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Journal articles on the topic 'Land suitability'
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Sutandi, Atang, and Baba Barus. "Land Suitability Model for Curry." Jurnal Ilmu Tanah dan Lingkungan 9, no. 1 (April 1, 2007): 20–26. http://dx.doi.org/10.29244/jitl.9.1.20-26.
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Agribusiness of herbal medicine is more important in the future due to raw material pharmaceutical industry tends to usematerials naturally produced To develop herbal medicine with high quality requires the criteria of land suitability based onyield quality, which is represented by active compounds. The compounds are resulted from secondary metabolite that isrelated to environmental conditions. The purpose of this study was to generate the land suitability criteria for curry withcurcuma production base. A total of 49 curry plantation sites were sampled for plant age, productivity, and landcharacteristics, as well as soil and rhizome samples for laboratory analysis. Age-adjusted curcuma production was used as the yield response, which were plotted against land characteristics. Boundary lines confining the resultant scatter of points were then mathematically described. The boundary lines defined curcuma yields that may occur under a given set ofconditions and could be used to determine land suitability criteria. The criteria were done by using projection of lineintersection between boundary line and yield cut off. Land characteristic and curcuma yield relationships had similar pattern, the scalier data were more skewness with higher yields and the scalier confined by boundary lines. By using the lines, every land characteristics that were studied, could be determine to establish land suitability criteria for curry, except for wateravailability and aluminum saturation.
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Ali, Ircham, Vincensius Gunawan, and Kusworo Adi. "Decision Support Systems for Land Suitability Evaluation on Rice Cultivation using ELECTRE Method." E3S Web of Conferences 202 (2020): 14004. http://dx.doi.org/10.1051/e3sconf/202020214004.
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Land suitability evaluation has an important role in determining the environmental boundaries of sustainable land resource management. The purpose of this study is to evaluate the suitability of land use in rice cultivation in Magelang, Indonesia. Environmental factors such as rainfall, drainage, depth, pH, organic matter content, slopes, and erosion level are used as criteria compared to 5 alternative lands (Sawangan, Mangunsari, Tirtosari, Podosoko, and Kapuhan). The ELECTRE method as one of the multi-criteria decision-making methods chosen to solve the concept ambiguity problem in land suitability assessment. The result shows that the application of this method is quite effective for decision making so that alternatives are obtained that have the highest land use suitability compared to other alternatives for environmentally friendly rice cultivation. Finally, a decision support system with a web-based ELECTRE Method is presented to facilitate decision-makers in obtaining more accurate land suitability information.
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Moloudi, Amir, and Nafiseh Yaghmaeian Mahabadi. "Quantitative and qualitative land suitability assessment for rice cultivation, north of Iran." Polish Journal of Soil Science 52, no. 2 (November 21, 2019): 195. http://dx.doi.org/10.17951/pjss.2019.52.2.195.
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<p>Evaluation of arable lands and agricultural potential to support current and future agricultural uses is one of the best agricultural policies for food security in developing countries. Hence, studies related to land suitability evaluation can lead to sustainable land use. The aims of this research were qualitative land suitability evaluation, land production potential prediction and quantitative land suitability evaluation on the basis of the FAO model for rice in Sangar region, northern Iran. Qualitative evaluation was carried out using the maximum limitation and parametric methods. Land production potential was determined by the agro-ecological zoning (AEZ) model. Land suitability classes according to maximum limitation, Storie and square root parametric methods are determined S3, S3-N1 and S2-S3, respectively. Rice radiation-thermal production potential was calculated as 7.65 t/ha; mean land production potentials, using Storie and square root formulas were predicted respectively, as 3.69 and 4.52 t/ha and mean actual yield was estimated as 2.81 t/ha. The results of this study showed that use of the square root formula is more appropriate than Storie formula as far as land production potential calculation is concerned. Soil limitations and weak management level have caused majority of land units to have moderate quantitative suitability (S2) for rice cultivation. Comparison between qualitative and quantitative suitability classes demonstrates that quantitative suitability classes are significantly increased due to crop adaptation with climate agents.</p>
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Huang, Huiping, Qiangzi Li, and Yuan Zhang. "Urban Residential Land Suitability Analysis Combining Remote Sensing and Social Sensing Data: A Case Study in Beijing, China." Sustainability 11, no. 8 (April 15, 2019): 2255. http://dx.doi.org/10.3390/su11082255.
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With the degradation of the environment and the acceleration of urbanization, urban residential land has been undergoing rapid changes and has attracted great attention worldwide. Meanwhile, the quantitative evaluation of the suitability of urban residential land is essential for a better and more powerful understanding of urban residential land planning and improvement. Most urban land suitability studies rely solely on remote sensing data and GIS data to evaluate natural suitability, and few studies have focused on urban land suitability from a socioeconomic perspective. Consequently, this paper integrates remote sensing data (GaoFen-2 satellite image) and social sensing data (Tencent User Density data, Point-of-interest data and OpenStreetMap data) to establish an evaluation framework for analyzing the suitability of urban residential land in the Haidian District, Beijing, China, in which, ecological comfortability, locational livability and overall suitability were evaluated according to five attributes extracted from urban residential land via the factor analysis method. The evaluation results of this case study show that, compared with the suburban area in the northwest, the urban area tends to have lower ecological comfortability and higher locational livability. The overall suitability increases from southeast to northwest, consistent with the spatial distribution of ecological comfortability. This framework can potentially assist with the sustainable development of residential lands and urban land use planning.
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Saxena, Ankita, and Mahesh Kumar Jat. "Land suitability and urban growth modeling: Development of SLEUTH-Suitability." Computers, Environment and Urban Systems 81 (May 2020): 101475. http://dx.doi.org/10.1016/j.compenvurbsys.2020.101475.
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Trigunasih, Ni Made, I. Nyoman Merit, Wiyanti Wiyanti, I. Wayan Narka, and I. Nyoman Dibia. "EVALUATION OF LAND SUITABILITY FOR INCREASING PRODUCTIVITY IN DEGRADED UNDA WATERSHED, DISTRICT OF KARANGASEM, BALI." International Journal of Biosciences and Biotechnology 5, no. 1 (December 1, 2017): 25. http://dx.doi.org/10.24843/ijbb.2017.v05.i01.p03.
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Evaluation of land suitability to increase the productivity of degraded lands in the Unda watershed aims: providing a database of land suitability for land use planning in support of sustainable agricultural development, providing spatial information, and recommendations in accordance with the land use plan of inhibiting factors that exist. Identification of characteristic land quality evaluation survey carried out by the method of land with exploration area of research followed by soil sampling at some sample of land units. Land suitability classification using the criteria of the Technical Guidelines for Evaluation of Land For Agricultural Commodities of Soil Research Institute (2003) is by matching between the haracteristics of the land with the requirements of growing plants was evaluated. Types of agricultural crops that are evaluated include plantation crops and food crops hotikultura fruits. Suitability actual land (land suitability based on survey data) are mostly classified as unsuitable (N), and marginally suitable (S3). Qualities/characteristics as the land that is the main limiting factor, among others: quality of land erosion, slope, water availability, temperature, rooting media (soil texture and coarse material). Sustainable land use planning can be recommended with agroforestry, accompanied by vegetative conservation measures because it is cheaper and easier to be carried out by farmers. Recommended cultivation effort is a combination of timber plants with horticultural crops of fruits with the provisions of at least 40% must be enclosed timber. Plant timber that can be developed between the other plants that are not too heavy canopy.
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Maddahi, Z., A. Jalalian, M. M. Kheirkhah Zarkesh, and N. Honarjo. "Land suitability analysis for rice cultivation using a GIS-based fuzzy multi-criteria decision making approach: central part of Amol District, Iran." Soil and Water Research 12, No. 1 (January 18, 2017): 29–38. http://dx.doi.org/10.17221/1/2016-swr.
