scholarly journals The concept of development of the integrated agricultural land assessment system

2014 ◽  
Vol 10 (2) ◽  
pp. 109-114
Author(s):  
V.I. Zatserkovniy ◽  
L.V. Gebrin ◽  
S.V. Kryvoberets
Keyword(s):  
Agricultural Land ◽  
Assessment System ◽  
Land Assessment

scholarly journals Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 223
Author(s):  
Rubaiya Binte Mostafiz ◽  
Ryozo Noguchi ◽  
Tofael Ahamed
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Agricultural Land ◽  
Expert Knowledge ◽  
Vegetation Indices ◽  
Land Suitability ◽  
Assessment System ◽  
Yield Estimation ◽  
Suitability Assessment ◽  
Land Suitability Assessment

Satellite remote sensing technologies have a high potential in applications for evaluating land conditions and can facilitate optimized planning for agricultural sectors. However, misinformed land selection decisions limit crop yields and increase production-related costs to farmers. Therefore, the purpose of this research was to develop a land suitability assessment system using satellite remote sensing-derived soil-vegetation indicators. A multicriteria decision analysis was conducted by integrating weighted linear combinations and fuzzy multicriteria analyses in a GIS platform for suitability assessment using the following eight criteria: elevation, slope, and LST vegetation indices (SAVI, ARVI, SARVI, MSAVI, and OSAVI). The relative priorities of the indicators were identified using a fuzzy expert system. Furthermore, the results of the land suitability assessment were evaluated by ground truthed yield data. In addition, a yield estimation method was developed using indices representing influential factors. The analysis utilizing equal weights showed that 43% of the land (1832 km2) was highly suitable, 41% of the land (1747 km2) was moderately suitable, and 10% of the land (426 km2) was marginally suitable for improved yield productions. Alternatively, expert knowledge was also considered, along with references, when using the fuzzy membership function; as a result, 48% of the land (2045 km2) was identified as being highly suitable; 39% of the land (2045 km2) was identified as being moderately suitable, and 7% of the land (298 km2) was identified as being marginally suitable. Additionally, 6% (256 km2) of the land was described as not suitable by both methods. Moreover, the yield estimation using SAVI (R2 = 77.3%), ARVI (R2 = 68.9%), SARVI (R2 = 71.1%), MSAVI (R2 = 74.5%) and OSAVI (R2 = 81.2%) showed a good predictive ability. Furthermore, the combined model using these five indices reported the highest accuracy (R2 = 0.839); this model was then applied to develop yield prediction maps for the corresponding years (2017–2020). This research suggests that satellite remote sensing methods in GIS platforms are an effective and convenient way for agricultural land-use planners and land policy makers to select suitable cultivable land areas with potential for increased agricultural production.

scholarly journals ASSESSMENT OF AGRICULTURAL LAND SOILS of LVIV REGION

2021 ◽  
Vol 50 (1) ◽  
Author(s):  
Zinovy Pankiv ◽  
Andrii Kyrylchuk ◽  
Oksana Bonishko
Keyword(s):  
Large Scale ◽  
Agricultural Development ◽  
Agricultural Land ◽  
Soil Cover ◽  
Black Soil ◽  
The Real ◽  
Podzolic Soils ◽  
Agricultural Areas ◽  
Land Assessment

The basis of agricultural land assessment (soil rating, economic land assessment, normative monetary assessment of land) is the properties of agricultural soil groups (141 agricultural groups) within 11 natural-agricultural districts of Lviv region. The structure of the soil cover of Lviv region is dominated by sod-podzolic soils (17.9%), brown soils, mountain-forest (14.0%), dark gray podzolic soils (12.1%). Typical low-humus black soils (78.6%), podzolic black soils (75.2%), and black-meadow soils (66.9%) are characterized by the highest indicators of agricultural development. Quite significant agricultural development, due to large-scale drainage reclamation, is characterized by hydromorphic soils: meadow-swamp (94.7%), swamp (84.2%), peat-swamp (82.5%), lowland peatlands (72.1). The most significant disadvantage of rating is the use of outdated information about natural and acquired soil properties, which do not correspond to the current state, do not reflect the quality of soils. In order to improve land assessment indicators, it is advisable to conduct soil research on all land plots. The weighted average rating of soil quality of agricultural lands of the region is 26 and has significant fluctuations in terms of natural-agricultural areas (NAA): 48 points for Zolochiv and 10 for Turkiv, which is due to the structure of agricultural groups in these areas and their diagnostic indicators. Dark gray podzolic and degraded, black soil podzolic and slightly degraded (75 points) and black soil crushed on the eluvium of dense carbonate rocks (76 points) have the highest rating of arable agricultural groups in Lviv region. Economic assessment of land was carried out in the conditions of the collective farm-state farm system of land use at approximately the same cost per unit of production and therefore in modern conditions of diversity of agricultural entities they do not reflect the real situation and require significant improvement. The introduction of land reform in Ukraine has facilitated the monetary assessment of lands, which is determined by their location within a certain NAA, the composition of lands and the rating scores of the quality of agricultural groups of soils within them. The highest cost of arable land in Borshchovytskyi and Zolochivskyi NAA districts (56.3 thousand UAH and 61.6 thousand UAH per 1 ha, respectively) (agro-group 100 d, e). UAH The highest cost of hayfields in Zolochiv SSR district - 20.3 thousand UAH per 1 hectare (agrogroup 133d) The highest value of 1 hectare of pastures in Sambir-Zhydachiv NAA district - 16.7 thousand UAH (agrogroup 18c). Given the complexity and high cost of large-scale soil surveys within the state, it is advisable to conduct soil research on all land plots involved in civil relations (lease, sale, mortgage, gift, inheritance, mine), which will establish the real state of soil cover within their limits, calculate real assessment and, in the future, update information on the main means of labor in agriculture and forestry. Key words: soil resources, agrogroups, natural-agricultural areas, rating of agrogroups, normative monetary assessment of soils.

