2018
DOI: 10.1016/j.jenvman.2017.10.015
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Remote sensing based deforestation analysis in Mahanadi and Brahmaputra river basin in India since 1985

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Cited by 62 publications
(28 citation statements)
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“…Some researchers in this region have also followed this approach [63,64], but a cursory visit to the region suggests that it will result in over-estimation of natural forest cover due to the ubiquity of regrowing fallows and horticultural plantations. Others that focus on mapping floristic classes of forest do, however, distinguish between natural forest and plantations [22]. But such forest-focused studies ignore shifting cultivation as a land-use, thereby implicitly including different phases of shifting cultivation in the different forest or non-forest classes.…”
Section: Shifting Cultivation Mapping In South Asiamentioning
confidence: 99%
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“…Some researchers in this region have also followed this approach [63,64], but a cursory visit to the region suggests that it will result in over-estimation of natural forest cover due to the ubiquity of regrowing fallows and horticultural plantations. Others that focus on mapping floristic classes of forest do, however, distinguish between natural forest and plantations [22]. But such forest-focused studies ignore shifting cultivation as a land-use, thereby implicitly including different phases of shifting cultivation in the different forest or non-forest classes.…”
Section: Shifting Cultivation Mapping In South Asiamentioning
confidence: 99%
“…But such forest-focused studies ignore shifting cultivation as a land-use, thereby implicitly including different phases of shifting cultivation in the different forest or non-forest classes. For instance, Behera, et al [22] distinguish 16 classes in their land-use change study covering 1985 to 2005. They define a fallow class and a wasteland class without clarifying what it contains, and do not have a separate class for active shifting cultivation or its cyclical fallows.…”
Section: Shifting Cultivation Mapping In South Asiamentioning
confidence: 99%
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“…Forest growth simulations can provide insights into forest dynamics, predict forest yields, guide forest management decisions, and analyze the impact of the environment on forests (Huang et al, 2019;Jandl et al, 2013;Weiskittel et al, 2011). To provide additional economic benefits and improve the ecological environment, the whole forest growth process is usually separated into different subprocesses, which have been the focus for forest experts when analyzing changes of forest growth, including tree diameter growth (Adame et al, 2008;Almeida et al, 2010), height growth (Kearsley et al, 2017;Marziliano et al, 2013), crown width growth (Fu et al, 2013;Sharma et al, 2016), volume estimation (Del Río & Sterba, 2009;Neumann & Jandl, 2005), mortality (Bohlman & Pacala, 2012;Zhao et al, 2004), and deforestation (Bavaghar, 2015;Behera et al, 2018). Therefore, based on various modeling methods, including empirical modeling and process modeling, many forest growth models have been built for these subprocesses (Korzukhin et al, 1996;Pretzsch, 2009;Weiskittel et al, 2011;Burkhart & Tomé, 2012;Adams et al, 2013).…”
Section: Introductionmentioning
confidence: 99%