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Land suitability analysis and preparing land use maps is one of the most beneficial applications of the Geographic Information System (GIS) in planning and managing land recourses. The main objective of this study was to develop a fuzzy multi-criteria decision making technique integrated with the GIS to assess suitable areas for rice cultivation in Amol District, Iran. Several suitability factors including soil properties, climatic conditions, topography, and accessibility were selected based on the FAO framework and experts’ opinions. A fuzzy analytical hierarchical process (FAHP) was used to determine the weights of the various criteria. The GIS was used to overlay and generate criteria maps and a land suitability map. The study area has been classified into four categories of rice cultivation suitability (highly suitable, suitable, moderately suitable, and unsuitable). The present study has attempted to introduce and use the FAHP method to land suitability analysis and to select lands in order to be used as best as possible. Areas that are classified as highly suitable and suitable for rice cultivation constitute about 59.8% of the total area of the region. The results of the present research indicate that the FAHP is an efficient strategy to increase the accuracy of the weight of the criteria affecting the analysis of land suitability.
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Ziadat, Feras M., and Kais A. Sultan. "Combining current land use and farmers' knowledge to design land-use requirements and improve land suitability evaluation." Renewable Agriculture and Food Systems 26, no. 4 (March 14, 2011): 287–96. http://dx.doi.org/10.1017/s1742170511000093.
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AbstractLand suitability analysis is very important to assess and propose the most suitable land-use options. The reliability of land suitability evaluation is controlled by choosing the most limiting land characteristics and their ratings for the proposed land utilization types (LUTs). This study aims at examining the possibility of using current land use and farmers' knowledge as a starting point to suggest and/or modify land evaluation criteria, and to improve the land suitability evaluation process. The potential suitability of land for five LUTs (open range, improved range, rainfed barley, drip-irrigated vegetables and drip-irrigated trees) was evaluated near Al-Mafraq in Jordan using the maximum limitation method. The results indicated variable agreement levels between potential land suitability and current land use for different LUTs. Sixteen farms were selected to represent different cases of disagreement between potential suitability and current land use and were visited to explore the farmers' improved management practices adopted to overcome land-use limitations. Using proposed criteria, only 1% of the study area was highly suitable for drip irrigation, whereas most of the area was moderately or marginally suitable for other uses. This represents the conventional land evaluation procedures, which, in most cases, overlook the farmers' knowledge and practices that are adopted in a particular area to overcome biophysical limitations. The ratings for different land characteristics were modified based on comparisons with current land use, and by referring to farmers’ adopted management practices. Using modified criteria, the highly suitable area for drip-irrigated vegetables increased by 18% and the highly suitable area for drip-irrigated trees increased by 25%. The results emphasized that the consideration of the farmer's indigenous knowledge and current land use improve the land evaluation process, which leads to better utilization of limited land resources in fragile environments.
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Malczewski, Jacek. "Fuzzy Screening for Land Suitability Analysis." Geographical and Environmental Modelling 6, no. 1 (May 2002): 27–39. http://dx.doi.org/10.1080/13615930220127279.
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Amir, A. K., S. Wunas, and M. Arifin. "Settlement development based on land suitability." IOP Conference Series: Earth and Environmental Science 419 (February 8, 2020): 012083. http://dx.doi.org/10.1088/1755-1315/419/1/012083.
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Damis, Damis, and Muhammad Saenong. "ANALISIS KUALITAS AIR DALAM PENENTUAN LOKASI BUDIDAYA RUMPUT LAUT (Eucheuma cottonii) DI KAWASAN TELUK PAREPARE." JOURNAL OF INDONESIAN TROPICAL FISHERIES (JOINT-FISH) : Jurnal Akuakultur, Teknologi Dan Manajemen Perikanan Tangkap, Ilmu Kelautan 3, no. 2 (December 27, 2020): 205–13. http://dx.doi.org/10.33096/joint-fish.v3i2.79.
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This study aims to determine land suitability for seaweed cultivation in the Parepare Bay Region, assessing the feasibility of developing seaweed cultivation; identify factors that influence the development of seaweed cultivation; Conformity evaluation conducted in this study is the actual suitability or suitability of seaweed cultivation land, where the resulting land suitability class is only based on available data, not considering social, economic, financial, and other aspects. The research method used is a direct survey at the research location. The results of the land suitability analysis are based on the suitability matrix: spatial data analysis using the Geogerafis Information System method, to determine the suitability of seaweed cultivation land. The results showed that the area of land suitability for seaweed cultivation based on the land suitability map was appropriate (S) ± 578.57 ha and not suitable (N) ± 759.68 ha
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Handayani, Leni, A. Rauf, Rahmawaty Rahmawaty, and T. Supriana. "Reevaluation of Land Fitness For Soybean Plant in Kabamatan Stabat, Langkat District." International Journal of Applied Biology 4, no. 1 (March 10, 2020): 15–20. http://dx.doi.org/10.20956/ijab.v4i1.9168.
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A decrease in the area of soybean farming has an effect on reducing soybean production from year to year so that it has not been able to meet the needs of national soybean consumption. Land suitability assessment is an effort to be able to optimize land use. In the process of assessing land suitability manually, it is considered inaccurate. The purpose of this study was to determine the land suitability class for soybean plants. The land suitability classification system used is the FAO land suitability classification classified at the sub-class level. Land suitability evaluation uses a matching system, as well as comparing the characteristics of land with plant growing community formulated in the technical evaluation of land guidelines for agricultural commodities. In the matching process Leibig's minimum law is used to determine the limiting factors that will affect the suitability of the class and sub-class of the land. Requirements for growing plants become kiteria in conformity evaluation. The results showed that the limiting factors of land suitability for soybean plants that had to be improved were temperature, rainfall, soil texture, C-Organic, N-Total and P-Available soil. The limiting factor of temperature and soil texture cannot be improved so that the marginal fit class (S3) on actual land suitability remains marginal fit (S3) in terms of potential land suitability.
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Jiang, Yun, Hong Bo Zhang, and Bao Jun Wang. "Urban Land Suitability Evaluation Based on Fuzzy Synthesis Evaluation." Advanced Materials Research 518-523 (May 2012): 6050–55. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.6050.
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The primary influencing factors of urban land suitability were analyzed, and evaluation index systems were proposed for urban land suitability. Based on AHP, the weight of every evaluation index was determined, and the evaluation model for urban land suitability was also established by fuzzy synthesis evaluation. Taking the urban land condition of plain country as an application case, and its urban land suitability was assessed based on the evaluation model. The research result shows that the degree of urban land suitability can be indicated with AHP and fuzzy synthesis evaluation, so it is a new effective method for the evaluation of urban land suitability.
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Trigunasih, Ni Made, and I. Nyoman Dibia. "AGROECOSYSTEMS OF LAND SUITABILITY IN SUB-DISTRICT OF SOUTH KUTA FOR COMMODITY DEVELOPMENT HORTIKULTURA FRUITS IN BADUNG DISTRICT, BALI." International Journal of Biosciences and Biotechnology 6, no. 2 (August 16, 2019): 114. http://dx.doi.org/10.24843/ijbb.2019.v06.i02.p04.
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This study aims to: (1) to know the suitability of the land for the development of several fruit horticultural commodities in the Sub-district of South Kuta, (2) determine the suitability of land in agroecosystem and its limiting factors, (3) provide ecommendations for land management in the study area. The study used a field survey method with the determination of observation samples carried out in a stratified purposive sampling with land units as the strata. Land quality/characteristics as a determinant of land suitability observed include: annual mean temperature, water availability; rooting media; availability of oxygen; nutrient retention, CEC, BS, pH, and organic matter; nutrients available; erosion; flood hazard; land preparation. Land suitability assessment is done by matching the land quality with the growing requirements for the plants evaluated. The results showed that the actual land suitability for food crops of fruit horticulture (citrus, mango, starfruit, banana, sapodilla, grape, klengkeng, papaya, grain guava, guava, jackfruit, soursop, avocado, srikaya, breadfruit and pineapple) belonged according to conditional marginal suitable (S3), until not appropriate (N) with the quality of the land as a limiting factor are: rooting media (effective depth of soil); land preparation (surface rocks and rock outcrops); erosion hazard; and nutrient availability (especially N-total and P-available). The assumption is that some land quality/characteristics that are as limiting factors can be improved, then the suitability of the potential land is quite suitable (S2) to marginal suitable (S3) with the quality/characteristics of the land as a limiting are: availability of water (long dry months), rooting media (effective depth), land preparation (surface rocks, rock outcrops), and nutrient retention (rather high soil pH). Increased land productivity in the study area can be done by improving land management by providing inputs such as: the addition of sufficient organic material, adition of fertilizer containing elements of N (ZA), and fertilizer containing elements of Potasium (SP36), taking conservation measures in the form of making terraces on sloping lands.
