Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques

Cogent Food & Agriculture, Journal Year: 2024, Volume and Issue: 10(1)

Published: Jan. 16, 2024

Agricultural Land Suitability Analysis plays a pivotal role in sustainable land use planning, aiding decision-makers identifying areas most conducive to agriculture. This study employs systematic approach integrating Analytical Hierarchy Process and Multi-Criteria Decision techniques assess prioritize the suitability of agricultural Southern Punjab (Multan region). The methodology involves defining clear objectives, relevant criteria sub-criteria, establishing hierarchical structure conducting pairwise comparisons determine relative importance each factor. Our outcomes indicated that almost 43% area was highly suitable for agriculture, 27% moderately suitable, 16% marginally 8% less 6% not agriculture area. All lands had silty clay or type soil, which sandy loam soil Multan region. output is comprehensive map identifies Sensitivity analysis validation are incorporated enhance robustness reliability results. provides valuable tool planners policymakers make informed decisions regarding allocation, contributing practices resource management.

Language: Английский

---

Simultaneous multi-crop land suitability prediction from remote sensing data using semi-supervised learning

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: April 26, 2023

Abstract Land suitability models for Canada are currently based on single-crop inventories and expert opinion. We present a data-driven multi-layer perceptron that simultaneously predicts the land of several crops in Canada, including barley, peas, spring wheat, canola, oats, soy. Available crop yields from 2013–2020 downscaled to farm level by masking district yield data focus only areas where cultivated leveraging soil-climate-landscape variables obtained Google Earth Engine prediction. This new semi-supervised learning approach can accommodate different spatial resolutions enables training with unlabelled data. The incorporation indicator function further allows multi-crop model capture interdependences correlations between various crops, thereby leading more accurate predictions. Through k-fold cross-validation, we show compared single models, our could produce up 2.82 fold reduction mean absolute error any particular crop. found mixed grains were tolerant variations be grown many regions while non-grain sensitive environmental factors. Predicted was associated region’s growing season length, which supports climate change projections northern will become suitable agricultural use. proposed facilitate assessment lands cultivation incorporated into cost-benefit analyses.

Language: Английский

---

Agricultural land suitability assessment for sustainable development using remote sensing techniques with analytic hierarchy process

Remote Sensing Applications Society and Environment, Journal Year: 2023, Volume and Issue: 32, P. 101051 - 101051

Published: Aug. 25, 2023

Language: Английский

---

Spatial modeling of land resources and constraints to guide urban development in Saudi Arabia’s NEOM region using geomatics techniques

Frontiers in Sustainable Cities, Journal Year: 2024, Volume and Issue: 6

Published: April 25, 2024

This research presents a GIS-based approach to evaluate land suitability for the urbanization of Saudi Arabia’s NEOM region, an ambitious initiative sustainable development within desert setting. By employing multi-criteria decision-making framework, we have synthesized data on resources, stability, accessibility, construction costs, and proximity conservation areas using Analytical Hierarchy Process (AHP) prioritize these factors based their importance growth. Our analysis reveals that designated with grid values 9 8, totaling 6312.33 square kilometers or 28.23% area studied, are most favorable urban development. These sectors span northern, central, southern parts NEOM, which notable strategic location near future infrastructure natural assets conducive practices. finding supports NEOM’s key initiatives such as “The Line,” “Oxagon,” “TROJENA,” showcasing model’s utility in directing strategies. The study discusses broader socio-economic environmental ramifications pinpointing suited unsuited development, underlining role facilitating aligns expansion stewardship. Furthermore, it advocates leveraging development-restricted zones efforts renewable energy ventures. Nevertheless, concedes certain limitations, dependence static datasets inherent challenges related AHP method, including presumption criteria independence. Future avenues proposed, emphasizing integration dynamic sources, comprehensive socio-cultural impact evaluations, adopting flexible planning methodologies refine precision practicality. Overall, this detailed examination showcases blueprint exemplar environments, illustrating systematic strategy developing regions integrate innovation, ecological sustainability, preservation cultural heritage.

