Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 2, pp. 195-205
Utilizing satellite data for preliminary assessment of environmental changes in the proposed construction area of Nizhneboguchanskoe Reservoir
1 Water Problems Institute RAS, Moscow, Russia
Accepted: 14.02.2017
DOI: 10.21046/2070-7401-2017-14-2-195-205
The paper discusses the expediency and effectiveness of using high resolution remote sensing data to assess the ecological and social consequences of new reservoir construction at the regional level. Space-based information is shown to play a significant role in the formation of a database for large scale pre-project survey of the terrain to be flooded. The study has been carried out for the future bed area of Nizhneboguchanskoe Reservoir on the Angara River planned to be flooded in 2022.
Since the region is difficult to access, the possibilities of its systematic hydrological, geo-morphological, ecological and geographical surveys are limited. The lack of field observation data makes it difficult to establish the relationships between the ecosystem components and the future reservoir in full measure. Therefore it is necessary to attract additional sources of information, especially remote sensing and mapping, to assess the impact of the reservoir on the territory transformation.
The study was performed using Map 2011 GIS for creating and editing of digital maps, remote sensing data processing, obtaining synthesized images for updating topographic maps and detailed elaboration of their content as well as identification of areas with direct and indirect effect of the reservoir on natural and social objects. The areas of the objects to be flooded were estimated. Digital topographic 1:1000000, 1:20000, and 1:50000 scale maps of and also Landsat-7 and IKONOS satellite 2014 data were used as source materials.
The obtained results, considered as an initial contribution to the monitoring database of the planned reservoir, contain information on the condition of natural-territorial complexes in the zone to be flooded and can be used in the future to study their transformation at different stages of reservoir formation.
Keywords: remote sensing methods, mapping, reservoir, monitoring, ecological condition, flooding zone, zone of influence
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