2016
DOI: 10.1007/s11676-016-0242-1
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Integrated use of GIS, remote sensing and multi-criteria decision analysis to assess ecological land suitability in multi-functional forestry

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Cited by 19 publications
(10 citation statements)
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“…The use of the indirect proxies may be seen as a weakness of our approach, whereas the MAUT-based valuation, which allowed a direct use of these proxies without the requirement for conversion to monetary values, is expected to reduce the uncertainties between the decisions. Unlike in the study of Sani et al (2016), we obtained this information without expert (or stakeholder) involvement using existing models. Whether the preferences of the stakeholders toward the ESs were known, incorporating them in the analyses would have been straightforward based on the techniques reviewed by Uhde et al (2015) and Pukkala et al (2014).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The use of the indirect proxies may be seen as a weakness of our approach, whereas the MAUT-based valuation, which allowed a direct use of these proxies without the requirement for conversion to monetary values, is expected to reduce the uncertainties between the decisions. Unlike in the study of Sani et al (2016), we obtained this information without expert (or stakeholder) involvement using existing models. Whether the preferences of the stakeholders toward the ESs were known, incorporating them in the analyses would have been straightforward based on the techniques reviewed by Uhde et al (2015) and Pukkala et al (2014).…”
Section: Discussionmentioning
confidence: 99%
“…Applying RS data to analyze multiple forest ESs, Frank et al (2015) evaluated the biomass provisioning potential and tradeoffs for other ESs, when the land use of a region located in Germany was expected to change according to climate-adapted management scenarios. Sani et al (2016) carried out a spatial MCDA based on multi-source data and expert knowledge to rank alternative land uses in a mountain forest in Iran. Matthies et al (2016) assessed intra-service tradeoffs within the Payments for Ecosystem Services (PES) scheme based on the Finnish MS-NFI data.…”
Section: [ Table 1 Around Here ]mentioning
confidence: 99%
“…The challenge is then to find georeferenced data at a good quality and appropriate spatial resolution that allow the deduction of sound environmental indicator values and the drawing of an accurate picture of the status of a forest ecosystem. Moreover, in corporate decision-making on products and raw materials, the use of georeferenced data is not yet the state of the art as it is in landscape, resource and infrastructure planning [55][56][57].…”
Section: Site-dependent Aspectsmentioning
confidence: 99%
“…Geoinformatics plays a very vital role in this. Geographic information system (GIS) and multi criteria decision analysis (MCDA) have been rapidly used to amend the land management (Ahmadi et al 2016). The main objective of this present research work is: recommendation of future work and provide guidelines for Land Resource Management in Keolari block, Seoni district, Madhya Pradesh using GIS and Remote sensing and multi criteria analysis.…”
Section: Introductionmentioning
confidence: 99%