Land suitability assessment for sugarcane cultivation in Bijnor district, India using geographic information system and fuzzy analytical hierarchy process

GeoJournal ◽  
2017 ◽  
Vol 83 (3) ◽  
pp. 595-611 ◽  
Author(s):  
Mubashir Jamil ◽  
Raihan Ahmed ◽  
Haroon Sajjad
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Analytical Hierarchy Process ◽  
Geographic Information ◽  
Land Suitability ◽  
Fuzzy Analytical Hierarchy Process ◽  
Suitability Assessment ◽  
Land Suitability Assessment ◽  
Hierarchy Process

scholarly journals Land suitability assessment for Lansium domesticum cultivation on agroforestry land using matching method and geographic information system

2020 ◽  
Vol 21 (8) ◽  
Author(s):  
RAHMAWATY RAHMAWATY ◽  
SINTIKE FRASTIKA ◽  
ABDUL RAUF ◽  
RIDWANTI BATUBARA ◽  
FITRAH SYAWAL HARAHAP
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Root Zone ◽  
Geographic Information ◽  
Land Suitability ◽  
Limiting Factors ◽  
Matching Method ◽  
Suitability Assessment ◽  
Land Suitability Assessment ◽  
Lansium Domesticum

Abstract. Rahmawaty, Frastika S, Rauf A, Batubara R, Harahap FS. 2020. Land suitability assessment for Lansium domesticum cultivation on agroforestry land using matching method and geographic information system. Biodiversitas 21: 3683-3690. Lansium domesticum is one of the multipurpose tree species (MPTS) and is commonly found on agroforestry lands in Sumatra. This study aimed to evaluate the actual land suitability classes for L. domesticum and to map the potential land suitability for the species using matching method and geographic information system (GIS). The study was conducted in Sei Bingai Sub-district, Langkat District, North Sumatra, Indonesia. A survey was conducted to collect soil samples based on land units. Land unit information was obtained by overlaying soil map, land-use map, and slope map. Land suitability was evaluated based on the matching method and GIS was used to map the distribution of land suitability. The results showed that both the actual and potential land suitability classes based on matching approach for L. domesticum were moderately suitable (S2) which accounted for 88.95% of total land and marginally suitable (S3) which accounted for 11.05%. Availability of water (wa), erosion hazard (eh), root-zone medium (rc), oxygen availability (oa), and nutrient retention (nr) were the dominant limiting factors in this area. The most difficult constraints to manage were root-zone medium and water availability. The results of this study suggest that the development of L. domesticum in Sei Bingai is possible although it requires some land improvements to deal with the limiting factors.

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 GEOGRAPHIC INFORMATION SYSTEM AND ANALYTICAL HIERARCHY PROCESS FOR LAND USE PLANNING OF BEEKEEPING IN FOREST MARGIN OF BOGOR REGENCY, INDONESIA

2016 ◽  
Vol 7 (3) ◽  
pp. S50-S57
Author(s):  
Widiatmaka . ◽  
Wiwin Ambarwulan ◽  
Chandrasa E Sjamsudin ◽  
Lailan Syaufina
Keyword(s):  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Land Use Planning ◽  
Analytical Hierarchy Process ◽  
Honey Bees ◽  
Geographic Information ◽  
Land Suitability ◽  
Physical Parameters ◽  
Hierarchy Process

One way to establish forest conservation is by improving the welfare of the community residing at the forests’ borders. Beekeeping has the potential to increase the income of the people around the forest. This study aims to delineate beekeeping zones bordering the forest regions. Multi-criteria analysis based geographic information system was used to delineate the ecologically suitable areas for honey bees. The parameters used included physical parameters (temperature, rainfall, distance from water source and altitude), economic parameters (distance from the roads and distance from the market) and social parameters (land use and distance from settlements). The parameters were weighed by applying analytical hierarchy process. The result was then inputted into a spatial model designed to determine the ecological suitability for honeybees. The suitable land for bees’ forages was delineated using land suitability analysis with maximum limitation method. The results of both analyses were then overlaid to delineate suitable areas for beekeeping. The analysis resulted in locating recommended areas for the cultivation of honey bees and forages around the forest periphery, by taken into account official spatial land use planning.Key words: Habitat suitability, land suitability, bee forage, land use planning

scholarly journals Modelagem espacial de áreas suscetíveis a inundações baseada em um modelo multicritério hibrido e Sistema de Informação Geográfica: um estudo de caso aplicado a bacia do Rio Bengalas

2020 ◽  
Vol 13 (3) ◽  
pp. 1145
Author(s):  
Fabiano Peixoto Freiman ◽  
Camila De Oliveira Carvalho
Keyword(s):  
Information System ◽  
Fuzzy Logic ◽  
Geographic Information System ◽  
River Basin ◽  
Analytical Hierarchy Process ◽  
Rio De Janeiro ◽  
Geographic Information ◽  
Flood Susceptibility ◽  
Hierarchy Process

A identificação de áreas suscetíveis a inundações é essencial para o gerenciamento de desastres e definição de políticas públicas. O objetivo deste trabalho é a apresentação de um método para identificação de áreas suscetíveis a inundações através da integração de informações geográficas provenientes de técnicas do Sensoriamento Remoto, as ferramentas do Sistema de Informação Geográfica (SIG), a lógica Fuzzy e a aplicação de Métodos de Análise Multicritério (MAM) Analytical Hierarchy Process (AHP). Para atingir o objetivo foi proposto um estudo de caso, localizado na Bacia do Rio Bengalas, nos municípios de Nova Friburgo e Bom Jardim (Região Serrana do Rio de Janeiro). A modelagem espacial multicritério foi realizada a partir da seleção de um conjunto de dados composto por informações geomorfológicas, hidrológicas e de uso e ocupação do solo. Como resultado, obteve-se um mapa de suscetibilidade a inundações para a região. A coerência do modelo gerado foi verificada a partir do histórico de inundações da bacia do Rio Bengalas. A metodologia, apresentou-se eficiente e adequada para a determinação de áreas suscetíveis a inundações, prevendo com sucesso a distribuição espacial de áreas com riscos a inundações.  Spatial modelling of flood-susceptible areas based on a hybrid multi-criteria model and Geographic Information System: a case study applied to the Bengalas River basin A B S T R A C TThe identification of areas susceptible to flooding is essential for disaster management and public policy making. The objective of this work is the presentation of a method for the identification of areas susceptible to floods through the integration of geographic information from Remote Sensing techniques, Geographic Information System (GIS) tools, Fuzzy logic and the application of Multicriteria Analysis Methods (MAM) Analytical Hierarchy Process (AHP). In order to achieve the objective, a case study was proposed, located in the Bengalas River Basin, in the municipalities of Nova Friburgo and Bom Jardim (Mountain Region of Rio de Janeiro). Multicriteria spatial modeling was performed by selecting a data set composed of geomorphological, hydrological and land use information. As a result, a flood susceptibility map was obtained for the region. The coherence of the generated model was verified from the flood history of the Bengalas River basin. The methodology was efficient and adequate for the determination of areas susceptible to floods, successfully predicting the spatial distribution of areas at risk of flooding.Keywords: flood susceptibility. Fuzzy logic. MAM. AHP. GIS. 

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