Mapping of the microrelief structures using multitemporal very high resolution Space imagery

Panidi, Evgeny; Sokolova, Julia; Trofimetz, Lubov; Kunaeva, Elena

doi:10.18509/agb.2016.11

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…1) as a referential dataset, to ensure visual interpretation and verification of the modern stream positions. As we recognized before, very high resolution satellite imagery collected in the spring (before the active vegetation growth) can show clearly the erosional network composed of modern streams [5], [6].…”

Section: Initial Datasupporting

confidence: 59%

Mapping of the Microrelief Structures Using Topographic Data

Panidi¹,

Trofimetz²,

Sokolova³

et al. 2017

AGB

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The paper describes case study, which we conducted using test area located in Central European Russia (Orel region, Suhaya Orlitsa river basin). The archived topographic (cartographic) data, data of topographic survey and satellite imagery were used as study materials. We have estimated the accuracies and limits of microrelief interpretation basing on the cartographic and survey materials. Derivative geomorphometric maps were used as enabling tool for interpretation of the microrelief strictures. Very high resolution space satellite imagery were used as reference data.

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Section: Initial Datasupporting

confidence: 59%

Mapping of the Microrelief Structures Using Topographic Data

Panidi¹,

Trofimetz²,

Sokolova³

et al. 2017

AGB

Self Cite

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“…Topographic survey or very high resolution satellite imagery collected in the spring season ( Fig. 1) allow to detect structure of the watershed surface and to allocate block elevations and interblock depressions (Panidi et al, 2016a(Panidi et al, , 2016b. Selection of reference plots in this case have to be carried out in two steps.…”

Section: Estimation Of Background Radioactivitymentioning

confidence: 99%

Large-Scale Indicative Mapping of Soil Runoff

Panidi

Trofimetz

Sokolova

et al. 2017

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

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ABSTRACT:In our study we estimate relationships between quantitative parameters of relief, soil runoff regime, and spatial distribution of radioactive pollutants in the soil. The study is conducted on the test arable area located in basin of the upper Oka River (Orel region, Russia). Previously we collected rich amount of soil samples, which make it possible to investigate redistribution of the Chernobyl-origin cesium-137 in soil material and as a consequence the soil runoff magnitude at sampling points. Currently we are describing and discussing the technique applied to large-scale mapping of the soil runoff. The technique is based upon the cesium-137 radioactivity measurement in the different relief structures. Key stages are the allocation of the places for soil sampling points (we used very high resolution space imagery as a supporting data); soil samples collection and analysis; cali bration of the mathematical model (using the estimated background value of the cesium-137 radioactivity); and automated compilation of the map (predictive map) of the studied territory (digital elevation model is used for this purpose, and cesium-137 radioactivity can be predicted using quantitative parameters of the relief). The maps can be used as a support data for precision agriculture and for recultivation or melioration purposes.

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Mapping of the microrelief structures using multitemporal very high resolution Space imagery

Cited by 2 publications

References 2 publications

Mapping of the Microrelief Structures Using Topographic Data

Mapping of the Microrelief Structures Using Topographic Data

Large-Scale Indicative Mapping of Soil Runoff

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