Environmental and technological limitations as an effective tool of land management rational use and protection of lands
TL;DR: In this article , the key role of establishing and observing ecological and technological restrictions in the use of arable land for ensuring rational agricultural land use and preserving the land-resource potential of rural areas is proven.
Abstract: The key role of establishing and observing ecological and
technological restrictions in the use of arable land for ensuring rational agricultural
land use and preserving the land-resource potential of rural areas is proven.
Methodical approaches to determining ecological and technological limitations in
the use of agricultural land are analyzed. Fragments of the classifier of types of
functional purpose of territories and types of functional purpose of territories and
their correlation with types of purposeful purpose of land plots are given.
The main characteristics of each level of ecological and technological
restrictions related to soil cultivation and sowing of agricultural crops are
highlighted. The need to establish ecological and technological restrictions on the
use of land at the legislative level by introducing a corresponding addition to Article
111 of the Land Code of Ukraine and the possibility of their practical implementation
on the basis of the classifier of types of functional purpose of territories developed by
the authors was substantiated. It is emphasized the need to introduce changes and additions to Appendix 6 of
the current State Land Cadastre Management Procedure regarding the
implementation of ecological and technological restrictions in the use of land, which
should be based on a 4-level classification in which certain ecological and
technological restrictions are associated with the corresponding type of functional
purpose cultivated agricultural areas.
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03 Mar 2021
TL;DR: In this paper, a fragment of 3-digit classification of agricultural lands is proposed, in which hierarchically placed interrelated indicators characterizing the legal regime of land use and their physical condition (physical block of land classifier) are placed hierarchically.
Abstract: The existing scientific and methodological approaches to the classification of agricultural lands both in Ukraine and abroad are analysed. It is established that modern classifications of lands should be formed based on such principles as complexity, exhaustiveness, hierarchy and legality; meet the requirements of automated technologies for maintaining the state land cadastre and land monitoring; take into account the recommendations of the European Economic Commission at the UN. Comprehensiveness of identifying of all potentially possible land uses, which will facilitate effective state control over land use in accordance with their intended purpose will be ensured through a comprehensive approach to the development of land classification; its consistency with other current state classification systems in the field of nature management and the use of clearly defined target criteria, parameters and features, the system of which is determined by the specific scope and requirements of the relevant user groups – through a systematic approach. A fragment of 3-digit classification of agricultural lands is proposed, in which hierarchically placed interrelated indicators characterizing the legal regime of land use (legal block of land classifier) and their physical condition (physical block of land classifier) are placed hierarchically. In order to legally consolidate the categories “type, subtype, variety of lands” that form the basis of the physical block of the land classifier, it is necessary to make appropriate changes to the national land legislation.
3 citations
23 Jun 2021
TL;DR: It is established that the existing 2-level Classification does not meet the modern requirements for monitoring land relations and the norms of current land legislation, and the structure and content of the 4-level Classifier of types of intended purposes of land use are proposed, which allows to determine the type of permitted land use.
Abstract: The analysis of the current Classification of types of intended purposes of land use is carried out. It is established that the existing 2-level Classification does not meet the modern requirements for monitoring land relations and the norms of current land legislation. The structure and content of the 4-level Classifier of typesof intended purposes of land use are proposed, which allows to determine in detail the type of permitted land use. It is established that the current classifier does not distinguish between the form of management and the type of land use. This issue is especially evident in the example of agricultural land, in which case the types of intended purposes indicate the legal form of landowner or user, rather than regulating the direct use of land. The proposed 4-level classifier is able to distinguish between the form of management and the type of land use. In forming this Classifier, the principles of complexity, systematicity, exhaustiveness, hierarchy and legality are taken into account; requirements of automated technologies for maintaining the State Land Cadastre and remote methods of land monitoring are considered, comprehensive and systematic methodological approaches in compliance with current domestic land legislation and relevant bylawsare applied; principles of openness and manufacturability, as well as recommendations of international organizationsare taken into account.
3 citations
01 Jan 2022
TL;DR: In this paper , the state of crops and their possible loss using remote sensing and artificial intelligence tools using both Sentinel-1 and Sentinel-2 satellite images data are monitored. But the results of the study are limited.
Abstract: SUMMARY The research is aimed at monitoring the state of crops and their possible loss using remote sensing and artificial intelligence tools. Using these tools in the research process, the following results were achieved: the boundaries of agricultural land arrays were determined; identified boundaries of crops and their areas under individual agricultural crops by vegetation phase; analysed volumes of cultivated areas, their structure in a territorial section. It is proved, that using both Sentinel-1 and Sentinel-2 satellite images data give more accurate results. Crop profiles are proven to be the key to improving the quality of crop classification results, as they allow algorithms to better distinguish between crops.
1 citations