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gis approach for assessment of land suitability for different land use alternatives in semi arid environment in Jordan:Case study(Al Gadeer Alabyad-Mafraq)

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Information Processing in Agriculture 2019年第1期6卷 91-108页

作者： Safa Mazahreh Majed Bsoul Doaa Abu Hamoor gis unit National Centre for Agricultural Research and Extension(NCARE)Baqa’Jordan

The semi arid lands of Jordan are fragile and severely degraded due to low rainfall and mismanagement of natural *** human demands increase,sustaining the productivity of land becomes more and more *** suitability evaluation can contribute towards better land management;mitigation of land degradation;and designing land use pattern that prevents environmental problems through segregation of competing land *** analysis allows identifying the main limiting factors for the agricultural production and enables decision makers to develop crop managements able to increase the land *** purpose of this study was to develop a Geographic Information System(gis)based approach for land use suitability assessment in order to assist land managers to identify areas with physical limitations for different land use alternatives based on research criteria developed by FAO and modified by *** study was conducted using various data and maps incorporated within(gis)in order to derive potential suitability for different Land Utilization Types(LUTs).Land suitability mapping was developed using an innovative approach that integrates soil and climatic data for land suitability *** maps for each land use were developed to show the suitability classes and display the spatial representation of soils suitable for *** output of suitability analyses provided not only the type of land use for which the land was suitable,but also information about the type of limitation(s)facing the utilization of the *** land use alternatives(scenarios)were formulated to improve and optimize the agricultural production in the study area.

关键词： Land utilization types Soil survey Land suitability criteria Suitability mapping gis Scenarios

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Spatial analysis of public health facilities in Riyadh Governorate,Saudi Arabia:a gis-based study to assess geographic variations of service provision and accessibility

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Geo-Spatial Information Science 2016年第1期19卷 26-38页

作者： Shawky MANSOUR Faculty of Arts Department of Geography and GISAlexandria UniversityEl ShatbyAlexandriaEgypt

Much attention has been given to address public health policy in Saudi Arabia,particularly for the management,quality,and coverage ***,assessment of spatial patterns,distribution,and provision of public health services has been *** paper analyzes the availability and accessibility of public health facilities across Riyadh Governorate,Saudi Arabia at the subnational *** and attribute data of public health facilities potentially have been analyzed using gis to produce accurate measure of *** spatial pattern of service distribution was examined using average nearest *** from demand points(populations)to providers(facilities)were calculated for each district using near *** addition,the ratios of public health facility to population were calculated to identify underserved and overserved *** findings clearly indicate that the spatial pattern of the distribution of public health facilities was significantly clustered(p value<0.001)with Z-score of–*** districts within the central parts of the governorate were identified as having a higher density of facilities,while most of districts that are located in the marginal parts exhibit very low density of health ***,there was a considerable variation in the average distance from district centroids to health ***,less than half of the population(45.4%)living in 61 districts has access to public health facility within less than 1-km *** contrast,the greatest increase in distances was observed for 6%of population living in 38 *** that live in such districts need to travel long distances for public health *** output of this analysis can assist policy-makers and authorities of Riyadh Governorate in planning public health delivery.

关键词： gis public health facilities accessibility availability Riyadh Governorate

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gis-based ordered weighted averaging and Dempster-Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran

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International Journal of Digital Earth 2014年第8期7卷 688-708页

作者： Bakhtiar Feizizadeh Thomas Blaschke Hossein Nazmfar Department of Physical Geography Centre for Remote Sensing and GISUniversity of TabrizTabrizIran Department of Geoinformatics(Z_gis) University of SalzburgSalzburgAustria Department of Geography and Urban Planning University of Mohaghegh ArdabiliArdabilIran

In this paper,gis-based ordered weighted averaging(OWA)is applied to landslide susceptibility mapping(LSM)for the Urmia Lake Basin in northwest *** landslide causal factors were used,whereby the respective parameters were extracted from an associated spatial *** factors were evaluated,and then the respective factor weight and class weight were assigned to each of the associated factors using analytic hierarchy process(AHP).A landslide suscept-ibility map was produced based on OWA multicriteria decision *** order to validate the result,the outcome of the OWA method was qualitatively evaluated based on an existing inventory of known ***,an uncertainty analysis was carried out using the Dempster-Shafer *** on the results,very strong support was determined for the high susceptibility category of the landslide susceptibility map,while strong support was received for the areas with moderate *** this paper,we discuss in which respect these results are useful for an improved understanding of the effectiveness of OWA in LSM,and how the landslide prediction map can be used for spatial planning tasks and for the mitigation of future hazards in the study area.

