Land Suitability Research Articles

Agricultural land suitability analysis in Manipur, India using GIS and AHP

This article aims to identify potential sites for agricultural use in the state of Manipur of north east India by employing the analytic hierarchy process in a geographic information system environment in conjunction with the use of remote sensing and soil data. Within the analytic hierarchy process, each terrain variable underwent a pairwise comparison and criteria weights were assigned according to their relative importance. Eight variables were selected and used in land suitability analysis for agriculture. It was found that Manipur had 57% (12,660 km2) of its total geographical area suitable for agriculture. However, 8126 km2 (37%) and 1374 km2 (6%) of the total geographical area was currently and permanently unsuitable land respectively. The distribution of suitable land varied greatly, with highly, moderately and marginally suitable land covering only 8%, 16% and 33% respectively of the total geographical area. The highly suitable agricultural land is predominantly concentrated in the Imphal valley (70%), though 90% of moderately suitable and 96% of marginally suitable land also exist in the hills. The hilly areas constitute 96% and 97% respectively of currently unsuitable and permanently unsuitable land in the state. Suitable land comprises of land with low to medium altitude, gentle to moderate slopes, soil of fine or acceptable quality, and with minimal flood risk. Unsuitable lands tend to be diametrically opposite to these attributes with steep hill slopes. The nature of distribution of land suitability types influences the agricultural pattern in Manipur. Agriculture in the hill areas comprises mainly of shifting cultivation on hill slopes, whereas in the valley region it is irrigated and permanent. This analysis of Manipur has a wider applicability since the shifting cultivation-irrigated agriculture combination is similar to that which exists across much of the highlands of South East Asia.

Level of Land Adjustment Durian (Durio zibethinus Murr.) in District Sigumpar District Toba

Utilization of land for other uses in Sigumpar District needs to be supported by information regarding land suitability. Therefore, an evaluation of the characteristics of the level of land suitability in the area was carried out, to analyze improvement efforts aimed at increasing productivity, as well as to create a map of actual land suitability and potential land suitability for durian plants in the district. The method used is the survey method. Land units are based on soil maps, slope maps, altitude maps, land cover maps, consisting of 6 land units and 18 points. The analysis method is the comparing (matching) method. The results of the research show that the level of land suitability for durian plants (Durio zibethinus Murr.) The actual land conditions suitable for durian cultivation in Sigumpar District are 1,856.22 ha. (2) Potential land conditions suitable for durian cultivation in Sigumpar District are 1,726.22 ha. Where limiting factors that cannot be remedied are temperature and soil texture, while limiting factors such as nutrient retention, nutrient availability, water availability and erosion hazards can be remedied in the form of: (1). Liming and fertilization adjusted to the results of soil tests on the land. Making drainage channels, planting parallel to contours, and making terraces. Keywords: land suitability evaluation, durian plant, utilizzation of other area, subdistrict of Sigumpar

Evaluating Land Suitability for Wheat Cultivation Criteria Analysis Fuzzy-AHP and Geospatial Techniques in Northern Basrah Governorate.

Land suitability assessment is essential for planned land management strategies aimed at preserving soil and increasing productivity while ensuring sustainable agricultural production. Land degradation resulting from poor land management and fallowing practices typically leads to low land productivity in Iraq. To maintain agricultural productivity in the targeted area, agricultural requirements must align with available resources through land suitability analysis. In the northern region of Basrah Governorate in Iraq, the study focused on integrating GIS-based land suitability analysis with the fuzzy-analytical hierarchy process (F-AHP) approach. The analysis revealed varying suitability categories throughout the study area, with the largest proportion of unsuitable areas found in category N2, covering 31,202.36 hectares (37.76%), and category N1, currently unsuitable, covering an area of 19,956.24 hectares (24.15%). On the other hand, the moderately suitable category (S3) covered 8,297.26 hectares (10.04%), while the moderately suitable category (S2) covered 23,177.79 hectares (28.05%) of the total study area. No highly suitable lands were identified. The key determining factors for the suitability of lands for wheat cultivation were high values of electrical conductivity, carbonate minerals, bulk density, and low organic carbon content. Most agricultural lands are being used in a manner that contradicts their suitable potentials in the study area. Therefore, the pattern of agricultural land use needs to be adjusted based on their current potentials to reduce soil degradation.

