Random Forest Model

Wenhao Xue, Jing Wei, Jing Zhang, Lin Sun, Yunfei Che, Mengfei Yuan, Xiaomin Hu
2021 Remote Sensing  
Compared with traditional methods and the results of previous similar studies, our satellite-derived PM2.5 distribution shows better consistency with surface-measured records, having a high out-of-sample  ...  Visible infrared Imaging Radiometer (VIIRS) Deep Blue (DB) aerosol product, along with meteorological variables, and socioeconomic data.  ...  Owing to improvements in the radiative transfer model, surface reflectance and aerosol type, this new product yields a much better accuracy with wider spatial coverage than the VIIRS VAOOO AOD product,  ... 
doi:10.3390/rs13030505 fatcat:7hzsdpflujagvdtw4p4to4nzlm

Temporal and spatial variability of daytime land surface temperature in Houston: Comparing DISCOVER-AQ aircraft observations with the WRF model and satellites

Min Huang, Pius Lee, Richard McNider, James Crawford, Eric Buzay, John Barrick, Yuling Liu, Praveena Krishnan
2016 Journal of Geophysical Research - Atmospheres  
Based on a semiempirical diurnal temperature cycle model and aircraft observations taken at different times of the day, daytime land surface temperature (LST) is derived at six locations in the Greater  ...  WRF model performance depended on its setup and varied by location and time Supporting Information: • Figures S1-S3 (2016), Temporal and spatial variability of daytime land surface temperature in Houston  ...  The views, opinions, and findings contained in this paper are those of the author(s) and should not be construed as an official National Oceanic and Atmospheric Administration or U.S. Government  ... 
doi:10.1002/2015jd023996 fatcat:6ocmyn3s4fa3pf7uursiikywwa

Continuing the MODIS Dark Target Aerosol Time Series with VIIRS

Virginia Sawyer, Robert C. Levy, Shana Mattoo, Geoff Cureton, Yingxi Shi, Lorraine A. Remer
2020 Remote Sensing  
A version of the DT AOD retrieval for the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi-National Polar-Orbiting Partnership (SNPP) is now mature enough to be released as a standard data  ...  For most purposes, DT for VIIRS SNPP is consistent enough and in close enough agreement with MODIS to continue the record of satellite AOD.  ...  Over land, the surface reflectance relies on too many other factors to simulate directly, but for vegetation and dark surfaces it can be parameterized as a series of spectral ratios [32, 35] .  ... 
doi:10.3390/rs12020308 fatcat:grdop2rkszcchny3eynzdm2qcy
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