B31D:
Remote Sensing in Terrestrial Ecosystems: Cross-Scale Approaches to Understanding Structure, Function, and Process IV Posters

Submit an Abstract to this Session



Session ID#: 26217

Session Description:
Advances in remote sensing technologies offer unprecedented opportunities to understand ecosystem structure and function at spatial and temporal scales never before possible. New sensors, increased data availability, and emerging technologies facilitate novel, cross-disciplinary approaches to advance our understanding of terrestrial systems. Near Earth and Satellite derived data products have allowed researchers to link trends in vegetative traits, such as foliar chemistry and net primary productivity, to key ecosystem processes such as decomposition, nutrient cycling, and biodiversity. Combined approaches, integrating remote sensing data products with in situ and experimental measurements, can help improve the monitoring and management of ecosystem changes over time and increase the accuracy of ecosystem models. How do we use remote sensing data to scale up ground measurements? What are key opportunities to inform understanding of ecosystem dynamics and biogeochemical cycles? We invite submissions from researchers using remote sensing technologies to study ecosystem structure, function, and processes.
Primary Convener:  Martha Farella, Stantec Consulting Ltd, Phoenix, United States
Conveners:  Mallory Barnes, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States and David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
Chairs:  Martha Farella, Stantec Consulting Ltd, Phoenix, United States and Mallory Barnes, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States
OSPA Liaison:  David JP Moore, University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States

Cross-Listed:
  • GC - Global Environmental Change
Index Terms:

0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1622 Earth system modeling [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]

Abstracts Submitted to this Session:

