کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4459615 1621299 2010 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of shortwave infrared atmospheric correction for ocean color remote sensing of Chesapeake Bay
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Evaluation of shortwave infrared atmospheric correction for ocean color remote sensing of Chesapeake Bay
چکیده انگلیسی

The NASA Moderate Resolution Imaging Spectroradiometer onboard the Aqua platform (MODIS-Aqua) provides a viable data stream for operational water quality monitoring of Chesapeake Bay. Marine geophysical products from MODIS-Aqua depend on the efficacy of the atmospheric correction process, which can be problematic in coastal environments. The operational atmospheric correction algorithm for MODIS-Aqua requires an assumption of negligible near-infrared water-leaving radiance, nLw(NIR). This assumption progressively degrades with increasing turbidity and, as such, methods exist to account for non-negligible nLw(NIR) within the atmospheric correction process or to use alternate radiometric bands where the assumption is satisfied, such as those positioned within shortwave infrared (SWIR) region of the spectrum. We evaluated a decade-long time-series of nLw(λ) from MODIS-Aqua in Chesapeake Bay derived using NIR and SWIR bands for atmospheric correction. Low signal-to-noise ratios (SNR) for the SWIR bands of MODIS-Aqua added noise errors to the derived radiances, which produced broad, flat frequency distributions of nLw(λ) relative to those produced using the NIR bands. The SWIR approach produced an increased number of negative nLw(λ) and decreased sample size relative to the NIR approach. Revised vicarious calibration and regional tuning of the scheme to switch between the NIR and SWIR approaches may improve retrievals in Chesapeake Bay, however, poor SNR values for the MODIS-Aqua SWIR bands remain the primary deficiency of the SWIR-based atmospheric correction approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 114, Issue 10, 15 October 2010, Pages 2238–2247
نویسندگان
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