2019
DOI: 10.1016/j.ecoleng.2018.12.020
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Spatio-temporal forest cover dynamics along road networks in the Central Himalaya

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Cited by 26 publications
(10 citation statements)
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“…Mean values of UA and PA are given in Table 2 for each class. Assessing class-wise UA and PA provides more insight in the classification accuracy of individual classes [53]. Most of the LULC classes have more than 70% UA and PA in each of the years indicating good classification accuracy as generally accepted.…”
Section: Spatiotemporal Lulc Changesmentioning
confidence: 99%
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“…Mean values of UA and PA are given in Table 2 for each class. Assessing class-wise UA and PA provides more insight in the classification accuracy of individual classes [53]. Most of the LULC classes have more than 70% UA and PA in each of the years indicating good classification accuracy as generally accepted.…”
Section: Spatiotemporal Lulc Changesmentioning
confidence: 99%
“…This study offers a detailed account of urbanization in the largest urban settlement in the Himalaya, providing a gauge to compare urban growth in cities located across different mountain valleys. Evidence from Himalaya suggest an increasing urbanization extent [38,54] along with potential landscape ecological risk from the coupled effects of growth [53]. A major attempt at understanding the urban growth in Himalayan cities was made by Diksha and Kumar [54], analysing their urban sprawl and land consumption pattern.…”
Section: Spatiotemporal Evolution Of the Urban Landscapementioning
confidence: 99%
“…Road and infrastructure construction is considered to be an essential part of forestry as forests become sustainable and profitable only if they are connected with a suitable road network, (see, for example, road network assessments in Europe [1], Turkey [2], the Himalayas [3], and the Amazon [4]). With the construction of forest roads, any forest can potentially be opened for financial gain and sustainable maintenance; they are the skeleton of integrated openings of forests, mountains, etc., and are the basis for any activity.…”
Section: Introduction 1forest Roadsmentioning
confidence: 99%
“…In recent years, a morphological spatial pattern analysis method (MSPA) focusing on measuring structural connectivity has been introduced into the identification of ecological sources. Emphasizing on structural connection, this method only depends on land use data [14][15][16]. After the classification of land use to extract forest, wetland, water, and other natural ecological elements as a foreground and other land use types as the background, a series of image processing methods are used to divide the foreground into seven non-overlapping categories (namely, core, bridge, ring, edge, branch, loop, islet, and performation), and then landscape types that are important for maintaining connectivity are identified, which increases the scientific nature of ecological source and ecological corridor selection [17,18].…”
Section: Introductionmentioning
confidence: 99%