Landscape diversity indication from remote sensing data using open source software
| Main Author: | Tetyana Kuchma |
|---|---|
| Format: | Proceeding |
| Terbitan: |
, 2014
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1325155 |
Daftar Isi:
- The paper is focused on landscape diversity indication using remote sensing data and open RS/GIS software (BEAM Visat and QGIS), to make a contribution to solving the urgent problem of biodiversity loss. About hundred indexes for landscapes diversity assessment are developed and described in scientific literature, but they often give a different or even an opposite estimates of diversity. Thus there is a need for objective landscape diversity indication methods and tool, efficient for agricultural landscape structure monitoring. Of particular importance is also a way of grouping of structure elements (remote sensing data classification). This approach is based on remote sensing data processing using BEAM Visat software to determine the classes of agro landscape structure (land cover classes), and subsequent calculation of landscape metrics to select the most appropriate indexes for landscape diversity monitoring using QGIS and R software.