MAPPING SECONDARY FOREST SUCCESSION ON ABANDONED AGRICULTURAL LAND IN THE POLISH CARPATHIANS
| Autor: | Achilleas Psomas, Jacek Kozak, Natalia Kolecka, Monika Dobosz, Ch. Ginzler, Dominik Kaim |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
LiDAR 010504 meteorology & atmospheric sciences 0211 other engineering and technologies Context (language use) Soil science 02 engineering and technology Land cover Ecological succession vegetation cover lcsh:Technology 01 natural sciences Agricultural land forest succession 021101 geological & geomatics engineering 0105 earth and related environmental sciences lcsh:T segmentation lcsh:TA1501-1820 Sampling (statistics) Ancillary data agricultural land abandonment Geography lcsh:TA1-2040 Remote sensing (archaeology) Secondary forest Physical geography vegetation height lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 931-935 (2016) |
| ISSN: | 2194-9034 |
| Popis: | Land abandonment and secondary forest succession have played a significant role in land cover changes and forest cover increase in mountain areas in Europe over the past several decades. Land abandonment can be easily observed in the field over small areas, but it is difficult to map over the large areas, e.g., with remote sensing, due to its subtle and spatially dispersed character. Our previous paper presented how the LiDAR (Light Detection and Ranging) and topographic data were used to detect secondary forest succession on abandoned land in one commune located in the Polish Carpathians by means of object-based image analysis (OBIA) and GIS (Kolecka et al., 2015). This paper proposes how the method can be applied to efficiently map secondary forest succession over the entire Polish Carpathians, incorporating spatial sampling strategy supported by various ancillary data. Here we discuss the methods of spatial sampling, its limitations and results in the context of future secondary forest succession modelling. |
| Databáze: | OpenAIRE |
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