'Remote sensing data ' diaporamas de présentation

Diane E. Wickland Earth Science Division NASA HQ

Carbon Cycle & Ecosystems Focus Area. Diane E. Wickland Earth Science Division NASA HQ. October 3, 2011. Outline. About the Carbon Cycle & Ecosystems (CC&E) Focus Area Science Questions Program Elements, Goals, Funding Collaborations, Interfaces & Partnerships

750 views • 43 slides

Monitoring Deforestation in Amazonia

635 views • 35 slides

17 th Anniversary

CSF Intern Programme : H onorary Interns Sandra L. Arlinghaus , Programme Director Paid Interns Kris S. Oswalt , Programme Director. 17 th Anniversary. Mission: Honorary Interns.

488 views • 34 slides

NR 143 Study Overview: part 2 By Austin Troy University of Vermont

------Using GIS--. Introduction to GIS. NR 143 Study Overview: part 2 By Austin Troy University of Vermont. Introduction to GIS. Map Projections. What is the shape of the earth? What is a spheroid?

475 views • 33 slides

832 views • 33 slides

Model Data Interoperability for the Integrated Ocean Observing System (IOOS)

478 views • 33 slides

A Spatial-Temporal Contextual Kernel Method for Generating High-Quality Land-Cover Time Series

Department of Geography The Ohio State University. Email: wehmann.2@osu.edu. A Spatial-Temporal Contextual Kernel Method for Generating High-Quality Land-Cover Time Series. Adam Wehmann Thesis Defense Presentation 23 April 2014. Outline. Introduction Background Methods Results

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User Consultation Meeting Ballast Water Risk

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Sponsor & partners Goals and objectives Who are our target audiences? What is NEO? Defining the NEO scope and develo

Sponsor & partners Goals and objectives Who are our target audiences? What is NEO? Defining the NEO scope and development phases Current developmental status Outstanding issues and questions. Presentation Overview:. A Collaborative Effort.

444 views • 23 slides

Data-Model Assimilation: Collaboration, Integration, & Transformation

Data-Model Assimilation: Collaboration, Integration, & Transformation. GLOBAL CARBON CYCLE. ATMOSPHERIC COMPOSITION. Ecological Forecasting: a Grand Challenge. LAND-USE & LAND-COVER CHANGE. ECOSYSTEMS. GLOBAL WATER CYCLE. HUMAN CONTRIBUTIONS & RESPONSES/DECISION SUPPORT.

338 views • 21 slides

World Heritage and Biosphere Reserves: observation platforms for societal benefits of ecosystems

World Heritage and Biosphere Reserves: observation platforms for societal benefits of ecosystems. Natarajan Ishwaran International Centre on Space Technologies for Natural and Cultural Heritage (HIST), CEODE, China ISRSE35 Side Meeting GEO Ecosystems SBA Work Meeting

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Leveraging Remote Sensing Observations for Regional Climate Change Research

Leveraging Remote Sensing Observations for Regional Climate Change Research. Andrew F. Hart, Cameron E. Goodale , Chris A. Mattmann , Peter Lean, Jinwon Kim, Paul Zimdars , Duane E. Waliser , Daniel J. Crichton. Userlab 2 , 04.12.2012. Daka Senegal. Rationale .

251 views • 15 slides

UNFCCC Workshop on Reducing Emissions from Deforestation in Developing Countries 30/08-01/9/2006, Rome, Italy

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IFSAR and terrestrial LIDAR for vegetation study in Sonora, Texas

IFSAR and terrestrial LIDAR for vegetation study in Sonora, Texas. Created for GIS in Water Resources 2013 by Kendall Ernst. Agenda. Background Method and Results Future Work Acknowledgments Questions. Background.

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Land use data set

Land use data set. Classification of all model cells to reflect water-use characteristics. Background. Need amount and location of irrigated acres over time, including indication of crop mix; dryland and rangeland also

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Breakout Session IV: Applying Remote Sensing Observations to Impacts Assessment

Breakout Session IV: Applying Remote Sensing Observations to Impacts Assessment. IPCC WG 2 Report (2008) Climate Change Impacts, Adaptation and Vulnerability Characterizes current knowledge, perspectives, and future needs.

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Upper Niger River Basin

284 views • 3 slides

National Institute of Food and Agriculture/USDA

(a). (a). Ongoing CEESMO Projects I. Calderon 1,2,* and M. Kafatos 1,2

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Giovanni: F orwards user visualization requests to VisKo

Towards Infusing Giovanni with a Semantic and Provenance Aware Visualization System. Data Processing Provenance. Giovanni. Abstract. Method. Results.

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Satellite and in-situ aircraft measurements and model simulations of midlevel mixed-phase clouds

CloudSat. 1825 UTC on 05 Nov 2006 Aqua MODIS: Cloud top temperature CloudSat CPR cloud classification. 05 November 2006. 25 February 2007. MODIS Cloud Phase. MODIS Cloud Phase.

200 views • 1 slides