Agricultural Land Suitability Assessment Based on GIS at the County Scale in Yibin, China

As agricultural land resources scarce, food security has emerged as a pressing global concern. Conducting a suitability assessment of agricultural land is crucial for agricultural resources and food security. To establish an evaluation index system, we incorporated land, water, climate, and society four dimensions of 16 indicators. And we incorporated Entropy Weight Method (EWM), an objective method, with integrated evaluation model to assess agricultural land suitability in Yibin. Based on actual agricultural production, areas of land of urban construction, rural settlement and mining and water are subtracted. The Findings found that agricultural land suitability in Yibin presented a significant spatial heterogeneity. Areas with suitability and relative suitability accounted for 57.61% of Yibin’s land areas, which suggest Yibin has an abundance of agricultural land resources. Regions moderately suitable predominantly lie in the western and southern areas, covering 32.22% of the land area. Generally suitable areas accounted for 10.03% of Yinbin’s land areas, spatial distribution of which is similar to moderately suitable regions. Moderately and generally areas are potential areas for agricultural production. And regions for unsuitable accounted for only 0.14% of land areas. Overall, results mentioned above indicate that Yibin's agricultural land resources are in good condition. Considered terrain and water sources, this study revealed that the spatial distribution of topography and annual precipitation in Yibin closely mirrored both suitable and relatively suitable regions.

Application of GIS & RS in Rainwater Harvesting for an Arid Region

In dry areas with variable rainfall, water shortages severely affect the livelihoods of local populations. Rainwater harvesting from land sites and roof-tops is a readily available solution to this problem. This study presents a GIS & RS-based methodology to identify potential land sites and roof-top rainwater harvesting potential using easily obtainable and freely available data. Slope, land cover, soil, and drainage maps were used to identify suitable rainwater harvesting land sites, which were further analyzed for surface runoff using the curve number method. This research also incorporated obtainable socio-economic factors in identifying the suitable locations of dams considering the implementation stage. Based on the proposed criteria, 44 suitable locations for dams were identified and validated using a validation map and Google Earth images. CROPWAT model analysis revealed that paddy water demand in Batticaloa would increase threefold if all available land for paddy cultivation was utilized. Therefore, abandoned lands can be utilized by erecting dams at those identified locations. Analysis of Google Earth images also revealed that roof rainwater harvesting would be sufficient to meet the basic water demand in the area. This study demonstrates that rainwater harvesting can be an effective strategy for addressing water scarcity in dry areas.

Marginal land in China suitable for bioenergy crops under diverse socioeconomic and climate scenarios from 2020 to 2100

ABSTRACT Maximizing the development of renewable energy plays a critical role in mitigating the climate crisis. Marginal land provides space for the development of biomass energy; however, it remains unclear how the amount and spatial distribution of marginal land that is suitable for energy crop development will change in the future. Here, we project energy marginal land changes in China following the shared socioeconomic pathway (SSP) and/or representative concentration path (RCP). We provide datasets of marginal land, agriculturally suitable land, and potentially suitable for energy crops under historical scenarios and six future scenarios (i.e. SSP1–1.9, SSP1–2.6, SSP4–3.4, SSP2–4.5, SSP4–6.0, and SSP3–7.0) for the period 2020–2100, with a spatial resolution of 5 km. Under the six scenarios, from 2020–2100, the area of suitable marginal land ranged from 1.90–16.28 (Jatropha curcas L.) to 37.37–73.97 (Panicum virgatum L.) (×104 km2), depending on the choice of energy crops and climate scenario. Based on the growing suitability of eight important bioenergy crops—Ricinus communis L., Saccharum officinarum L., Pistacia chinensis Bunge, Panicum virgatum L., Jatropha curcas L., Miscanthus giganteus J., Manihot esculenta Crantz, and Sorghum bicolor Moench—our dataset can be used to identify suitable locations for specific energy crops. This new synthetic dataset could support the development of multiscenario-based solutions related to carbon neutrality, ecosystem services, and energy transition.

