Development of the methodology to update the information on a forest area using satellite imagery and small UAVs

Алешко, Роман Александрович; Alekseeva, A.A.; Shoshina, Kseniya; Богданов, А.П.; Guriev, A

doi:10.21046/2070-7401-2017-14-5-87-99

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…Имеются работы, посвященные дешифрированию видового состава лесов [66,71]. Определение отдельных технических параметров древостоев возможно, как при помощи лазерных сенсоров -лидарной съемки [87,103], так и съемок в оптическом диапазоне [2]. Важным ответвлением этой темы следует считать идентификацию болезней, биологических повреждений леса, сухостойных деревьев.…”

Section: рис 3 число научных публикаций (индексированных в Scopusunclassified

Development of geoinformation systems for environmental management and environmental safety in the areas of exploited oil deposits

Buzmakov¹,

Sannikov²,

Sivkov³

et al. 2021

ATN

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The state of environmental protection of natural environment from negative processes has become an integral part of sustainable mining. The analytical review shows the ways of geoinformation system’s preparing a to ensure environmental safety during oil mining process on protected areas. Obtainment information for geoinformation database is based on technologies of aerial remote sensing, experimental modeling of biotic reactions to the impact of technogenic factors by biotesting methods. The geoinformation system should perform observations, assessments, search and regulatory forecasts, based on digital technologies, and develop individual measures for the preservation and restoration of the natural environment. Environmental stresses are usually caused by halogenesis, bitumization, air pollution and mechanogenesis. The use of geoinformation systems to collect information about the state of the natural environment is an essential feature of sustainable mining. Multispectral and panchromatic aerial photography by unmanned aerial vehicle has been successfully used to assess pollution, land degradation, and the effectiveness of land restoration. It is important to develop an unmanned aerial sensing technique for areas, where oil fields and protected are located. Biotesting of the consequences of technogenic transformation of ecosystem components is significantly related to the choice of optimal test objects for conducting experiments. Soil contamination with oil and its processed products affects the condition of all components: plants, microorganisms. It is advisable to develop a methodology for determining the patterns and levels of impact of residual oil and technogenic brines on local natural objects, local soil and water ecosystems based on the results of biotesting. Development of regulations for standard measures for remediation of ecosystems at different levels of pollution, during bitumization, halogenesis of land and water objects. The review shows that there are technological possibilities for creating GIS for monitoring the quality of the natural environment and environmental safety in the areas of oil fields. Digital maps of soils, watersheds, natural and technical systems, the development of technogenic processes and measures to restore the natural environment, allow to provide spatial modeling of natural and technogenic processes. Environmental quality management during oil mining process remains an important goal of geoecological researches.

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Section: рис 3 число научных публикаций (индексированных в Scopusunclassified

Development of geoinformation systems for environmental management and environmental safety in the areas of exploited oil deposits

Buzmakov¹,

Sannikov²,

Sivkov³

et al. 2021

ATN

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“…Unfortunately, reliable statistics on boreal forest is not necessarily available and existing national scale forest statistics might be incomplete and inconsistent [14]. However, remote sensing systems have the potential to provide spatially distributed and temporally frequent data on forest cover, and offer great opportunities to better understand patterns, processes and underlying causes of forest cover change [1,12]. Using of multitemporal analysis of the normalized difference vegetation index (NDVI), the shortwave vegetation index (SWVI), the normalized burn ratio (NBR) and components of Tasseled Cap transformations is usual for assessment vegetation cover, but the spectral index values depend on the phenology of vegetation and climatic conditions [6,7].…”

Section: Introductionmentioning

confidence: 99%

Method for Transferring Non-Forest Cover to Forest Cover Land Using Landsat Imageries

Karpov¹,

Waske²

2020

Lesnoy Zhurnal (Forestry Journal)

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Satellite data becomes an important tool for monitoring global change in forest cover. Further development of remote sensing technologies creates opportunities for solving more complex problems requiring multi-time analysis of satellite data. Assessment of success reforestation after a disturbance in forest cover is such an important task. The traditional method of an assessment of successful reforestation is laying out the ground plots, which task requires significant time and resources. Fieldworks and transfer of land to forest cover land is carried out according to the method, which is developed by the Federal Agency for Forestry of Russia. This method has various criteria of success reforestation for every region. Arkhangelsk region, Vologda region and Republic of Karelia became the territories for research. Forest vegetation of this region belongs to the taiga zone and is divided into five groups: the area of pre-tundra forests and sparse taiga, northern taiga, middle taiga and south taiga. International forest classification relates this area to boreal forest. The task of transfer land to forest cover land can be optimized by using remote sensing data. This research shows analysis of recovery of the normalized difference vegetation index, the shortwave vegetation index and the normalized burn ratio in the framework of reforestation objects. Filed data was collected for every object and this data includes a number of young trees, average height and species composition. Processing of a considerable number of satellite imageries requires significant computing power because of the Google Earth Engine platform using for analysis data. The most suitable index was chosen in the analysis of the obtained data for the development of an automatic method for transfer land to forest cover land. The most suitable index for dividing lands on forest cover and nonforest cover lands is the shortwave vegetation index. Optimal threshold for transferring land is achievement of recovery index of 80 % from initial values before disturbance. The automatic method was developed using unsupervised classification and threshold values of recovery index.

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Development of the methodology to update the information on a forest area using satellite imagery and small UAVs

Cited by 2 publications

References 8 publications

Development of geoinformation systems for environmental management and environmental safety in the areas of exploited oil deposits

Development of geoinformation systems for environmental management and environmental safety in the areas of exploited oil deposits

Method for Transferring Non-Forest Cover to Forest Cover Land Using Landsat Imageries

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