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Zhang, Xiao Rui, and Gang Chen. "Application of Neural Network in Urban Land Use Suitability Evaluation." Key Engineering Materials 474-476 (April 2011): 681–86. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.681.
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Urban land use suitability evaluation is the basic work of urban land use planning and management. The evaluation method is a core in urban land use suitability evaluation. Traditional urban land use suitability evaluation methods are GIS-based methods which often can not get satisfactory results for the complex nonlinear urban land use system. Artificial neural network is a frontier theory of complex non-linearity scientific and artificial intelligence science. It is a new method to evaluate urban land use suitability. This paper took the land use suitability evaluation of Hefei city as an example, building a back propagation neural network with 8 neurous of input layer, 5 neurons of hide layer and 3 neurons of output layer. The analysis shows: the high suitability area is 682.27 km2in Hefei city, being about 8.73% of the total study area; the middle suitability area is 5965.76 km2, or about 76.33% of the total area and the low suitability area is 1167.35 km2, or about 14.94% of the total area. The results reflect the actual situation in Hefei city. The study shows that the back propagation neural network model can overcome the shortcomings of traditional evaluation methods. It means that artificial neural network is suitable for urban land use suitability evaluation. This reflects that artificial neural network has great academic value and application prospect in urban land use suitability evaluation. It also reflects that this study can provide a new idea and method for urban land use suitability evaluation.
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Triantafilis, J., W. T. Ward, and A. B. McBratney. "Land suitability assessment in the Namoi Valley of Australia, using a continuous model." Soil Research 39, no. 2 (2001): 273. http://dx.doi.org/10.1071/sr99087.
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In an agricultural context, land evaluation is assessment for a specified kind of land utilisation. The final result of agricultural evaluation is a map, which partitions the landscapes into suitable and unsuitable areas for a particular land-use of interest. However, this approach may not represent the continuity of land. Land suitability could be better expressed by a fuzzy approach. In this paper a fuzzy methodology is used to evaluate land suitability in the Edgeroi district for various crops including barley, dryland cotton, oats, pasture, soybean, sorghum, sunflower, and wheat. This is achieved using a membership function to derive a land-suitability membership score ranging from non-suitable (i.e. 0) to suitable (i.e. 1). We express this as continuous land suitability maps using punctual kriging. An expression for overall land suitability (i.e. its versatility) and its capacity with respect to suitability to particular rotations is introduced to highlight the most productive units of soil.
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Hoseini, Yaser, and Morteza Kamrani. "Using a fuzzy logic decision system to optimize the land suitability evaluation for a sprinkler irrigation method." Outlook on Agriculture 47, no. 4 (September 17, 2018): 298–307. http://dx.doi.org/10.1177/0030727018798381.
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Land evaluation for irrigation is the process of predicting land use potential on the basis of soil attributes. The Food and Agriculture Organization (FAO) framework for land suitability evaluation is the most commonly used and is based on the biophysical properties of lands. The FAO framework method for land suitability application Boolean approach that has been criticized by some researchers. Because the Boolean representations ignore the continuous nature of soil and uncertainties in measurement and also its inability for overcoming problems related to vagueness in definition and other uncertainties, fuzzy set methodologies have been proposed. In the present study, the qualitative land suitability evaluation for sprinkler irrigation using parametric-based FAO learning and fuzzy inference system was carried out in an area of 5175 ha in Northwest Iran. By overlaying the layers (soil texture, soil depth, lime, electric conductivity, drainage, and slope) and use of spatial data modeler in ArcGIS 9.3, land evaluation maps for sprinkler irrigation were provided for the area under study. Results showed that based on the parametric approach, 1598 ha of the study area were classified as highly suitable (S1 class) for sprinkler irrigation; the area of highly suitable lands in the parametric method was about five times the area of highly suitable lands obtained through the fuzzy method. In addition, the two methods were completely different in determining moderately suitable lands (S2). Accordingly, 787 ha in the area was moderately suitable using the parametric method, which was about two times that obtained through the fuzzy method. This showed the significant difference between two methods applied to evaluate the lands. Moreover, fuzzy approaches accommodate the continuous nature of some soil properties and produce more intuitive distributions of land suitability indexes.
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Shyju, K., and K. Kumaraswamy. "EXPLORATION OF LAND RESOURCES FOR ANALYSING THE SUITABILITY OF SELECTED CROPS IN AN ADMINISTRATIVE UNIT OF THRISSUR DISTRICT, KERALA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 435–37. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-435-2019.
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<p><strong>Abstract.</strong> The fitness of land for a defined use is termed as land suitability. The aim of the study is to find the land suitability of for selected crops examining the indicators of land suitability. The study focuses on analysing suitability of agricultural crops in Pazhayannur Block of Thrissur District. Pazhayannur is the administrative unit (block) in the east of the Talapilli Taluk of Thrissur District in Kerala. The physical and chemical characteristics of the soils of Pazhayannur block like texture, depth, slope, erosion, pH, salinity and soil available primary nutrients (NPK), secondary nutrients and micronutrients are identified. The slope of the terrain using Cartosat-Digital Elevation Model, soil erosion, rainfall and land capability is analysed for suitability classification. Land suitability is studied for the selected crops like paddy, banana, coconut, and rubber. The weighted overlay analysis in GIS is adopted for the analysis. The parameters are weighted based on its class and its influence in suitability of specific crops. The results on agricultural land suitability for individual crops were divided into 5 categories according to the land suitability classification of the United Nations Food and Agriculture Organization (FAO). It is identified that Pazhayannur has potential for the cultivation of the selected crops. The crops show high suitability (S1) in minor proportion and moderate suitability (S2) is found in 30 percent and above and marginal suitability (S3) is noticed in lesser areas. There is few portion of land which is currently not suitable for cultivation (N1) because of its topographic limitations. The restricted areas of forest are permanently not suited for agriculture (N2).</p>
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Hartati, Tri Mulya, Bambang Hendro Sunarminto, and Makruf Nurudin. "Evaluasi Kesesuaian Lahan untuk Tanaman Perkebunan di Wilayah Galela, Kabupaten Halmahera Utara, Propinsi Maluku Utara." Caraka Tani: Journal of Sustainable Agriculture 33, no. 1 (April 24, 2018): 68. http://dx.doi.org/10.20961/carakatani.v33i1.19298.
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This study aims to determine land suitability class for of plantation crops, namely, coconut, clove, and cocoa in Galela region, North Halmahera, North Maluku. The determination of land suitability is determined by using the comparison method between the quality of the land on the condition of plant growth, the criteria using two methods, namely Simple Limitation Method (SLM) and Sys Criteria. The result showed the actual land suitability for coconut and clove using SLM system was obtained into two classes, S3 (marginally suitable) and N (unsuitable); whereas the potential land suitability was obtained into three classes i.e S2 (moderately suitable), S3 and N, for cocoa the actual and potential land suitability was obtained into classes N. While, according to Sys Criteria, the actual land suitability for coconut and clove the obtained two classes i.e. S2 and S3, the potential land suitability for coconut into three classes i.e S1 (very suitable), S2, and S3, for clove into two classes S2, and S3, while for cocoa the actual and potential land suitability was obtained into classes S3. The generally, limiting factors in the cultivation of plantation crops in Galela region, North Halmahera, North Maluku include rooting media, nutrient retention, nutrient availability, erosion hazard, drainage, sodicity, and water availability. The supply of volcanic ash material from Mt. Dokuno positively affect the growth of plantation crops in Galela region. The approach method with Sys Criteria is well suited to determine the suitability of plantation land in the Galela region.
