Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI)

Abstract

Interpretation of remote sensing reflectance from coastal waters at different wavelengths of light yields valuable information about water column constituents, which in turn, gives information on a variety of processes occurring in coastal waters, such as primary production, biogeochemical cycles, sediment transport, coastal erosion, and harmful algal blooms. The Hyperspectral Infrared Imager (HyspIRI) is well suited to produce global, seasonal maps and specialized observations of coastal ecosystems and to improve our understanding of how phytoplankton communities are spatially distributed and structured, and how they function in coastal and inland waters. This paper draws from previously published studies on high-resolution, hyperspectral remote sensing of coastal OPEN ACCESSRemote Sens. 2013, 5 6813 and inland waters and provides an overview of how the HyspIRI mission could enable the retrieval of new aquatic biophysical products or improve the retrieval accuracy of existing satellite-derived products (e.g., inherent optical properties, phytoplankton functional types, pigment composition, chlorophyll-a concentration, etc.). The intent of this paper is to introduce the development of the HyspIRI mission to the coastal and inland remote sensing community and to provide information regarding several potential data products that were not originally part of the HyspIRI mission objectives but could be applicable to research related to coastal and inland waters. Further work toward quantitatively determining the extent and quality of these products, given the instrument and mission characteristics, is recommended.

Characterization of Available Light for Seagrass and Patch Reef Productivity in Sugarloaf Key, Lower Florida Keys

“…Higher temporal resolution satellite sensors, with close to daily revisit times, may help improving these models by accounting for depth variations due to tides. In addition, higher spectral resolution satellite sensors can better "un-mix" optical signals in order to discriminate between oceanic and terrestrial organic matter sources, suspended materials, phytoplankton functional types, and shallow bottom types at different depths [86,87]. New satellite sensors expected to be launched in the next decade, including NASA's PACE, Geo-CAPE and HyspIRI missions, will better fulfill the need for higher spectral, spatial and temporal resolution measurements for coastal zones.…”

The impact of the microphysical properties of aerosol on the atmospheric correction of hyperspectral data in coastal waters

“…In case of spectral inversion procedures, a hyperspectral data set can facilitate a physics-based modelling approach to quantitatively retrieve multiple constituents of interest (e.g. SPM (suspended particulate matter), CDOM (coloured dissolved organic matter), and phytoplankton functional types) (Devred et al (2013) and references therein). Overall, hyperspectral remote sensing provides essential data to de-convolve the remotely sensed signal and, thence, to detect the water components that could be missed by multispectral instruments.…”

Decision Fusion Based on Hyperspectral and Multispectral Satellite Imagery for Accurate Forest Species Mapping

“…It is true that the currently only available spaceborne sensor (Hyperion) offers moderate spectral stability measurements [52], with some bands exhibiting high degree of noise and/or random stripes. Nevertheless, a number of spaceborne hyperspectral sensors will be available in the very near future [42][43][44], rendering the proposed methodology extremely useful for accurate and fast characterizations of large areas.…”

“…Presently, Hyperion [41] is the only spaceborne hyperspectral sensor, which was based on a very important but currently expired pilot mission. Nevertheless, a number of new missions designed to provide high quality hyperspectral satellite products have been programed for the near future, including EnMap [42], PRISMA [43], and HyspIRI [44]. To this end, the current proposal aims at proving a fast and reliable means for accurate forest species mapping in the foreseeable future, when new on-demand satellite hyperspectral products become available.…”