VEGETATION Narrow- vs. Broad-Band Instruments Wavelength (nm) Reflectance TM Bands.

Slides:



Advertisements
Similar presentations
In the summer of % of Yellowstone National Park was burned by Forest Fires.
Advertisements

Optical Imaging and Field Spectroscopy: CLPX 2002 and 2003 Thomas H. Painter.
Chlorophyll Estimation Using Multi-spectral Reflectance and Height Sensing C. L. JonesResearch Engineer N. O. Maness Professor M. L. Stone Regents’ Professor.
Estimating Anthropogenic Influence in Tropical Forests Using Charcoal Introduction Jessica Del Greco Advisors: Crystal H. McMichael, Earth System Research.
SKYE INSTRUMENTS LTD Llandrindod Wells, United Kingdom.
Liang APEIS Capacity Building Workshop on Integrated Environmental Monitoring of Asia-Pacific Region September 2002, Beijing,, China Atmospheric.
Estimating forest structure in wetlands using multitemporal SAR by Philip A. Townsend Neal Simpson ES 5053 Final Project.
Remote Sensing Hyperspectral Imaging AUTO3160 – Optics Staffan Järn.
Application Of Remote Sensing & GIS for Effective Agricultural Management By Dr Jibanananda Roy Consultant, SkyMap Global.
Remote sensing is up! Inventory & monitoring Inventory – To describe the current status of forest Landcover / landuse classification Forest structure /
Questions How do different methods of calculating LAI compare? Does varying Leaf mass per area (LMA) with height affect LAI estimates? LAI can be calculated.
Mapping Roads and other Urban Materials using Hyperspectral Data Dar Roberts, Meg Gardner, Becky Powell, Phil Dennison, Val Noronha.
Forrest G. Hall 1 Thomas Hilker 1 Compton J. Tucker 1 Nicholas C. Coops 2 T. Andrew Black 2 Caroline J. Nichol 3 Piers J. Sellers 1 1 NASA Goddard Space.
NUE Workshop: Improving NUE using Crop Sensing, Waseca, MN
Remote Sensing Hyperspectral Remote Sensing. 1. Hyperspectral Remote Sensing ► Collects image data in many narrow contiguous spectral bands through the.
Modeling climate change impacts on forest productivity with PnET-CN Emily Peters, Kirk Wythers, Peter Reich NE Landscape Plan Update May 17, 2012.
Characterizing non-pigment canopy biochemistry from imaging spectrometer data for studying ecosystem processes Gregory P. Asner, Mary E. Martin, Scott.
Quantitative Estimates of Biomass and Forest Structure in Coastal Temperate Rainforests Derived from Multi-return Airborne Lidar Marc G. Kramer 1 and Michael.
Estimating wood growth across the Hubbard Brook valley: an analysis linking imaging spectroscopy and ecosystem model PnET Zaixing Zhou, Scott Ollinger,
The Collaborative Environmental Monitoring and Research Initiative (CEMRI) A Pilot in the Delaware River Basin Peter S. Murdoch, USGS Richard Birdsey,
Introduction To describe the dynamics of the global carbon cycle requires an accurate determination of the spatial and temporal distribution of photosynthetic.
1 Exploiting Multisensor Spectral Data to Improve Crop Residue Cover Estimates for Management of Agricultural Water Quality Magda S. Galloza 1, Melba M.
Biomass Mapping The set of field biomass training data and the MODIS observations were used to develop a regression tree model (Random Forest). Biomass.
How Do Forests, Agriculture and Residential Neighborhoods Interact with Climate? Andrew Ouimette, Lucie Lepine, Mary Martin, Scott Ollinger Earth Systems.
Field Measurements of Leaf Mass Area (LMA) in Support of Remote Sensing Studies of a Pacific Northwest Old Growth Forest Canopy Katie Berger (UMASS-Amherst)
Soil-Adjusted Vegetation Index A transformation technique to minimize soil brightness from spectral vegetation indices involving red and near- infrared.
VQ3a: How do changes in climate and atmospheric processes affect the physiology and biogeochemistry of ecosystems? [DS 194, 201] Science Issue: Changes.
__________. Introduction Importance – Wildlife Habitat – Nutrient Cycling – Long-Term Carbon Storage – Key Indicator for Biodiversity Minimum Stocking.
© July 2011 Linear and Nonlinear Imaging Spectrometer Denoising Algorithms Assessed Through Chemistry Estimation David G. Goodenough 1,2, Geoffrey S. Quinn.
1 LBA-Air-ECO Recovery Options Fortaleza November 2003 LBA-Air-ECO? Discuss potential ways to recover the airborne remote sensing science objectives.
Primary Production in Terrestrial Systems Fundamentals of Ecosystem Ecology Class Cary Institute January 2013 Gary Lovett.