Adaptasi Masyarakat Terkait Pencemaran Air Di Tempat Pembuangan Akhir (TPA) Sampah Ciangir Kecamatan Tamansari Kota Tasikmalaya

This research discusses community adaptation to water pollution around the Ciangir Waste Final Disposal Site (TPA), Tamansari District, Tasikmalaya City. The research method used is descriptive qualitative with a focus on community adaptation to water pollution. The research results show that the community around the Ciangir landfill has shown passive adaptation to the environmental pollution conditions that occur around them. Even though the quality of well water is affected by water pollution from the landfill, residents do not consume water from the landfill because they have access to clean wells. Water from the landfill is used only for agricultural irrigation purposes after going through a certain processing process. Apart from that, the research also found that licit water from the landfill was not significantly affected during heavy rain, but the river water around the landfill became cloudy due to the flow of rainwater which carried polluting particles. Residents around the Ciangir TPA only use water from the TPA for agricultural irrigation purposes, while for daily consumption needs, they prefer to use water from the clean wells they own. The local government does not pay adequate attention to waste management at the Ciangir landfill, which has the potential to increase the negative impact of water pollution around the landfill. The suggestion proposed is that the government immediately take steps to move the piles of rubbish to safer and more suitable empty land to reduce the impact of water pollution caused by the Ciangir landfill. In dealing with water pollution conditions around the Ciangir Waste Landfill, the community has adapted by using water from the landfill for agricultural irrigation.

Land-Water-GHG-Food Nexus performance and physical-socio-economic-policy factors influencing rice cultivation in Central Thailand

Agriculture activity contributes to greenhouse gas (GHG) emissions through its utilization of land, water, and energy for food production. Hence, the interactions between land, water, and GHG emissions in agricultural production need to be comprehensively studied. The study aimed to assess the Land-Water-GHG-Food Nexus Index (LWGFNI) of rice cultivation across various land suitability classes in Central Thailand and determining the physical, socio-economic, and policy factors that can influence farmers' decisions to choose for cultivating rice instead of shifting to other crops. The results indicated that the highest LWGFNI score was 0.69 for the rice grown in the moderate suitability land class which revealed a lower use of land and water resources as well as GHG emissions compared to other levels of land suitability. The LWGFNI scores of major rice cultivation were greater compared to the second rice in all four-land suitability. The use of fertilizers had a crucial role in enhancing productivity levels and was a significant factor in the generation of GHG emissions. Hence, improving effective production should consider the appropriate use of fertilizer. The physical, socio-economic, and policy-related aspects that significantly influenced farmers' decisions on cultivation of rice included topography, water resources, inherited professions, price guarantee, and knowledge/training factors. The methodology used and results obtained can help policy makers to plan the use of water and land resources efficiently and appropriately with local resources based on land suitability class. The assessment results revealed the GHG hotspots and the strategies to mitigate GHG emissions associated with rice cultivation.

Analisis Kesesuaian Lahan untuk Bidang Pertanian pada Komoditas Tanaman Jagung (Studi Kasus: Kecamatan Lubuk Alung, Kabupaten Padang Pariaman)

Land is an important part of human life because it is where all human activities and lives take place. Many factors, including living things, hydrology, soil and climate, affect land. This study aims to evaluate the suitability and production of corn crops in Lubuk Alung Sub-district, Padang Pariaman Regency. This research uses a quantitative approach by using the scoring method to analyze the suitability of land for corn crops in Lubuk Alung Sub-district, Padang Pariaman Regency. The results of the research are known without using land units as a reference for the assessment of the distribution of land suitability classes for corn crops in the highly suitable class (S1) 1,110.34 ha, suitable class (S2) 11,092.62 ha, marginally suitable class (S3) 2,593.24 ha, and unsuitable class (N) 433.63 ha. While using the land unit as a reference for assessing the distribution of land suitability classes for corn crops in the highly suitable class (S1) 827.01 ha, suitable class (S2) 5,047.73 ha, marginally suitable class (S3) 1,598.06 ha, and unsuitable class (N) 7,757.04 ha. From the estimation of production yield calculation, it is known that on land with a very suitable suitability class (S1) the production yield reaches 19,753.7 kg/ha, suitable class (S2) the production yield reaches 16,833.6 kg/ha, marginal suitable class (S3) the production yield reaches 14,892.5 kg/ha, and unsuitable class (N) the production yield reaches 14,146.3 kg/ha.

