High Nature Value farmland identification from satellite imagery, a comparison of two methodological approaches

摘要: While the identification of High Nature Value (HNV) farmland is possible using different types spatial information categories available at European scale, most data used still too coarse and therefore only provides an approximate estimate presence HNV farmland. This paper describes two promising methods remote sensing – one for change detection within The performance demonstrated by detailed results case studies Netherlands identification, Bulgaria An estimation or can well be based on high-resolution satellite imagery, but classification method must adapted to regional characteristics such as field size type landscape. temporal variability bio-climatological across Europe do not allow a simple Also comparison between years complicated because large impact seasonal variation in land cover expression complexity definitions. Although are promising, alone does yet provide appropriate tools adequate monitoring.