Spatial Generalization of Thematic Maps Derived from Satellite Imagery for Operational Land Cover Mapping PDF Download
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Author: S. Goffredo
Publisher:
ISBN:
Category : Artificial satellites in surveying
Languages : en
Pages : 14
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Book Description
Author: S. Goffredo
Publisher:
ISBN:
Category : Artificial satellites in surveying
Languages : en
Pages : 14
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Book Description
Author: J. Denègre
Publisher: Elsevier
ISBN: 1483101533
Category : Science
Languages : en
Pages : 342
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Book Description
Thematic Mapping from Satellite Imagery: A Guidebook discusses methods in producing maps using satellite images. The book is comprised of five chapters; each chapter covers one stage of the process. Chapter 1 tackles the satellite remote sensing imaging and its cartographic significance. Chapter 2 discusses the production processes for extracting information from satellite data. The next chapter covers the methods for combining satellite-derived information with that obtained from conventional sources. Chapter 4 deals with design and semiology for cartographic representation, and Chapter 5 presents examples of applications. The book will be of great use to cartographers who want to utilize satellite imaging in generating a map.
Author: J. S. Stewart
Publisher:
ISBN:
Category : Artificial satellites in geographical research
Languages : en
Pages : 28
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Book Description
Author: Prithvish Nag
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 290
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Book Description
Festschrift honoring G.K. Dutt, b. 1929, geographer from India; comprises contributed articles in the Indian context.
Author: Maria I. Martinez
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Thematic maps derived from remote sensing imagery is increasingly being used in environmental and ecological modeling. Spatial information in these maps however is not free of error. Different methodologies such as error matrices are used to assess the accuracy of the spatial information. However, most of the methods commonly used for describing the accuracy assessment of thematic data fail to describe spatial differences of the accuracy across an area of interest. This thesis describes the use of indicator kriging as a geostatistical method for mapping the spatial accuracy of thematic maps. The method is illustrated by constructing accuracy maps for the forest land-cover classes in the 2001 National Land Cover Dataset (NLCD) extent covering the conterminous United States. Independent reference data collected for the accuracy assessment of the 2001 NCLD was used. This thesis also describes the use of indicator cokriging for improving the thematic accuracy of the forest land-cover classes by adding information from other land-cover classes as additional variables. Finally, probability surfaces resulted from indicator kriging and indicator cokriging will be used to generate alternate realizations of the forest land-cover class through stochastic simulation. Such realizations could serve as input parameters to spatially explicit models. Result show how thematic accuracy varies across regions and it outlines differences between land-cover estimates by NLCD and those created through indicator kriging.
Author: Michael J. Bueno
Publisher:
ISBN:
Category :
Languages : en
Pages : 84
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Book Description
Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 28
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Book Description
Author: Food and Agriculture Organization of the United Nations
Publisher: Food & Agriculture Org.
ISBN: 9251345600
Category : Law
Languages : en
Pages : 58
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Book Description
Land cover assessment and monitoring of its dynamics are essential requirements for the sustainable management of natural resources, environmental protection, food security, humanitarian programmes as well as core data for monitoring and modelling. Land Cover (LC) data are therefore fundamental in fulfilling the mandates of many United Nations (UN), international and national institutions and programmes. Despite the recognition of such importance, current users of LC data still lack access to sufficient reliable or comparable baseline LC data. These data are essential to tackle the increasing concerns in regard to food security, environmental degradation, and climate change. Critically, maintaining and restoring land resources plays a vital task in tackling climate change, securing biodiversity, and maintaining crucial ecosystem services, while ensuring resilient livelihoods and food security.
Author: Hamid Reza Pourghasemi
Publisher: Elsevier
ISBN: 0128156953
Category : Mathematics
Languages : en
Pages : 798
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Book Description
Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example
Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 900
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Book Description
