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Analysis of Spatial‑Temporal Changes of Agricultural Land Use During the Last Three Decades in the Araban District of Turkey Using Remote Sensing

Tunc Erdihan, Tsegai Awet Tekeste, Çelik Sevil

Geomatics and Environmental Engineering

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2021

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Vol. 15, no. 1

111--123

EN

Agricultural land use and land cover dynamics were investigated in the Araban district of Turkey during the periods 1984–2019 by the use of Remote Sensing and Geographic Information Systems (GIS). Landsat TM and Landsat TIRS / OLI satellite imageries were used to determine land use and land cover changes. Using unsupervised classification method of ERDAS 8.3 software, three main agricultural activities were identified namely irrigated farming, dry farming, and horticultural / garden farming. The analysis has revealed that during the last three decades dry farming has decreased significantly by 14.69% (3802.14 ha) whereas horticultural/garden crops and irrigated farming lands have increased by 11.32% (667.19 ha) and 2.51% (2929.41 ha) respectively. Araban has been under intensive agricultural use due to its fertile soil and preference for horticultural crops such as pistachio, grapes and olives that provide more profit over dry farming crops such as wheat and barley has changed land use. Decrease in dry farming in a semi arid climate where Araban is located, has a potential ecological consequence, including a rapid drop of groundwater level, drying of wetlands and the disappearance of the biodiversity, thus, a necessary measures should be taken to implement an environmentally friendly, sustainable agriculture and settlement plan.

2

Zoning of Unused Land of Military Facilities in Krasnodar Krai

Melnikova Anastasia A., Pimenov Vladimir V., Svirezhev Kirill A., Khabarov Denis A., Khabarova Irina A.

Journal of Ecological Engineering

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2020

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Vol. 21, nr 2

111--116

EN

The research paper covers the features of the socio-economic and environmental diagnostics of agricultural land use. Zoning is a kind of basis for the territorial record keeping of the natural conditions and resources, quantity, quality, as well as the production capacity of lands in the system of taxonomic units. It is a natural and historical basis for the placement of agricultural production, land valuation, the development of land use patterns, land management patterns and projects, farming and agriculture systems, etc. Natural zoning reflects the need for priority land use in the interests of the economy. It has an agrobioecological basis due to the peculiarities of agricultural production, the essence of which is the utilization of the solar energy by the plant organisms necessary to maintain the ecological stability of the territory. The authors used the methods of particle-size and chemical analysis, the methods of comparing indicators for zones with various types of agriculture and soils of the military sites under the influence of the man-made factors. The main socio-economic indicators characterizing the development of land use were analyzed. The concept of state policy forms in the valuation of unused lands of Krasnodar Krai was substantiated.

3

Identification of the occurrence of marginal agricultural lands with the GIS

Ostrowski J.

Journal of Water and Land Development

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1999

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no. 3

7-20

EN

Within the research project: "Rationalization of marginal soils utilization" a database on the distribution of marginal soils based on natural criteria and included in the spatial information system has been developed in IMUZ. The main aim of the study was to identify and inventory marginal croplands in the regional scale. Basing on elaborated definitions and criteria for distinguishing marginal soils and habitats, a possibility of their identification upon the available cartographic documentation was analyzed. The possibility to inventory four types of marginal soils (sandy, erosive, polluted and mountain) on arable lands and five types of marginal habitats (bog, protected, extremely wet, polluted and mountain) on grasslands was demonstrated. For enlisted types of marginal soils and habitats, identification models in tabular form were built, which, after transformation into algorithms, were introduced into processing module in the created spatial information system. Elaborated identification system was tested on four regions differing in agricultural and natural conditions. The inventory of potential marginal croplands in the regional scale was found to be possible using computer techniques and collecting data acquired from the existing thematic maps. Obtained results confirm regional specifics of surface structure and sets of typical marginal soils and habitats. One of the main objectives of the research project: "Rationalization of marginal soils utilization" was to solve the problem of their identification and inventory in the regional and country scale. This paper presents principles of identification of marginal croplands based on the existing thematic maps and using elaborated identification models to build transformation algorithms in the spatial information system. Additionally, results of the inventory of marginal agricultural lands in selected regions are presented.

PL

W ramach projektu badawczego zamawianego "Racjonalizacja wykorzystania gleb marginalnych" w utworzono IMUZ bazę danych o rozmieszczeniu gleb marginalnych w oparciu o kryteria przyrodniczo-rolnicze ujętą w system informacji przestrzennej. Głównym celem badań była identyfikacja i inwentaryzacja w skali regionu marginalnych użytków rolnych. W oparciu o opracowane w ramach projektu definicje i kryteria wyodrębniania gleb i siedlisk marginalnych dokonano analizy możliwości ich identyfikacji na podstawie dostępnej dokumentacji kartograficznej. Wykazano, że jest możliwe zinwentaryzowanie czterech rodzajów gleb marginalnych (piaskowe, erozyjne, zanieczyszczone, górskie) na gruntach ornych i pięciu rodzajów siedlisk marginalnych (bagienne, chronione, ekstremalnie uwilgotnione, zanieczyszczone, górskie) na użytkach zielonych. Dla wymienionych rodzajów gleb i siedlisk marginalnych zbudowano w formie tabelarycznej modele identyfikacyjne, które po przekształceniu w algorytmy, wprowadzono do modułu przetwarzania w utworzonym systemie informacji przestrzennej. Opracowany sposób identyfikacji przetestowano na czterech różniących się warunkami przyrodniczo-rolniczymi regionach kraju wykazując, że można poprzez zastosowanie techniki komputerowej i zgromadzenie danych pozyskanych z istniejących map tematycznych inwentaryzować potencjalne marginalne użytki rolne w skali regionu, przy czym uzyskane wyniki potwierdzają regionalną specyfikę struktury powierzchniowej oraz układów rodzajowych gleb i siedlisk marginalnych.