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  1. Article ; Online: Analysis of the land suitability for paddy fields in Tanzania using a GIS-based analytical hierarchy process

    Ahmad Al-Hanbali / Kenichi Shibuta / Bayan Alsaaideh / Yasuhiro Tawara

    Geo-spatial Information Science, Vol 0, Iss 0, Pp 1-

    2021  Volume 17

    Abstract: The importance of irrigation development is considered a key factor for food security and poverty reduction because it improves crop productivity, and ensures stable expansion of agricultural production. However, irrigation development requires ... ...

    Abstract The importance of irrigation development is considered a key factor for food security and poverty reduction because it improves crop productivity, and ensures stable expansion of agricultural production. However, irrigation development requires understanding of the available resources including the suitability of the land for agriculture. In this study, the land suitability for paddy fields was evaluated within the United Republic of Tanzania mainland by integrating the geographic information system (GIS) and analytical hierarchy process (AHP). In this study, 11 criteria based on various sources (soil type, soil drainage, soil organic carbon, soil pH, soil depth, elevation, slope, land use, topographic wetness index, temperature, and precipitation) were used. These criteria were used within the GIS-based AHP to identify the most suitable land for sustainable paddy field cultivation considering the preservation of the natural environment of forests and protected areas by examining two scenarios: rainfed condition and irrigation priority. The former ten criteria were assumed to be constant in both scenarios and were assigned the same scores, while the latter criterion (precipitation) was assigned different scores for varying amounts to plan new irrigation projects. Unsuitable land represents 72.8% of the study area, reducing the potential agriculture land (PAL) appropriate for cultivation to 27.2%. In the rainfed condition scenario, the very high and high suitability classes represent 17.6% of the total land of the study area and 64.7% of the PAL. In the irrigation priority scenario, the same classes represent 21.4% of the total land of the study area and 78.6% of the PAL. Finally, the distribution of the land suitability for both scenarios was analyzed within eight administrative irrigation zones to determine the irrigation zone with the greatest potential for paddy field cultivation.
    Keywords paddy field ; agriculture ; land suitability ; geographic information system (gis) ; analytical hierarchy process (ahp) ; sustainable development ; tanzania ; Mathematical geography. Cartography ; GA1-1776 ; Geodesy ; QB275-343
    Subject code 910
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Using GIS-Based Weighted Linear Combination Analysis and Remote Sensing Techniques to Select Optimum Solid Waste Disposal Sites within Mafraq City, Jordan

    Ahmad Al-Hanbali / Bayan Alsaaideh / Akihiko Kondoh

    Journal of Geographic Information System, Vol 03, Iss 04, Pp 267-

    2011  Volume 278

    Abstract: Landfill siting was determined within Mafraq City, Jordan, through the integration of geographic information system (GIS), weighted linear combination (WLC) analysis, and remote sensing techniques. Several parameters were collected from various sources ... ...

    Abstract Landfill siting was determined within Mafraq City, Jordan, through the integration of geographic information system (GIS), weighted linear combination (WLC) analysis, and remote sensing techniques. Several parameters were collected from various sources in vector and raster GIS formats, and then, used within the GIS-based WLC analysis to select optimum solid waste disposal sites. Namely, urban areas, agricultural lands, access roads, surface aquifers, groundwater table, fault system, water wells, streams, and land slope were considered in this research. Also, the trend of urban expansion within the study area was monitored using the Landsat data of 1989, 1999, and 2009 to support the selection process of disposal sites. It is found that about 84% of the study area was within “most suitable” to “moderately suitable” classes for landfill sites, while the rest of the study area was within “poorly suitable” and “unsuitable” classes. Based on the analysis of Landsat satellite data the urban area was expanded of more than 240% during the last three decades, mainly toward south, and southwest, except the villages near the existing disposal site, where the trend was toward east and northeast. Finally, three sites were suggested as alternatives to the existing disposal site taking into the consideration the environmental, biophysical, and economical variables applied in the GIS-based WLC analysis.
    Keywords Solid Waste ; Weighted Linear Combination ; GIS ; Remote Sensing ; Jordan ; Geography (General) ; G1-922 ; Geography. Anthropology. Recreation ; G ; DOAJ:Geography ; DOAJ:Earth and Environmental Sciences
    Subject code 910
    Language English
    Publishing date 2011-10-01T00:00:00Z
    Publisher Scientific Research Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: New urban map of Eurasia using MODIS and multi-source geospatial data

    Bayan Alsaaideh / Ryutaro Tateishi / Dong Xuan Phong / Nguyen Thanh Hoan / Ahmad Al-Hanbali / Bai Xiulian

    Geo-spatial Information Science, Vol 20, Iss 1, Pp 29-

    2017  Volume 38

    Abstract: Urban areas are of paramount significance to both the individuals and communities at local and regional scales. However, the rapid growth of urban areas exerts effects on climate, biodiversity, hydrology, and natural ecosystems worldwide. Therefore, ... ...

