Analysis of the Informativity of Big Satellite Precision-Farming Data Processing for Correcting Large-Scale Soil Maps
| Autor: | A. L. Kulyanitsa, P. V. Koroleva, D. I. Rukhovich, Ye. V. Vilchevskaya, N. V. Kalinina |
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| Rok vydání: | 2020 |
| Předmět: |
Soil map
business.industry Big data Land management Soil Science 04 agricultural and veterinary sciences 010501 environmental sciences 01 natural sciences Spatial heterogeneity 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Precision agriculture Soil fertility Arable land Scale (map) business Cartography 0105 earth and related environmental sciences Earth-Surface Processes |
| Zdroj: | Eurasian Soil Science. 53:1709-1725 |
| ISSN: | 1556-195X 1064-2293 |
| DOI: | 10.1134/s1064229320110083 |
| Popis: | Large-scale soil maps produced by research institutes for land management (GIPROZEM) are the main source of soil information on arable land in Russia. These maps date back to the 1960s–1990s. During the time that has passed since the last round of soil surveys, the development of precision farming has greatly increased the requirements for the accuracy of the maps. At present, archival soil maps require correction (verification, updating, detailing, and unification). It is suggested that the maps of stable intrafield heterogeneity (SIFH) of soil fertility based on the analysis of big remote sensing data can find application in modern agriculture. Such maps are created within the framework of the general concept of big data analysis, including big geodata and big agricultural data as its components. Comparative analysis of archival soil maps and the SIFH map for the territory of southern Russia attests to the great potential of SIFH maps for soil mapping. Missing soil polygons have been detected, the location of existing soil polygons has been refined, new soil units not marked on archival soil maps have been identified, and a plan for additional soil surveys within the framework of the data-driven geography concept has been worked out. The accuracy of the soil map has been improved to be applicable to state-of-the-art farming systems, including precision farming. A new source of information on the spatial heterogeneity of the soil cover and its fertility has appeared. |
| Databáze: | OpenAIRE |
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