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Alexakis, Dimitrios E., George D. Bathrellos, Hariklia D. Skilodimou, and Dimitra E. Gamvroula. "Land Suitability Mapping Using Geochemical and Spatial Analysis Methods." Applied Sciences 11, no. 12 (June 10, 2021): 5404. http://dx.doi.org/10.3390/app11125404.
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Assessing the suitability of urban and agricultural land is essential for planning sustainable urban and agricultural systems. The main objective of this study is to evaluate the suitability of land in Ioannina plain (western Greece) concerning the soil contents of two potentially toxic elements, cadmium (Cd) and cobalt (Co). Geochemical and spatial analysis methods were applied to assess the distribution of Cd and Co in the soil of the Ioannina plain and identify their origin. The primary anthropogenic sources of Cd and Co in the topsoil of the study area can be attributed to traffic emissions, aircraft operations, vehicle crushing and dismantling activities. Element content is compared to international guidelines and screening values. Cadmium and Co concentration in the soil of the study area is well above the European topsoil mean. Thus, the urban and agricultural lands cover the vast majority (92%) of the total area. Cadmium concentration in soil of the study area with a mean (mg kg−1) 1.7 and 2.0 was observed in agricultural and urban land use, respectively. Cobalt content in soil of the area studied with a mean (mg kg−1) 30.8 and 37.1 was recorded in agricultural and urban land use, respectively. Land evaluation suitability by adopting criteria provided from the international literature is discussed.
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Wakiah, Sitti, Johan A. Rombang, and Johannes E. X. Rogi. "EVALUASI LAHAN UNTUK PENGEMBANGAN LAHAN PERKEBUNAN DI PULAU BACAN KABUPATEN HALMAHERA SELATAN." AGRI-SOSIOEKONOMI 12, no. 2A (October 26, 2016): 377. http://dx.doi.org/10.35791/agrsosek.12.2a.2016.13850.
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The research objective was to determine the suitability of land for a certain class of agricultural crops, namely, vanilla, oil palm, coconut, cocoa, nutmeg and cloves and to determine the direction of the crop land use. The study used survey method and analysis is to compare with criteria data suitability of land for plantation crops. Based on the results obtained twenty eight overlay land units and land units nineteen taken as a sample. The results show the suitability of land in Bacan Island of South Halmahera District for commodity crop plantations vanilla, oil palm, coconut, nutmeg and cloves in a class of land suitability is quite suitable (S2), cocoa belongs to a class of land suitability is marginally suitable (S3) with limiting factor the relative humidity. Economic analysis for all commodities is very suitable for development and Bacan Island of South Halmahera Regency.
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Von Cossel, Moritz, Iris Lewandowski, Berien Elbersen, Igor Staritsky, Michiel Van Eupen, Yasir Iqbal, Stefan Mantel, et al. "Marginal Agricultural Land Low-Input Systems for Biomass Production." Energies 12, no. 16 (August 14, 2019): 3123. http://dx.doi.org/10.3390/en12163123.
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This study deals with approaches for a social-ecological friendly European bioeconomy based on biomass from industrial crops cultivated on marginal agricultural land. The selected crops to be investigated are: Biomass sorghum, camelina, cardoon, castor, crambe, Ethiopian mustard, giant reed, hemp, lupin, miscanthus, pennycress, poplar, reed canary grass, safflower, Siberian elm, switchgrass, tall wheatgrass, wild sugarcane, and willow. The research question focused on the overall crop growth suitability under low-input management. The study assessed: (i) How the growth suitability of industrial crops can be defined under the given natural constraints of European marginal agricultural lands; and (ii) which agricultural practices are required for marginal agricultural land low-input systems (MALLIS). For the growth-suitability analysis, available thresholds and growth requirements of the selected industrial crops were defined. The marginal agricultural land was categorized according to the agro-ecological zone (AEZ) concept in combination with the marginality constraints, so-called ‘marginal agro-ecological zones’ (M-AEZ). It was found that both large marginal agricultural areas and numerous agricultural practices are available for industrial crop cultivation on European marginal agricultural lands. These results help to further describe the suitability of industrial crops for the development of social-ecologically friendly MALLIS in Europe.
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Fauzi, Yulian, Boko Susilo, and Zulfia Memi Mayasari. "Analisis Kesesuaian Lahan Wilayah Pesisir Kota Bengkulu melalui Perancangan Model Spasial dan Sistem Informasi Geografis (SIG)." Forum Geografi 23, no. 2 (December 20, 2009): 101. http://dx.doi.org/10.23917/forgeo.v23i2.5002.
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This research is aimed to alocate land management and use coastal and ocean area Sub-Province base on digital through Geographical Information System (GIS). This research was done in the coastal area Kota Bengkulu, through spatial alocate analysis and land suitability analysis for brackish water fish ponds, maritime tourism and conservation areas. Approach used in this research is spatial analysis to parameter/variable and land suitability criteria consist of element abiotik, biotik, culture, and spatial use (RTRW). Land suitability analysis is done by using SIG through overlay technique. Result of research indicate that from 7 sub district of coastal area of exist in Kota Bengkulu, land suitability (S1) for brackish water fish ponds are found in sub-district Muara Bangkahulu and Kampung Melayu. Land suitability (S1) for the maritime tourism are found in sub-district Teluk Segara and Ratu Samban, while Land suitability (S1) for conservation area of are found in sub-district Kampung Melayu.
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Kokhan, Svitlana, Antonina Moskalenko, and Oleg Drozdivskyi. "Quantitative Land Suitability Mapping for Crop Cultivation." Communications - Scientific letters of the University of Zilina 20, no. 3 (September 30, 2018): 77–83. http://dx.doi.org/10.26552/com.c.2018.3.77-83.
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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.
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Li, Guiying, Joseph P. Messina, Brad G. Peter, and Sieglinde S. Snapp. "Mapping Land Suitability for Agriculture in Malawi." Land Degradation & Development 28, no. 7 (May 16, 2017): 2001–16. http://dx.doi.org/10.1002/ldr.2723.
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Qiu, Fang, Bryan Chastain, Yuhong Zhou, Caiyun Zhang, and Harini Sridharan. "Modeling land suitability/capability using fuzzy evaluation." GeoJournal 79, no. 2 (September 20, 2013): 167–82. http://dx.doi.org/10.1007/s10708-013-9503-0.
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Harahap, Fitra Syawal, R. Rahmaniah, Simon Haholongan Sidabuke, and Muhammad Zuhirsyan. "EVALUASI KESESUAIAN LAHAN TANAMAN SORGUM (Shorgum bicolor) DI KECAMATAN BILAH BARAT, KABUPATEN LABUHANBATU." Jurnal Tanah dan Sumberdaya Lahan 8, no. 1 (December 31, 2020): 231–38. http://dx.doi.org/10.21776/ub.jtsl.2021.008.1.26.
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Sorghum has great potential to be cultivated and developed commercially because it has wide adaptability, high productivity, is resistant to plant pests and is more resistant to marginal conditions. Land evaluation is useful as a basis for sector development in an area that is useful for reorganizing the existing land use to assist in making land use planning decisions. This study that was aimed to evaluate land suitability for sorghum was conducted descriptively using the survey method. The sampling method used was based on a land map unit with a free grid system. The land evaluation was carried out by matching and comparing land characteristics with land suitability class criteria to obtain land suitability classes for sorghum plants in Bilah Barat District, Labuhanbatu Regency. There were six soil sample points collected at a depth of 0-60 cm to determine the value of soil characteristics. The results showed that the cultivated sorghum in Bilah Barat District, Labuhanbatu Regency of 12,829 ha which has the actual land suitability class for sorghum is Nwa with the potential land suitability class is S2tcwa.
