PIs: Giorgos Mountrakis, Colin Beier, Bill Porter +, Benjamin Zuckerberg^, Lianjun Zhang, Bryan Blair* USING LIDAR TO ASSESS THE ROLES OF CLIMATE AND LAND-COVER.

Slides:

Advertisements

Similar presentations

An introduction to climate change vulnerability assessments Stuart Butchart, BirdLife International

Advertisements

LEPIDOPTERA LARVAE AS AN INDICATOR OF MULTI-TROPHIC LEVEL RESPONSES TO CHANGING SEASONALITY IN THE ARCTIC K. M. Daly, 1 H. Steltzer, 1 L. Gough, 2 M. Rich,

Global rangelands and their role in food security Temuulen “Teki” Sankey Northern Arizona University Flagstaff, AZ.

Time Series Fusion of Optical and Radar Imagery for Improved Monitoring of Activity Data, and Uncertainty Analysis of Emission Factors for Estimation of.

Ronald M. Welch (PI) Vani Starry Manoharan University of Alabama in Huntsville Environmental Stability of Forest Corridors in the Mesoamerican Biological.

Western Region GIS Update: National Suitability Modeling of Biofuel Feedstocks Chris Daly, Mike Halbleib David Hannaway Sun Grant Western Region GIS Center.

HONORS BIOLOGY MRS. STEWART CENTRAL MAGNET SCHOOL Keystone and Non-Native Species.

Estimating forest structure in wetlands using multitemporal SAR by Philip A. Townsend Neal Simpson ES 5053 Final Project.

MODIS Science Team Meeting - 18 – 20 May Routine Mapping of Land-surface Carbon, Water and Energy Fluxes at Field to Regional Scales by Fusing Multi-scale.

Green Vegetation Fraction (GVF) derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the SNPP satellite Zhangyan Jiang 1,2,

Menglin Jin Department of Atmospheric & Oceanic Science University of Maryland, College park Observed Land Impacts on Clouds, Water Vapor, and Rainfall.

TEMPLATE DESIGN © PRELIMNARY RESULTS INTRODUCTION Tropical forests, although covering less than 10% of the land worldwide,

John Lowry RS/GIS Laboratory College of Natural Resources Utah State University Resource Management Tools & Geospatial Conference, Phoenix, AZ April 18-22,

JIBRAN KHAN 1* &TAHREEM OMAR 2 JIBRAN KHAN&TAHREEM OMAR IMPACTS OF URBANIZATION ON LAND SURFACE TEMPERATURE OF KARACHI.

Published in Remote Sensing of the Environment in May 2008.

Integrating Global Species Distributions, Remote Sensing and Climate Station Data to Assess Biodiversity Response to Climate Change Adam Wilson & Walter.

Compton Tucker, GSFC Sassan Satchi, JPL Jeff Masek, GSFC Rama Nemani, ARC Diane Wickland, HQ Terrestrial Biomass Pilot Product: Estimating Biomass and.

Land Use/Land Cover Assessment of Dane County, Wisconsin: Contemporary Trend and Future Projections By Eric Fabian.

Dual Polarised Entropy/alpha Decomposition and Coherence Optimisation for Improved Forest Height Mapping Z-S Zhou, P. Caccetta, E. Lehmann, A. Held – CSIRO,

Update of the National Biomass and Carbon Dataset 2000 using ALOS PALSAR L-band data Josef Kellndorfer, Wayne Walker, Oliver Cartus The Woods Hole Research.

Statistical averaging

USDA Forest Service Remote Sensing Applications Center Forest Inventory and Analysis New Technology How is FIA integrating new technological developments.

Climate Change Impacts & Resource Management Stephen T. Gray Water Resources Data System WY State Climate Office University of Wyoming.

Summary of Breakout Session 1.2 GEO Societal Benefit Areas (Chair: Antonio Bombelli) Coordinator of the GEO Task CL-02 “Global Carbon Observations and.

Land Use and Climate Change Stephanie J Houser Earth Climate Systems

Synergistic Analyses of Data from Active and Passive Sensors to Assess Relationships between Spatial Heterogeneity of Tropical Forest Structure and Biodiversity.

Modeling the effects of climate change on multiple ecosystem services Marc Conte Stanford University Natural Capital Project Marc Conte, Josh Lawler, Erik.