Scaling and Evaluation of Ecosystem Carbon Uptake Through Multi-Scale Remote Sensing of Canopy Nitrogen Scott V. Ollinger, Mary.E. Martin, Julian.P. Jenkins,
Background The extent to which terrestrial ecosystems are able to store excess carbon is debated in literature. Soils accumulate two thirds of all carbon.
Investigating the Carbon Cycle in Terrestrial Ecosystems (ICCTE) Scott Ollinger * -PI, Jana Albrecktova †, Bobby Braswell *, Rita Freuder *, Mary Martin.
Downscaling a monthly ecosystem model to a daily time step: Implications and applications Zaixing Zhou, Scott Ollinger, Andrew Ouimette Earth Systems Research.
Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations G.P.Asner and K.B.Heidebrecht.
Mirza Muhammad Waqar HYPERSPECTRAL REMOTE SENSING - SENSORS 1 Contact:
Investigating the Carbon Cycle in Terrestrial Ecosystems (ICCTE) A joint program between: The University of New Hampshire, USA AND Charles University,
How Do Forests, Agriculture and Residential Neighborhoods Interact with Climate? Andrew Ouimette, Lucie Lepine, Mary Martin, Scott Ollinger Earth Systems.
USGS - California Fire Response -Hyperspectral Remote Sensing
MODIS Estimate of Canopy Water Content Susan L. Ustin University of California Davis July 14, 2004.
Hyperspectral remote sensing
Improving fine root sampling methods for landscape-level ecosystem studies using root anatomy and morphology Kirsten Lloyd M.S. Candidate Complex Systems.
Spectral Reflectance Features Related to Foliar Nitrogen in Forests and their Implications for Broad-Scale Nitrogen Mapping Lucie C. Lepine, Scott V. Ollinger,
Hyperspectral Remote Sensing Ruiliang Pu Center for Assessment and Monitoring of Forest and Environmental Resources Department of Environmental Science,
GLOBE Carbon Cycle EET University of New Hampshire GLOBE Carbon Cycle Team: Dr. Mary Martin Research Assistant Professor, Research expertise in forest.
Remote Sensing of Forest Genetic Diversity and Assessment of Below Ground Microbial Communities in Populus tremuloides Forests Mike Madritch - Appalachian.
Evaluation of soil and vegetation salinity in crops lands using reflectance spectroscopy. Study cases : cotton crops and tomato plants Goldshleger Naftaly.
Remote Sensing of Forest Genetic Diversity and Assessment of Below Ground Microbial Communities in Populus tremuloides Forests Mike Madritch - Appalachian.
Validation of ASTER and MODIS surface temperature and vegetation products with surface flux applications Principle Investigators Tom Gower, Univ. of Wisconsin.
Scott Ollinger, Jana Albrechtova, Bobby Braswell, Lara Gengarelly, Mary Martin, Rita Freuder, Sarah Silverberg and Sandra Henderson GLOBE-Carbon: Integrating.
Measuring spectral effects of Ca fertilization in red spruce foliage
PADMA ALEKHYA V V L, SURAJ REDDY R, RAJASHEKAR G & JHA C S
Term Project Presentation
Hyperspectral Sensing – Imaging Spectroscopy
Preparing for the Production of Essential Climate Variables (ECVs) for Biomass from Future Spaceborne Remote Sensing Missions: Is There A Role for CEOS-Carbon?
Contact: Tel.: Exploring the influence of canopy structure on the link between canopy nitrogen concentration.
Third International, AGRONOMY CONGRESS Agriculture Diversification, Climate Change Management and Livelihoods November 26-30, 2012, New Delhi, India Hyperspectral.
Hyperspectral Remote Sensing
Alexander F. H. Goetz University of Colorado and
Hyperspectral remote sensing ('Image spectroscopy')
By: Paul A. Pellissier, Scott V. Ollinger, Lucie C. Lepine
Assessing woody carbon stocks in Miombo woodlands of Mozambique (see map for location). We used multiscale sampling of vegetation cover (leaf area index)
Zaixing Zhou, Scott V. Ollinger, Lucie Lepine
A Comparison of Forest Biodiversity Metrics Using Field Measurements and Aircraft Remote Sensing Kaitlyn Baillargeon Scott Ollinger,
Sources of Variability in Canopy Spectra and the Convergent Properties of Plants Funding From: S.V. Ollinger, L. Lepine, H. Wicklein, F. Sullivan, M. Day.
Lucie C. Lepine, Scott V. Ollinger, Mary E. Martin
Funding From: Sources of Variability in Canopy Reflectance and the Convergent Properties of Plants: Integrating Remote Sensing and Ecological Theory toward.
Evaluating the Ability to Derive Estimates of Biodiversity from Remote Sensing Kaitlyn Baillargeon Scott Ollinger, Andrew Ouimette,
Hyperspectral Remote Sensing
Presentation transcript:

