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The National Agricultural Library is one of four national libraries of the United States, with locations in Beltsville, Maryland and Washington, D.C. It houses one of the world's largest and most accessible agricultural information collections and serves as the nexus for a national network of state land-grant and U.S. Department of Agriculture field libraries. In fiscal year 2011 (Oct 2010 through Sept 2011) NAL delivered more than 100 million direct customer service transactions.

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Journal Article

Journal Article

Remote Sensing Classification of Marsh Wetland with Different Resolution Images  [2016]

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Successful biological monitoring depends on judicious classification. An attempt has been made to provide an overview of important characteristics of marsh wetland. Classification was used to describe ecosystems and land cover patterns. Different spatial resolution images show different landscape characteristics. Several classification images were used to map and monitor wetland ecosystems of Honghe National Nature Reserve (HNNR) at a plant community scale. HNNR is a typical inland wetland and fresh water ecosystem in the North Temperate Zone. SPOT-5 10 m × 10 m, 20 m × 20 m, and 30 m × 30 m images and Landsat -5 Thematic Mapper (TM) images were used to classify based on maximum likelihood classification (MLC) algorithms. In order to validate the precision of the classifications, this study used aerial photography classification maps as training samples because of their high accuracy. The accuracy of the derived classes was assessed with the discrete multivariate technique called KAPPA accuracy. The results indicate: (1) training samples are important to classification results. (2) Image classification accuracy is always affected by areal fraction and aggregation degree as well as by diversities and patch shape. (3) The core zone area is protected better than buffer zone and experimental zone wetland. The experimental zone degrades fast because of irrational development by humans.
From the journal
Journal of resources and ecology
ISSN : 1674-764X

Bibliographic information

Language:
English
Type:
Journal Article
In AGRIS since:
2016
Volume:
7
Issue:
2
Start Page:
107
End Page:
114
Publisher:
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
All titles:
"Remote Sensing Classification of Marsh Wetland with Different Resolution Images"@eng
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Bibliographic information

Language:
English
Type:
Journal Article
In AGRIS since:
2016
Volume:
7
Issue:
2
Start Page:
107
End Page:
114
Publisher:
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
All titles:
"Remote Sensing Classification of Marsh Wetland with Different Resolution Images"@eng