Quantitative land evaluation based on fuzzy-multi-criteria spatial model for sustainable land-use planning

AbdelRahman, Mohamed A. E.; Shalaby, Adel; Essa, E. F.

doi:10.1007/s40808-018-0478-1

Cited by 23 publications

(10 citation statements)

References 13 publications

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“…(i) qualitative evaluations [14][15][16][17] that are mainly based on expert decisions and qualitative procedures to obtain physical suitability and categorize it in several ranked classes. (ii) parametric-quantitative methods [18][19][20][21], which are used to evaluate the degrees of soil suitability using a continuous scale instead of discrete land capability classes. (iii) simulation models [5,14,15,22,23], wherein performance of land is depending on land characteristics individually, and the final effect is evaluated using land function models.…”

Section: Introductionmentioning

confidence: 99%

Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta

et al. 2020

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Today, the global food security is one of the most pressing issues for humanity, and, according to Food and Agriculture Organisation (FAO), the increasing demand for food is likely to grow by 70% until 2050. In this current condition and future scenario, the agricultural production is a critical factor for global food security and for facing the food security challenge, with specific reference to many African countries, where a large quantities of rice are imported from other continents. According to FAO, to face the Africa’s inability to reach self-sufficiency in rice, it is urgent “to redress to stem the trend of over-reliance on imports and to satisfy the increasing demand for rice in areas where the potential of local production resources is exploited at very low levels” The present study was undertaken to design a new method for land evaluation based on soil quality indicators and remote sensing data, to assess and map soil suitability for rice crop. Results from the investigations, performed in some areas in the northern part of the Nile Delta, were compared with the most common approaches, two parametric (the square root, Storie methods) and two qualitative (ALES and MicrioLEIS) methods. From the qualitative point of view, the results showed that: (i) all the models provided partly similar outputs related to the soil quality assessments, so that the distinction using the crop productivity played an important role, and (ii) outputs from the soil suitability models were consistent with both the satellite Sentinel-2 Normalize Difference Vegetation Indices (NDVI) during the crop growth and the yield production. From the quantitative point of view, the comparison of the results from the diverse approaches well fit each other, and the model, herein proposed, provided the highest performance. As a whole, a significant increasing in R2 values was provided by the model herein proposed, with R2 equal to 0.92, followed by MicroLES, Storie, ALES and Root as R2 with value equal to 0.87, 0.86, 0.84 and 0.84, respectively, with increasing percentage in R2 equal to 5%, 6% and 8%, respectively. Furthermore, the proposed model illustrated that around (i) 44.44% of the total soils of the study area are highly suitable, (ii) 44% are moderately suitable, and (iii) approximately 11.56% are unsuitable for rice due to their adverse physical and chemical soil properties. The approach herein presented can be promptly re-applied in arid region and the quantitative results obtained can be used by decision makers and regional governments.

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Section: Introductionmentioning

confidence: 99%

Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta

et al. 2020

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“…Land suitability is the level of equality on a plot of land used for certain uses [12]. Land suitability is assessed at its current condition (present) or after improvements have been made [13]. The current land suitability is known as the actual land suitability, while the potential land suitability, namely the new land will get improvement [10].…”

Section: Resultsmentioning

confidence: 99%

“…The current land suitability is known as the actual land suitability, while the potential land suitability, namely the new land will get improvement [10]. Evaluation of a land will be easier to do if the land unit is defined by the criteria for land characteristics used in the land evaluation [13,14]. The characteristics of the land studied to determine the suitability of land for cocoa plants are water availability, temperature, nutrient rhythm, root media, toxicity, land preparation, available nutrients, erosion hazard levels, flood hazards [10,15].…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Land Suitability for Cocoa Plants: A Case Study in Aranio District, Banjar District, South Kalimantan

Aminatullaila¹,

Adyatma²,

Arisanty³

et al. 2021

Advances in Social Science, Education and Humanities Research

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Land can be said to be suitable for the development of a certain agricultural commodity, if it is included in the appropriate category both biophysically and socioeconomically. This study aims to determine the land suitability class for cocoa plant commodities in Aranio District. The research methods used were survey methods and matching methods. The map used is a map of land units obtained from overlaying several maps, namely land form maps, land use maps, slope maps, and soil maps. The study population consisted of 12 land units, namely 11 denudational landforms and 1 fluvial landform. The sample was determined using a random sampling technique with a total of 2 samples for each land unit. Primary data comes from field observations and laboratory tests, while secondary data comes from literature studies. The data were analyzed by matching the growth requirements of the cocoa plant with the land suitability map. The results showed that the evaluation of land suitability for cocoa plant commodities in Aranio District has 3 classes, namely class S3 (according to marginal), N1 (currently unsuitable), and S2 (appropriate), with limiting factors: slope, soil pH, P2O5, erosion hazard, effective depth, and surface rock.

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“…Mainuri and Owino (2014) performed investigation to link landforms and landuse with land degradation. Abdel Rahman et al (2018) quantified the suitability of land units for horticultural and field crops in the different landform units. Segundo et al (2017) explored the quantitative relation between the landforms and different land covers.…”

Section: Introductionmentioning

confidence: 99%

Geomorphic Control on Soil Erosion – a Case Study in the Subarnarekha Basin, India

Kathwas

Patel

2021

pjss

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<p>Geomorphology depicts the qualitative and quantitative characteristics of both terrain and landscape features combined with the processes responsible for its evolution. Soil erosion by water involves processes, which removes soil particles and organic matter from the upper sheet of the soil surface, and then transports the eroded material to distant location under the action of water. Very few studies have been conducted on the nature and dynamics of soil erosion in the different geomorphologic features. In the present investigation, an attempt has been made to assess the control of geomorphologic features on the soil loss. Universal Soil Loss Equation (USLE) was used to determine soil loss from the various geomorphological landforms. Principal component analysis (PCA) was implemented on the USLE parameters to determine the degree of association between the individual principal components and the USLE-derived soil loss. Results obtained from the investigation signify the influence of the various landforms on soil erosion. PC5 is found to be significantly correlated with the USLE-derived soil loss. The results ascertained significant association between the soil loss and geomorphological landforms, and therefore, suitable strategies can be implemented to alleviate soil loss in the individual landforms.</p>

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Quantitative land evaluation based on fuzzy-multi-criteria spatial model for sustainable land-use planning

Cited by 23 publications

References 13 publications

Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta

Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta

Evaluation of Land Suitability for Cocoa Plants: A Case Study in Aranio District, Banjar District, South Kalimantan

Geomorphic Control on Soil Erosion – a Case Study in the Subarnarekha Basin, India

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