Land use/cover disturbance due to tourism in Jeseníky Mountain, Czech Republic: A remote sensing and GIS based approach

Boori, Mukesh Singh; Voženílek, Vít; Choudhary, Komal

doi:10.1016/j.ejrs.2014.12.002

Cited by 88 publications

(52 citation statements)

References 16 publications

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“…Darjeeling district has been challenges of various natural disasters in recent times and unemployment that may promote the people's migration from hilly areas to the plains. Moreover, environmental problems due to tourism and land cover disturbance are major problems in hilly regions (Boori et al 2014). Agricultural development and rural tourism can play a necessary role to make villagers selfsustainable as well as socio-economic development.…”

Section: Introductionmentioning

confidence: 99%

“…GIS techniques are also used to construct various criteria maps which are applied in analytical hierarchy process to formulate the site suitability model for agricultural development (Xu et al 2012). The development of agriculture will not only improve the rural economy but also promote the diversification of poor farmers and rural tourism that can prevent the migration activity of poor people from hilly areas to the plain lands (Boori et al 2014). Moreover, the very small land is available for agricultural development in the study area because of high variation in elevation and abundance of natural resources.…”

Section: Introductionmentioning

confidence: 99%

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Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques

Pramanik

2016

Model. Earth Syst. Environ.

188

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Darjeeling district covered with 60.89 % of its land under Himalayan dense forest producing exquisite biodiversity and variations in climate with a diversified fauna and flora. Therefore, designs great scope for agricultural development in the rural area of the Himalayan foothills to boost rural economies. However, agriculture not mostly developed in this district due to different physical threats (such as very high slope and elevation, dense vegetation cover, fewer irrigation facilities, dry soil, etc.), socio-economic problems and lack of adequate transportation. Land suitability analysis can help to establish the strategies for the development of agricultural productivity. AHP with the integration of GIS-based multicriterion decision making an approach using DEM and Landsat 8 satellite data was utilized to evaluate land suitability for agriculture production in hilly areas. Various 'expert opinions' was used to determine the results of selected parameters whereas pairwise comparison matrix used to established the weights. About, 5.31 % area is classified in the class highly suitable, 29.82 % in moderately suitable, 24.27 % in marginally suitable, and 40.60 % in unsuitable for agriculture. The techniques, methodology and results of the study can be effective to assess the suitable land for agriculture in hilly regions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques

Pramanik

2016

Model. Earth Syst. Environ.

188

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“…The consensus in the wake of the United Nations Conference on Environment and Development (UNCED) suggests that the implementation of what has come to be known as "sustainable development" should be based on local-level solutions derived from community initiatives [3][4][5]. This reasoning comes with a long pedigree, dating at least from The Ecologist's "Blueprint for Survival", Schumacher's [6] "Small is Beautiful" and more recently, the Brundtland Commission [7,8] Statements of intent on global environmental problems issued following the 1992 Earth Summit, including Agenda 21 and the Desertification Convention, strongly advocate as solutions a combination of government decentralization, devolution to local communities of responsibility for natural resources held as commons, and community participation [9,10].…”

Section: Empowermentmentioning

confidence: 99%

A Multi-Criteria Approach: For Empowerment to Enhancing Community Sustainable Development

Novacek¹

2014

J Geophys Remote Sens

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Editorial Proposed Outline of the ResearchFor community sustainable development the concept is 'Think globally, act locally and plan regionally' . Rural communities are the major entities in developing and third-world countries. While outsiders want to develop local community, they should develop the local conditions and sustain the result. In order to get sustainability among rural communities, technology becomes a booster to reach it. However, the success rates of many community development projects result only compare between to reach it. However, the success rate of many community Furthermore, when its result reaches sustainable condition of community development, many communities cannot further maintain as well as develop their sustainable development because low level of empowerment. This type of research work will attempt to develop conceptual framework how to reach the sustainable development in a community which was strengthened through the implementation of appropriate technology in order to reach empowerment. With the involvement of local residents, planners, and interest groups, a system model of more than 25 variables must be use.

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“…To better understand these impacts, LUC changes (LUCC) caused by urbanization need to be quantified accurately. Remote sensing is the latest technique that has been used to estimate LUCC [6][7][8][9], and the Landsat imagery acquired by MSS, TM, ETM+ and OLI sensors have been widely used for such a purpose [10] due to its long records and free availability [11,12].…”

Section: Introductionmentioning

confidence: 99%

Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique

2017

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Guangzhou has experienced a rapid urbanization since 1978 when China initiated the economic reform, resulting in significant land use/cover changes (LUC). To produce a time series of accurate LUC dataset that can be used to study urbanization and its impacts, Landsat imagery was used to map LUC changes in Guangzhou from 1987 to 2015 at a three-year interval using a multiple classifier system (MCS). The system was based on a weighted vector to combine base classifiers of different classification algorithms, and was improved using the AdaBoost technique. The new classification method used support vector machines (SVM), C4.5 decision tree, and neural networks (ANN) as the training algorithms of the base classifiers, and produced higher overall classification accuracy (88.12%) and Kappa coefficient (0.87) than each base classifier did. The results of the experiment showed that, based on the accuracy improvement of each class, the overall accuracy was improved effectively, which combined advantages from each base classifier. The new method is of high robustness and low risk of overfitting, and is reliable and accurate, and could be used for analyzing urbanization processes and its impacts.

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Land use/cover disturbance due to tourism in Jeseníky Mountain, Czech Republic: A remote sensing and GIS based approach

Cited by 88 publications

References 16 publications

Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques

Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques

A Multi-Criteria Approach: For Empowerment to Enhancing Community Sustainable Development

Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique

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