Near surface spectral measurements of the land surface Heidi Steltzer Plant and Ecosystem Ecologist Natural Resource Ecology.

Slides:



Advertisements
Similar presentations
Lab for Remote Sensing Hydrology and Spatial Modeling Dept. of Bioenvironmental Systems Engineering, NTU Satellite Remote Sensing for Land-Use/Land-Cover.
Advertisements

U.S. Department of the Interior U.S. Geological Survey USGS/EROS Data Center Global Land Cover Project – Experiences and Research Interests GLC2000-JRC.
Scaling Biomass Measurements for Examining MODIS Derived Vegetation Products Matthew C. Reeves and Maosheng Zhao Numerical Terradynamic Simulation Group.
Reducing Canada's vulnerability to climate change - ESS Variation of land surface albedo and its simulation Shusen Wang Andrew Davidson Canada Centre for.
Active Remote Sensing Systems March 2, 2005 Spectral Characteristics of Vegetation Temporal Characteristics of Agricultural Crops Vegetation Indices Biodiversity.
원격 지질학 발표수업 - vegetation 강예랑 김은진 박수진 신선용 이보미 지성인.
BIOL 585 – Fall Schedule: Week 1: Figure set activity (LAB) Week 2: Field sampling at Prophetstown State Park (FIELD) Week 3: Data analysis & interpretation.
Land Biomes.
Estimating forest structure in wetlands using multitemporal SAR by Philip A. Townsend Neal Simpson ES 5053 Final Project.
 Floods and droughts are the most important hydrological disturbances in intermittent streams.  The concept of hydrological disturbance is strongly.
Remote Sensing vs. Individual-Based Ecology. Goals of the Talk (Paper) Order my thoughts. Order my thoughts. Assemble/summarize/link some relevant 1°
Remote Sensing of Urban Landscapes and contributions of remote sensing to the Social Sciences.
Life: levels of organization – organism (individuals): any form of life – population: a group of interacting individuals of same species – community: populations.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
DIFFERENCES IN SOIL RESPIRATION RATES BASED ON VEGETATION TYPE Maggie Vest Winter Ecology 2013 Mountain Research Station.
Use of Multispectral Imagery for Variable Rate “Application-zone” Identification in Cotton Production Tim Sharp Beltwide Cotton Conference January 6-10,
An Object-oriented Classification Approach for Analyzing and Characterizing Urban Landscape at the Parcel Level Weiqi Zhou, Austin Troy& Morgan Grove University.
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
MODIS Subsetting and Visualization Tool: Bringing time-series satellite-based land data to the field scientist National Aeronautics and Space Administration.
Real-time integration of remote sensing, surface meteorology, and ecological models.
Scale Effect of Vegetation Index Based Thermal Sharpening: A Simulation Study Based on ASTER Data X.H. Chen a, Y. Yamaguchi a, J. Chen b, Y.S. Shi a a.
Development of indicators of fire severity based on time series of SPOT VGT data Stefaan Lhermitte, Jan van Aardt, Pol Coppin Department Biosystems Modeling,
Slide #1 Emerging Remote Sensing Data, Systems, and Tools to Support PEM Applications for Resource Management Olaf Niemann Department of Geography University.
Collaborative Research: Study of Arctic ecosystem changes in the IPY using the International Tundra Experiment (ITEX) Steve Oberbauer, Robert Hollister*,
Vegetation Shift in the Pan-Arctic Tilmann Silber & Daniel Angst Topics in Ecosystem Ecology FS2009.
Translation to the New TCO Panel Beverly Law Prof. Global Change Forest Science Science Chair, AmeriFlux Network Oregon State University.
1 Enviromatics Environmental sampling Environmental sampling Вонр. проф. д-р Александар Маркоски Технички факултет – Битола 2008 год.
PREFER 1 st Annual Review Meeting, 5-6 Dec 2013, Milano-Italy PREFER WP 3.2, Task 7.
Canada Centre for Remote Sensing Field measurements and remote sensing-derived maps of vegetation around two arctic communities in Nunavut F. Zhou, W.
Remote Sensing of Vegetation. Vegetation and Photosynthesis About 70% of the Earth’s land surface is covered by vegetation with perennial or seasonal.
Indirect effects of invasive species removal devastate World Heritage Islands Bergstrom et al., 2009, Journal of Applied Ecology.
Satellite Imagery and Remote Sensing DeeDee Whitaker SW Guilford High EES & Chemistry
7/24/02 MODIS Science Meeting Seasonal Variability Studies Across the Amazon Basin with MODIS Vegetation Indices Alfredo Huete 1, Kamel Didan 1, Piyachat.
Recent increases in the growing season length at high northern latitudes Nicole Smith-Downey* James T. Randerson Harvard University UC Irvine Sassan S.
Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations G.P.Asner and K.B.Heidebrecht.
Key information from FDOS Global distribution of plant communities as described by quantitative traits [and their association with phylogenetic composition??]
BIOMES A look at how they are each a unique system on Earth.
14 ARM Science Team Meeting, Albuquerque, NM, March 21-26, 2004 Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada Natural.
Response of Luzula arctica and Luzula confusa to warming in Barrow and Atqasuk, Alaska Kelseyann Kremers and Dr. Robert D. Hollister Grand Valley State.
WP3 WP6 USE CASE DATA MODEL FUSION USING PHENOLOGICAL DATA TO INFORM PRODUCTIVITY MODEL Andy Fox, David Moore, Jesus Marco de Lucas, Jeff Taylor, and many.
Systematic Terrestrial Observations: a Case for Carbon René Gommes with C. He, J. Hielkema, P. Reichert and J. Tschirley FAO/SDRN.
Northern Michigan Forest Productivity Across a Complex Landscape David S. Ellsworth and Kathleen M. Bergen.
Philippe CHOLER Plant Ecologist University of Grenoble. FRANCE Marie-Curie Fellows (from 15/01/ to 15/01/2010) including two years as a Visiting.
Using Lidar to Identify and Measure Forest Gaps on the William B. Bankhead National Forest, Alabama Jeffrey Stephens 1, Dr. Luben Dimov 1, Dr. Wubishet.
Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:
INTRODUCTION TO REMOTE SENSING. Remote sensing is the science and art of obtaining information about an object, area, or phenomenon through the analysis.
State of Engineering in Precision Agriculture, Boundaries and Limits for Agronomy.
Integrating past, present, and projected future biological and environmental data to facilitate innovative global change biology research.
Observing Laramie Basin Grassland Phenology Using MODIS Josh Reynolds with PROPOSED RESEARCH PROJECT Acknowledgments Steven Prager, Dept. of Geography.
Study of Arctic ecosystem changes in the IPY using the International Tundra Experiment (ITEX). Steve Oberbauer, Robert Hollister, Jeff Welker, Julia Klein,
Object-oriented Land Cover Classification in an Urbanizing Watershed Erik Nordman, Lindi Quackenbush, and Lee Herrington SUNY College of Environmental.
Mark Friedl 1, Xiaoyang Zhang 2 1 Department of Geography and Environment, Boston University 2 ERT at NOAA/NESDIS/STAR NASA MEASURES #NNX08AT05A Science.
Biomes A community of living organisms of a single ecological region (ecosystem). It is determined by climate and rainfall. Vegetation (plants) adapts.
Modeling biodiversity response to habitat heterogeneity in agricultural lands of Eastern Ontario using multi spatial and temporal remote sensing data Supervisor:
Lecture Notes – Vegetation indices Fred Watson, ENVS 436/536, CSUMB, Fall 2010 Many of these slides are from Jianglong Zhang and Cindy Schmidt.
Interactions of EMR with the Earth’s Surface
Weekly NDVI Relationships to Height, Nodes and Productivity Index for Low, Medium, and High Cotton Productivity Zones T. Sharp, G. Evans and A. Salvador.
The Hills are Alive: Building an Interdisciplinary Earth Science Research Facility at Biosphere 2 INQUIRY B2 Institute To Tackle Scientific Grand Challenges.
Production.
The National Ecological Observatory Network is a project sponsored by the National Science Foundation and managed under cooperative agreement by NEON,
Assessing Annual Forest Ecological Change in Western Canada Using Temporal Mixture Analysis of Regional Scale AVHRR Imagery Over a 14 Year Period Joseph.
Ecology The study of the interactions between organisms and the living and nonliving components of their environment. An Ecologist is a scientist who.
Temporal Classification and Change Detection
Environmental Science
Term Project Presentation
CARBON, WATER, LAND USE & CLIMATE
HIERARCHICAL CLASSIFICATION OF DIFFERENT CROPS USING
Applied Geospatial Science Masters Student + STEM Educator
Mon. Tues. Wed. Thurs. Fri. Week of Sept. 8
Climate and Terrestrial Biodiversity
Presentation transcript:

