Application of phyto-indication and radiocesium indicative methods for microrelief mapping

Panidi, Evgeny; Trofimetz, Lubov; Sokolova, Julia

doi:10.1088/1755-1315/34/1/012024

Cited by 10 publications

(10 citation statements)

References 2 publications

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“…4) with the radioactivity estimated using equations for the thalwegs of microravines with catchment area up to 30000 sq. m (Panidi et al, 2016c). The comparison demonstrated overestimations from 20% (for flushing areas) to 44% (for accumulation areas), when the radioactivity in the streambeds of modern streams is estimated using equation designed for ancient microravines.…”

Section: Estimation Of Soil Runoff In Modern Streambedsmentioning

confidence: 96%

“…Moreover, modern streams (which run in the periods of snowmelt and rainfall) are not reflected on the maps. These streams have the lengths comparable to microravines, but are not coincide with thalwegs of microravines (Trofimetz, Panidi, 2015;Panidi et al, 2016c). After spring, ploughing thalwegs of the modern streams are well recognized visually on the slope surface, while ancient microravines are not.…”

Section: Introductionmentioning

confidence: 94%

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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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Section: Estimation Of Soil Runoff In Modern Streambedsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 94%

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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“…Most models of soil runoff and redistribution use relief data to estimate impact of erosional network [7], [8], [9]. At the microrelief scale, erosional network is composed of ancient ravines (eroded landforms, which are easily interpreted on maps) and modern streams (young erosional landforms, which are hard for interpretation because of absence of the eroded ravine) [7], [9].…”

Section: Used Approach and Datamentioning

confidence: 99%

“…At the microrelief scale, erosional network is composed of ancient ravines (eroded landforms, which are easily interpreted on maps) and modern streams (young erosional landforms, which are hard for interpretation because of absence of the eroded ravine) [7], [9]. While modern streams produce significant erosional impact [9], the issue of interpretation of these erosional structures has great value when modeling at large scale.…”

Section: Used Approach and Datamentioning

confidence: 99%

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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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