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Zhou, Yan, Ming Luo, and Zhong Ke Bai. "Land Reclamation Zoning and Evaluation of Land Suitability in Mining Areas in China." Advanced Materials Research 726-731 (August 2013): 4751–59. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4751.
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Different types of reclaimed land require different land reclamation techniques. This study uses previous research to divide the mining areas in China into 10 land reclamation zones according to the climatic zones, soil conditions and the distribution of mines. The country is divided into the following zones: the northeast plains and hills region, the Huang-Huai-Hai Plain region, the Yangtze River Basin region, the southwest mountainous and hilly region, the central mountainous and hilly region, the southeast coast hilly region, the northwest arid semi-arid region, the Loess Plateau region, the Inner Mongolian grasslands region, and the Tibetan Plateau region. The subsided, excavated and occupied lands in the mining areas are divided into two categories, suitable for reclamation and unsuitable for reclamation, based on geological and geomorphological characteristics, climate, hydrology, soil conditions, and social demand. In addition, the suitability of waste land in each area is evaluated. This study provides a basis for waste land reclamation in Chinas mining areas.
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Jing, Wenli, Kanhua Yu, Lian Wu, and Pingping Luo. "Potential Land Use Conflict Identification Based on Improved Multi-Objective Suitability Evaluation." Remote Sensing 13, no. 12 (June 20, 2021): 2416. http://dx.doi.org/10.3390/rs13122416.
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Accurately identifying potential land use conflicts (LUCs) is critical for alleviating the ever-intensifying contradictions between humans and nature. The previous studies using the method of suitability analysis did not take full advantage of the current land use and multi-function characteristics of land resources. In this study, an improved model of suitability analysis was realized. In order to explore the LUCs status, including the types, intensity and distribution, a multi-objective suitability evaluation model was constructed from the perspective of production-living-ecological functions. And it was applied to Hengkou District, a typical region of the Qin-Ba mountainous area in the central part of China. The results show that the suitability distribution of living- production-ecological functions vary widely from the center to the periphery with altitude in Hengkou District; 22.03% of the land is at a risk of land use conflict. Among them, the high potential conflict areas account for 55.32%, and the conflicts between production and ecological lands (L2P1E1, L3P1E1) are the largest, which are located at the fringe of the central urban and ecologically dominant area. Therefore, it is necessary to adopt effective strategies to achieve a balance between the differential demands of land use. This research could better reflect the true situation of land use in ecologically sensitive mountainous areas and would provide theoretical and methodological support for the identification and prevention of potential LUCs.
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Møller, Anders Bjørn, Vera Leatitia Mulder, Gerard B. M. Heuvelink, Niels Mark Jacobsen, and Mogens Humlekrog Greve. "Can We Use Machine Learning for Agricultural Land Suitability Assessment?" Agronomy 11, no. 4 (April 7, 2021): 703. http://dx.doi.org/10.3390/agronomy11040703.
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It is vital for farmers to know if their land is suitable for the crops that they plan to grow. An increasing number of studies have used machine learning models based on land use data as an efficient means for mapping land suitability. This approach relies on the assumption that farmers grow their crops in the best-suited areas, but no studies have systematically tested this assumption. We aimed to test the assumption for specialty crops in Denmark. First, we mapped suitability for 41 specialty crops using machine learning. Then, we compared the predicted land suitabilities with the mechanistic model ECOCROP (Ecological Crop Requirements). The results showed that there was little agreement between the suitabilities based on machine learning and ECOCROP. Therefore, we argue that the methods represent different phenomena, which we label as socioeconomic suitability and ecological suitability, respectively. In most cases, machine learning predicts socioeconomic suitability, but the ambiguity of the term land suitability can lead to misinterpretation. Therefore, we highlight the need for increasing awareness of this distinction as a way forward for agricultural land suitability assessment.
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Sharififar, Amin. "Assessment of different methods of soil suitability classification for wheat cultivation." Journal of Agrobiology 29, no. 2 (December 1, 2012): 47–54. http://dx.doi.org/10.2478/v10146-012-0008-0.
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Abstract This study investigated the impact of soil temperature and soil moisture on the virulence To protect soil resources and also to achieve optimal crop production, it is essential to dedicate the most suitable land to a specific land use. Achieving this goal is possible through land use planning in conjunction with land evaluation. In this study a land suitability evaluation was carried out for wheat (Triticum aestivum) cultivation, and was performed in the Bastam region located in the north east of Iran. 104 soil profiles were sampled and 11 land units were separated. In order to find out the most correct method of physical land suitability evaluation, three methods of combining soil criteria for soil index calculation for wheat production were tested. These methods are based on parametric and maximum limitation approaches, and the results of each method were compared with the observed yield. Ultimately, the maximum limitation method was found to be the best method and was used for classification of the suitability of the study area lands for wheat cultivation. The varying results of applying different ways of evaluation in this study indicate that the accuracy of the method of land evaluation adopted should be checked before using the results for any purposes.
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Juniarti, Juniarti, Yulnafatmawita Yulnafatmawita, and Sudewi Isminingsih. "EVALUASI KESESUAIAN LAHAN DAN POTENSI PRODUKSI TANAMAN MANGGIS (Garcinia mangostana L.) DI KAB.50 KOTA." Jurnal Solum 5, no. 1 (January 2, 2008): 14. http://dx.doi.org/10.25077/js.5.1.14-22.2008.
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This research discusses the land suitability of mangosteen field in Kab.50 Kota Kota Payakumbuh, predict production potential of mangosteen based on the climate suitability, soil and management its field. Composite soil sample is taken through drilling 0 – 60 cm which is carried out on research site. Quantitative model from FAO (1976) is used to evaluate the land suitability. This model combines enviromental data, climate and soil condition (soil physic and chemistry characteristic), so that production potential of field based on climate (Climate Production Potential = CPP) can be maesured quantitatively. By entering the real data of plant production, this model can predict the real plant production in a field (Land Production Potential = LPP). Result of this research shows that climate and physical condition of land are very suitability to grow mangosteen, and its level appropriateness is S1 (very suitability). Then, production potential 3 – 12 ton/ha/year can be increased to > 15 ton/ha/year if the management of land is improved.Key Words : Land suitability evaluation, Climatic Production Potential, Land Production Potential
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QUAN, Bin, He-Jian ZHU, Song-Lin CHEN, M. J. M. RÖMKENS, and Bi-Cheng LI. "Land Suitability Assessment and Land Use Change in Fujian Province, China." Pedosphere 17, no. 4 (August 2007): 493–504. http://dx.doi.org/10.1016/s1002-0160(07)60059-9.
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Gasser, P. Y., C. A. S. Smith, J. A. Brierley, P. H. Schut, D. Neilsen, and E. A. Kenney. "The use of the land suitability rating system to assess climate change impacts on corn production in the lower Fraser Valley of British Columbia." Canadian Journal of Soil Science 96, no. 2 (June 1, 2016): 256–69. http://dx.doi.org/10.1139/cjss-2015-0108.
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The land suitability rating system (LSRS) is a spatial modeling tool that generates a class rating for parcels of land for specific agricultural crops based on a soil–climate–landscape potential. We applied the LSRS module for corn suitability to the agricultural portion of the lower Fraser Valley of British Columbia (BC). We used data from six UN-IPCC AR4 projections covering a range of cold to hot and wet to dry scenarios for the time periods 2010–2039, 2040–2069, and 2070–2099 to assess the impacts of climate change on corn production. To obtain satisfactory spatial results, we linked high-resolution (400 m grid) monthly temperature and precipitation values to the individual polygons of a detailed (1 : 25 000 scale) soil map available for the study area. Of the six future climate scenarios evaluated, the Goddard Institute for Space Studies (GISS_EH-A1B/3) yielded the most favourable results whereby land suitability for corn without irrigation remained relatively stable through the 21st century. Conversely, the Hadley Centre Global Environmental Model (HadGEM-A1B/1) projected a large drop in land suitabililty for corn due to increased climatic and soil moisture deficits. The wide range of climate scenario inputs generated a similarly wide range of LSRS ratings. Most scenarios generated positive impacts for land suitability up to mid-century but negative impacts by late century. Overall, increased heat and aridity will produce earlier harvest dates for corn and likely mean significant changes to the types and timing of crop management practices in the region.
