Tropical Peatland Eco-Management 2021
DOI: 10.1007/978-981-33-4654-3_5
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Evaluation of Eco-Management of Tropical Peatlands

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Cited by 4 publications
(2 citation statements)
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“…This finding has important implications for mapping the distribution of tropical peatlands as maps based on remote sensing data have typically assumed a direct link between ecosystem types based on their structure and floristic composition and the presence of peat (Dargie et al, 2017; Draper et al, 2014). Our work supports approaches that use remote sensing products, such as ALOS PALSAR and particularly PALSAR's L‐band synthetic aperture radar that penetrates the forest and can detect the presence of surface water (Tsuji et al, 2021; Hess et al, 2003, Hastie et al, 2022). Approaches that use multi‐temporal PALSAR images are particularly promising for indicating permanent waterlogged conditions suitable for peat accumulation (e.g.…”
Section: Discussionsupporting
confidence: 75%
“…This finding has important implications for mapping the distribution of tropical peatlands as maps based on remote sensing data have typically assumed a direct link between ecosystem types based on their structure and floristic composition and the presence of peat (Dargie et al, 2017; Draper et al, 2014). Our work supports approaches that use remote sensing products, such as ALOS PALSAR and particularly PALSAR's L‐band synthetic aperture radar that penetrates the forest and can detect the presence of surface water (Tsuji et al, 2021; Hess et al, 2003, Hastie et al, 2022). Approaches that use multi‐temporal PALSAR images are particularly promising for indicating permanent waterlogged conditions suitable for peat accumulation (e.g.…”
Section: Discussionsupporting
confidence: 75%
“…for a comparable modelling area) compared with coarse‐scale studies. In addition, empirical peat physical properties data, meteorological data and ditch/peatland water‐level data are still limited in tropical peatland settings and would add value to fine‐scale modelling studies (Deshmukh et al, 2021; Hoyt et al, 2019; Nguyen‐Thi et al, 2021; Tsuji et al, 2021).…”
Section: Discussionmentioning
confidence: 99%