Near surface spectral measurements of the land surface Heidi Steltzer Plant and Ecosystem Ecologist Natural Resource Ecology Laboratory (NREL)

SpecNet – a spectral network

Advantages of near surface spectral measurements Scaling –Spatial fine resolution imagery pure pixels –Temporal frequent observations

Spatial variability in plant cover Complex or brief growing season Short grass steppe Patterned ground in the Arctic

Multi-spectral digital camera to structure sampling NDVI is the Normalized Difference Vegetation Index Images are 20 cm x 20 cm plots in a polar desert ecosystem

New tool: non-destructive measurements of the leaf area index Steltzer and Welker (2006) Ecology

Experimental manipulations of climate and other global changes Alpine tundra Polar desert

Plant cover as a continuous variable

Phenological variation NDVI vs day of year Lines are different years, data was collected using a near surface multi-band radiation sensor Data from Barrow, AK; Huemmrich et al

Environmental sensor networks An LED pyranometer for $20 Can be converted to measure NDVI or other vegetation indexes

Needs Variables of interest –Vegetation and soils –Microbial communities, biological diversity –Direct and indirect assessment models Instrumentation –Sensors –Platforms –Sensor networks Data –Automated analysis of imagery –Bioinformatics/data management

Acknowledgements National Science Foundation –Office of Polar Programs Tetracam Inc. Joe DeCant Jeff Welker Rich Conant Fred Hummerich and other Specnetters Seth Munson NREL