Use of the Ratio Threshold Classifier in Mapping Urban/non-urban Land Cover from Landsat MSS Imagery PDF Download
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Author: Steven Zachary Friedman
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 210
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Book Description
Author: Steven Zachary Friedman
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 210
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Cartography
Languages : en
Pages : 824
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Book Description
Author: Robert K. Holz
Publisher: John Wiley & Sons
ISBN:
Category : Science
Languages : en
Pages : 446
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Book Description
Author:
Publisher:
ISBN:
Category : Aerial photography in geography
Languages : en
Pages : 408
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Book Description
Author:
Publisher:
ISBN:
Category : Aerial photography in geography
Languages : en
Pages : 752
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Book Description
Author: John R. Jensen
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 406
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Book Description
Author: Ramiro Salcedo
Publisher:
ISBN:
Category : Aerial photography in regional planning
Languages : en
Pages : 188
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Book Description
Author: Dale M. Honeycutt
Publisher:
ISBN:
Category : Geographic information systems
Languages : en
Pages : 92
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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: Kent Lowell Simons
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 102
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Book Description
Detailed urban land cover maps are increasingly useful and important applications of remote sensing. Municipal agencies and others use land cover maps and data for numerous critical local planning and monitoring functions and for urban geographical research studies. Because of this, there is a demand for accurate urban land cover maps that can be produced quickly and economically. The availability of very high resolution multispectral imagery is an important factor in enabling such production, as the judicious selection of source imagery has a large impact on the resulting map products. Likewise, the implementation of appropriate digital image processing methods is crucial for deriving urban land cover maps of acceptable accuracy and cost. This study compared two common image classification algorithms using 2006 NAIP 1-meter GSD CIR images of Orem and Provo, Utah. The two classification procedures - conventional per-pixel supervised classification coupled with post-classification filtering, and object-based feature extraction - were compared for resulting accuracy and, in general terms, for their cost-effectiveness. Results demonstrated that object-based feature extraction has the potential to produce maps with better accuracy, but at a somewhat higher cost than per-pixel supervised classification. Classification errors and their probable causes are discussed; also a number of options for improving the classification accuracy are presented together with considerations of the potential costs involved. Although the ultimate goal of economical production of accurate urban land cover maps was not fully realized, this study nevertheless has established a cost containment baseline upon which methodological improvements can be built.