Land Suitability Assessment Gambir Commodities (Uncaria gambir Roxb.) In Pakpak Bharat Distric Scale 1 : 50.000

Gambier (Uncaria gambier Roxb.) is a cultivated plant regeneration in Pakpak Bharat. Gambir extract benefits as well as the pharmaceutical industry and traditional is quite interested so that market opportunities gambier quite open for the domestic market and abroad. Land potential and development opportunities gambir high enough, it is in the use of plantation area of 1,225 ha and optimization of dry land area of 16.049,6 ha (Pakpak Bharat in Figures, 2022). Gambier development in Pakpak Bharat tends to increase, so it is necessary to study the suitability of land to see the direction of the development of the appropriate location. This assessment was conducted by using ALES (Automated Land Evaluation System). SDPLE (Standard Procedure for Land Evaluation) data was imported to ALES program. Land evaluation result was show in spatial form. This form made by imported tabulation data to GIS (Geographical Information System) form. Suitability land maps (scale 1 : 250.000) present based on each commodities by ArcView program. Key words : Land Suitability, gambier, Pakpak Bharat

ASSESSMENT OF THE QUALITY OF LAND IN THE SARATOV TRANS-VOLGA REGION WHEN INVOLVING UNUSED ARABLE LAND IN PRODUCTION

ASSESSMENT OF THE QUALITY OF LAND IN THE SARATOV TRANS-VOLGA REGION WHEN INVOLVING UNUSED ARABLE LAND IN PRODUCTION

Evaluation of land suitability areas for irrigation using GIS and AHP-based tools in the case of Zenti River Catchment, Gofa district, Ethiopia

Evaluation of land suitability areas for irrigation using GIS and AHP-based tools in the case of Zenti River Catchment, Gofa district, Ethiopia

An adaptive transition probability matrix with quality seeds for cellular automata models

ABSTRACT The cellular automata (CA) model is the predominant method for predicting land use and land cover (LULC) changes. The accuracy of this model critically depends on well-defined transition rules, which encapsulate the local dynamics of complex systems and facilitate the manifestation of organized global patterns. While current studies largely concentrate on land use transition matrices as core elements of these rules, exclusive reliance on these matrices is insufficient for capturing the full spectrum of land use change potential. Addressing this gap, our research introduces the adaptive transition probability matrix with quality seeds (ATPMS) model, which incorporates both the Markov model and the genetic algorithm (GA) into the traditional CA framework. Furthermore, an artificial neural network (ANN) is utilized to determine land suitability. Implemented in Beijing, Wuhan, and the Pearl River Delta (PRD), our results indicate that the ATPMS-ANN-CA model surpasses the standard Markov-ANN-CA model in various validation metrics, displaying improvements in overall accuracy (OA) by 0.03% to 0.74% and figure of merit (FoM) by 3.67% to 63.14%. Additionally, the ATPMS-ANN-CA model excels in providing detailed landscape analysis.

Development of GIS-Based Pangasius Aquaculture Areas Using Analytical Hierarchy Process (AHP) in Tulungagung Regency, East Java, Indonesia

