Quantitative Land Suitability Mapping for Crop Cultivation
Developing the structure of geodatabase and knowledge base to provide quantitative mapping of land suitability for cultivation the main crops has been shown in the research. The general model and catalogs of knowledge base were designed that are structuring and formalizing information for creating t...
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| Format: | Article |
| Language: | English |
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University of Žilina
2018-09-01
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| Series: | Communications |
| Subjects: | |
| Online Access: | https://komunikacie.uniza.sk/artkey/csl-201803-0013_quantitative-land-suitability-mapping-for-crop-cultivation.php |
| _version_ | 1827967179702665216 |
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| author | Svitlana Kokhan Antonina Moskalenko Oleg Drozdivskyi |
| author_facet | Svitlana Kokhan Antonina Moskalenko Oleg Drozdivskyi |
| author_sort | Svitlana Kokhan |
| collection | DOAJ |
| description | Developing the structure of geodatabase and knowledge base to provide quantitative mapping of land suitability for cultivation the main crops has been shown in the research. The general model and catalogs of knowledge base were designed that are structuring and formalizing information for creating thematic and complex maps and geomodels.
The real world spatial problems give rise to multi-criteria decision-making based on geographical information systems (GIS). The GIS environment provides both aggregation and spatial analysis of various georeferenced data. In this paper, the two approaches of multi-criteria evaluation (MCE) are represented - overlaying with the AND operation and the lowest score assignment on one criterion. An example of multi-attribute decision analysis is done using criteria for the crop suitability assessment. A comparison of those two approaches has been made, based on results of the land-use suitability mapping for the study crops - winter wheat, sunflower and corn. The results demonstrated that at certain locations, a range of criteria values, according to the AND operations had the lower applicability and less flexibility than according to the second approach, based on the lowest score assignment on one criterion. Designed maps characterize the threshold status of the soil quality to provide yields of studied crops on certain areas.
A set of land suitability maps, designed as quantitative models of integration of environmental, soil and climatic conditions, would be very effective to manage the complex decisions under the crop cultivation. |
| first_indexed | 2024-04-09T18:01:23Z |
| format | Article |
| id | doaj.art-8954d0164c3c4c868031bf362c216bd1 |
| institution | Directory Open Access Journal |
| issn | 1335-4205 2585-7878 |
| language | English |
| last_indexed | 2024-04-09T18:01:23Z |
| publishDate | 2018-09-01 |
| publisher | University of Žilina |
| record_format | Article |
| series | Communications |
| spelling | doaj.art-8954d0164c3c4c868031bf362c216bd12023-04-14T06:31:45ZengUniversity of ŽilinaCommunications1335-42052585-78782018-09-01203778310.26552/com.C.2018.3.77-83csl-201803-0013Quantitative Land Suitability Mapping for Crop CultivationSvitlana Kokhan0Antonina Moskalenko1Oleg Drozdivskyi2Department of Geoinformatics and Aerospace Research of the Earth, National University of Life and Environmental Sciences of Ukraine, UkraineDepartment of Geoinformatics and Aerospace Research of the Earth, National University of Life and Environmental Sciences of Ukraine, UkraineDepartment of Geoinformatics and Aerospace Research of the Earth, National University of Life and Environmental Sciences of Ukraine, UkraineDeveloping the structure of geodatabase and knowledge base to provide quantitative mapping of land suitability for cultivation the main crops has been shown in the research. The general model and catalogs of knowledge base were designed that are structuring and formalizing information for creating thematic and complex maps and geomodels. The real world spatial problems give rise to multi-criteria decision-making based on geographical information systems (GIS). The GIS environment provides both aggregation and spatial analysis of various georeferenced data. In this paper, the two approaches of multi-criteria evaluation (MCE) are represented - overlaying with the AND operation and the lowest score assignment on one criterion. An example of multi-attribute decision analysis is done using criteria for the crop suitability assessment. A comparison of those two approaches has been made, based on results of the land-use suitability mapping for the study crops - winter wheat, sunflower and corn. The results demonstrated that at certain locations, a range of criteria values, according to the AND operations had the lower applicability and less flexibility than according to the second approach, based on the lowest score assignment on one criterion. Designed maps characterize the threshold status of the soil quality to provide yields of studied crops on certain areas. A set of land suitability maps, designed as quantitative models of integration of environmental, soil and climatic conditions, would be very effective to manage the complex decisions under the crop cultivation.https://komunikacie.uniza.sk/artkey/csl-201803-0013_quantitative-land-suitability-mapping-for-crop-cultivation.phpknowledge basegeodatabaseland suitabilitygeoinformation mapping |
| spellingShingle | Svitlana Kokhan Antonina Moskalenko Oleg Drozdivskyi Quantitative Land Suitability Mapping for Crop Cultivation Communications knowledge base geodatabase land suitability geoinformation mapping |
| title | Quantitative Land Suitability Mapping for Crop Cultivation |
| title_full | Quantitative Land Suitability Mapping for Crop Cultivation |
| title_fullStr | Quantitative Land Suitability Mapping for Crop Cultivation |
| title_full_unstemmed | Quantitative Land Suitability Mapping for Crop Cultivation |
| title_short | Quantitative Land Suitability Mapping for Crop Cultivation |
| title_sort | quantitative land suitability mapping for crop cultivation |
| topic | knowledge base geodatabase land suitability geoinformation mapping |
| url | https://komunikacie.uniza.sk/artkey/csl-201803-0013_quantitative-land-suitability-mapping-for-crop-cultivation.php |
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