Assessing the potential of multi-seasonal high resolution Pléiades satellite imagery for mapping urban tree species

2018 ◽  
Vol 71 ◽  
pp. 144-158 ◽  
Author(s):  
Ruiliang Pu ◽  
Shawn Landry ◽  
Qiuyan Yu
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Tree Species ◽  
Urban Tree

scholarly journals Potential of High-Resolution Satellite Imagery for Mapping Distribution and Evaluating Ecological Characteristics of Tree Species at the Angkor Monument, Cambodia

2015 ◽  
Vol 7 (3) ◽  
pp. 49-59
Author(s):  
Mizuki Tomita ◽  
Yoshihiko Hirabuki ◽  
Yuji Araki ◽  
Shinji Tsukawaki ◽  
Bora Ly ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Tree Species ◽  
Dominant Species ◽  
Forest Composition ◽  
Individual Species ◽  
Clear Understanding ◽  
Ecological Traits ◽  
Study Plot ◽  
Large Trees

Abstract Large trees play several vital roles in the Angkor monuments landscape. They protect biodiversity, enhance the tourism experience, and provide various ecosystem services to local residents. A clear understanding of forest composition and distribution of individual species, as well as timely monitoring of changes, is necessary for conservation of these trees. using traditional field work, obtaining this sort of data is time-consuming and labour-intensive. This research investigates classification of very high resolution remote sensing data as a tool for efficient analyses. QuickBird satellite imagery was used to clarify the tree species community in and around Preah Khan temple, to elucidate differences in ecological traits among the three dominant species (Dipterocarpus alatus, Lagerstroemia calyculata and Tetrameles nudiflora), and to identify crowns of the dominant species. Population structures of trees were determined using a 14.26ha study plot. Species name, DBH, height, height under the crown and crown area were recorded for all trees over 40 cm in DBH. Tree locations were also recorded so as to provide references for the imagery analysis. Ecological traits of the dominant species were estimated using regressions by an expanded allometric equation for both large and small trees, based on DBH, height, height under the crown and crown width. The total number of species in the study plot was 45. From a spatial perspective, the three dominant species over 100 cm in DBH were segregated from each other. D. alatus, L. calyculata and T. nudiflora were concentrated, respectively, along the approach to the temple, near the centre of the complex, and on the walls of the monument. Object Based Image Analysis (OBIA) conducted using QuickBird satellite imagery, showed that crowns of D. alatus were largely determined by maximum of NIR layer and mean of digital number in panchromatic layer. Differences in the parameters for both asymptotic height and spatial distribution among the dominant species, result from differences in ecological traits, and enhance the value of the tourism resource by providing a dramatic shift of forest scenery that can be enjoyed by visitors to the monument.

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