    Abstract Urban areas are of paramount significance to both the individuals and communities at local and regional scales. However, the rapid growth of urban areas exerts effects on climate, biodiversity, hydrology, and natural ecosystems worldwide. Therefore, regular and up-to-date information related to urban extent is necessary to monitor the impacts of urban areas at local, regional, and potentially global scales. This study presents a new urban map of Eurasia at 500 m resolution using multi-source geospatial data, including Moderate Resolution Imaging Spectroradiometer (MODIS) data of 2013, population density of 2012, the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) nighttime lights of 2012, and constructed Impervious Surface Area (ISA) data of 2010. The Eurasian urban map was created using the threshold method for these data, combined with references of fine resolution Landsat and Google Earth imagery. The resultant map was compared with nine global urban maps and was validated using random sampling method. Results of the accuracy assessment showed high overall accuracy of the new urban map of 94%. This urban map is one product of the 20 land cover classes of the next version of Global Land Cover by National Mapping Organizations.
    Keywords Urban area mapping ; population density ; MODIS ; data integration ; accuracy assessment ; Eurasia ; Mathematical geography. Cartography ; GA1-1776 ; Geodesy ; QB275-343
    Subject code 910 ; 710
    Language English
    Publishing date 2017-01-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Production of Global Land Cover Data – GLCNMO2008

    Ryutaro Tateishi / Nguyen Thanh Hoan / Toshiyuki Kobayashi / Bayan Alsaaideh / Gegen Tana / Dong Xuan Phong

    Journal of Geography and Geology, Vol 6, Iss

    2014  Volume 3

    Abstract: A fifteen-second global land cover dataset –– GLCNMO2008 (or GLCNMO version 2) was produced by the authors in the Global Mapping Project coordinated by the International Steering Committee for Global Mapping (ISCGM). The primary source data of this land ... ...

    Abstract A fifteen-second global land cover dataset –– GLCNMO2008 (or GLCNMO version 2) was produced by the authors in the Global Mapping Project coordinated by the International Steering Committee for Global Mapping (ISCGM). The primary source data of this land cover mapping were 23-period, 16-day composite, 7-band, 500-m MODIS data of 2008. GLCNMO2008 has 20 land cover classes, within which 14 classes were mapped by supervised classification. Training data for supervised classification consisting of about 2,000 polygons were collected globally using Google Earth and regional existing maps with reference of this study’s original potential land cover map created by existing six global land cover products. The remaining six land cover classes were classified independently: Urban, Tree Open, Mangrove, Wetland, Snow/Ice, and Water. They were mapped by improved methods from GLCNMO version 1. The overall accuracy of GLCNMO2008 is 77.9% by 904 validation points and the overall accuracy with the weight of the mapped area coverage is 82.6%. The GLCNMO2008 product, land cover training data, and reference regional maps are available through the internet.
    Keywords Geography (General) ; G1-922 ; Geography. Anthropology. Recreation ; G
    Subject code 910
    Language English
    Publishing date 2014-06-01T00:00:00Z
    Publisher Canadian Center of Science and Education
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Mangrove Forests Mapping in the Southern Part of Japan Using Landsat ETM+ with DEM

    Bayan Alsaaideh / Ahmad Al-Hanbali / Ryutaro Tateishi / Toshiyuki Kobayashi / Nguyen Thanh Hoan

    Journal of Geographic Information System, Vol 05, Iss 04, Pp 369-

    2013  Volume 377

    Abstract: A regional map of mangrove forests was produced for six islands located in the southern part of Japan by integrating the spectral analyses of Landsat Enhanced Thematic Mapper plus (ETM+) images with a digital elevation model (DEM). Several attempts were ... ...

