2013
DOI: 10.1117/1.jrs.7.073520
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Detection of alpine tree line change with high spatial resolution remotely sensed data

Abstract: This study examined vegetation distribution and tree line change in the Sangong River watershed in the Tianshan Mountains, Xinjiang, China, using aerial photographs from 1962 and 1981 and a QuickBird image from 2006. An object-oriented classification method was used to map vegetation distribution, and the postclassification comparison approach was used to detect vegetation change. The results were linked to digital elevation model data for exploring the relationships between vegetation distribution/expansion a… Show more

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Cited by 19 publications
(20 citation statements)
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“…However, of the studies highlighted here, only seven (Allen and Walsh, 1996;Bharti et al, 2012;Dinca et al, 2017;Hill et al, 2007;Luo and Dai, 2013;Mihai et al, 2017;Resler et al, 2004) provide a quantitative accuracy assessment of the classification produced, either through a traditional confusion table with percent accuracy or through regression as in Hill et al (2007). In some cases (e.g.…”
Section: Training and Validationmentioning
confidence: 99%
See 3 more Smart Citations
“…However, of the studies highlighted here, only seven (Allen and Walsh, 1996;Bharti et al, 2012;Dinca et al, 2017;Hill et al, 2007;Luo and Dai, 2013;Mihai et al, 2017;Resler et al, 2004) provide a quantitative accuracy assessment of the classification produced, either through a traditional confusion table with percent accuracy or through regression as in Hill et al (2007). In some cases (e.g.…”
Section: Training and Validationmentioning
confidence: 99%
“…Allen and Walsh, 1996;Hill et al, 2007), assessment of distribution change (e.g. Bharti et al, 2012;Luo and Dai, 2013;Mihai et al, 2017), and to better understand how environmental factors act to influence variation in treeline position and structure over differing geographic scales (Weiss et al, 2015).…”
Section: The Impact Of Treeline Advancementioning
confidence: 99%
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“…RS and GIS technologies have been introduced into the study of the alpine tree line. Remotely-sensed classification information and digital elevation models (DEM) were used to extract the demarcation elevation of the alpine tree line, which greatly improved the efficiency and comprehensiveness of the study of alpine tree line locations [21,[25][26][27][28]. However, there are still some problems in the study of demarcation elevation.…”
mentioning
confidence: 99%