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Mapping forest structure, species gr...

Gu, Huan.

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Mapping forest structure, species gradients and growth in an urban area using lidar and hyperspectral imagery.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mapping forest structure, species gradients and growth in an urban area using lidar and hyperspectral imagery./
作者:	Gu, Huan.
面頁冊數:	156 p.
附註:	Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.
Contained By:	Dissertation Abstracts International76-06B(E).
標題:	Agriculture, Urban Forestry. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3680343
ISBN:	9781321523171

Mapping forest structure, species gradients and growth in an urban area using lidar and hyperspectral imagery.
Gu, Huan.

Mapping forest structure, species gradients and growth in an urban area using lidar and hyperspectral imagery. - 156 p.

Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2015.

This item must not be sold to any third party vendors.

Urban forests play an important role in the urban ecosystem by providing a range of ecosystem services. Characterization of forest structure, species variation and growth in urban forests is critical for understanding the status, function and process of urban ecosystems, and helping maximize the benefits of urban ecosystems through management. The development of methods and applications to quantify urban forests using remote sensing data has lagged the study of natural forests due to the heterogeneity and complexity of urban ecosystems.

ISBN: 9781321523171Subjects--Topical Terms:

1674015
Agriculture, Urban Forestry.

Mapping forest structure, species gradients and growth in an urban area using lidar and hyperspectral imagery.
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100 1 $a Gu, Huan. $3 3170936
245 1 0 $a Mapping forest structure, species gradients and growth in an urban area using lidar and hyperspectral imagery.
300 $a 156 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-06(E), Section: B.
500 $a Adviser: Philip A. Townsend.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2015.
506 $a This item must not be sold to any third party vendors.
520 $a Urban forests play an important role in the urban ecosystem by providing a range of ecosystem services. Characterization of forest structure, species variation and growth in urban forests is critical for understanding the status, function and process of urban ecosystems, and helping maximize the benefits of urban ecosystems through management. The development of methods and applications to quantify urban forests using remote sensing data has lagged the study of natural forests due to the heterogeneity and complexity of urban ecosystems.
520 $a In this dissertation, I quantify and map forest structure, species gradients and forest growth in an urban area using discrete-return lidar, airborne imaging spectroscopy and thermal infrared data. Specific objectives are: (1) to demonstrate the utility of leaf-off lidar originally collected for topographic mapping to characterize and map forest structure and associated uncertainties, including aboveground biomass, basal area, diameter, height and crown size; (2) to map species gradients using forest structural variables estimated from lidar and foliar functional traits, vegetation indices derived from AVIRIS hyperspectral imagery in conjunction with field-measured species data; and (3) to identify factors related to relative growth rates in aboveground biomass in the urban forests, and assess forest growth patterns across areas with varying degree of human interactions.
520 $a The findings from this dissertation are: (1) leaf-off lidar originally acquired for topographic mapping provides a robust, potentially low-cost approach to quantify spatial patterns of forest structure and carbon stock in urban areas; (2) foliar functional traits and vegetation indices from hyperspectral data capture gradients of species distributions in the heterogeneous urban landscape; (3) species gradients, stand structure, foliar functional traits and temperature are strongly related to forest growth in the urban forests; and (4) high uncertainties in our ability to map forest structure, species gradient and growth rate occur in residential neighborhoods and along forest edges. Maps generated from this dissertation provide estimates of broad-scale spatial variations in forest structure, species distributions and growth to the city forest managers. The associated maps of uncertainty help managers understand the limitations of the maps and identify locations where the maps are more reliable and where more data are needed.
590 $a School code: 0262.
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650 4 $a Remote Sensing. $3 1018559
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710 2 $a The University of Wisconsin - Madison. $b Forestry. $3 3170937
773 0 $t Dissertation Abstracts International $g 76-06B(E).
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791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3680343