An integrated GIS-based analysis system for land-use management of lake areas in urban fringe

Liu, Yong; Lv, Xiaojian; Qin, Xiaosheng; Guo, Hao; Yu, Yajuan; Wang, Jinfeng; Mao, Guozhu

doi:10.1016/j.landurbplan.2007.02.012

Cited by 119 publications

(62 citation statements)

References 34 publications

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“…Su desventaja radica en el tiempo empleado y la dificultad de desarrollar modelos apropiados para convertir los valores de reflectividad de la imagen a parámetros biofísicos. Incluye el modelado de reflectividad empleada en los modelos de Li-Strahler, modelos mixtos espectrales y modelos de estimación de parámetros biofísicos (Foresman et al, 1997;López et al, 2001;Allen y Lu, 2003;Deal y Schunk, 2004;Aguilera, 2006;Liu et al, 2007;Molero et al, 2007).…”

Section: ) Modelaciónunclassified

“…Estos son procesos que transforman y combinan datos espaciales del estado actual a través de reglas de decisión para generar un resultado del estado deseado, el cual se basa en la ponderación y compensación de variables que influyen de manera positiva (aptitud) o negativa (impacto) sobre la actividad objeto de decisión. Además de la información geográfica, incorpora los juicios de valor (gustos y preferencias) de los tomadores de decisión (Paegelow et al, 2003;Malczewski, 2004;Liu et al, 2007).…”

Section: ) Modelaciónunclassified

“…Its disadvantage lies in the time spent and the difficulty of developing appropriate models to convert the reflectivity values of the image to biophysical parameters. It includes reflectance modeling used in Li-Strahler models, spectral mixing models and models for estimating biophysical parameters (Foresman et al, 1997;López et al, 2001;Allen and Lu, 2003;Deal and Schunk, 2004;Aguilera, 2006;Liu et al, 2007;Molero et al, 2007).…”

Section: )mentioning

confidence: 99%

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Comparación De Métodos Espaciales Para Detectar Cambios en El Uso Del Suelo Urbano

Jiménez-Moreno¹,

González-Guillén²,

Escalona-Maurice³

et al. 2011

RCHSCFA

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RESUMENEsta investigación describe y analiza algunos métodos de detección de cambios en el uso del suelo originado por el crecimiento urbano con la finalidad de mostrar sus ventajas y desventajas; también expone aquellos métodos que proporcionan resultados favorables fundamentados en la información geográfica y que permiten una correcta toma de decisiones en la planificación del uso del suelo urbano. ABSTRACTThis research describes and analyzes some methods of detecting land-use changes caused by urban growth in order to show their advantages and disadvantages. It also outlines those methods that provide favorable results based on geographical information and enable proper decision-making in urban land-use planning. PALABRAS CLAVE:Uso del suelo urbano, crecimiento urbano, planificación territorial, toma de decisiones, SIG. KEY WORDS:Urban land use, urban growth, land-use planning, decision-making, GIS. INTRODUCCIÓNEl desarrollo poblacional demanda una gran cantidad de servicios y recursos, lo cual puede llegar a impactar negativamente al ambiente y deteriorar la calidad de vida de sus habitantes cuando no se realiza de manera planificada (USGS, 1999). Por tanto, es importante que las autoridades encargadas de la planificación territorial conozcan e implementen metodologías de planificación espacial para detectar y establecer las posibles modificaciones del crecimiento urbano para reorientar y minimizar los impactos bajo un contexto de sustentabilidad.En este proceso de planificación territorial es fundamental el uso de las diferentes disciplinas de la Geomática para caracterizar espacial y temporalmente la dinámica del crecimiento urbano con cierta precisión y detalle, con la finalidad de generar conocimiento útil en la planificación y ordenamiento del te-

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Section: ) Modelaciónunclassified

Section: )mentioning

confidence: 99%

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Comparación De Métodos Espaciales Para Detectar Cambios en El Uso Del Suelo Urbano

Jiménez-Moreno¹,

González-Guillén²,

Escalona-Maurice³

et al. 2011

RCHSCFA

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“…www.scienceasia.org where n is the number of factors, W i is the multiplication of all associated weights in the hierarchy of ith factor (as seen in Tables 2 and 3) and S i is the rating given for the defined class of the ith factor found on the assessed land unit 1,17 . The total suitability scores from each land unit had a score ranging between 0 to 1 and were assembled to create land suitability map for each selected crop.…”

Section: Land Suitability Assessmentmentioning

confidence: 99%

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Tienwong¹,

Dasananda²,

Navanugraha³

2009

ScienceAsia

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ABSTRACT:The main objective of this study is to evaluate the land suitability for cultivation of some economically important energy crops, which are sugarcane and cassava, in Kanchanaburi province, Thailand. To achieve this goal, multicriteria decision making (MCDM) integrated with the 1976 FAO framework for crop plantation was used to assess suitable areas for growing these crops. Several biological and economical factors involved in the analysis were selected based on the FAO framework and experts' opinions. Their data were kept, displayed, and used as individual and combined GIS layers. Each factor received a weight and a score which represented its relative importance in the suitability evaluation by using the analytical-hierarchical process method which is one of the widely used MCDM techniques. A land suitability map for each crop selected was produced based on the linear combination of weight and rating score of each factor involved and classified into 4 suitability classes according to the FAO standard. The proportion of the area highly suitable or moderately suitable for cultivation of sugarcane was 52%, and for cultivation of cassava, 45%. Only a small percentage of the area was not suitable. Typically, the most suitable areas for both crops were located in the eastern and lower part of the province having highly fertile soil and abundant water resources available therein. It was also found that most parts of the suitable area of both crops were located in the existing agricultural land (but being used for other crops/plants).

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“…Urban expansion and spatial restructuring of land use patterns in the Pearl River Delta of South China have been analyzed (Li & Yeh, 2004), and the factors responsible for causing land use changes also have been identified (MacLeod & Moller, 2006;Rasul, Thapa, & Zoebisch, 2004;Tzanopoulos & Vogiatzakis, 2011). GISbased analysis system, biophysical and system approaches have also been developed for land use management and its simulation (Lee, Huang, & Chan, 2008;Liu et al, 2007). Yeh and Li (1998) developed a sustainable land development model to ensure equity between productivity and efficiency in land use.…”

Section: Introductionmentioning

confidence: 99%