VEGETATION Narrow- vs. Broad-Band Instruments Wavelength (nm) Reflectance TM Bands

AVIRIS Canopy % N Prediction Single scene calibration Multiple scene calibration (36) Reflectance data calibrated using PLS regression to measured foliar N (R 2 = 0.84). Whole Canopy Nitrogen Concentration Smith, M.L., Ollinger, S.V., Martin, M.E., Aber, J.D., Hallett, R.A., and Goodale, C.L Direct estimation of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen. Ecological Applications Smith, M. L.; Martin, M. E.; Plourde, L., and Ollinger, S. V. Analysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: comparison between and airborne (AVIRIS) and a spaceborne (Hyperion) sensor. IEEE Transactions on Geoscience and Remote Sensing. 2003; 41(6):

Aboveground Woody Biomass Production < > 500 g m -2 yr -1 AVIRIS - Predicted Forest Productivity HB CP Smith, M.L., Ollinger, S.V., Martin, M.E., Aber, J.D., Hallett, R.A., and Goodale, C.L Direct estimation of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen. Ecological Applications N

N AVIRIS - Predicted Soil C:N Ratio Measured Soil C:N Predicted Soil C:N 1:1 line Nitrification Threshold Ollinger, S.V., Smith, M.L., Martin, M.E., Hallett, R.A., Goodale, C.L., and Aber, J.D Regional Variation in Foliar Chemistry and N Cycling Among Forests of Diverse History and Composition. Ecology Ollinger, S. V.; Smith, M. L.; Martin, M. E.; Hallett, R. A.; Goodale, C. L., and Aber, J. D. Regional Variation in Foliar Chemistry and N Cycling Among Forests of Diverse History and Composition. Ecology Feb; 83(2): < > 32

Smith, ML, Martin, ME, Plourde, LC, and Ollinger, SV Analysis of Hyperspectral Data for Estimation of Temperate Forest Canopy Nitrogen Concentration, Comparison Between AVIRIS and Hyperion. IEEE Transactions on Geosci and Rem Sens 41: Both AVIRIS and Hyperion data collected for the Bartlett Experimental Forest are used to estimate canopy N for 44 sampled field plots Low High