Mapping of arable land in Russia using multi-year time series of MODIS data and the LAGMA classification technique

Барталев, С.А.; Плотников, Д.Е.; Loupian, Е.А.

doi:10.1080/2150704x.2015.1130874

Cited by 47 publications

(16 citation statements)

References 11 publications

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“…The pine, larch, broadleaved deciduous, stone birch, dwarf pine birch-aspen, and mixed forest categories were identified in this map; however, it does not allow analyzing the vegetation changes, which is the object of our study. Note that the problems of adaptation of spectral satellite images with specific Russian vegetation types were discussed in References [27][28][29][30][31][32]. As an example, the comparison between the spatial distribution of vegetation of MCD12C1 (2018) land cover and the spatial forest distribution of the Russian Forest (2004) map is presented in Figure 2.…”

Section: The Mcd12c1 Land-cover Mapmentioning

confidence: 99%

Effects of Climatic Warming and Wildfires on Recent Vegetation Changes in the Lake Baikal Basin

Safronov

2020

Climate

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The vegetation changes in the area of the Russian part of the Lake Baikal water basin for the period 2010–2018 were investigated using MCD12C1 land cover. The decline in swamp systems area began in 2012 and continued until 2015, after which it partially recovered during the heavy rain season in 2018. During the period of 2010–2018, the area covered by forests did not exceed 20.3% of the Baikal basin of the total portion of the Baikal basin under study. Deforestation began in 2013 and continued until 2017. Over 2013–2018, the forest level decreased by 12.1% compared to the forest state in 2013. The analysis of summer rainfalls and aridity indexes was performed by using CRU TS and GPCC climatic datasets. It is shown that the interannual variations of precipitation and aridity changes are determined by the variability of the global circulation of moist air masses. The MCD64A1 (burned area) and MCD14ML (active fires) MODIS products were used for investigation of the influence of wildfires on vegetation changes. The spatial hotspot distributions and burned areas in general correspond to aridity zones, but they cannot explain the 20-fold increase in the number of wildfires. Most of the hotspot locations are away from settlements, roads, and loggings, in difficult-to-access mountainous areas, as well as in the low-inhabited areas of Siberia. We assume that the nature of such ignitions includes dry thunderstorms, pyrocumulus lightning, or remote impact.

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Section: The Mcd12c1 Land-cover Mapmentioning

confidence: 99%

Effects of Climatic Warming and Wildfires on Recent Vegetation Changes in the Lake Baikal Basin

Safronov

2020

Climate

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“…The developed methods of various research teams allow to minimize the cost of effective land use and obtaining quality products [5,6,7,8,9].…”

Section: Research Tasksmentioning

confidence: 99%

The Effectiveness of Digital Technologies in Soil Cover Monitoring

Shayakhmetov¹,

Gindemit²,

Kashkina³

et al. 2020

Proceedings of the Ecological-Socio-Economic Systems: Models of Competition and Cooperation (ESES 2019)

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In this paper, the current state of the soil cover on the basis of remote sensing materials of the Earth on the example of Shcherbakinsky rural settlement of Sargatsky district of Omsk region was studied. The studied area is located in the forest-steppe zone of Western Siberia. In the paper multispectral images of the space vehicle (SV) Landsat 8 (USA), with a resolution of 30 m per pixel was used. These images allow monitoring of the Earth's surface at intervals of once every 16 days with an approach area of 185 km in nadir. Computer processing of a series of multispectral space images (MSI) by synthesis method was carried out using the licensed software package ENVI 5.0. (manufactured by ESRI). The work used outdated cartographic materials of 1984, obtained in the Department of Agriculture of the Sargat District. When creating the electronic cartographicdocument of the studied area (based on satellite data), the digital basis of agricultural lands was initially created. Digitization of obsolete material was carried out in the software package QGis (QGIS Desktop). For the first time for the territory of the forest-steppe zone of Western Siberia with the use of different-time images by a space vehicle LANDSAT 8, the spatial-temporal change in the structure of agricultural lands over the past twenty-five years was revealed. The work was carried out in the framework of research commissioned by the Ministry of Agriculture and Food of the Omsk Region: "Development and technology implementation for the introduction of unused land in the Omsk region".

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“…VEGA family of services (VEGA, 2017) currently has a welldeveloped methodological and SW base (see, for example, (Egorov et al, 2006;Bartalev et al, 2015a;Bartalev et al, 2015b;Bartalev et al, 2016). It makes possible to restore the characteristics of the state of forest cover from EO data.…”

Section: Potential Possibilities Of Vega Satellite Services For Direcmentioning

confidence: 99%

Geoinformation Tools Providing Estimations of Vegetation Areal Damages Caused by Wild Fire Disasters

Savorskiy

Bartalev

Kashnitskiy

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> The object of this work is to develop web tools, which provide remote services necessary for disaster management purposes in domain of satellite Earth observation (EO) of vegetation areal, primarily forest or agricultural areas damaged by wild fires. The main idea for application of developed web tools is to provide targeted users with estimation instrument that allows not only to predict future or to detect existed perturbations in vegetation canopy but to estimate damage extent caused by disasters as well. To estimate damage extent of future possible disaster the developed services use historical data on vegetation canopy parameter both with hydrometeorology data on current weather conditions. Specialized EO data routines produce a set of products, which are required to make reliable prediction of possible damage extent subject to current weather conditions. In addition, the tools for estimation consequences of actual disaster event in vegetation areal are developed. In this case, special service compares actual state of vegetation canopy, which is retrieved from actual EO information, with historical information, which is extracted from special database that contains information on vegetation canopy status immediately before disaster event. This comparison allows not only to estimate the extent of actual damage but also to forecast disaster effects on future consequences, i.e. to estimate finally expected damage extent. Developed tools incorporate both forecasting and nowcasting possibilities to estimate damage extents. All necessary supporting services are implemented in active satellite data information system (IS) incorporated with long-term EO data archive. This incorporation allows upgrading possibilities of information system in disaster management support, namely in fast and reliable estimation of current and eventual damages.</p>

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Mapping of arable land in Russia using multi-year time series of MODIS data and the LAGMA classification technique

Cited by 47 publications

References 11 publications

Effects of Climatic Warming and Wildfires on Recent Vegetation Changes in the Lake Baikal Basin

Effects of Climatic Warming and Wildfires on Recent Vegetation Changes in the Lake Baikal Basin

The Effectiveness of Digital Technologies in Soil Cover Monitoring

Geoinformation Tools Providing Estimations of Vegetation Areal Damages Caused by Wild Fire Disasters

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