Language: Английский

---

Dynamic Land Degradation Assessment: Integrating Machine Learning with Landsat 8 OLI/TIRS for Enhanced Spectral, Terrain, and Land Cover Indices

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

Language: Английский

---

The Use of an Optimized Grey Multi-Objective Programming-PLUS Model for Multi-Scenario Simulation of Land Use in the Weigan–Kuche River Oasis, China

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 802 - 802

Published: June 5, 2024

The oasis serves as the primary supply of cultivable land, along with hub for human production and habitation in Xinjiang. Accordingly, predicting land use these areas based on various goals is an effective instrument encouraging sensible distribution resource space. study investigated creation a use-allocation optimization model objectives ecological protection, food security, urban growth using Weigan–Kuche River example. GMOP-PLUS model’s restriction conversion area was adjusted to include findings suitability evaluation. Additionally, it optimized simulated spatial arrangement quantitative structure usage 2035. results indicate following: (1) overall accuracy 89.36%, its Kappa coefficient 0.872, more than 0.8. Thus, can be considered adoption future when changes districts counties oasis; (2) evaluation, percentage that are most suited agricultural development, protection 39.32%, 24.21%, 14.06%, respectively; (3) three scenarios satisfy demands within oasis, varies considerably response development objectives, construction cultivated undergoing substantial modifications. multi-scenario simulation provide essential support range perspectives planning socioeconomic decision-making oasis. This both efficient resources sustainable development.

Language: Английский

---

Assessment and Maps of Land Suitability of Wheat Crop Using Multiplication and Additional Methods

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1449(1), P. 012126 - 012126

Published: Feb. 1, 2025

Abstract This study focused on assessing the soil suitability in Al-Alam district for wheat cultivation using multiplicative and Additional method. A area covering 214.99 km 2 was selected. The (56) fifty six of samples from surface 0-30 cm were physical (soil Texture) chemical(pH, EC, CaCO3, CaSO4.2H2O, OM) determined. multiplication additional methods calculated then prepar map ArcGIS. Results showed that employing addition method land evaluation crop yields results are more accurate compared to standard In method, highly suitable class (S1) which covers an 48.48 , representing 34.11%, (S2) 93.66 65.89% total region most prevalent categories. Conversely, when applied, classifications shifted towards non-suitable (N2) 39.93 equivalent 28.09% (N1) xtends over 87.97 constituting 61.89%.

Language: Английский

---

Advanced geospatial modeling and assessment of land degradation severity zones in India’s semi-arid regions

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)

Published: March 21, 2025

Language: Английский

---

Integration Between GIS, Remote Sensing Analysis and AHP for Assessment of Cultivating Suitability in Western Desert Land of Egypt

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 21, 2025

The Western Desert of Egypt offers substantial potential for agricultural development to mitigate the nation’s food security issues. study uses a multi-criteria decision-making framework based on FAO land suitability classification and Analytical Hierarchy Process (AHP) determine if area is good farming. Essential factors, such as evapotranspiration (ETo), precipitation, soil types, slope, use/land cover (LULC), are classified merged into Remote Sensing (RS) GIS-based weighted overlay analysis provide detailed map. results show that we categorize 20.74% research highly suitable (S1) 41.56% moderately (S2). Furthermore, 37.36% marginally (S3), while just 0.33% labeled currently not (N1), there no regions designated permanently (N2). This suggests feasibility using whole region purposes, albeit differing degrees intervention may be necessary. lack N2 category underscores viability reclamation initiatives, contingent upon effective resource management. shows combining AHP, GIS Rs technologies can help you figure out farming, which big making smart decisions about long-term farming planning. practical recommendations policymakers improve distribution emphasize advancement in Desert, bolstering national initiatives strengthen security.

Language: Английский

---

Modeling Eragrostis tef Zucc and Hordeum vulgare L cropland in response to food insecurity in the Southwestern parts of Ethiopia

Heliyon, Journal Year: 2023, Volume and Issue: 9(3), P. e14535 - e14535

Published: March 1, 2023

On a global scale, there is consensus to double food production as means address and nutrition insecurity, yet the capacity of available resources technologies gratify demands this growing population price agricultural commodities remains uncertain in Sub-Saharan Africa, particularly Ethiopia. Despite availability fertile land, inappropriate use that resource leads reduced productivity, little known about insecurity impacts on southwestern This study was aimed at spatial modeling land suitability evaluation for Eragrostis tef Zucc Hordeum Vulgare L crops Misha district. About 11 variables related topography, climate, soil have been considered resampled 10 m resolution. The analysis result indicated that, 33.4% 21.8% total area found be highly suitable, 54% 63% categorized into moderately suitable crop cultivation, respectively, whereas 12.7% 15.3% not above mentioned crops. decision support system reflects has mammoth potential productive lands, which are most likely promised satisfy demand raw materials. Therefore, stakeholders should make hard-nosed efforts sage adopt exactly optimum plans advance current cropland maximize yield sensational way healthier development region.

Language: Английский

---