Standardization of color visualization for geospatial data in agrochemical land passportization
DOI:
https://doi.org/10.31548/zemleustriy2026.03.011Keywords:
visualization standardization, geodatabase, agrochemical monitoring, reference color matrix, color spaces (RGB/CMYK/HEX), geoportal, QGIS Atlas, PyQGIS, mapping automation, style files (.qml), Cartographic Design SystemAbstract
The article considers the problem of standardizing the color visualization of geospatial data during the management of agrochemical land passportization databases for agricultural purpose, the development of thematic maps, electronic atlases, and the operation of geoportals. Discrepancies between traditional subtractive print color models (CMYK, Pantone) and digital additive display models (RGB, HEX), as well as design models (HSL/HSV), were analyzed. The necessity of transitioning from verbal color descriptions in regulatory documents to the creation of technical specifications and reference color matrices (Cartographic Design System) with dual encoding (sRGB for web services and Coated FOGRA39 for printing) is substantiated. This approach prevents oversaturated shades, reduces visual fatigue, and ensures compliance with contrast and accessibility standards (WCAG 2.1). In accordance with the approved "Methodology for Agrochemical Land Passportization", 6-level spectral scales of soil nutrient availability and 6-level spectral scales of soil contamination have been formalized.
Received: 12.08.2026;
Accepted: 30.08.2026;
References
1. Yatsuk, I. P., & Balyuk, S. A. (Eds.). (2019). Metodyka проведення agrokhimichnoi pasportyzatsii zemel silskohospodarskoho priznachennia: kerivnyi normatyvnyi dokument [Methodology of agrochemical soil passportization of agricultural land: guiding normative document] (2nd ed.). State Enterprise "State Soil Protection Service".
2. State Standard of Ukraine. (2016). Yakist hruntu. Dystantsine zonduvannya hruntiv. Kartohrafuvannya hruntovoho pokryvu metodom bahatospektralnoho skanuvannya [Soil quality. Remote sensing of soils. Soil cover mapping by multispectral scanning method] (DSTU 7849:2015). UkrNDNTs. Available at: https://online.budstandart.com/ua/catalog/doc-page?id_doc=62731
3. State Standard of Ukraine. (2005). Yakist hruntu. Pokaznyky rodyuchosti hruntiv [Soil quality. Soil fertility indices] (DSTU 4362:2004). Derzhspozhyvstandart Ukrainy. Available at: https://online.budstandart.com/ua/catalog/doc-page.html?id_doc=67099
4. State Standard of Ukraine. (1999). Hrunty. Klasyfikatsiya hruntiv za stupenem vtorynnoyi solontsuvatosti [Soils. Classification of soils by degree of secondary solonetzicity] (DSTU 3866-99). Derzhstandart Ukrainy. Available at: https://online.budstandart.com/ua/catalog/doc-page?id_doc=58934
5. State Standard of Ukraine. (2016). Yakist hruntu. Klasyfikatsiya hruntiv za stupenem vtorynnoyi zasolenosti [Soil quality. Classification of soils by degree of secondary salinity] (DSTU 7827:2015). UkrNDNTs. Available at: https://online.budstandart.com/ua/catalog/doc-page.html?id_doc=62382
6. Hospodarenko, H. M. (n.d.). Agrokhimichni kartohramy [Agrochemical cartograms]. Great Ukrainian Encyclopedia. Available at: https://vue.gov.ua/ Ahrokhimichni_kartohramy
7. European Commission. (2024). INSPIRE Data Specification on Soil – Technical Guidelines. Joint Research Centre. Available at: https://knowledge-base.inspire.ec.europa.eu/publications/inspire-data-specification-soil-technical-guidelines_en
8. Bocher, E., & Ertz, O. (2018). A redesign of OGC Symbology Encoding standard for sharing cartography. PeerJ Computer Science, 4, Article e143. https://doi.org/10.7717/peerj-cs.143
9. International Organization for Standardization. (2012). Geographic information — Classification systems — Part 2: Land Cover Meta Language (LCML) (ISO Standard No. 19144-2:2012). Food and Agriculture Organization. Available at: https://www.fao.org/geospatial/data-and-tools/international-standards/en
10. Lu, Y., Wang, X., Wang, M., Zhu, B., Zheng, M., Li, S., & Song, K. (2023). Soil color mapping based on Munsell system in the northeast of China. Geoderma, 439, Article 116669. https://doi.org/10.1016/j.geoderma.2023.116669
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