Continuous measurement of leaf area index (LAI) over broadleaf crop fields in northeast China (230636)
Hongliang Fang1, Yongchang Ye1, Weiwei Liu2, Shanshan Wei1 and Li Ma1, (1)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (2)Zhejiang University, College of Environment and Resources Science, Hangzhou, China
Diurnal variations in maize and soybean vegetation indices from continuous measurements of ground-based spectral reflectance (232961)
Timothy J Arkebauer and Elizabeth Anne Walter-Shea, University of Nebraska Lincoln, Lincoln, NE, United States
Photon Recollision Probability: a Useful Concept for Cross Scale Consistency Check between Leaf Area Index and Foliage Clumping Products (235132)
Jan Pisek, University of Tartu, Tartu Observatory, Tartu, Estonia
Enhanced Deforestation Mapping in North Korea using Spatial-temporal Image Fusion Method and Phenology-based Index (249441)
Yihua Jin, Seoul National University, Seoul, Korea, Republic of (South) and Dong Kun Lee, Seoul National University, Seoul, South Korea
Mapping forest tree species over large areas with partially cloudy Landsat imagery (257050)
Konrad Turlej and Volker Radeloff, University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States
The Potential of Satellite Imagery to Estimate Chlorophyll-a and Water Clarity Data For the Assessment of Lake Water Quality (257239)
Margot Shrift1, Kathleen C Weathers1, Hamid Norouzi2 and Holly A Ewing3, (1)Cary Institute of Ecosystem Studies, Millbrook, NY, United States, (2)CUNY New York City College of Technology, Civil Engineering Department, Brooklyn, NY, United States, (3)Bates College, Program in Environmental Studies, Lewiston, United States
Vegetation optical depth measured by microwave radiometry as an indicator of tree mortality risk (261071)
Krishna Rao, Stanford University, Stanford, CA, United States, William Anderegg, University of Utah, Salt Lake City, United States, Anna Sala, The University of Montana, Missoula, MT, United States, Jordi Martinez-Vilalta, CREAF, (ESQ5850011G), Cerdanyola Del Valle, Spain and Alexandra G Konings, Stanford University, Earth System Science, Stanford, CA, United States
Quantifying Standing Dead Tree Volume and Structural Loss with Voxelized Terrestrial Lidar Data (263095)
Eric Putman, Texas A&M University College Station, College Station, TX, United States and Sorin C Popescu, Texas A & M University College Station, College Station, TX, United States
Quantifying the Uncertainty in High Spatial and Temporal Resolution Synthetic Land Surface Reflectance at Pixel Level Using Ground-Based Measurements (264776)
Juwon Kong, Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul, South Korea and Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, Korea, Republic of (South)
Development of Early Warning System Using ALOS-2/PALSAR-2 Data to Detect and Prevent Deforestation (267271)
Masato Hayashi1, Izumi Nagatani2, Tomohiro Watanabe2, Takeo Tadono3, Hiroshi Miyoshi2, Manabu Watanabe4, Christian Koyama4, Masanobu Shimada4, Takashi Ogawa5, Keiko Ishii6, Tomohiko Higashiuwatoko5, Mari Miura7, Hiroaki Okonogi7, Kanako Adachi7 and Takahiro Morita7, (1)JAXA Japan Aerospace Exploration Agency, Tsukuba, Japan, (2)JAXA, Tsukuba, Japan, (3)Japan Space Exploration Agency, Tsukuba, Japan, (4)Tokyo Denki University, Hatoyama, Japan, (5)RESTEC, Tsukuba, Japan, (6)RESTEC, Tokyo, Japan, (7)JICA, Tokyo, Japan
1km Global Terrestrial Carbon Flux: Estimations and Evaluations (269908)
Kazutaka Murakami1, Takahiro Sasai2, Soushi Kato3, Makoto Saito1, Tsuneo Matsunaga1, Kaduo Hiraki1 and Shamil S Maksyutov1, (1)National Institute for Environmental Studies, Tsukuba, Japan, (2)Tohoku University, Sendai, Japan, (3)National Institute of Advanced Industrial Science and Technology, Tsukuba, Japan
Soil Degradation Evaluated by a 27 years Landsat image (Vis-Nir-Swir-Tir), climate and digital elevation derivatives (272182)
Jose alexandre Dematte Sr1, Natasha Valadares Santos1, Marina Mendonça de Almeida Malzoni2, Raul Poppiel3, Caio Troula Fongaro1, Rodnei Rizzo4, Jose Lucas Safanelli2, Veridiana Maria Sayão2 and Wanderson Sousa Mendes2, (1)USP University of Sao Paulo, São Paulo, Brazil, (2)USP University of Sao Paulo, Piracicaba, Brazil, (3)UNB University of Brasilia, Brasilia, Brazil, (4)CENA Center for Nuclear Energy in Agriculture, Piracicaba, Brazil
Lidar observed seasonal variation of vertical canopy structure in the Amazon evergreen forests (273778)
Hao Tang and Ralph Dubayah, University of Maryland College Park, Geographical Sciences, College Park, MD, United States
A Drone-based Tropical Forest Experiment to Estimate Vegetation Properties (279340)