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Widodo, Prasetyo, and Rian Susila. "ANALISIS KESESUAIAN LAHAN AGROFORESTRI BERBASIS SISTEM INFORMASI GEOGRAFI (SIG) DI DESA SINDULANG KABUPATEN SUMEDANG." Wanamukti: Jurnal Penelitian Kehutanan 21, no. 2 (March 5, 2020): 125. http://dx.doi.org/10.35138/wanamukti.v21i2.167.
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The condition of social, economic, and culture of forest community has effect to forest condition. Desa Sindulang is one of village that community forest in Taman Buru Masigit Karembi that has majority of farmer and low economic condition. But commodity planting is carried out without an evaluation of the land to determine the level of suitability of the land with the commodities planted. The method by overlay Land Mapping Unit with society land use then analyze of matching suitability land. The results of evaluation divided in 3 units, are : 1) unit I which have land suitability class values with forestry commodities such as Suren (Toona sureni) and Coffee (Coffea Arabica) while agricultural commodities such as Broccoli (Brassica oleracea), Chili (Capsicum annum), Banana (Musa acuminate) and Cabbage (Brasica oleracea). 2) Units II which have land suitability class values with forestry commodities such as Suren (Toona sureni) and Coffee (Coffea arabica) while agricultural commodities such as Tomato (Solanum lycopersicum). 3) Units III which have land suitability class values with forestry commodities such as Suren (Toona sureni), Africa (Maesopsis eminii) and Coffee (Coffea arabica) while agricultural commodities such as Tomato (Solanum lycopersicum), Eggplant (Solanum melongena) Broccoli (Brassica oleracea), Chili (Capsicum annum), Cabbage (Brasica oleracea) and Pineapple (Ananas Comosus).Keywords : Agroforestry, Land suitability, Sindulang Village
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Simanjuntak, Januardi Fransiskus, Christanti Agustina, and Mochtar Lutfi Rayes. "EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN CABAI RAWIT DI KECAMATAN WAGIR, KABUPATEN MALANG." Jurnal Tanah dan Sumberdaya Lahan 8, no. 1 (December 31, 2020): 259–71. http://dx.doi.org/10.21776/ub.jtsl.2021.008.1.29.
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Land characteristics are factors that affect crop productivity. Different conditions of land characteristics will cause differences in crop productivity. Evaluation of land suitability can be used as a basis in assessing land quality to determine the factors of land characteristics that cause differences in crop productivity. The purpose of this study was to determine actual land suitability for cayenne pepper, determine which land characteristic affect crop productivity, and modify land suitability based on actual productivity suitability classes. This study was conducted in Wagir District, Malang Regency with a survey method on 8 Land Map Units (LMU) with 42 observation points. Quantitative parameters observed in this study include soil texture, pH, CEC, C-Organic, base saturation, N-total, P-available, exchangeable K, Ca, Mg, Na, and productivity of cayenne pepper in the field. Data analysis was performed by correlation test and multiple regression with the stepwise method. The results showed the actual land suitability class of cayenne pepper in the study area was S3 and N. Modifications to the characteristics of the land that most influence the productivity of cayenne pepper in the field, namely the pH of the soil produce new criteria with classes S1: 6.0-7.6; S2: 5,7–6,0; S3: 4,6-5,7; and N: <4,6. The land suitability assessment using the modified criteria resulted in the S3 conformity class, which was similar to the percentage productivity class and the N conformity class that was similar to the percentage productivity class.
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Ferdinandus, Magdalena V., Conradus Ufie, and Simson Liubana. "KARAKTERISTIK LAHAN DAN KONSTRUKSI TABEL KEBUTUHANNYA BAGI PENGEMBANGAN ATUNG (Parinarium glaberimum Hassk) DI NEGERI HARUKU." JURNAL BUDIDAYA PERTANIAN 13, no. 1 (July 1, 2017): 42. http://dx.doi.org/10.30598/jbdp.2017.13.1.42.
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This research was conducted on sample area where Atung plant grow, focused on the Land “Petuanan” of Haruku village in Haruku small Island-Central Maluku Regency, from December 2016 till May 2017. The aims of this research were: 1) to assess the physical characteristics of land affecting the growth and production of Atung plant at the study area; 2) to elaborate the physical essential information and necessary data on the basis of literature and field review in constructing the land suitability table for the Atung Plant (as a preliminary approach); 3) to implement or test the appropriate land suitability table for the land suitability evaluation of Atung based on available biophysical land characteristic data. The method used in this study was a library study and field survey using the distance of flexible transect observation in accordance with the conditions where Atung grows. The results of this study consisted of the land characteristics data for Atung plant; i.e. climate, topography, and soil. The study of land characteristics obtained from the literature, field review and knowledge of the local community and construction of the land suitability table for Atung, an appropriate test in the Waai village showed that the land suitability category as the S3 class with the limiting factor was pH value that was easily improved and upgraded to the suitability class of S2/S1.
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Misi, Sukmawati, Murdiyanto Murdiyanto, and Grace F. E. Suoth. "EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN KACANG TANAH DI SUB DAS PANASEN KABUPATEN MINAHASA." GEOGRAPHIA : Jurnal Pendidikan dan Penelitian Geografi 1, no. 2 (January 26, 2021): 41–46. http://dx.doi.org/10.53682/gjppg.v1i2.768.
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Peanut is a plant that has an important role in land and has a high selling value. Therefore it is necessary to take appropriate steps to develop peanut cultivation in the Panasen Sub-watershed by knowing the level of land suitability. The problems faced by the community are 1) lack of interest in the community to plant peanuts, 2) land-use change from agricultural land to lodging land 3) land evaluation has never been carried out for peanut plants in the area. The study used a land unit approach supported by soil analysis, plant growth requirements, and matching. The results showed that the research area was classified as suitable for peanut plants with a suitability class S2 (quite suitable) with a total of 4 land units, namely S2rfns (945.41 ha), S2sn (1675.15 ha), S2srn (938.05 ha), S2sn (13.45 ha) and class suitability of S3 (according to marginal) with 2 land units, namely S3s (12.95 ha), S3s (15.67 ha). The limiting factors for suitability class S2 are root media (r), nutrient retention (f), nutrient availability (n) and terrain (s). The limiting factor for suitability class S3 is the field (s). The limiting factor for N1 land suitability is nutrient availability (n), root media (r) and terrain (s). The limiting factors for conformity class N2 are the field (s) and the rooting medium (r).
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Zheng, Wen Hui. "Method and Research Development of Constructive Land Suitability Evaluation Based on GIS." Advanced Materials Research 243-249 (May 2011): 5818–21. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.5818.
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Constructive land suitability evaluation is the premise of effectively disposing land resource. China is in the historical period that urbanization develops fleetly; the demand of construction land grows rapidly; carrying on the research about method of constructive land suitability evaluation presents strong practical significance and broad application prospect. The paper summarizes basic analysis method of constructive land suitability evaluation based on GIS from five basic links which cohere each other, and then introduces the research development of constructive land suitability evaluation from angles of ensuring evaluation factor and factor weight, evaluation factor classification, land classification. Finally, the paper analyses research direction of this work from angles of consummating the evaluation method and using new mathematical method, releasing the related criteria by government department, and the combination between urban extended model, area development strategy, and GIS.
