DOI: 10.1016/j.jag.2014.01.018
Scopus记录号: 2-s2.0-84897485444
论文题名: High Nature Value farmland identification from satellite imagery, a comparison of two methodological approaches
作者: Hazeu G ; , Milenov P ; , Pedroli B ; , Samoungi V ; , Van Eupen M ; , Vassilev V
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 30, 期: 1 起始页码: 98
结束页码: 112
语种: 英语
英文关键词: Bulgaria
; HNV farmland
; Mapping
; Monitoring
; Netherlands
; Remote sensing
Scopus关键词: agricultural land
; bioclimatology
; land cover
; mapping
; remote sensing
; satellite imagery
; seasonal variation
; temporal variation
; Bulgaria
; Netherlands
英文摘要: While the identification of High Nature Value (HNV) farmland is possible using the different types of spatial information categories available at European scale, most data used is still too coarse and therefore only provides an approximate estimate of the presence of HNV farmland. This paper describes two promising methods using remote sensing - one for HNV farmland identification and one for change detection within HNV farmland. The performance of the two methods is demonstrated by detailed results for two case studies - the Netherlands for the HNV farmland identification, and Bulgaria for change detection within HNV farmland. An estimation of the presence of HNV farmland or of HNV farmland change can well be based on high-resolution satellite imagery, but the classification method must be adapted to regional characteristics such as field size and type of landscape. The temporal variability and bio-climatological characteristics across Europe do not allow for a simple European classification of HNV farmland. Also comparison between years is complicated because of the large impact of seasonal variation in the land cover expression and the complexity of the HNV farmland definitions. Although HNV farmland detection methods are promising, remote sensing alone does not yet provide the appropriate tools for adequate monitoring. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79768
Appears in Collections: 气候变化事实与影响
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作者单位: Alterra Wageningen UR, P.O. Box 47, 6700 AA Wageningen, Netherlands; Remote Sensing Application Centre ReSAC, Tzar Assen Str. 61, Sofia, Bulgaria
Recommended Citation:
Hazeu G,, Milenov P,, Pedroli B,et al. High Nature Value farmland identification from satellite imagery, a comparison of two methodological approaches[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,30(1)