2021-09-30, 10:30–11:00, Academic
Open data and Open-source tools are widely and globally used in the activities of research institutions. Particularity of scientific projects at the Center for Forest Ecology and Productivity of the Russian Academy of Sciences (CEPF RAS) includes ecology and productivity of forests in Russia. In order to emphasize and to develop the ecosystem functions, resources and environmental potential of Russian forests the Center uses geoinformational and remote sensing methods and tools. Logistically complex and economically costly ground access to the forest fires and forest resources is the specific feature of Russian forest domain. Open Data and Open Source tools have an essential methodological, technological meaning, as well as a potential for the forestry challenges in the country. We present an Open GeoData and Open Source GIS’s experience of ongoing activities devoted to the transport modelling (transport accessibility in the forests and emission of carbon dioxide). An “Open”-research direction extends the activities of the “Transportation Task” group by implementing OSM and QGIS with its plugins. CEPF popularizes Open data and Open Source in their geo-applications by giving lectures and publishing papers in the “Forest Science Issues” interdisciplinary journal.
Key model areas in Russia are the following: Nizhegorodskaia oblast (region), Krasnoyarsk Region, Irkutsk and Novosibirsk Regions, and Siberian Federal District. The majority of them has a constant and severe forest fire activity and other challenges related to the forests. Thus, the corresponding environmental problems require urgent solutions.
We present an overview and Open GeoData and Open Source GIS’s experience of ongoing activities of the Center’s interdisciplinary research group (combining colleagues with biological and geoinformational background) and the Laboratory of Forest
Ecosystems Monitoring. An “Open”-research direction extends the activities of the “Transportation Task” group (http://cepl.rssi.ru/en/transport-modeling/; A - Podolskaia et al, 2020) by implementing OSM and QGIS with its plugins. Within the scope of new tasks, we estimate existing transport systems consisting of public and
forest roads and giving recommendations for the possible future forest
infrastructure. By analyzing forest resources’ accessibility, which takes
into account types and conditions of roads, time and speed of traffic along the roads, length of ground routes, as
well as location of logistic centers and other related parameters we
propose some solutions of
forest management, or scenarios at the regional scale of the Russian regions.
leading researcher, PhD
Laboratory of Forest Ecosystems Monitoring
Center for Forest Ecology and Productivity of the Russian Academy of Sciences (CEPF RAS)
Profsoyuznaya st. 84/32 bldg. 14
117997 Moscow, Russian Federation
General knowledge about forestry domain, QGIS software and Open Data like OSMTrack –
2 - Basic. General basic knowledge is required.Language of the Presentation –