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Harahap, Fitra Syawal. "EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN KACANG TANAH DI KELURAHAN PARDAMEAN KECAMATAN RANTAU SELATAN." JURNAL AGROPLASMA 8, no. 1 (May 20, 2021): 11–17. http://dx.doi.org/10.36987/agroplasma.v8i1.2093.
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Land evaluation is useful as a basis for sector development in an area that is useful for reorganizing existing land use so as to assist in making land use planning decisions. Peanuts have great potential to be cultivated and developed commercially because they have wide adaptability, high productivity, are resistant to plant pests, and are more resistant to marginal conditions. This research is descriptive with survey methods. The sampling method used is based on land map units with a free grid system for data. climates classified by climate type Schmidt and Ferguson. The land evaluation was carried out using the matching method by matching and comparing land characteristics with land suitability class criteria so that to obtain land suitability classes for peanut plants in Rantau Selatan District, Labuhanbatu Regency, there were 6 sample points so that the determination of soil characteristics values for soil samples was carried out using a soil drill tool. at a depth of 0-60 cm. Research results for peanut plants in Pardamean Village, Rantau Selatan District according to marginal / S3. Land suitability for peanut plants cultivated in Rantau Selatan District Labuhanbatu Regency 2.017 ha. The actual land suitability class for peanut plants is Nwa, while the potential land suitability class is S2tcwa.Keywords: Land Evaluation, Peanut Plants, Rantau Selatan, Labuhanbatu
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Jafarzadeh, A. A., P. Alamdari, M. R. Neyshabouri, and S. Saedi M R N. "Land suitability evaluation of bilverdy research station for wheat, barley, alfalfa, maize and safflower." Soil and Water Research 3, Special Issue No. 1 (June 30, 2008): S81—S88. http://dx.doi.org/10.17221/15/2008-swr.
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In the present study and research work, land suitability evaluation (qualitative classification) was made for the Bilverdy research station of the Islamic Azad University in East Azarbaijan for wheat, barley, alfalfa, maize and safflower. The Simple Limitation Method (SLM), the Limitation Method regarding Number and Intensity (LMNI) and the Parametric Methods (PM) such as the square-root and the Storie methods were used. The landscape, climate and soil and characteristics that influence suitability of the land for particular crops have been combined according to the adopted methodology. Economic factors were excluded and moderate level of management was assumed. The results of different methods show that the most important limiting factors are climate, pH, organic matter (OM), gravel, salinity and sodicity, taken either alone or in combination. For safflower, the cation exchange capacity (CEC) can be added to these factors. Evaluation by the SLM and LMNI methods result in similar suitability classes, which confirms previous findings by other researchers for the same crops. However, in many cases the use of parametric methods, especially the square-root method, turned to be more realistic in distinguishing separate suitability classes. This study not only compares different methods and their results but also evaluates the suitability of the study area for particular crops. According to the square-root method, the area can be recommended as marginally suitable for cultivation of wheat, barley, alfalfa and safflower and is expected to yield about 40–65% of optimal production.
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Mohammad, Alsharifa Hind, Taleb Odeh, Maha Halalsheh, and Khaldoun Shatanawi. "DETECTING LAND USE/COVER DYNAMICS AND LAND SUITABILITY MAPPING FOR IRBID GOVERNORATE USING AN INTEGRATED APPROACH." Journal of Environmental Engineering and Landscape Management 29, no. 3 (August 26, 2021): 263–72. http://dx.doi.org/10.3846/jeelm.2021.15150.
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This research proposes to design an approach recognizing land use/cover change for Irbid governorate from 1985 to 2015 in 10 years period bases, with an agriculture suitability map using remote sensing and GIS. In this paper, ENVI6 was used to analyse Landsat images, which helps to understand the land uses’ classes. LULC Changes results showed an increase in urban land, from 2% in 1985 reached to 11% in 2015; soil and agricultural classes had declined, in 1985 they were 74% of the total area, and reduced to 67% in 2015. Irbid Governorate’s change detection results revealed that the decline of agriculture and rock land areas is due to the accelerated expansion of urbanization, which negatively affects agricultural lands. Modelling the area showed high suitability for agricultural activities, which should be considered for the upcoming plans.
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ARDIANSYAH, ARDIANSYAH, SIDHARTA SAHIRMAN, M. RIF'AN, and EDY H. P. MELMAMBESSY. "Analisis Kesesuaian Lahan untuk Padi di Distrik Semangga, Kabupaten Merauke." Journal of Regional and Rural Development Planning 1, no. 1 (February 28, 2017): 87. http://dx.doi.org/10.29244/jp2wd.2017.1.1.87-97.
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This study aimed to determine the land suitability for paddy plantation in Semangga subdistrict, Merauke Regency, Papua Province and to identify any treatments that needs to be taken to promote the land suitability classes. The information on land suitability is important to determine the treatment required in land preparation in order to achieve optimal production. Survey was conducted to collect necessary data which includes climate data, nutrient content (N, P, K available), Cation Exchange Capacity (CEC), pH, and toxicity. These data are interpolated within the area of Semangga subdistrict and classified based on the criteria developed by Indonesian Soil Research Institute - Ministry of Agriculture and FAO. Overlay analysis is performed in order to determine land suitability classes and the dominant limiting factor. Criteria for determining the suitability classes was taken from the lowest class of land unit. The results showed that the area of 1% (360.09 hectare) is classified as class of S2wfn, 55.8% (19,495.83 hectare) as class of S3n, 7% (2,431.83 hectare) as class of S3np, 35.3% (12,349.74 hectare) as class N1n, and 0.9% (306.6 hectare) as class of N2f. The finding of land suitability classes and its dominant inhibitory factor can be used then to determine the proper land treatment planning such as fertilization, liming, and drainage system design.
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Chairunnisa, Chaida, Khursatul Munibah, and Widiatmaka Widiatmaka. "PERUBAHAN PENGGUNAAN LAHAN DAN POTENSI PERLUASAN LAHAN UNTUK SAWAH DI KABUPATEN CIANJUR." Jurnal Ilmu Tanah dan Lingkungan 19, no. 1 (March 28, 2019): 33–40. http://dx.doi.org/10.29244/jitl.19.1.33-40.
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Population growth, increasing income, and the rapid economic development create complexity of land issues. Land has a central role in food production, however demand for land increased significantly to meet the needs of the population. Cianjur Regency is one of regencies in the southern part of West Java Province with the largest paddy field area. However, paddy field conversion into non agricultural land or another agricultural land resulted in the decrease of paddy field area. Therefore, in the context of maintaining the availability of rice in Cianjur Regency, this study aimed to: (1) analyze the patterns of land use/land cover, (2) evaluate land suitability for paddy field, and (3) analyze the potency of land for paddy field expansion. Land use change was identified using Landsat imagery of 2000 and 2015 by using fusion techniques. Land suitability for paddy field was analyzed using limiting factor method. Potential for paddy field expansion was analyzed according to land suitability and agricultural land allocation in official regional land use plan map (“RTRW”). The results showed that in the period of 2000 to 2015, most of paddy field were converted into settlements. Land suitability classes for paddy field in Cianjur Regency were not suitable (N) (61.19%), suitable (S2) (9.53%), and marginally suitable (S3)(29.28%). Cianjur Regency still has the potency of land to be used for paddy field expansion of 148,980 ha. Keywords: Land use change, potential area for paddy field priority, land suitability for paddy field
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Fang, Jun, Le Jie Wang, Guang Wei Zhang, Xin Kuan Cao, and Wei Li. "Study on the Suitability of Land Reclamation in the Plain Mining Areas with High Phreatic Water Level." Advanced Materials Research 518-523 (May 2012): 4564–67. http://dx.doi.org/10.4028/www.scientific.net/amr.518-523.4564.
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Suitability evaluation plays a determining and crucial role in the preliminary and terminal stages of the land reclamation, which is carried out to prove the suitability of land reclamation from the perspective of technology, society and ec onomy based on scientific technology, economic technology, Informatics, Prognostics and Mathematical statistics. Besides soil, climate, topography, water, farming practices, phreatic level also matters a lot for the suitability evaluation. Therefore, the present paper studies the land reclamation suitability in the plain mining areas with high phreatic water level, which will be supportive to determine the reclamation direction and allocate the land resources in reclamation areas.