关键词： gis-multicriteria decision analysis OWA uncertainty analysis belief landslide susceptibility mapping Urmia Lake Basin

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gis-and RS-based spatial decision support:structure of a spatial environmental information system(SEIS)

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International Journal of Digital Earth 2009年第2期2卷 134-154页

作者： G.Bareth University of Cologne Geography DepartmentGIS&RS Albertus-Magnus-PlatzCologneNRW 50923Germany

The development of spatial decision support for environmental resource management,*** and agroecosystem management,biodiversity conservation,or hydrological planning,started in the 1980s and was the focus of many research groups in the *** combined availability of spatial data and communication,computing,positioning,geographic information system(gis)-and remote sensing(RS)-technologies has been responsible for the implementation of complex SDSS since the late *** regional gis-based modelling of environmental resources,and therefore ecosystems in general,requires setting-up an extensive geo and model *** data on topography,soil,climate,land use,hydrology,flora,fauna and anthropogenic activities have to be ***,gis-and RS-technologies are of central importance for spatial data handling and *** this context,the structure of spatial environmental information systems(SEIS)is *** SEIS,the input data for environmental resource management are organised in at least seven subinformation systems:base geodata information system(BGDIS),climate information system(CIS),soil information system(SIS),land use information system(LUIS),hydrological information system(HIS),spatial/temporal biodiversity information system(STBIS),forest/agricultural management information system(FAMIS).The major tasks of a SEIS are to(i)provide environmental resource information on a regional level,(ii)analyse the impact of anthropogenic activities and(iii)simulate scenarios of different impacts.

关键词： environmental information system gis regional modelling remote sensing resource management spatial decision support system

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Integrated universal soil loss equation (USLE) and Geographical Information System (gis) for soil erosion estimation in A Sap basin:Central Vietnam

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International Soil and Water Conservation Research 2018年第2期6卷 99-110页

作者： Tung Gia Pham Jan Degener Martin Kappas Cartography GIS and Remote Sensing DepartmentGottingen UniversityGermany University of Agriculture and Forestry Hue UniversityVietnam

Central Vietnam is very susceptible to soil erosion due to its complicated terrain and heavy rainfall. The objective of this study was to quantify soil erosion in the A Sap river basin, A Luoi district, Thua Thien Hue Province, Vietnam, using the Universal Soil Loss Equation (USLE) and Geographical Informa-tion System (gis). The results showed that 34% of land area lost accumulated to 10 t ha-1 year-1 while 47% of the total area lost less than 1 t ha-1 year-1. Natural forest land lost the most with an average of about 19 t ha-1 year-1, followed by plantation forest with approximately 7 t ha-1 year-1 and other agricultural lands at 3.70 and 1.45 t ha-1 year-1 for yearly crops and paddy rice, respectively. Soil erosion was most sensitive to the topographic factor (LS), followed by the practice support factor (P), soil erodibility factor (K), cropping management (C), and the rainfall erosivity factor (R). Implications are that changes to the cultivated calendar and implementing intercropping are effective ways to prevent soil erosion in cultivated lands. Furthermore, introducing broad leaves trees for mountainous areas in A Sap basin was the most effective practice in reducing soil erosion. The study also pointed out that the combination of available data sources used with the USLE and gis technology is a viable option to cal-culate soil erosion in Central Vietnam, which would allow targeted attention toward a solution is to reduce future soil erosion.

