Mapping Forest Infrastructure – Comparing Different Data Acquisition Techniques


DOI: https://doi.org/10.15308/Sinteza-2020-53-58
Authors:
Ina Bikuvienė
Gintautas Mozgeris

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Keywords:
remote sensing, forest infrastructure, mapping, accuracy.


Abstract:
Forest resource information usually change over time, what is monitored by forest inventories using different methods. Forest infrastructures, such like roads, hydrographic network, other linear facilities are relatively stable in time. Nevertheless, conventional forest inventories in Lithuania map forest infrastructures every time the survey of forest resources takes place. Assuming, that different and rapidly developing forest stand inventory techniques are applied each time, there are significant changes in location of forest infrastructures observed. Repeated inventories of such objects usually assume increased inventory costs and introduce significant disorder when aiming for permanent forest management. This study investigates the opportunities of different data acquisition techniques for mapping relatively stable over time forest infrastructure objects. We compare classification and geometric accuracies of forest infrastructures achieved using (i) ground geodetic survey, (ii) available from state maintained geo-referenced background database, which has been created using interpretation of aerial images, (iii) extracted from 3D airborne laser scanning point clouds and (iv) very high-resolution World- View-1 satellite images. The key finding is that costly and time-consuming ground data collection approaches may be successfully substituted by remote sensing based data collection, which delivers compatible data contents for significantly lower costs.

CITATION:

IEEE format

I. Bikuvienė, G. Mozgeris, “Mapping Forest Infrastructure – Comparing Different Data Acquisition Techniques,” in Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2020, pp. 53-58. doi:10.15308/Sinteza-2020-53-58

APA format

Bikuvienė, I., Mozgeris, G. (2020). Mapping Forest Infrastructure – Comparing Different Data Acquisition Techniques. Paper presented at Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2020-53-58

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