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Morales, Florentino, and Walter Timo de Vries. "Establishment of Land Use Suitability Mapping Criteria Using Analytic Hierarchy Process (AHP) with Practitioners and Beneficiaries." Land 10, no. 3 (February 25, 2021): 235. http://dx.doi.org/10.3390/land10030235.
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The presence of land use conflicts is often unavoidable as land is finite and a scarce resource. With development as a prime goal, the increasing demands for specific uses make the situation more serious than it was before. In the context of land uses, suitability determines the inherent capacity of the land to perform a defined use with optimum efficiency and sustainability. However, single land use suitability analysis could not answer the overall objective of land allocation. Thus, this study considers the primary and general land uses with the valuable evaluation criteria necessary for simultaneous land use suitability analyses. This paper aims at establishing the relevant and necessary evaluation criteria for Multicriteria Evaluation (MCE) using the Analytic Hierarchy Process (AHP) for land use suitability analysis for residential, industrial, commercial, agricultural, and forest land uses. The factors which could be used as indicators in land suitability analysis were derived from both literature review and through experts’ knowledge. Correspondingly, the relative importance (weights) of the criteria established were derived using pairwise comparisons through the AHP technique readily available for subsequent GIS analysis. Last, the criteria developed are general in nature and could be replicated and/or altered depending upon the local needs and situations.
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Farook, Nada, Ahmad S. Muhaimeed, and K. A . AL KASSEY. "The Status of Temporal Changes in Land Suitability for Wheat Production in Musayeb Project Irrigated from Central Iraq Using GIS." Al-Qadisiyah Journal For Agriculture Sciences (QJAS) (P-ISSN: 2077-5822 , E-ISSN: 2617-1479) 7, no. 2 (April 14, 2018): 155–63. http://dx.doi.org/10.33794/qjas.vol7.iss2.37.
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Musayeb project in Babylon province has been selected in middle of Iraq to represent the irrigated area in order to study land suitability for wheat production and their temporal changes during 1994 - 2013.Soils of Musayeb project consist of undeveloped belong ,mainly to Entisols order with about 97% from the total area of the project , while the Arid soils occupied about 3 % from the total area .Data about the soils of the project has been collected from previous pedagogical soil survey works done in 1994 and resampling for soil has been done in 2013 in order to show the temporal changes in land suitability values .Land suitability evaluation values are determined according to Sys et.al.1993 and FAO,1985 to soil depth of 100 cm .The results indicate that soil units have high suitability up to 85 % from the total area of the project and within S1 class in 1994. While , 13% of the total area is unsuitable for wheat production which represent N1and N2 classes due to the effect of salt accumulation.Also , the results show that all soil units have low organic carbon content which affect land suitability values. Land suitability values are temporally improved from 1994 to 2013 due to the effect of land management practices leading to decrease salinity level and increase land suitability for wheat production
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Suriadi, Ahmadi, Fitria Zulhaedar, and Moh Nazam. "Productivity and profitability of peanut at various land suitability in North Lombok Regency of Nusa Tenggara Barat Province." Ilmu Pertanian (Agricultural Science) 6, no. 2 (July 26, 2021): 99. http://dx.doi.org/10.22146/ipas.64336.
Full textAbstract:
Peanuts (Arachis hypogaea L.) are the second main commodity in the annual cropping pattern in lowland and dryland in North Lombok District of NTB Province. However, peanut productivity is still low, and it varies across regions, which might be due to the traditional crop management of farmers and the difference in land suitability classes. Effects of crop varieties and land suitability on the peanut productivity have not been evaluated in the Region. Thus, this study aimed to evaluate the productivity and profitability of peanut varieties at various land classification in KLU NTB. The experiment was arranged in a Split Plot Design consisting of three classes of land suitability as main plot and six peanut varieties as sub-plot with three replications. The results showed that the land suitability classes have a significant effect on the agronomic variables of peanut varieties, including plant height, number of branches, number of pods and productivity. The highest peanut yield was obtained at suitable land class (S1), followed by moderately suitable land class (S2) and marginally suitable land class (S3) at 2.37 ton.ha-1, 2.08 ton.ha-1 and 1.71 ton.ha-1, respectively. Likewise, the R/C ratio follows a similar pattern to productivity in various land suitability classes. The highest yield (above 2 ton.ha-1) in each land suitability class was produced by Kelinci variety, followed by Tuban, Bima and Talam varieties. Those varieties have potential prospective to be developed in North Lombok Regency.
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Safitri, Sitarani, Ketut Wikantika, Akhmad Riqqi, Albertus Deliar, and Irawan Sumarto. "Spatial Allocation Based on Physiological Needs and Land Suitability Using the Combination of Ecological Footprint and SVM (Case Study: Java Island, Indonesia)." ISPRS International Journal of Geo-Information 10, no. 4 (April 12, 2021): 259. http://dx.doi.org/10.3390/ijgi10040259.
Full textAbstract:
Indonesia currently has 269 million people or 3.49% of the world’s total population and is ranked as the fourth most populous country in the world. Analysis by the Ministry of Public Works and Public Housing of Indonesia in 2010 shows that Java’s biocapacity is already experiencing a deficit. Therefore, optimization needs to be done to reduce deficits. This study aims to optimize and assess spatial allocation accuracy based on land-use/land cover suitability. In this study, the ecological footprint (EF) is utilized as a spatial allocation assessment based on physiological needs. The concept of land suitability aims for optimal and sustainable land use. Moreover, the land suitability model was conducted using the support vector machine (SVM). SVM is used to find the best hyperplane by maximizing the distance between classes. A hyperplane is a function that can be used to separate land-use/land cover types. The land suitability model’s overall-accuracy model was 86.46%, with a kappa coefficient value of 0.812. The final results show that agricultural land, plantations, and pastureland are still experiencing deficits, but there is some reduction. The deficit reduction for agricultural land reached 510,588.49 ha, 18,986.14 ha for plantations, and 1015.94 ha for pastures. The results indicate that the SVM algorithm is efficient in mapping the land-use suitability and optimizing spatial allocation.
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Nugraha, Asep Anwar, Widiatmaka Widiatmaka, and Irman Firmansyah. "ARAHAN PENGEMBANGAN LAHAN UNTUK PADI SAWAH DI KABUPATEN BANDUNG BARAT, JAWA BARAT." TATALOKA 21, no. 3 (August 31, 2019): 390. http://dx.doi.org/10.14710/tataloka.21.3.390-406.
Full textAbstract:
Rice is still a staple food in Indonesia, including in West Bandung Regency West Java Province. West Bandung regency was reached food self-sufficiency in 2010. The objectives at this study were: i) to identify land use land cover (LULC) in West Bandung; ii) to analyze suitability and availability for paddy field in West Bandung and iii) to arrange the direction of rice field development in West Bandung. Data analysis using geografis information system (GIS). Identify land use land cover by interpretation of SPOT imagery 6 2016. Analysis of the suitability and availability of paddy fields by overlapping land use maps, maps of forest areas and soil maps. The direction of paddy fields development based on actual land and a potential land of paddy fields. The alignment of wetland land use by overlapping maps of suitability and availability of land and spatial pattern patterns (RTRW) Kabupaten Bandung Barat 2009-2029. The result of land use interpretation is dominated by forest area of 37,335 ha, while paddy field area 15,953 ha. Land suitability evaluation consists of suitable (S2) and marginally suitable (S3) using matching criteria. The analysis result shows that the land suitability and available for paddy field was 25,147 ha. Direction of land development for Paddy field area was directed to actual paddy field largely 14,923 ha for intensification and potential land available for paddy field largely 10,224 ha for extensification. The land use of paddy fields has alignment with RTRW covering 2,018 ha and recommended as sustainable food agriculture land.