Use of geospatial analysis methods in land management and cadastre

Myslyva, T., Belarusian State Agricultural Academy, Gorki, Mogilev reg.; Sheluto, B., Belarusian State Agricultural Academy, Gorki, Mogilev reg.; Kutsaeva, O., Belarusian State Agricultural Academy, Gorki, Mogilev reg.; Naskova, S., Belarusian State Agricultural Academy, Gorki, Mogilev reg.

Use of geospatial analysis methods in land management and cadastre

2018

Myslyva, T., Belarusian State Agricultural Academy, Gorki, Mogilev reg. (Belarus) | Sheluto, B., Belarusian State Agricultural Academy, Gorki, Mogilev reg. (Belarus) | Kutsaeva, O., Belarusian State Agricultural Academy, Gorki, Mogilev reg. (Belarus) | Naskova, S., Belarusian State Agricultural Academy, Gorki, Mogilev reg. (Belarus)

The possibilities of using the geospatial analysis methods for visualizing land monitoring data and modelling the spatial distribution of the main agrochemical soil indicators are discussed in the article. The research was conducted within the limits of land use of RUP “Uchkhoz BGSHA” (Republic of Belarus, Mogilev region, Goretsky district). The total area of the surveyed territory was 3187.0 hectares. The geospatial analysis of the spatial distribution of humus, mobile phosphorus, mobile potassium and pHKCl was carried out using the Geostatistical Analyst module of the ArcGIS software. Semivariograms were used as the main tool for studying the structure of the spatial distribution of agrochemical indicators. The exponential function was identified as the best variogram model, the type of the circle was standard, the type and the number of sectors was 4 with a displacement of 450, and the lag was 200 metres. The interpolation accuracy was determined from the mean error (ME), mean square error (RMSE) and standard error (RMSS). The universal kriging method was used to perform the forecast and visualize the spatial distribution of agrochemical indicators. The multivariate analysis was performed using the functionality of the Raster Calculator tool, Principal Component analysis and Maximum Likelihood Classification. The search and determination of areas of sites with the most optimal agrochemical indicators were carried out by the multifactor analysis in the GIS environment. Calculation of the area of each circuit within the limits of working parcels was carried out using the utility "Zone Statistics".

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Mots clés AGROVOC

agrochemicals belarus cadastre cadastres cartografia cartographie cartography catastros data analysis fosforo geografia geographical information systems geographie geography humus indicadores indicateur indicators land management latvia letonia lettonie ph phosphore phosphorus potasio potassium rural areas spatial analysis statistical methods zonas rurales zone rurale

Informations bibliographiques

Publié dans

Baltic surveying. International scientific journal (Latvia, Lithuania, Poland)

Volume 9 Numéro 2 ISSN 2255-999X

Pagination

p. 56−62

D'autres materias

Systeme d'information geographique; Gestion fonciere; Analyse de donnees; Ordenacion de tierras; Methode statistique; Metodos estadisticos; Sistemas de informacion geografica; Geospatial analysis; Analisis de datos

Langue

anglais

Note

Summary (En)

2 tables, 3 fig., 7 ref.

Type

Summary; Web Site; As

Sur AGRIS depuis: 2019-09-15

Format: AGRIS AP

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Cette notice bibliographique a été fournie par Fundamental Library of Latvia University of Life Sciences and Technologies

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