Biodiversity Potential in the Pacific and Inland Northwest: Phase II – Applications to Industry Planning Areas Since the workshop on Boise: Now 16 months.

Mapping Forest Canopy Height with MISR We previously demonstrated a capability to obtain physically meaningful canopy structural parameters using data.

Land Processes Group, NASA Marshall Space Flight Center, Huntsville, AL Response of Atmospheric Model Predictions at Different Grid Resolutions Maudood.

Estimate Pollination Potential with ESTIMAP

Lu Liang, Peng Gong Department of Environmental Science, Policy and Management, University of California, Berkeley And Center for Earth System Science,

Comments on Discussion paper “Detecting, understanding, and attributing climate change” David Karoly School of Meteorology University of Oklahoma.

ASSESSMENT OF ALBEDO CHANGES AND THEIR DRIVING FACTORS OVER THE QINGHAI-TIBETAN PLATEAU B. Zhang, L. Lei, Hao Zhang, L. Zhang and Z. Zen WE4.T Geology.

Using Land Use Change Models to Assess Biophysical and Biogeochemical Consequences: The Future is Not Like the Past R. DeFries, [ Department.

A Comparison of the Northern American Regional Reanalysis (NARR) to an Ensemble of Analyses Including CFSR Wesley Ebisuzaki 1, Fedor Mesinger 2, Li Zhang.

Multi-Scale Modeling of Bird Diversity using Canopy Structure Metrics of Habitat Heterogeneity Scott Goetz Mindy Sun (WHRC) Ralph Dubayah Anu Swatatran.

The impacts of land mosaics and human activity on ecosystem productivity Jeanette Eckert.

Analysis of Forest Fire Disturbance in the Western US Using Landsat Time Series Images: Haley Wicklein Advisors: Jim Collatz and Jeff Masek,

U.S. Department of the Interior U.S. Geological Survey Using Advanced Satellite Products to Better Understand I&M Data within the Context of the Larger.

Effects of Fire, Extreme Weather, and Anthropogenic Disturbance On Avian Biodiversity in the U.S. NASA Biodiversity Science Team Meeting, Washington DC.

New Uses and Approaches for Land Data Products Jeffrey Masek, Biospheric Sciences NASA Goddard Space Flight Center.

Transitions in Rangeland Evaluations David A. Pyke & Jeffrey E. Herrick Jornada Experimental Range Forest and Rangeland Ecosystem Science Center.

Evaluation of climate models, Attribution of climate change IPCC Chpts 7,8 and 12. John F B Mitchell Hadley Centre How well do models simulate present.

Past and Future Changes in Southern Hemisphere Tropospheric Circulation and the Impact of Stratospheric Chemistry-Climate Coupling Collaborators: Steven.

Welcome Grant from National Science Foundation: Fire, Atmospheric pCO 2, and Climate as Alternative Primary Controls of C 4 -Grass Abundance: The Late-Quaternary.

Mao-Ning Tuanmu1, Andrés Viña1, Scott Bearer2,

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 The Influences of Changes.

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.

Remote sensing and avian biodiversity patterns in the U.S. NASA Biodiversity Science Team Meeting, New York, May Anna M. Pidgeon, V. Radeloff,

Predicting Current and Future Tree Diversity in the Pacific Northwest I R S S Richard Waring 1 Nicholas Coops 2 1 Oregon State University 2 University.

Continental Scale Modeling of Bird Diversity using Canopy Structure Metrics of Habitat Heterogeneity Scott Goetz Mindy Sun (WHRC) Ralph Dubayah Anu Swatatran.

Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:

Geoffrey M. Henebry Jordan D. Muss Eric Ariel L. Salas Geographic Information Science Center of Excellence South Dakota State University and Naikoa Aguilar-Amuchastegui.

An Examination of the Relation between Burn Severity and Forest Height Change in the Taylor Complex Fire using LIDAR data from ICESat/GLAS Andrew Maher.

Mapping Greenland Using NASA’s Full- Waveform, Medium/High-Altitude, LVIS Lidar System: Potential 2009 Coverage and Expected Performance Michelle Hofton.

Effects of fire, extreme weather, and anthropogenic disturbance on avian biodiversity in the United States Anna M. Pidgeon1, Chad Rittenhouse1, Thomas.

