Center for Ecosystem Measurement, Monitoring and Modeling

Web Name: Center for Ecosystem Measurement, Monitoring and Modeling

WebSite: http://camfer.cnr.berkeley.edu

ID:219827

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Center for Ecosystem Measurement, Monitoring and Modeling

Updates on EM3:

Center for Ecosystem Measurement, Monitoring and Modeling

University of California, Berkeley

137 Mulford Hall
Mail Stop # 3114
Berkeley, CA
94720-3114

(510) 642-3725

EM3: The Center for Ecosystem Measurement, Monitoring and Modeling

The Center for Ecosystem Measurement, Monitoring and Modeling (EM3) is a collaboration of principle investigators, post-docs and graduate students at the University of California, Berkeley. The mission of EM3 is to understand the dynamics of society, nature and the environment by quantifying and predicting temporal and spatial trends. Research is conducted in three primary areas: effects of climate change on ecosystem, effects of society on ecosystem and ecosystem value.

Projects span a variety of research topics, including habitat suitability, resource planning, agriculture, carbon flux, forest valuation and land use change. EM3 uses remote sensing, like satellite imagery and aerial photography, to efficiently and effectively achieve research objectives. Additionally, EM3 employs state-of-the-art computer technology to extract maximum information for measurement and modeling of ecosystem functions.

Please contact us for more information about existing projects or possible new partnerships.

EM3 Partnerships (Opens in a New Window)

Many organizations have partnered with EM3 to support ecosystem measurement, monitoring and modeling. Partnerships originate from specific research projects, investigations, collaborations and philanthropy. Please contact us if you are interested in forming a partnership with EM3 in an of these respects. Our partners include:

California Air Resources Board
California Department of Water Resources
National Air and Space Administration
Google
NVIDIA
National Institutes of Health
National Park Service
National Sciences and Engineering Research Council
National Science Foundation
Berkeley Image Seg
United States Department of Agriculture
Forest Service
United States Geological Survey
The University of Michigan
United States Postal Service
Yellowstone Ecological Research Center
The Mickey Leland National Urban Air Toxics Research Center
East Bay Regional Parks
International Crane Foundation
The Nature Conservancy

Selected Papers (Opens in a New Window)

Whenever possible, EM3 shares its knowledge on theoretical and applied topics through publication in scholarly journals. EM3 regularly publishes in several journals, including the International Journal of Remote Sensing, Journal of Ecology, Journal of Forestry, Photogrammetric Engineering and Remote Sensing and Remote Sensing of the Environment. A minor selection of articles are available via this Web site:

A Comparison of Distance-Dependent Competition Measures for Height and Basal Area Growth of Individual Conifer Trees

Evaluation of Competition Indices in Individual Tree Growth Models

Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama

Modeling conifer tree crown radius and estimating canopy cover

3D Model-Based Tree Measurement from High-Resolution Aerial Imagery

Relevance and Redundacy in Fuzzy Classification Systems

Extraction of Red Edge Optical Parameters From Hyperion Data for Estimation of Forest Leaf Area Index

Individual tree-crown delineation and treetop detection in high-spatial-resolution aerial imagery

Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery

Effects of wind velocity and slope on flame properties

A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data

Site Map

About EM3

Some information about EM3.

People

Peng Gong
Greg Biging
Kyle Holland
Ashley Holt
Iryna Dronova
Yanlei Chen
Yu-Ting Huang
Liheng Zhong
Josh Harmsen
Jun Hak Lee
Luis Maria Ibanez de Garayo
John Dingman

The professors, post-docs and graduate students of EM3.

Projects

No projects are currently available
No projects are currently available
No projects are currently available
No projects are currently available
No projects are currently available
No projects are currently available
No projects are currently available
No projects are currently available
No projects are currently available

A selection of current and past research projects being conducted at EM3.

Partners

California Air Resources Board
California Department of Water Resources
National Air and Space Administration
Google
NVIDIA
National Institutes of Health
National Park Service
National Sciences and Engineering Research Council
National Science Foundation
Berkeley Image Seg
United States Department of Agriculture
Forest Service
United States Geological Survey
The University of Michigan
United States Postal Service
Yellowstone Ecological Research Center
The Mickey Leland National Urban Air Toxics Research Center
East Bay Regional Parks
International Crane Foundation
The Nature Conservancy

The organizations that have partnered with EM3 (links open new in windows).

Papers

A Comparison of Distance-Dependent Competition Measures for Height and Basal Area Growth of Individual Conifer Trees

Evaluation of Competition Indices in Individual Tree Growth Models

Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama

Modeling conifer tree crown radius and estimating canopy cover

3D Model-Based Tree Measurement from High-Resolution Aerial Imagery

Relevance and Redundacy in Fuzzy Classification Systems

Extraction of Red Edge Optical Parameters From Hyperion Data for Estimation of Forest Leaf Area Index

Individual tree-crown delineation and treetop detection in high-spatial-resolution aerial imagery

Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery

Effects of wind velocity and slope on flame properties

A comparison of spatial feature extraction algorithms for land-use classification with SPOT HRV data

A sample of papers published by EM3 (links open new in windows).

Updates

Updates on what EM3 is doing.

Terms of use

The terms of using the EM3 web site.

Disclaimer

Welcome to The Center for Ecosystem Measurement, Monitoring and Modeling web site. The information available through this web site is provided as a public service and for educational purposes only. Resources provided are not meant to be exhaustive. The Center for Ecosystem Measurement, Monitoring and Modeling (EM3) cannot be held responsible for any circumstances resulting from its use, unavailability, or possible inaccuracy. References or links to any specific commercial product, process, service, manufacturer, company, organization or web site do not constitute endorsement or recommendation by EM3, and the points of view or opinions expressed by listed organizations or web sites do not necessarily represent the official position, policies, or views of EM3.

University of California, Berkeley

The documents created by EM3 and located on this web site may be reproduced and distributed for non-commercial use only, excepting published work, unless otherwise indicated. Copies must retain this copyright and all proprietary notices contained herein. Adaptations must acknowledge the source. This copyright does not apply to documents on this site created by other entities. Such documents may be subject to other copyright restrictions; in such case it is the responsibility of the user to obtain any required permission for use. For more information, please contact the Center by phone at (510) 642-3725.

Peng Gong

Research Interests: Remote sensing, spatial-temporal modeling, environment and health, global environmental change.

BS (1984) and MS (1986) from Nanjing University, China; PhD (1990) from University of Waterloo, Canada. Have worked at York University and taught at University of Calgary. Joined Berkeley since 1994. In the 1990s, he developed urban land use classification algorithms in the 1990s and remote sensing measurement techniques for forest inventory purposes and proposed the field of photo-ecometrics. In 2000s, he developed invasive weed mapping techniques. Since 1995, he has been working on the spatial-temporal modeling of schistosomiasis transmission in western China and that interest has been expanded into malaria, avian influenza and plague in recent years.

www.cnr.berkeley.edu/~gong/

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