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Enregistrement W4405035103 · doi:10.26565/2075-1893-2023-37-01

Monitoring of land use by Ukrainian territorial communities in the conditions of martial law

2023· article· en· W4405035103 sur OpenAlexaboutno aff
Natalia Bubyr, Yuliia Prasul, Dariia Bachurina

Notice bibliographique

RevueGeographical Education and Cartography · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLand Use and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésUkrainianMartial lawPolitical scienceLawGeographyLinguisticsPolitics

Résumé

récupéré en direct d'OpenAlex

The purpose of this article. The purpose of the article is to show the importance and determine the priority directions for land use monitoring by Ukrainian territorial communities in the conditions of martial law, while giving some examples of practical implementation of these directions for Natalyne Territorial Community (TC) in Krasnohrad District, Kharkiv Region. The main material. The article considers theoretical and methodological foundations of land use monitoring in Ukraine in the conditions of martial law. It includes the impact of martial law on the legal regulation of land relations in Ukraine, analysis of foreign experience in solving land use problems affected by military aggression. We selected the land fund of Natalyne TC in Kharkiv region as a territory of experimental research based on historical experience, existing capabilities of GIS and remote sensing technologies. Analyzing current trends in the land use development within EU countries, we formulated priority directions for land use monitoring of Ukrainian territorial communities. There are some examples of practical implementation of these directions for Natalyne TC in Kharkiv region. In the conditions of martial law, the regulation of land relations in Ukraine underwent certain changes. These are: a) restrictions on free access to cartographic materials and services of the state land cadastre; b) a new regulation of certain land legal relations. This includes simplified transfer of unallocated agricultural land to be used in sowing campaign, exemption from liability for misuse of land in case of its involvement for country’ food security needs, etc.; c) adoption of some legislation caused by hostilities and/or their consequences, in particular , prohibition to change the purpose for former Kakhovka Reservoir lands. The historical experience of the world’s leading countries, such as Canada, Great Britain, Germany and France, proves that real-time monitoring of land pollution with military-man-made substances during hostilities can significantly speed up the process of post-war land restoration. Nowadays, the level of GIS and remote sensing development allows us to carry out this monitoring in a remote mode, using it even in areas of intensive military operations. A prerequisite for monitoring is the available database of land plots in GIS format, which are part of a given territorial unit (community, district) and adjacent territories. The remote monitoring process itself involves updating this database with data on bombing sites and other information, cartographic visualization of affected/potentially affected lands, etc. If there is safe environment, we can clarify the obtained data during field monitoring studies. In general,the proposed priority directions for land use monitoring of Ukrainian territorial communities in the conditions of martial law include: a) identification of hostilities and their consequences. This includes, in particular, presence of mines, delimitation of minefields, etc.; b) enhanced monitoring of critically important objects and places; c) verification of forest belts, hydrotechnical structures; d) monitoring of illegal land occupation, overgrowing and other manifestations of irrational land use; e) timely recording of misused land cases. We tested our theoretical propositions on the territory of Natalyne TC in Kharkiv region. Its land fund is typical for the Ukrainian steppe natural zone: 79% of it is agricultural land, significantly less (about 9%) is forestry land, residential and public land accounts for 2% of the community’s land fund, and other lands, including industrial, energy, transport, etc., 9%. The lands of the nature reserve fund (Martyniv and Petrivka reserves) and the lands of the Kobziv and Zakhidno -Sosnovsk gas condensate fields, need enhanced monitoring. Developed GIS database of Natalyne TC lands includes data about existing land use types within the community and adjacent territories, the location of gas wells, objects of the nature reserve fund. The total number of objects is more than 9000. During the monitoring, we added the places directly affected by hostilities and identified the manifestations of irrational land use. The collected data is the necessary basis (information support) for the post-war renewal of the community’s territory, based on the concept of sustainable development and the principles of rational land use. Conclusions and further research. The real-time land use monitoring of Ukrainian territorial communities in the conditions of martial law is caused by the necessity to timely record the impact of hostilities on their territory, to identify bombing sites, pollution with substances of military-man-made origin, which, as the experience of the world’s leading countries shows, will significantly speed up the process of post-war land restoration. At the same time, along with recording the impact of hostilities or its consequences, this monitoring should identify the manifestations of irrational land use, such as illegal land occupation, overgrowing, misuse of land, etc. A prerequisite for monitoring is the creation a database of land plots in GIS format on the communities’ territory and adjacent lands, which contains quantitative and qualitative characteristics of lands, areas (objects) that require enhanced monitoring, in particular, critical infrastructure facilities, places of storage for chemical and other hazardous substances. The monitoring itself is the update of this database with information on the impact of hostilities and its consequences. On this basis, we created a GIS database for Natalyne TC (Krasnohrad district of Kharkiv region) land resources. This GIS database contains more than 9,000 objects. In the future, this collected data will serve as a basis for the post-war renewal of the community’s territory. The prospective direction of our research is to categorize this database into two parts: 1) for official use by staff (in case of increasing cartographic data’s accuracy according to the requirements for land cadastral cartographic materials), 2) for public monitoring of the land use.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,043

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,319
Écart entre enseignants0,296 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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