    Abstract A regional map of mangrove forests was produced for six islands located in the southern part of Japan by integrating the spectral analyses of Landsat Enhanced Thematic Mapper plus (ETM+) images with a digital elevation model (DEM). Several attempts were applied to propose a reliable method, which can be used to map the distribution of mangrove forests at a regional scale. The methodology used in this study comprised of obtaining the difference between Normalized Difference Water Index (NDWI) and Normalized Difference Vegetation Index (NDVI), band ratio 5/4, and band 5, from Landsat ETM+, and integrating them with the topographic information. The integration of spectral analyses with topographic data has clearly separated the mangrove forests from other vegetation. An accuracy assessment was carried out in order to check the accuracy of the results. High overall accuracy ranging from 89.3% to 93.6% was achieved, which increased the opportunity to use this methodology in other countries rich in mangrove forests.
    Keywords Mangrove Forests ; NDWI ; NDVI ; DEM ; Japan ; Geography (General) ; G1-922 ; Geography. Anthropology. Recreation ; G ; DOAJ:Geography ; DOAJ:Earth and Environmental Sciences
    Subject code 910
    Language English
    Publishing date 2013-07-01T00:00:00Z
    Publisher Scientific Research Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Pitch and Flat Roof Factors’ Association with Spatiotemporal Patterns of Dengue Disease Analysed Using Pan-Sharpened Worldview 2 Imagery

    Fedri Ruluwedrata Rinawan / Ryutaro Tateishi / Ardini Saptaningsih Raksanagara / Dwi Agustian / Bayan Alsaaideh / Yessika Adelwin Natalia / Ahyani Raksanagara

    ISPRS International Journal of Geo-Information, Vol 4, Iss 4, Pp 2586-

    2015  Volume 2603

    Abstract: Dengue disease incidence is related with the construction of a house roof, which is an Aedes mosquito habitat. This study was conducted to classify pitch roof (PR) and flat roof (FR) surfaces using pan-sharpened Worldview 2 to identify dengue disease ... ...

    Abstract Dengue disease incidence is related with the construction of a house roof, which is an Aedes mosquito habitat. This study was conducted to classify pitch roof (PR) and flat roof (FR) surfaces using pan-sharpened Worldview 2 to identify dengue disease patterns (DDPs) and their association with DDP. A Supervised Minimum Distance classifier was applied to 653 training data from image object segmentations: PR (81 polygons), FR (50), and non-roof (NR) class (522). Ground validation of 272 pixels (52 for PR, 51 for FR, and 169 for NR) was done using a global positioning system (GPS) tool. Getis-Ord score pattern analysis was applied to 1154 dengue disease incidence with address-approach-based data with weighted temporal value of 28 days within a 1194 m spatial radius. We used ordinary least squares (OLS) and geographically weighted regression (GWR) to assess spatial association. Our findings showed 70.59% overall accuracy with a 0.51 Kappa coefficient of the roof classification images. Results show that DDPs were found in hotspot, random, and dispersed patterns. Smaller PR size and larger FR size showed some association with increasing DDP into more clusters (OLS: PR value = −0.27; FR = 0.04; R2 = 0.076; GWR: R2 = 0.76). The associations in hotspot patterns are stronger than in other patterns (GWR: R2 in hotspot = 0.39, random = 0.37, dispersed = 0.23).
    Keywords dengue disease incidence ; address-approach-based data ; Getis-Ord score ; segmentation ; Supervised Minimum Distance ; ordinary least squares (OLS) ; geographically weighted regression (GWR) ; Geography (General) ; G1-922
    Subject code 006
    Language English
    Publishing date 2015-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  7. Article: Using GIS-Based Weighted Linear Combination Analysis and Remote Sensing Techniques to Select Optimum Solid Waste Disposal Sites within Mafraq City, Jordan

    Ahmad Al-Hanbali / Bayan Alsaaideh / Akihiko Kondoh

    Abstract: Landfill siting was determined within Mafraq City, Jordan, through the integration of geographic information system (GIS), weighted linear combination (WLC) analysis, and remote sensing techniques. Several parameters were collected from various sources ... ...

    Abstract Landfill siting was determined within Mafraq City, Jordan, through the integration of geographic information system (GIS), weighted linear combination (WLC) analysis, and remote sensing techniques. Several parameters were collected from various sources in vector and raster GIS formats, and then, used within the GIS-based WLC analysis to select optimum solid waste disposal sites. Namely, urban areas, agricultural lands, access roads, surface aquifers, groundwater table, fault system, water wells, streams, and land slope were considered in this research. Also, the trend of urban expansion within the study area was monitored using the Landsat data of 1989, 1999, and 2009 to support the selection process of disposal sites. It is found that about 84% of the study area was within “most suitable” to “moderately suitable” classes for landfill sites, while the rest of the study area was within “poorly suitable” and “unsuitable” classes. Based on the analysis of Landsat satellite data the urban area was expanded of more than 240% during the last three decades, mainly toward south, and southwest, except the villages near the existing disposal site, where the trend was toward east and northeast. Finally, three sites were suggested as alternatives to the existing disposal site taking into the consideration the environmental, biophysical, and economical variables applied in the GIS-based WLC analysis.
    Language English
    Document type Article
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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