Using GIS in Agricultural Land Assessment for Property Taxes

Annals of GIS ◽  
1999 ◽  
Vol 5 (1) ◽  
pp. 47-51
Author(s):  
Richard B. Standiford ◽  
James W. Bartolome ◽  
William Frost ◽  
Neil McDougald
Keyword(s):  
Agricultural Land ◽  
Property Taxes ◽  
Land Assessment

scholarly journals Assessment of Producing Abilities of Farmland in a Limited Water Supply Environment of Uzbekistan

2021 ◽  
Vol 7 (3) ◽  
pp. 49-57
Author(s):  
A. Babajanov ◽  
B. Inamov ◽  
Kh. Abdivaitov
Keyword(s):  
Economic Evaluation ◽  
Water Supply ◽  
Agricultural Land ◽  
Natural Soil ◽  
Soil Productivity ◽  
Economic Issues ◽  
The Republic ◽  
Methodological Aspects ◽  
Supply Environment ◽  
Land Assessment

This article is investigated the calculation of the natural soil productivity of agricultural land plots in the current conditions of limited water supply in the Republic of Uzbekistan, which is considered one of the developing countries of Central Asia, i. e., it studies both theoretical and methodological aspects of determining the soil assessment and issues of economic land assessment based on it. That is why the rational and efficient use of irrigation water in today’s restricted distribution is one of the most important issues for any economy, and it is important to consider the evaluation of soils and economic evaluation of irrigated land, a land assessment, the positive solution of a number of economic issues.

CONCEPTUAL APPROACHES TO THE ASSESSMENT OF UNUSED AGRICULTURAL AREAS

1970 ◽  
pp. 20-26
Author(s):  
V. А. Shevchenko ◽  
V. V. Бородычев ◽  
М. N. Lytov
Keyword(s):  
Organic Farming ◽  
Organic Agriculture ◽  
Agricultural Land ◽  
Resource Consumption ◽  
Assessment System ◽  
Land Plot ◽  
Organic Products ◽  
Three Stages ◽  
Conducting Research ◽  
Agricultural Areas

The working hypothesis of the research is the possibility of priority development of currently unused, wasteland areas or fallow, including previously reclaimed agricultural land for the production of organic farming products. An algorithm has been developed for the use of wasteland areas for the production of organic products, which includes several groups of assessments: general, geo-oriented, ecological, sanitary and phytosanitary. The result of solving the algorithm is a reasoned judgment about the compliance of the land plot with the requirements of organic farming or rejection of this assumption. In the case of a positive decision is made about the use of lands for the organic products production, it implies conducting research in four more stages, each of which retains the possibility of deviation the project. In the first three stages the internal regulator of the project is involved in making a decision, while in the fourth, the decision is make by an external regulator in relation to the project initiators. Using the proposed algorithm it is possible to systematically approach the creation of organic agriculture projects on unused wasteland or fallow areas, to streamline the assessment system with the least resource consumption.

scholarly journals Zoning of agroecological potential areas for agricultural land assessment of the Saratov region

2020 ◽  
pp. 37-43
Author(s):  
Vladimir Aleksandrovich Tarbaev ◽  
Vyacheslav Mikhailovich Yanyuk ◽  
Alexey Alekseevich Dorogobed ◽  
Yulia Ivanovna Shadau ◽  
Tatyana Vladimirovna Kuznichenkova
Keyword(s):  
Agricultural Land ◽  
Biologically Active ◽  
Yield Model ◽  
Saratov Region ◽  
Class Testing ◽  
Standard Value ◽  
Agricultural Use ◽  
Quality Check ◽  
Thermal Resources ◽  
Land Assessment

The standard yield model recommended for land assessment and certification of land according to the degree of suitability for agricultural use is based on the assessment of agro-ecological potential (AP) as characteristics of the territory 's water and thermal resources. The quality check of the model according to the data of the class testing areas for the period 2007-2018 showed an overestimation of the standard grain yield for the conditions of the Saratov region by 1.2-1.5 times. The error is due to the use of the most available agro climatic parameters in the model, which establish their connection with productivity at the interregional level, but do not meet the conditions of adequate differentiation of conditions of moisture supply of crops at the regional level. Correction of the AP model, when using the parameters of water and thermal resources provision by the coefficients of annual moistening and the sum of biologically active temperatures, is achieved by reducing the AP level by 1.2 times and fixing the standard value of the climate continental index - 187. A new version of estimated zoning is proposed based on the corrected model of AP, at which the number of agro climatic subzones is reduced from 9 to 6. The adequacy of the assessment of land productivity is ensured by the use of AP parameters that are individual for municipal areas rather than medium-sized ones.  

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