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Assessing Structure and Condition of Temperate And Tropical Forests : = Fusion of Terrestrial Lidar and Airborne Multi-Angle and Lidar Remote Sensing.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Assessing Structure and Condition of Temperate And Tropical Forests :/
Reminder of title:	Fusion of Terrestrial Lidar and Airborne Multi-Angle and Lidar Remote Sensing.
Author:	Saenz, Edward J.
Description:	1 online resource (139 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
Subject:	Environmental science. -
Online resource:	click for full text (PQDT)
ISBN:	9781369816662

Assessing Structure and Condition of Temperate And Tropical Forests : = Fusion of Terrestrial Lidar and Airborne Multi-Angle and Lidar Remote Sensing.
Saenz, Edward J.

Assessing Structure and Condition of Temperate And Tropical Forests :Fusion of Terrestrial Lidar and Airborne Multi-Angle and Lidar Remote Sensing. - 1 online resource (139 pages)

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.

Thesis (Ph.D.)--University of Massachusetts Boston, 2017.

Includes bibliographical references

Forests provide vital ecosystem functions and services that maintain the integrity of our natural and human environment. Understanding the structural components of forests (extent, tree density, heights of multi-story canopies, biomass, etc.) provides necessary information to preserve ecosystem services. Increasingly, remote sensing resources have been used to map and monitor forests globally. However, traditional satellite and airborne multi-angle imagery only provide information about the top of the canopy and little about the forest structure and understory. In this research, we investigative the use of rapidly evolving lidar technology, and how the fusion of aerial and terrestrial lidar data can be utilized to better characterize forest stand information. We further apply a novel terrestrial lidar methodology to characterize a Hemlock Woolly Adelgid infestation in Harvard Forest, Massachusetts, and adapt a dynamic terrestrial lidar sampling scheme to identify key structural vegetation profiles of tropical rainforests in La Selva, Costa Rica.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369816662Subjects--Topical Terms:

1179128
Environmental science.
Index Terms--Genre/Form:

554714
Electronic books.

Assessing Structure and Condition of Temperate And Tropical Forests : = Fusion of Terrestrial Lidar and Airborne Multi-Angle and Lidar Remote Sensing.
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245 1 0 $a Assessing Structure and Condition of Temperate And Tropical Forests : $b Fusion of Terrestrial Lidar and Airborne Multi-Angle and Lidar Remote Sensing.
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300 $a 1 online resource (139 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
500 $a Adviser: Crystal Schaaf.
502 $a Thesis (Ph.D.)--University of Massachusetts Boston, 2017.
504 $a Includes bibliographical references
520 $a Forests provide vital ecosystem functions and services that maintain the integrity of our natural and human environment. Understanding the structural components of forests (extent, tree density, heights of multi-story canopies, biomass, etc.) provides necessary information to preserve ecosystem services. Increasingly, remote sensing resources have been used to map and monitor forests globally. However, traditional satellite and airborne multi-angle imagery only provide information about the top of the canopy and little about the forest structure and understory. In this research, we investigative the use of rapidly evolving lidar technology, and how the fusion of aerial and terrestrial lidar data can be utilized to better characterize forest stand information. We further apply a novel terrestrial lidar methodology to characterize a Hemlock Woolly Adelgid infestation in Harvard Forest, Massachusetts, and adapt a dynamic terrestrial lidar sampling scheme to identify key structural vegetation profiles of tropical rainforests in La Selva, Costa Rica.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Environmental science. $3 1179128
650 4 $a Remote sensing. $3 557272
655 7 $a Electronic books. $2 local $3 554714
690 $a 0768
690 $a 0799
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Massachusetts Boston. $b Environmental Sciences. $3 1184660
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