Optical remote sensing of chlorophyll a in case 2 waters by use of an adaptive two-band algorithm with optimal error properties.
نویسندگان
چکیده
Two-band algorithms that use the ratio of reflectances at 672 and 704 nm have already proved successful for chlorophyll a retrieval in a range of coastal and inland waters. An analysis of the effect of reflectance measurement errors on such algorithms is made. It provides important indications of the range of validity of these algorithms and motivates the development of an entirely new type of adaptive two-band algorithm for hyperspectral data, whereby the higher wavelength is chosen for each input spectrum individually. When one selects the wavelength at which reflectance is equal to the reflectance at the red chlorophyll a absorption peak, chlorophyll a retrieval becomes entirely insensitive to spectrally flat reflectance errors, which are typical of imperfect atmospheric correction, and is totally uncoupled from the retrieval or an estimation of backscatter. This new algorithm has been tested for Dutch inland and Belgian coastal waters.
منابع مشابه
Estimation of soil moisture using optical, thermal and radar Remote Sensing )Case Study: South of Tehran(
Traditional methods of field measurement of soil moisture in addition to the difficulty, the need for manpower and money and fail to take place on a large scale to be able to show moisture. Therefore, remote sensing has become a widespread use .Landsat 8 satellite data and Sentinel-1 radar satellite from Tehran were provided. 72 soil samples were taken at the same time by satellite passing from...
متن کاملAssessment of Chlorophyll-a Remote Sensing Algorithms in a Productive Tropical Estuarine-Lagoon System
Remote estimation of chlorophyll-a in turbid and productive estuaries is difficult due to the optical complexity of Case 2 waters. Although recent advances have been obtained with the use of empirical approaches for estimating chlorophyll-a in these environments, the understanding of the relationship between spectral reflectance and chlorophyll-a is based mainly on temperate and subtropical est...
متن کاملDetecting Surface Waters Using Data Fusion of Optical and Radar Remote Sensing Sensor
Identification and monitoring of surface water using remote sensing have become very important in recent decades due to its importance in human needs and political decisions. Therefore, surface water has been studied using remote sensing systems and Sentinel-1 and Sentinel-2 sensors in this study. In this paper, two data fusion approaches and decision fusion improve the accuracy of surface wate...
متن کاملScaling of coastal phytoplankton features by optical remote sensors: comparison with a regional ecosystem model
Different scales of hydrological and biological patterns of the Bay of Biscay are assessed using spaceborne and airborne optical remote sensing data, field measurements and a 3-dimensional biophysical model. If field measurements provide accurate values on the vertical dimension, ocean colour data offer frequent observations of surface biological patterns at various scales of major importance f...
متن کاملDetermining the extent of building destruction after an earthquake using satellite imagery and fuzzy logic (Case study of Sarpol-e-Zahab region)
Background and objective: Earthquake is one of the most destructive natural disasters. Earthquakes occur in urban areas, destroying buildings and injuring people living in them. Urban center buildings are among the features that are exposed to many hazards during an earthquake. One of the first measures taken after an earthquake is relief. Locating damaged buildings can speed up relief efforts....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Applied optics
دوره 40 21 شماره
صفحات -
تاریخ انتشار 2001