レーザを用いた3次元データの活用­ 地形から森林まで ­9月18日（木） 13:30 〜17:00
総合研究棟4階中会議室（412号室）

ワシントン大学

環境学部
森林科学科
モニカ モスカル准教授「3次元レーザーデータを用いた生態系サービスの測定」
千葉大学 園芸学研究科
緑地環境学コース 緑地科学領域
加藤 顕 助教「レーザーを用いた3次元データの活用」

東京大学

空間情報科学研究センター

早川裕弌

「地上レーザ測量で地形変化を捉える：静岡県大谷崩の例」

Applications of three-dimensional
data using laser measurements:
forestry and geomorphology
Sep 18, 2014 (Thu) 13:30 〜17:00
rm. 412, Research Complex Bldg.
Kashiwa Cmpus, The University of Tokyo

Dr. L. Monika Moskal

Associate Professor
College of the Environment, Schoolof Environmental and ForestSciences, University of Washington“LIDAR for the measurementof forest ecosystem services”

Dr. Akira Kato

Assistant Professor
Field of Landscape Resource Science, Landscape
Science, Graduate School of Horticulture, Chiba
University“Applications of three-dimensional data by LIDAR”

Dr. Yuichi S. Hayakawa

Assoc. Prof. Center for Spatial Information Science, The University of Tokyo“Capturing landform changes by TLS: a case study at Ohyakuzure landslide”

L. Monika Moskal
University of Washington
Dr. Moskal is an Associate Professor
of Remote Sensing in the College oftheEnvironment,
SchoolofEnvironmental and Forest Sciences atthe University of Washington (UW),Seattle, Washington, USA, where she
Directs
thePrecision
Forestry
Cooperative, an advance technology
initiative specializing in using hightechnology sensing and analytical tools
to support site-specific economic,environmental,andsustainabledecision making for the forestry sector. She also runs the UW Remote Sensing and Geospatial
Analysis Laboratory (RSGAL), focused on understanding multiscale and multidimensional
dynamics of landscape change through the application of hyper-resolution remote sensing.
RSGAL develops methods necessary to analyze hyper-resolution remotely sensed data byexploiting spatial, temporal and spectral capabilities of the data for the following themes:
ecosystem services and function, bioenergy/biomass, forest health and inventories, changeanalysis, biodiversity and habitat mapping. Moskal received her PhD from the University ofKansas, Department of Geography in 2005, where she was advised by Dr. Mark Jakubauskas andworked at the Kansas Applied Remote Sensing Program.
LIDAR for the measurement and monitoring of forest ecosystem services
Ecosystem services can be categorized into: provision, regulating, supporting, preserving andcultural services. All of these amenities can be attributed to forested environments and arebecoming a targetable issue for sustainable management of these resources. Because field studies
represent only a snapshot in the spatiotemporal continuum of a landscape, remote sensing can
assist with spatially explicit modeling at a site, watershed and landscape levels. Although, a widearray of remote sensing approaches for ecosystem assessment has been developed over decades,
these are applicable to imaging satellite datasets, and come with limitations related to theresolution and lack of spatial (and three dimensional in the case of forests) detail. It is with theonset of lidar and our ability to capture the detailed and even leaf level structure of the forested
landscape that remote sensing of ecosystem services has become feasible. This talk will focus onproviding examples of provision services mapping, such as biomass and cellulosic biofuels
estimation. Regulatory services will be explored through examples of detailed modeling offorests in the Pacific Northwest applied to a variety of purposes, including the close study of theriparian forest/water interface and function for the suitability and sustainability of salmon habitat.
Preserving services related to biodiversity, habitat and accounting for uncertainty will also beaddressed through examples of monitoring forested wetlands on Mt. Rainier, Washington. The
study extends beyond the suitability of habitat toward the ecosystem services of the forest forquality drinking water. Finally, discussion on how supporting and cultural services, such as
pest/disease control and recreational opportunities, can also be addressed with lidar remotesensing will be provided.