Application of fuzzy models for the monitoring of ecologically sensitive ecosystems in a dynamic semi‐arid landscape from satellite imagery

Lin, Meng‐Lung; Chen, Cheng‐Wu

doi:10.1108/02644401011008504

Cited by 72 publications

(23 citation statements)

References 42 publications

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“…These systems are so overwhelmingly dependent on the external environment and socio-economic conditions that urban land-cover in arid regions is characterized by rapid succession and instability [16]. Background surface substrates show strong spatial heterogeneity and low resistance to landscape evolution [17].…”

Section: Introductionmentioning

confidence: 99%

Urban Land-Cover Dynamics in Arid China Based on High-Resolution Urban Land Mapping Products

Pan

Zhang

et al. 2017

Remote Sensing

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Abstract:Rapid urbanization has occurred in northwestern China, threatening the sustainability of its fragile dryland ecosystems. A lack of precise urban land-cover information has limited our understanding on the urbanization in the dryland. Here, we examined urban land-cover changes from 2000 to 2014 in 21 major cities that comprise over 50% of the developed land in arid China, using Landsat Enhanced Thematic Mapper Plus and Operational Land Imager data, and a hybrid classification method. The 15-m resolution urban land-cover products (including impervious surfaces, vegetation, bare soil, and water bodies) had an overall accuracy of 90.37%. Based on these new land use products, we found the urbanization in arid China was characterized by the dramatic expansion of impervious surface (+13.23%) and reduction of bare soil (−13.41%), while the proportions of vegetation (+0.27%) and water (−0.10%) remained stable. The observed dynamic equilibrium of vegetated ratio implies an increasing harmonization of urbanization and greening, which was particularly important for the sustainability of fragile urban ecosystems in arid regions. From an economic perspective, gross domestic product and population were significantly correlated with impervious surfaces, and oasis cities displayed a stronger ability to attract new residents than desert cities.

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Section: Introductionmentioning

confidence: 99%

Urban Land-Cover Dynamics in Arid China Based on High-Resolution Urban Land Mapping Products

Pan

Zhang

et al. 2017

Remote Sensing

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“…Such layers are divided to 3 categories, ie, input layer, hidden layers, and output layer. In addition, ANNs contain weights for interconnecting the nodes of successive layers . As the signal is carried from one node to the other, the mentioned weights will be modified, in the course of an iterative process, which uses an algorithm called training algorithm.…”

Section: Models Developed For Predicting the Application Of Biphasic mentioning

confidence: 99%

Intelligent tools to model photocatalytic degradation of beta‐naphtol by titanium dioxide nanoparticles

Ijadpanah-Saravi

Safari

Noruzi-Masir³

et al. 2017

Journal of Chemometrics

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Feasibility of applying intelligent tools in prediction and optimization of photocatalytic degradation of beta-naphthol using the titanium dioxide (TiO 2 ) nanoparticles were conducted in this study. Biphasic TiO 2 nanoparticles were synthesized using the controlled hydrolysis of TiCl 4 , and their properties were studied using the Xray diffraction and transmission electron microscopy methods. Therefore, factors affecting photocatalytic degradation of beta-naphthol including impurity concentration, catalyst content, acidity, and aeration rate were monitored and controlled. The laboratory data showed that degradation rate of beta-naphthol is a complicated nonlinear function of monitored variables. Two models including artificial network trained with particle swarm optimization (ANN-PSO) and adaptive neuro-fuzzy interference system trained with particle swarm optimization (ANFIS-PSO) were used for prediction of this system. The results showed presence of a significant relation between the real and predicted data of these 2 models. However, ANFIS-PSO can be more efficiently applied for prediction and optimization of photocatalytic behavior of TiO 2 nanoparticles as for degradation of beta-naphthol as compared to ANN-PSO. As an advantage, ANFIS eliminates the problems of fuzzy logic, such as creation of membership functions, and local minima, which should be located in design of ANN, and through PSO algorithm, it could be a very powerful tool for simulating kinds of processes.

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“…Similarly, many researchers have applied fuzzy based approaches to deal with real empirical or practical application (see e.g. [33][34][35][36][37][38][39][40][41][42][43][44][45]). In this way, an imprecise processing time with some tolerance values (e.g.…”

Section: Pmsm Under Uncertaintymentioning

confidence: 99%

A particle swarm optimization for a fuzzy multi-objective unrelated parallel machines scheduling problem

Torabi

Sahebjamnia

Mansouri

et al. 2013

Applied Soft Computing

108

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Application of fuzzy models for the monitoring of ecologically sensitive ecosystems in a dynamic semi‐arid landscape from satellite imagery

Cited by 72 publications

References 42 publications

Urban Land-Cover Dynamics in Arid China Based on High-Resolution Urban Land Mapping Products

Urban Land-Cover Dynamics in Arid China Based on High-Resolution Urban Land Mapping Products

Intelligent tools to model photocatalytic degradation of beta‐naphtol by titanium dioxide nanoparticles

A particle swarm optimization for a fuzzy multi-objective unrelated parallel machines scheduling problem

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