Artículos de revistas
Landsat-based remote sensing of the colored dissolved organic matter absorption coefficient in a tropical oligotrophic reservoir
Fecha
2018-01-01Registro en:
Remote Sensing Applications: Society and Environment, v. 9, p. 82-90.
2352-9385
10.1016/j.rsase.2017.12.004
2-s2.0-85044846800
6691310394410490
0000-0002-8077-2865
Autor
Universidade Estadual Paulista (Unesp)
Universidade Federal de Santa Catarina (UFSC)
INPE - National Institute for Space Research
Institución
Resumen
Colored dissolved organic matter (CDOM) is a photoactive fraction of organic carbon that can be detected via remotely sensed data (proximal and satellite). The retrieval of the absorption coefficient of CDOM (aCDOM) in reservoirs is important because it is related to the carbon budget and is a possible source of greenhouse gas that is emitted from aquatic ecosystems. In this context, we divided this study into three steps: (1) evaluating four retrieval algorithms for aquatic CDOM proposed for different types of waters; (2) recalibrating the algorithms using field data; and (3) adjusting new algorithms based on Landsat 5 TM bands. This research aimed to evaluate the use of Landsat 5 TM images for retrieving aCDOM in oligotrophic inland waters. The best performing model in the literature exhibited a normalized root mean square error (NRMSE) value of 29.5% and a mean absolute percentage error (MAPE) value of 25.4%, showing that some models proposed for marine water may be applied to specific inland waters. After recalibration, the best result was NRMSE = 29.9% and MAPE = 24.8%. The Landsat 5 TM bands yielded accurate results (NRMSE = 26.2% and MAPE = 33.6%), which indicated the potential for using Landsat data to monitor the bio-optical properties in inland waters.