Comparison of Landsat MSS and TM Data for Urban Land Use Classification

Comparison of Landsat MSS and TM Data for Urban Land Use Classification PDF Author:
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ISBN:
Category :
Languages : en
Pages :

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Comparison of Landsat MSS and TM Data for Urban Land Use Classification

Comparison of Landsat MSS and TM Data for Urban Land Use Classification PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Comparison of Landsat MSS and TM Data for Urban Land Use Classification

Comparison of Landsat MSS and TM Data for Urban Land Use Classification PDF Author: Siamak Khorram
Publisher:
ISBN:
Category : Land use, Urban
Languages : en
Pages : 46

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Comparison of Landsat MSS and TM Data for Urban Land Use Classification

Comparison of Landsat MSS and TM Data for Urban Land Use Classification PDF Author: Siamak Khorram
Publisher:
ISBN:
Category : Land use
Languages : en
Pages : 52

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Earth Resources

Earth Resources PDF Author:
Publisher:
ISBN:
Category : Astronautics in earth sciences
Languages : en
Pages : 758

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Digital and Visual Classification of Land Use/land Cover Using Landsat-MSS and High Altitude Photography Data

Digital and Visual Classification of Land Use/land Cover Using Landsat-MSS and High Altitude Photography Data PDF Author: Ramiro Salcedo
Publisher:
ISBN:
Category : Aerial photography in regional planning
Languages : en
Pages : 188

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Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports PDF Author:
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Category : Aeronautics
Languages : en
Pages : 1572

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Use of the Ratio Threshold Classifier in Mapping Urban/non-urban Land Cover from Landsat MSS Imagery

Use of the Ratio Threshold Classifier in Mapping Urban/non-urban Land Cover from Landsat MSS Imagery PDF Author: Steven Zachary Friedman
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 210

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Computers in Earth and Environmental Sciences

Computers in Earth and Environmental Sciences PDF Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0323886159
Category : Computers
Languages : en
Pages : 704

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Computers in Earth and Environmental Sciences: Artificial Intelligence and Advanced Technologies in Hazards and Risk Management addresses the need for a comprehensive book that focuses on multi-hazard assessments, natural and manmade hazards, and risk management using new methods and technologies that employ GIS, artificial intelligence, spatial modeling, machine learning tools and meta-heuristic techniques. The book is clearly organized into four parts that cover natural hazards, environmental hazards, advanced tools and technologies in risk management, and future challenges in computer applications to hazards and risk management. Researchers and professionals in Earth and Environmental Science who require the latest technologies and advances in hazards, remote sensing, geosciences, spatial modeling and machine learning will find this book to be an invaluable source of information on the latest tools and technologies available. Covers advanced tools and technologies in risk management of hazards in both the Earth and Environmental Sciences Details the benefits and applications of various technologies to assist researchers in choosing the most appropriate techniques for purpose Expansively covers specific future challenges in the use of computers in Earth and Environmental Science Includes case studies that detail the applications of the discussed technologies down to individual hazards

Quantitative Analysis of the Land Cover Classification of Merged Landsat-TM and Spot-MSS Data Using Supervised and Unsupervised Methods

Quantitative Analysis of the Land Cover Classification of Merged Landsat-TM and Spot-MSS Data Using Supervised and Unsupervised Methods PDF Author: Angel R. TerĂ¡n
Publisher:
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Category : Landsat satellites
Languages : en
Pages : 126

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Earth Resources: A Continuing Bibliography with Indexes (issue 61)

Earth Resources: A Continuing Bibliography with Indexes (issue 61) PDF Author:
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Category :
Languages : en
Pages : 178

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