Literature DB >> 32020955

Preliminary analysis of the performance of the Landsat 8/OLI land surface reflectance product.

Eric Vermote1, Chris Justice2, Martin Claverie2,1, Belen Franch2,1.   

Abstract

The surface reflectance, i.e., satellite derived top of atmosphere (TOA) reflectance corrected for the temporally, spatially and spectrally varying scattering and absorbing effects of atmospheric gases and aerosols, is needed to monitor the land surface reliably. For this reason, the surface reflectance, and not TOA reflectance, is used to generate the greater majority of global land products, for example, from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors. Even if atmospheric effects are minimized by sensor design, atmospheric effects are still challenging to correct. In particular, the strong impact of aerosols in the Visible and Near Infrared spectral range can be difficult to correct, because they can be highly discrete in space and time (e.g., smoke plumes) and because of the complex scattering and absorbing properties of aerosols that vary spectrally and with aerosol size, shape, chemistry and density. This paper presents the Landsat 8 Operational Land Imager (OLI) atmospheric correction algorithm that has been developed using the Second Simulation of the Satellite Signal in the Solar Spectrum Vectorial (6SV) model, refined to take advantage of the narrow OLI spectral bands (compared to Thematic Mapper/Enhanced Thematic Mapper (TM/ETM+)), improved radiometric resolution and signal-to-noise. In addition, the algorithm uses the new OLI Coastal aerosol band (0.433-0.450μm), which is particularly helpful for retrieving aerosol properties, as it covers shorter wavelengths than the conventional Landsat, TM and ETM+ blue bands. A cloud and cloud shadow mask has also been developed using the "cirrus" band (1.360-1.390 μm) available on OLI, and the thermal infrared bands from the Thermal Infrared Sensor (TIRS) instrument. The performance of the surface reflectance product from OLI is analyzed over the Aerosol Robotic Network (AERONET) sites using accurate atmospheric correction (based on in situ measurements of the atmospheric properties), by comparison with the MODIS Bidirectional Reflectance Distribution Function (BRDF) adjusted surface reflectance product and by comparison of OLI derived broadband albedo from United States Surface Radiation Budget Network (US SURFRAD) measurements.

Entities:  

Year:  2016        PMID: 32020955      PMCID: PMC6999666          DOI: 10.1016/j.rse.2016.04.008

Source DB:  PubMed          Journal:  Remote Sens Environ        ISSN: 0034-4257            Impact factor:   10.164


  3 in total

1.  Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: path radiance.

Authors:  Svetlana Y Kotchenova; Eric F Vermote; Raffaella Matarrese; Frank J Klemm
Journal:  Appl Opt       Date:  2006-09-10       Impact factor: 1.980

2.  Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part II. Homogeneous Lambertian and anisotropic surfaces.

Authors:  Svetlana Y Kotchenova; Eric F Vermote
Journal:  Appl Opt       Date:  2007-07-10       Impact factor: 1.980

3.  Radiative transfer codes for atmospheric correction and aerosol retrieval: intercomparison study.

Authors:  Svetlana Y Kotchenova; Eric F Vermote; Robert Levy; Alexei Lyapustin
Journal:  Appl Opt       Date:  2008-05-01       Impact factor: 1.980

  3 in total
  24 in total

1.  Evaluating Drought Impact on Postfire Recovery of Chaparral Across Southern California.

Authors:  Emanuel A Storey; Douglas A Stow; Dar A Roberts; John F O'Leary; Frank W Davis
Journal:  Ecosystems       Date:  2020-10-19       Impact factor: 4.217

2.  Evaluating uncertainty in Landsat-derived postfire recovery metrics due to terrain, soil, and shrub type variations in southern California.

Authors:  Emanuel A Storey; Douglas A Stow; Dar A Roberts
Journal:  GIsci Remote Sens       Date:  2019-12-17       Impact factor: 6.238

3.  Atmospheric Correction Inter-comparison eXercise.

Authors:  Georgia Doxani; Eric Vermote; Jean-Clause Roger; Ferran Gascon; Stefan Adriaensen; David Frantz; Olivier Hagolle; André Hollstein; Grit Kirches; Fuqin Li; Jerome Louis; Antoine Mangin; Nima Pahleva; Bringfried Pflug; Quinten Vanhellmont
Journal:  Remote Sens (Basel)       Date:  2018-02-24       Impact factor: 4.848

4.  A global map of planting years of plantations.

Authors:  Zhenrong Du; Le Yu; Jianyu Yang; Yidi Xu; Bin Chen; Shushi Peng; Tingting Zhang; Haohuan Fu; Nancy Harris; Peng Gong
Journal:  Sci Data       Date:  2022-04-01       Impact factor: 6.444

5.  ValLAI_Crop, a validation dataset for coarse-resolution satellite LAI products over Chinese cropland.

Authors:  Bowen Song; Liangyun Liu; Shanshan Du; Xiao Zhang; Xidong Chen; Helin Zhang
Journal:  Sci Data       Date:  2021-09-20       Impact factor: 6.444

6.  Variability and Uncertainty Challenges in Scaling Imaging Spectroscopy Retrievals and Validations from Leaves Up to Vegetation Canopies.

Authors:  Zbyněk Malenovský; Lucie Homolová; Petr Lukeš; Henning Buddenbaum; Jochem Verrelst; Luis Alonso; Michael E Schaepman; Nicolas Lauret; Jean-Philippe Gastellu-Etchegorry
Journal:  Surv Geophys       Date:  2019-05-09       Impact factor: 7.965

7.  First comprehensive quantification of annual land use/cover from 1990 to 2020 across mainland Vietnam.

Authors:  Duong Cao Phan; Ta Hoang Trung; Van Thinh Truong; Taiga Sasagawa; Thuy Phuong Thi Vu; Dieu Tien Bui; Masato Hayashi; Takeo Tadono; Kenlo Nishida Nasahara
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

8.  Hot Spots of Glacier Mass Balance Variability in Central Asia.

Authors:  Martina Barandun; Eric Pohl; Kathrin Naegeli; Robert McNabb; Matthias Huss; Etienne Berthier; Tomas Saks; Martin Hoelzle
Journal:  Geophys Res Lett       Date:  2021-06-09       Impact factor: 4.720

9.  Storm surge and ponding explain mangrove dieback in southwest Florida following Hurricane Irma.

Authors:  David Lagomasino; Temilola Fatoyinbo; Edward Castañeda-Moya; Bruce D Cook; Paul M Montesano; Christopher S R Neigh; Lawrence A Corp; Lesley E Ott; Selena Chavez; Douglas C Morton
Journal:  Nat Commun       Date:  2021-06-28       Impact factor: 14.919

10.  Shifting Patterns of Summer Lake Color Phenology in Over 26,000 US Lakes.

Authors:  Simon N Topp; Tamlin M Pavelsky; Hilary A Dugan; Xiao Yang; John Gardner; Matthew R V Ross
Journal:  Water Resour Res       Date:  2021-05-17       Impact factor: 5.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.