Graphical Abstract Highlight Research The author mentioned four highlights from their research: 1. Pangasius aquaculture in Tulungagung Regency continues to increase 2. GIS can be used to determine the suitability of aquaculture land 3. AHP can be used to determine the weight of aquaculture land suitability parameters 4. The development of aquaculture areas must consider other land uses. Abstract Tulungagung Regency in East Java Province has an export demand of 300,000-400,000 tons per year. The high demand for exports spurred the people and government of Tulungagung Regency to develop pangasius aquaculture areas. This will have a negative impact if carried out without a land suitability assessment. The study aimed to analyze the parameters of pangasius aquaculture and map the potential areas for pangasius aquaculture using AHP and GIS-based analysis. This research was conducted from January to August 2022 in Tulungagung Regency, Indonesia. Several stages were carried out, including primary data collection (water quality, soil quality, and infrastructure), secondary data collection (literature, reports, fisheries statistics data, government statistical data, and journals/articles), application of land suitability assessment, and pangasius farming area suitability analysis. Land suitability analysis consists of measuring water quality parameters (DO, temperature, TDS, pH, ammonia, and nitrate), soil quality (texture, pH, and slope), and infrastructure (roads, markets, hatcheries, and fillet factories) using the Analytical Hierarchy Process method (AHP), which includes standardization, determination of weights, and combining the weights of land suitability maps, which are then mapped by ArcGIS Software. Most of the land conditions for the pangasius aquaculture areas in Tulungagung Regency are moderately suitable, suitable, and most suitable, with percentages of 30, 21, and 28%. The area that can be developed for pangasius aquaculture is 976885.71 ha, with the most suitable category being 2619.35 ha, the appropriate category being 2235.74 ha, and the most suitable category being 4913.77 ha.

Application of GIS and Multi-Criteria Analysis (MCA) in Land Evaluation at Ninh Phuoc District, Ninh Thuan Province, Vietnam

This study was conducted to assess land suitability (land evaluation) in the Ninh Phuoc districts in order to identify evidence for recommending main crops effectively and sustainably using agricultural land under drought conditions. Results indicated that Ninh Phuoc district had 83 land mapping units (LMUs), with 10 main land use types (LUTs) of rice, annual cash crops, and perennial plants. About 99.2% of agricultural land was classified as high suitability (S1), moderate suitability (S2), and marginal suitability (S3) for most LUTs, while non-suitability (N) lands were very small (0.8%). This study’s land suitability classification analysis has offered valuable insights into the current land use situation in Ninh Phuoc district and proposes sustainable land management recommendations. It has taken into account various land use criteria and assumptions. The study has proposed the following actions for sustainable land use: (i) Maintain highly suitable (S1) and moderately suitable (S2) land areas, (ii) Renovate or convert marginally suitable land (S3) to suitable tree planting/forestation, (iii) Convert unsuitable land (N) to forestry, grass, or plants that enhance soil quality, and (iv) Preserve existing forest areas without encroachment. Specific results in Ninh Phuoc district when applying land suitability classification for future orientation are as follows: maintain 14,859.31 ha, which has high suitability (S1) and moderate suitability (S2) levels; maintain 30.78 hectares of grass and convert 335 hectares to other suitable trees/forest plantations for the suitable marginal area (S3); Convert 122 ha of Not Suitable (N) to afforestation/grass/apply land soil improvement measure; For more than 3700 hectares of unused land, put into use 343.53 ha for growing spice plants, 8.67 ha for rice, 677.18 ha for planting forest trees, 2,691.50 ha for development of pasture and grazing.

A transdisciplinary approach for assessing connections between soil, food, and people in Aotearoa New Zealand

AbstractWith increasing urbanisation, there is a growing disconnect between soil, food, and people, centred around those relying on Western food production models. This ‘wicked’ problem is challenging sustainable soil use and food insecurity. Knowledge of soils through scientific studies alone are unable to address this problem, and we need to extend the boundaries of soil science for real progress to be made. We present a conceptual framework for understanding the reciprocal connections between soil, food, and people in local food production systems in Aotearoa New Zealand, applying principles and practices from a transdisciplinary research methodology. The resultant Food‐Landscape Networks framework consists of seven factors that support understanding the inherent connections between soil, food, and people. The factors are: soil health, land suitability, climate, productivity, food quality, well‐being, and engagement. These factors have been identified from weaving together mātauraka (the Kāi Tahu mita [dialect] is used in this text, where the ‘ng’ diagraph is replaced with ‘k’, e.g., mātauranga = mātauraka) Māori (Māori knowledge, culture, worldview, and values) and soil science using the He Awa Whiria, Braided Rivers, epistemological framework. Mātauraka Māori guides the traditionally reductionist discipline of soil science into a more holistic space, in an Aotearoa New Zealand context.

