Remote sensing in the coastal and marine environment. Proceedings of the US North Atlantic Regional Workshop

Presentations were grouped in the following categories: (1) a technical orientation of Earth resources remote sensing including data sources and processing; (2) a review of the present status of remote sensing technology applicable to the coastal and marine environment; (3) a description of data and information needs of selected coastal and marine activities; and (4) an outline of plans for marine monitoring systems for the east coast and a concept for an east coast remote sensing facility. Also discussed were user needs and remote sensing potentials in the areas of coastal processes and management, commercial and recreational fisheries, and marine physical processes

Classification of Turbidity Levels in the Texas Marine Coastal Zone

.The unsupervised Iterative Self-Organizing Clustering System (ISOCLS) and the supervised Earth Resources Interactive Processing System (ERIPS) were used to detect, delineate and classify near-surface turbidity patterns in the Galveston and Trinity Bays, Texas and adjacent coastal waters. Data used in the analysis was ERTS-l Multispectral Scanner (MSS) digital data in the visible spectral bands from 0.5 to 1.1 micrometers, and related in situ water measurements. Theoretical considerations suggest that because solar radiation attenuates with water depth and water constituents as a function of wavelength, classification of turbidity levels based on spectral characteristics is a classification based on spectral signatures from varying water depths; that is, a classification of spatially different points. In classification of turbidity therefore, combinations of spectral radiance in several visible and near infrared bands should yield varying geographic patterns. An experiment was designed to 1) study turbidity classification utilizing ERTS-l multispectral scanner data, and 2) to calibrate spectral reflectance with turbidity levels. Preliminary results indicate theoretical and empirical compatibility in classification using a single channel of information and the potential for ground calibration of the ERTS-l multispectral scanner data measurement of turbidity. Additionally it was found that turbidity induces linearity in 2 channels for the distribution of water as a class and that the unsupervised IS0CL5 classification procedure handled the non Gaussian distribution better than the ERIP5 supervised technique of classification

Remote sensing in the coastal and marine environment. Proceedings of the US North Atlantic regional workshop, West Greenwich R.I. 30 May-1 June, 1979.

Presentations were grouped in the following categories: 1) a technical orientation of Earth resources remote sensing including data sources and processing; 2) a review of the present status of remote sensing technology applicable to the coastal and marine environment; 3) a description of data and information needs of selected coastal and marine activities; and 4) an outline of plans for marine monitoring systems for the E coast.-from STAR, 19(10), 198

Remote sensing in the coastal and marine environment: proceedings of the US North Atlantic Regional Workshop (1st) held at West Greenwich, Rhode Island on May 30-June 1, 1979

Invited presentations grouped in the following categories: 1) a technical orientation of earth resources remote sensing, including data sources and processing; 2) a review of the present status of remote sensing technology applicable to the coastal and marine environment; 3) a description of data and information needs of selected coastal and marine activities; and 4) an outline of plans for marine monitoring systems for the US E Coast and a concept for an E Coast remote sensing facility. -from US Govt Reports Announcements, 5, 198