Совмещение данных MODIS-Aqua и Sentinel-2: Применение к оптически мелким водам озера Мичиган
Аннотация
Разработан инструмент для совмещения данных двух спутниковых датчиков цвета океана (ЦО), один из которых имеет более высокое пространственное разрешение, а другой – более высокое спектральное разрешение. В результате создается изображение имеющее одновременно высокое пространственное и спектральное разрешение. Разработанный алгоритм совмещения данных использует аппарат искусственных нейронных сетей (ИНС), позволяющий устанавливать функциональную зависимость между входными и выходными данными, в качестве которых выступают значения радиационного сигнала, регистрируемого датчиком высокого пространственного разрешения в его спектральных каналах, со значениями радиационного сигнала, регистрируемых датчиком высокого спектрального разрешения в своих спектральных каналах. Эффективность разработанного ИНС алгоритма демонстрируется для озера Мичиган с использованием спектральных данных многоспектрального прибора (MSI) Sentinel2 и спектрорадиометра среднего разрешения (MODIS) MODIS-Aqua. Разработанный инструмент совмещения данных ЦО не зависит от конкретного сочетания датчиков ЦО и может сочетаться с различными алгоритмами восстановления искомых биогеохимических параметров. В случае восстановления параметров качества воды (ПКВ) в оптически мелких водах применение разработанного инструмента совмещения ОК данных особенно эффективно поскольку отражательные характеристики донного покрытия могут иметь высокую пространственную изменчивость. Для восстановления из совмещенных данных ЦО значений ПКВ в оптически мелких водах использовался разработанный нами специальный алгоритм BOREALI-OSW, который позволяет на количественном уровне получать информацию не только по ПКВ, но и характере донного покрытия. Эти возможности продемонстрированы на примере исследований восточного побережья озера Мичиган, в ходе которых была документирована внутригодовая динамика значений ПКВ и выявлена пространственная неоднородность донного субстрата в этой мелководной части водоема.
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Zimmermann H. J. Fuzzy Set Theory. Boston, MA: Kluwer Academic Publishers, 2001.
DOI: http://dx.doi.org/10.17076/lim692
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