Implementation of Agile Methods in GIS Web Applications for Land Suitability Selection

Perusahaan Daerah Perkebunan (PDP) Kahyangan is a Regional Owned Enterprise (BUMD) in Jember Regency which was formed in order to manage plantation commodities in 3 Main Plantations and two Subdivision Plantations. PDP’s profit contribution to Jember’s PAD (Pendapatan Asli Daerah) has continued to decline in recent years. With a target of PAD from plantation products in 2020 of 20 million rupiah, only 20% can be realized (4 million rupiah). Based on the 2023 PDP Kahyangan Jember Strategic Plan, one of the problems causing the opinion deficit is external factors. One of them is the suitability between the potential of the plants planted and the land conditions in a plantation area. Where land suitability, which is the carrying capacity of the land, has a significant effect on crop production. Based on the problems that have been presented, it is necessary to design a GIS-based Decision Support System (DSS), which can provide insight to researchers, practitioners and policy makers regarding the success of managing GIS data for the land suitability evaluation process so that it can increase agricultural productivity. Several stages that will be carried out include data collection, data preparation, and data processing carried out in GIS, then continued with implementation of Decision Support System. The used of agile methods to the application development process ensures that the application is built in a shorter time through the use of continuous iteration and testing thereby ensuring that the DSS implementation on the Web GIS application can run optimally.

Mapping the Suitability of Milkfish Ponds in Sidoarjo District Using Geographic Information Systems (GIS)

Milkfish is one of the potential fishery products in Sidoarjo Regency. Sidoarjo District, one of the subdistricts in Sidoarjo Regency, has significant potential for milkfish development due to its 3271.96 ha of land area. Pond suitability analysis is a crucial aspect of supporting the success of milkfish cultivation. Land suitability can be analyzed using Geographic Information Systems (GIS). This research involved two phases: data collection and analysis. The data parameters collected are temperature, pH, DO, phosphate, and salinity. The data analysis employed overlay and scoring methods. The final scoring results were categorized into four classes, including classes S1 (Very Suitable), S2 (Quite Suitable), S3 (Conditionally Suitable), and N (Not Appropriate). Based on analysis of Landsat image data, the pond area in Sidoarjo District reached 2991.03 Ha. The final scoring results showed that the pond area in the S1 category was 1,816.53 Ha (60.73%), then the S2 category was 1174.50 ha (39.29%). Referring to the calculation of the percentage of pond suitability, most of the ponds in Sidoarjo District are very suitable for cultivating milkfish.

Application of GIS in land unit mapping and evaluation of land suitability for agriculture in Uong Bi district – Quang Ninh province

This study aims to apply Geographic Information Systems (GIS) in land unit mapping and the evaluation of land suitability for agriculture in Uong Bi District, Quang Ninh Province, Vietnam. Given the complex and spontaneous changes in land usage driven by market fluctuations and environmental challenges, assessing land quality becomes crucial for sustainable agricultural development. Integrating soil, topographic, and climatic data within a GIS framework led to the creation of land unit maps for 40 different units in Uong Bi district, classified based on soil type, slope, soil depth, soil fertility, and hydrological conditions. The assessment of land suitability for seven main crops, including Litchi, Citrus, Dragon fruit, Cinnamon, Vegetables, Pine, and Macca, was conducted using the FAO framework for land evaluation. The results indicate that Pine and Cinamon have the highest arable area across all crops (with 15,895.40 ha and 15,502.40 ha respectively) while Vegetables show the lowest total arable area (4,063 ha). The findings provide valuable insights into the suitability of land for specific crops, facilitating informed decision-making to optimize land use and improve agricultural production.

Optimized Land Suitability Mapping for Wheat Cultivation by Integrating Fuzzy Hierarchical Analysis and Satellite Images

Optimized Land Suitability Mapping for Wheat Cultivation by Integrating Fuzzy Hierarchical Analysis and Satellite Images