Remote Sensing and Avian Biodiversity Patterns in the United States Volker C. Radeloff 1, Anna M. Pidgeon 1, Curtis H. Flather 2, Patrick Culbert 1, Veronique.

Breakout III Summary Biodiversity and Habitats Marc Imhoff and Ross Nelson - Co-Chairs (Kathleen Bergen and Scott Goetz - Co-Chairs of Breakout I)

Citation: Moskal, L. M., D. M. Styers, J. Richardson and M. Halabisky, Seattle Hyperspatial Land use/land cover (LULC) from LiDAR and Near Infrared.

Downscaling Global Climate Model Forecasts by Using Neural Networks Mark Bailey, Becca Latto, Dr. Nabin Malakar, Dr. Barry Gross, Pedro Placido The City.

Enabling Ecological Forecasting by integrating surface, satellite, and climate data with ecosystem models Ramakrishna Nemani Petr Votava Andy Michaelis.

Global Challenges – Biodiversity Felix Eigenbrod, Biological Sciences

Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.

Temporal Classification and Change Detection

PADMA ALEKHYA V V L, SURAJ REDDY R, RAJASHEKAR G & JHA C S

Semi-arid Ecosystem Plant Functional Type and LAI from Small Footprint Waveform Lidar Nayani Ilangakoon, Nancy F. Glenn, Lucas.

Species distribution modeling ideas

Models of emissions from savannas

Christina Konnaris (Jake Brenner)

Presentation transcript:

PIs: Giorgos Mountrakis, Colin Beier, Bill Porter +, Benjamin Zuckerberg^, Lianjun Zhang, Bryan Blair* USING LIDAR TO ASSESS THE ROLES OF CLIMATE AND LAND-COVER DYNAMICS AS DRIVERS OF CHANGES IN BIODIVERSITY SUNY College of Environmental Science & Forestry + Michigan State University ^University of Wisconsin *NASA Goddard Space Flight Center PhDs: Huiran Jin, Wei Zhuang, John Wiley, Marta Jarzyna

Introduction

Research Questions: 1.Does the addition of waveform LiDAR data improve the ability of multispectral image processing to classify habitat types? 2.Can a model of successional dynamics coupled with LiDAR-derived vegetation structure information help predict past and future habitat trends? 3.To what degree do climate changes and habitat trends affect breeding bird range shifts, and can we effective model future bird dynamics?

Study Area: Central New York

Treetop Height VS. Gaussian Decomposition Treetop Height VS. RH100 values Existing methodProposed method Results: LiDAR Improved treetop height estimation

Existing methods Adjusted R 2 = Proposed method: Adjusted R 2 = If you have Biomass Data over LVIS signals please contact us: Giorgos Mountrakis - Results: LiDAR improved biomass estimation

Multi-temporal Landsat offers significant benefits in OVERALL classification accuracy Results: Integration of Landsat, PALSAR, and LVIS

Results: Succession modeling

Recent trends in NY and US Northeast mapped at 4km resolution ( ) Based on PRISM (Daly et al. 2002) and NRCC (DeGaetano & Belcher 2007) Theil-Sen and linear estimations Seasonal and spatial variability in recent temperature changes Tmin warming at greater rate and more seasonally consistent Tmax trends variable by month Trend maps are heterogeneous, with patches of warming, stability and cooling Results: Climate change mapping

Beier et al Landscape Ecol.

Species Richness in 1980 – Preliminary Results Results: Breeding bird biodiversity

12% increase in number of blocks w/ >76 species: 34% in % in 2000 Species Richness in 2000 – Preliminary Results Results: Breeding bird biodiversity

λsλs λsλs λsλs Communities w/ increasing number of species: 43% Communities w/ decreasing number of species: 34% Communities w/ constant number of species: 23% Results: Breeding bird biodiversity Community Dynamics 1980 – 2000 – Preliminary Results

Communities stationary: >99% Communities not stationary: <1% Community Dynamics 1980 – 2000 – Preliminary Results Results: Breeding bird biodiversity

Summary Land cover classifier -> shrubs Climate trends (Beier et al. 2012) LiDAR calibration -> automate Successional model Drivers of breeding bird shifts

Questions?