scholarly journals Soil and Land Suitability Assessment for Rice Cultivation at Tono Irrigation Area in the Upper East Region, Ghana

2021 ◽  
Vol 11 (11) ◽  
pp. 1230-1239
Author(s):  
Prince M. Gyekye ◽  
Charles Y. F. Domozoro ◽  
Mohammed Musah ◽  
Felix O. Ababio ◽  
Adams Sadick
Keyword(s):  
Land Suitability ◽  
Rice Cultivation ◽  
Irrigation Area ◽  
Suitability Assessment ◽  
East Region ◽  
Upper East Region ◽  
Land Suitability Assessment

Study on the Assessment of Land Ecological Suitability in Urban Connecting Band Based on the Method of “Entropy Weight-Geographic Information System”

2013 ◽  
Vol 798-799 ◽  
pp. 1178-1181
Author(s):  
Zhi Hong Liu ◽  
Ling Xu
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Regional Scale ◽  
Geographic Information ◽  
Land Suitability ◽  
Entropy Weight ◽  
Irrigation Area ◽  
Suitability Assessment ◽  
Land Suitability Assessment ◽  
Ecological Suitability

Taking the connecting band of urban integration as study area, based on an appropriate index system, the method of Entropy Weight-Geographic Information System (GIS) was employed to carry out the land suitability assessment at a regional scale. Shenyang Irrigation Area (SIA) was taken as the practical example. It was found that the method was reasonable to assess the land suitability and the assessment results can be used to support land planning in a flexible way.

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

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

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

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