关键词： Central Vietnam gis Soil erosion USLE

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NIR-red spectral space based new method for soil moisture monitoring

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Science China Earth Sciences 2007年第2期50卷 283-289页

作者： GHULAN Abduwasit Institute of Remote Sensing and gis Peking University

Drought is a complex natural disaster that occurs frequently. Soil moisture has been the main issue in remote monitoring of drought events as the most direct and important variable describing the drought. Spatio-temporal distribution and variation of soil moisture evidently affect surface evapotranspiration, agricultural water demand, etc. In this paper, a new simple method for soil moisture monitoring is de- veloped using near-infrared versus red (NIR-red) spectral reflectance space. First, NIR-red spectral reflectance space is established using atmospheric and geometric corrected ETM+ data, which is manifested by a triangle shape, in which different surface covers have similar spatial distribution rules. Next, the model of soil moisture monitoring by remote sensing (SMMRS) is developed on the basis of the distribution characteristics of soil moisture in the NIR-red spectral reflectance space. Then, the SMMRS model is validated by comparison with field measured soil moisture data at different depths. The results showed that satellite estimated soil moisture by SMMRS is highly accordant with field measured data at 5 cm soil depth and average soil moisture at 0―20 cm soil depths, correlation coef- ficients are 0.80 and 0.87, respectively. This paper concludes that, being simple and effective, the SMMRS model has great potential to estimate surface moisture conditions.

关键词： NIR-red spectral space soil moisture quantitative remote sensing soil drought remote monitoring of soil moisture

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Fuzzy Boundaries Between Post-Disaster Phases: The Case of L'Aquila, Italy

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International Journal of Disaster Risk Science 2016年第3期7卷 277-292页

作者： Diana Contreras Department of Geoinformatics–Z_gis University of Salzburg

A number of indices have been developed for measuring vulnerability to disasters, but little attention has been paid to recovery indices. Post-disaster periods are usually divided into four phases. The terms established by the united Nations Development Programme for post-disaster phases—relief, early recovery, recovery, and development—are used in this article. This research examines the hypothesis that the boundaries between post-disaster recovery phases are fuzzy and should be defined by the progress achieved in the recovery process, rather than by the amount of time elapsed since the event. The methodology employed involved four steps: fieldwork, mapping,identification of indicators, and assessment. The case study area was the city of L'Aquila in the Abruzzo region of central Italy, which was struck by an earthquake in April2009. For each phase of the recovery process in L'Aquila a score was calculated based on the progress observed in2016, 7 years after the earthquake. The highest score went to the early recovery phase(14 points), followed by the recovery phase(13 points), the development phase(12points), and the relief phase(4 points). The results demonstrate the possibility of defining post-disaster recovery phases in an affected area based on measuring achievements through indicators rather than defining recovery phases in terms of elapsed time after a disaster.

关键词： Disaster recovery Earthquakes Geographical information system (gis) L’Aquila Post-disaster phases Spatial indicators

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Covid-19’s Pandemic Relationship to Saudi Arabia’s Weather Using Statistical Analysis and gis

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Computer Systems Science & Engineering 2022年第8期42卷 813-823页

作者： Ranya Fadlalla Elsheikh gis Department Faculty of Social SciencesJeddah UniversityJeddahSaudi Arabia School of Survey Faculty of EngineeringSudan University of Science and TechnologyKhartoumSudan

The eruption of the novel Covid-19 has changed the socio-economic conditions of the *** escalating number of infections and deaths seriously threatened human health when it became a pandemic from an *** developed into an alarming situation when the World Health Organization(WHO)declared a health emergency in MARCH *** geographic settings and weather conditions are systematically linked to the spread of the *** concentration of population and weather attributes remains vital to study a pandemic such as *** current work aims to explore the relationship of the population,weather conditions(humidity and temperature)with the reported novel Covid-19 cases in the Kingdom of Saudi Arabia(KSA).For the study,the data for the reported Covid-19 cases was secured from 11 March 2020,to 21 July 2020(132 days)from the 13 provinces of *** Governorate level data was used to estimate the population data.A Geographic information system(gis)analysis was utilised to visualise the *** results suggested that a significant correlation existed between the population and Covid-19 *** the weather conditions,the data for the 13 provinces of KSA for the same period was utilised to estimate the relationship between the weather conditions and Covid-19 ***’s rank correlation results confirmed that the humidity was significantly linked with the reported cases of Covid-19 in Makkah,Aseer,Najran,and Al Baha *** temperature had a significant relation with the reported Covid-19 cases in Al-Riyad,Makkah,Al-Madinah,Aseer,Najran,and *** inconsistency of the results highlighted the variant behavior of Covid-19 in different regions of the *** exploration is required beyond the weather-related *** for future research and policy direction are offered at the end of the study.

