Outer Darwin Harbour Shallow Water Sediment Survey 2016

Outer Darwin Harbour Shallow Water Sediment Survey 2016
Author: Lynda Radke
Publisher:
Total Pages: 77
Release: 2017
Genre: Benthos
ISBN: 9781925297430

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"A benthic sediment sampling survey (GA0356) to the nearshore areas of outer Darwin Harbour was undertaken in the period from 03 July to 14 September 2016. Partners involved in the survey included Geoscience Australia (GA), the Australian Institute of Marine Science (AIMS) and the Department of Environment and Natural Resources within the Northern Territory Government (NT DENR) (formerly the Department of Land and Resource Management (DLRM)). This survey forms part of a four year (2014-2018) science program aimed at improving knowledge about the marine environments in the regions around Darwin and Bynoe Harbours through the collection and collation of baseline data that will enable the creation of thematic habitat maps to underpin marine resource management decisions." -- Online abstract.

Benthic Sediment Surveys of Inner Darwin Harbour and Shallow Water Areas in and Around Bynoe Harbour (2017)

Benthic Sediment Surveys of Inner Darwin Harbour and Shallow Water Areas in and Around Bynoe Harbour (2017)
Author: Lynda Radke
Publisher:
Total Pages: 135
Release: 2018
Genre: Benthos
ISBN:

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"Benthic sediment sampling surveys in inner Darwin Harbour (GA0358) and shallow water areas in and around Bynoe Harbour (GA059) were undertaken in the period from 29 May to 16 August 2017. Partners involved in the surveys included Geoscience Australia (GA), the Australian Institute of Marine Science (AIMS) and the Department of Environment and Natural Resources within the Northern Territory Government (NT DENR) (formerly the Department of Land and Resource Management (DLRM)). These surveys forms part of a four year (2014-2018) science program aimed at improving knowledge about the marine environments in the regions around Darwin and Bynoe harbour's through the collection and collation of baseline data that will enable the creation of thematic habitat maps to underpin marine resource management decisions. ..." -- Online abstract.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
Author: Hyung-Sup Jung
Publisher: MDPI
Total Pages: 438
Release: 2019-09-03
Genre: Technology & Engineering
ISBN: 303921215X

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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Baseline Sediment Analysis

Baseline Sediment Analysis
Author: A. F. Neilsen
Publisher:
Total Pages: 9
Release: 1999
Genre: Particle size determination
ISBN:

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