PROVING THE CAPABILITY FOR LARGE SCALE REGIONAL LAND-COVER DATA PRODUCTION BY SELF-FUNDED COMMERCIAL OPERATORS
نویسندگان
چکیده
منابع مشابه
A Integrated Classifier for Large Regional-scale Land-cover Classifying
With a lot of successful applications of neural network-based classification, it has been recognized the classification can produce more accurate results than conventional approaches for remotely-sensed data. Although its training procedure is sensitive to the choice of initial network parameters and to over-fitting, the multilayer feed-forward networks trained by the back-propagation algorithm...
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Center for Environmental Remote Sensing (CEReS), Chiba University, Chiba, Japan; College of Geographical Science, Inner Mongolia Normal University, Huhhot, China; Geography Department, University of Jordan, Amman, Jordan; National Authority for Remote Sensing and Space Sciences (NARSS), Cairo, Egypt; School of Computer and Information Technology, Mongolian State University of Education, Ulaanba...
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We studied the land-cover data used by the regional climate model REMO and the land surface model JSBACH, for Finland and surrounding areas. To date, the land-cover data determining REMO’s surface parameterisations have originated from the Global Ecosystem classification of the Global Land Cover Characteristics (GLCC-GEC) database. The same database has also been used as basis for prescribed pl...
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Extensive changes in land cover during the 20th century are known to have had detrimental effects on biodiversity in rural landscapes, but the magnitude of change and their ecological effects are not well known on regional scales. We digitized historical maps from the beginning of the 20th century over a 1652 km(2) study area in southeastern Sweden, comparing it to modern-day land cover with a ...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2017
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-3-w2-209-2017