publication . Other literature type . Article . 2017

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

David P. Roy; Zhongbin Li; Hankui K. Zhang;
  • Published: 01 Dec 2017
  • Publisher: MDPI AG
Abstract
Optical wavelength satellite data have directional reflectance effects over non-Lambertian surfaces, described by the bidirectional reflectance distribution function (BRDF). The Sentinel-2 multi-spectral instrument (MSI) acquires data over a 20.6° field of view that have been shown to have non-negligible BRDF effects in the visible, near-infrared, and short wave infrared bands. MSI red-edge BRDF effects have not been investigated. In this study, they are quantified by an examination of 6.6 million (January 2016) and 10.7 million (April 2016) pairs of forward and back scatter reflectance observations extracted over approximately 20° × 10° of southern Africa. Non-...
Subjects
free text keywords: red-edge, bidirectional reflectance distribution function (BRDF), NBAR, Sentinel-2, MODIS, Landsat, POLDER, Africa, Science, Q
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Remote Sensing
Article . 2017
http://dx.doi.org/10.3390/rs91...
Other literature type . 2017
Provider: Datacite
55 references, page 1 of 4

Laberinti, P.; Martimort, P. Sentinel-2: ESA's optical high-resolution mission for GMES operational services.

Remote Sens. Environ. 2012, 120, 25-36. [CrossRef]

Li, J.; Roy, D.P. A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and

Implications for Terrestrial Monitoring. Remote Sens. 2017, 9, 902. [CrossRef]

The linear extrapolation method. Remote Sens. Environ. 2006, 101, 181-193. [CrossRef]

red-edge bands on Sentinel-2 and -3. Int. J. Appl. Earth Obs. Geoinf. 2013, 23, 344-351. [CrossRef]

Dash, J.; Curran, P.J. The MERIS terrestrial chlorophyll index. Int. J. Remote Sens. 2004, 25, 5403-5413.

for estimation of forest leaf area index. IEEE Trans. Geosci. Remote Sens. 2003, 41, 916-921.

Delegido, J.; Verrelst, J.; Alonso, L.; Moreno, J. Evaluation of Sentinel-2 red-edge bands for empirical

estimation of green LAI and chlorophyll content. Sensors 2001, 11, 7063-7081. [CrossRef] [PubMed]

potato crops by VEN S and Sentinel-2 bands. Remote Sens. Environ. 2011, 115, 2141-2151. [CrossRef]

9. Smith, K.; Steven, M.; Colls, J. Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks. Remote Sens. Environ. 2004, 92, 207-217. [CrossRef] [OpenAIRE]

10. Oliva, P.; Martín, P.; Chuvieco, E. Burned area mapping with MERIS post-fire image. Int. J. Remote Sens. 2011, 32, 4175-4201. [CrossRef]

11. Huang, H.; Roy, D.P.; Boschetti, B.; Zhang, H.K.; Yan, L.; Kumar, S.S.; Gomez-Dans, J.; Li, J. Separability analysis of Sentinel-2A multi-spectral instrument (MSI) data for burned area discrimination. Remote Sens. 2016, 8, 873. [CrossRef]

12. Roy, D.P.; Li, J.; Zhang, H.K.; Yan, L.; Huang, H. Examination of Sentinel-2A multi-spectral instrument (MSI) reflectance anisotropy and the suitability of a general method to normalize MSI reflectance to nadir BRDF adjusted reflectance. Remote Sens. Environ. 2017, 199, 25-38. [CrossRef]

55 references, page 1 of 4
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