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Surface Reflectance Climate Data Records (CDRs) is a Reliable Landsat ETM+ Source to Study Chlorophyll Content in Pecan Orchards

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Abstract

We evaluated the relationships among three Landsat Enhanced Thematic Mapper (ETM+) datasets, top-of-atmosphere (TOA) reflectance, surface reflectance climate data records (surface reflectance-CDR) and atmospherically corrected images using Fast Line-of-Sight atmospheric analysis of Spectral Hypercubes model (surface reflectance-FLAASH) and their linkto pecan foliar chlorophyll content(chl-cont). Foliar chlorophyll content as determined with a SPAD meter, and remotely-sensed data were collected from two mature pecan orchards (one grown in a sandy loam and the other in clay loam soil) during the experimental period. Enhanced vegetation index derived from remotely sensed data was correlated to chl-cont. At both orchards, TOA reflectance was significantly lower than surface reflectance within the 550–2400 nm wavelength range. Reflectance from atmospherically corrected images (surface reflectance-CDR and surface reflectance-FLAASH) was similar in the shortwave infrared (SWIR: 1550–1750 and 2080–2350 nm) and statistically different in the visible (350–700 nm). Enhanced vegetation index derived from surface reflectance-CDR and surface reflectance-FLAASH had higher correlation with chl-cont than TOA. Accordingly, surface reflectance is an essential prerequisite for using Landsat ETM+  data and TOA reflectance could lead to miss-/or underestimate chl-cont in pecan orchards. Interestingly, the correlation comparisons (Williams t test) between surface reflectance-CDR and chl-cont was statistically similar to the correlation between chl-cont and commercial atmospheric correction model. Overall, surface reflectance-CDR, which is freely available from the earth explorer portal, is a reliable atmospherically corrected Landsat ETM+ image source to study foliar chlorophyll content in pecan orchards.

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Authors and Affiliations

  1. Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, USA

    Yahia Othman & Rolston St. Hilaire

  2. Department of Horticulture and Crop Science, University of Jordan, Amman, Jordan

    Yahia Othman

  3. Jornada Experimental Range, New Mexico State University, ARS–USDA, Las Cruces, NM, USA

    Caiti Steele

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  1. Yahia Othman
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  2. Caiti Steele
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  3. Rolston St. Hilaire
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Correspondence to Rolston St. Hilaire.

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Othman, Y., Steele, C. & St. Hilaire, R. Surface Reflectance Climate Data Records (CDRs) is a Reliable Landsat ETM+ Source to Study Chlorophyll Content in Pecan Orchards. J Indian Soc Remote Sens 46, 211–218 (2018). https://doi.org/10.1007/s12524-017-0690-x

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  • DOI: https://doi.org/10.1007/s12524-017-0690-x

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