关键词： Covid-19 gis temperature spearman correlation humidity Saudi Arabia

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Seismic vulnerability assessment of urban buildings and traffic networks using fuzzy ordered weighted average

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Journal of Mountain Science 2019年第3期16卷 677-688页

作者： Yasaman ASADI Najmeh Neysani SAMANY Keyvan EZIMAND Department of Remote Sensing and gis Faculty of GeographyUniversity of Tehran Remote Sensing and gis Center Faculty of Earth ScienceUniversity of Shahid Beheshti

Urban buildings and urban traffic network are considered as the vital arteries of cities which have particular effects especially after the crisis in the search and rescue operations. The aim of this study is to determine the vulnerability of urban areas especially, buildings and traffic networks using multicriteria geographic information systems and decisionmaking methods. As there are many effective criteria on the seismic vulnerability that they have uncertain and vague properties, the method of this paper is applying fuzzy ordered weighted average(OWA) to model the seismic vulnerability of urban buildings and traffic networks in the most optimistic and pessimistic states. The study area is district 6 of Tehran that is affected by the four major faults, and thus will be threatened by the earthquakes. The achieved results illustrated the vulnerability with different degrees of risk levels including very high, high, medium, low and very low. The results show that in the most optimistic case 14% and in the pessimistic case 1% of buildings tolerate in very low vulnerability. The vulnerability of urban street network also indicates that in the optimistic case 12% and in the pessimistic case at most 9% of the area are in appropriate condition and the North and NorthEast of the study area are more vulnerable than South of it.

关键词： Earthquake Vulnerability Assessment Urban buildings Traffic network Multi-Criteria Decision Analysis(MCDA) Fuzzy-OWA

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A unified canopy bidirectional reflectance (BRDF) model for row ceops

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Science China Earth Sciences 2012年第5期55卷 824-836页

作者： YAN BinYan XU XiRu FAN WenJie Institute of RS and gis Peking UniversityBeijing 100871China

Row sowing is a basic crop sowing method in China,and thus an accurate Bidirectional Reflectance Distribution Function (BRDF) model of row crops is the foundation for describing the canopy bidirectional reflectance characteristics and estimating crop ecological *** of the macroscopically geometric difference,the row crop is usually regarded as a transition between continuous and discrete vegetation in previous *** row treated as the unit for calculating the four components in the Geometric Optical model (GO model),the formula would be too complex and difficult to *** study focuses on the microscopic structure of row *** the row crop as a result of leaves clumped at canopy scale,we apply clumping index to link continuous vegetation and row ***,the formula of clumping index is deduced *** taking leaf as the basic unit,we calculate the four components of the GO model and develop a BRDF model for continuous vegetation,which is gradually extended to the unified BRDF model for row *** is of great importance to introduce clumping index into BRDF *** order to evaluate the performance of the unified BRDF model,the canopy BRDF data collected in field experiment,"Watershed Allied Telemetry Experiment Research (WATER)",from May 30th to July 1st,2008 are used as the validation dataset for the simulated *** results show that the unified model proposed in this paper is able to accurately describe the non-isotropic characteristics of canopy reflectance for row *** addition,the model is simple and easy to *** general,there is no irreconcilable conflict between continuous and discrete vegetation,so understanding their common and individual characteristics is advantageous for simulating canopy *** is proven that the four components of the GO model is the basic motivational factor for bidirectional reflectance of all vegetation types.

关键词： row crop BRDF clumping clumping index

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