Daniel Henke, Remote Sensing Laboratories(RSL), University of Zurich, Zurich, Switzerland
GEONEX: algorithm development and validation of Gross Primary Production from geostationary satellites (283432)
Hirofumi Hashimoto1, Weile Wang2, Sangram Ganguly3, Shuang Li4, Andrew Michaelis1, Atsushi Higuchi5, Hideaki Takenaka6 and Ramakrishna R Nemani4, (1)California State University Monterey Bay, Seaside, CA, United States, (2)NASA/AMES Research Center, Moffett Field, United States, (3)Bay Area Environmental Research Institute Moffett Field, Moffett Field, CA, United States, (4)NASA Ames Research Center, Moffett Field, CA, United States, (5)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, (6)Chiba University, Chiba, Japan
Developing A Model for Lake Ice Phenology Using Satellite Remote Sensing Observations (296047)
Sophia Karina Skoglund1,2, Kathleen C Weathers1, Hamid Norouzi3, Satya Prakash4 and Holly A Ewing5, (1)Cary Institute of Ecosystem Studies, Millbrook, NY, United States, (2)St. Olaf College, Northfield, MN, United States, (3)CUNY New York City College of Technology, Civil Engineering Department, Brooklyn, NY, United States, (4)CUNY New York City College of Technology, Brooklyn, NY, United States, (5)Bates College, Program in Environmental Studies, Lewiston, United States
Remote estimation of crown size and tree density in snowy areas (296396)
Rinako Kishi1, Azuki Ito1, Koki Kamada1, Tomoki Fukita1, Lucy Lahrita2, Youhei Kawase2, Kuriki Murahashi3, Hiroshi Kawamata4, Nobuyasu Naruse4,5 and Yukihiro Takahashi3,6, (1)Hokkaido University, Global Science Campus, Sapporo, Japan, (2)Hokkaido University, Graduate School of Agriculture, Sapporo, Japan, (3)Hokkaido University, Graduate School of Science, Sapporo, Japan, (4)Hokkaido University, Global Science Campus and Institute for the Advancement of Higher Education, Sapporo, Japan, (5)Shiga University of Medical Science, Otsu, Japan, (6)Hokkaido University, Sapporo, Japan
Using Tree-Rings and Remote Sensing to Investigate Forest Productivity Response to Landscape Fragmentation in Northeastern Algeria (298719)
Nesrine Rouini, University of Arizona, School of Geography and Development, Tucson, United States, Kai Lepley, University of Arizona, School of Geography, Development, & Environment, Tucson, AZ, United States and Mohand Messaoudene, University of Tizi Ouzou Mouloud Mammeri, Tizi ouzou, Algeria
An Approach for Forest Inventory in Canada’s Northern Boreal region, Northwest Territories (299336)
Craig Mahoney1, Chris Hopkinson2, Ron Hall3 and Michelle Filiatrault3, (1)University of Lethbridge, Lethbridge, AB, Canada, (2)University of Lethbridge, Geography and Environment, Lethbridge, AB, Canada, (3)Natural Resources Canada - Canadian Forest Service, Edmonton, AB, Canada
Satellite assessment of increasing tree cover 1982-2016 (299687)
Xiao-Peng Song, University of Maryland College Park, College Park, MD, United States and Matthew Hansen, University of Maryland, Department of Geographical Sciences, College Park, United States
Evaluating the relationship between the photochemical reflectance index and the light use efficiency in a mangrove forest with Spartina alterniflora invasion (299690)
Chen Shi1, Le Wang2 and Shanshan Yang1, (1)Capital Normal University, College of Resources Environment and Tourism, Beijing, China, (2)University at Buffalo, Geography, Buffalo, NY, United States
Understanding patterns of vegetation structure and distribution across Great Smoky Mountains National Park using LiDAR and meteorology data (299876)
Jitendra Kumar, Oak Ridge National Laboratory, Climate Change Science Institute, Oak Ridge, TN, United States, William Walter Hargrove, USDA Forest Service, Vallejo, CA, United States, Steven P Norman, USDA Forest Service, Asheville, NC, United States and Dr. Forrest M Hoffman, PhD, Computational Earth Sciences Group and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, United States
Upscaling from leaf to canopy chlorophyll/carotenoid pigment based vegetation indices reveal phenology of photosynthesis in temperate evergreen and deciduous trees (300868)
Christopher Wong, University of Toronto, Toronto, ON, Canada, Yazad Bhathena, University of Toronto Mississauga, Mississauga, ON, Canada, Muhammad Altaf Arain, McMaster Centre for Climate Change, Hamilton, ON, Canada and Ingo Ensminger, University of Toronto Mississauga, Department of Biology, Mississauga, ON, Canada
Global Covariations between Terrestrial Water Storage and Vegetation Dynamics and their Control Factors (301406)
Mengjie Wang and Yunhao Chen, Beijing Normal University, Faculty of Geographical Science, Beijing, China

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