Абстракт
The paper proposes a regression method for correcting standard chlorophyll a concentration data of the MODIS-Aqua satellite sensor for the Black Sea. Regression coefficients are obtained by comparing satellite and contact measurements for the northeastern Black Sea for 2006-2017. Two formulas for satellite data correction are considered: linear and logarithmic. The resulting estimation error in both cases was 0.1 mg/m3in the concentration range up to 1 mg/m3. The reasons of possible difference of satellite and contact measurements related to spatial inhomogeneity of chlorophyll a concentration on scale of about 1 km (area of averaging of satellite sensor), nonsynchronous measurements leading to displacement of spatial structures in presence of currents, as well as with possible change of chlorophyll a concentration with depth in the zone of signal formation of optical radiometers (~0-10 m) are considered. © 2020 Space Research Institute of the Russian Academy of Sciences. All rights reserved.
Ключевые слова
ХЛОРОФИЛЛ, ДИСТАНЦИОННОЕ ЗОНДИРОВАНИЕ, КОНТАКТНЫЕ ДАННЫЕ, РЕГИОНАЛЬНЫЙ АЛГОРИТМ, ЧЁРНОЕ МОРЕ, CHLOROPHYLL, REMOTE SENSING, IN SITU DATA, REGIONAL ALGORITHM, BLACK SEA