ArticleEcological applications : a publication of the Ecological Society of America2018
Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.
Article in Ecological applications : a publication of the Ecological Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Advancements in Satellite Observations of Inland and Coastal Waters: Building Towards a Global Validation Network.Remote sensing · 2025Article
- Improving Estimates of Dissolved Organic Carbon (DOC) Concentration from In Situ Fluorescence Measurements across Estuaries and Coastal Wetlands.Environmental science & technology · 2024Article
- Participatory science methods to monitor water quality and ground truth remote sensing of the Chesapeake Bay.PloS one · 2024Article
- Merging of the Case 2 Regional Coast Colour and Maximum-Peak Height chlorophyll-a algorithms: validation and demonstration of satellite-derived retrievals across US lakes.Environmental monitoring and assessment · 2022Article
- A Semi-Supervised Reduced-Space Method for Hyperspectral Imaging Segmentation.Journal of imaging · 2021Article
- Integrating Inland and Coastal Water Quality Data for Actionable Knowledge.Remote sensing · 2021Article
- Priority list of biodiversity metrics to observe from space.Nature ecology & evolution · 2021Review
- First Evaluation of PRISMA Level 1 Data for Water Applications.Sensors (Basel, Switzerland) · 2020Article
- Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS).Sensors (Basel, Switzerland) · 2019Article
- Satellite Ocean Colour: Current Status and Future Perspective.Frontiers in Marine Science · 2019Article
- Atmospheric Correction of Satellite Ocean-Color Imagery During the PACE Era.Frontiers in earth science · 2019Article
- A Submerged Optical Fiber Ultrasonic Sensor Using Matched Fiber Bragg Gratings.Sensors (Basel, Switzerland) · 2018Article
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53 authors.
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Abstract
The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined specifications as H4 imaging. Enabling H4 imaging is vital for the conservation and management of global biodiversity and ecosystem services, including food provisioning and water security. An agile satellite in a 3-d repeat low-Earth orbit could sample 30-km swath images of several hundred coastal habitats daily. Nine H4 satellites would provide weekly coverage of global coastal zones. Such satellite constellations are now feasible and are used in various applications.
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