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Title: | Professor
of Forest Biometrics Codirector, Office for Remote Sensing of Earth Resources |
| Phone: | 814-863-0002 | |
| Email: | wlm@psu.edu | |
| Address: | The
Pennsylvania State University School of Forest Resources 116 Forest Resources Building University Park, PA 16802 |
- Education:
- B.S., University of Michigan (1964)
- M.F., University of Michigan (1965)
- Ph.D., University of Michigan (1967)
- Academic Interests:
- Forest biometrics, remote sensing, quantitative landscape ecology, spatial analysis, geographic information systems,multivariate statistics, artificial intelligence, natural resource sustainability, international forestry.
- Affiliated Programs:
- Environmental Resources Research Institute;
- Graduate faculty, Intercollege Graduate Degree Program in Ecology.
- Courses Taught:
- Forest Biometrics, Remote Sensing and Spatial Data Handling, Forest Fire Management, Natural Resource GIS, International Forestry, Artificial Intelligence and Expert Systems, Multispectral Remote Sensing, Multivariate Analysis for Forest Resources.
- Professional Affiliation:
- Faculty Associate, Center for Statistical Ecology and Environmental Statistics;
- Forest Research Institute Malaysia Fellowship (1993);
- Advisor, Joint Career Corps Technology, USAID India (1988-89).
- Recent Research/Educational Projects:
-
Spatial Synthesis
for Identification of Site Specific Issues in Forest Resources Management
This project seeks to systemize the detection and assessment of situations in which specific forest sites assume special significance by virtue of their placement in particular landscape patterns. These situations arise as a result of spatial structure that transcends the concept of forest as land supporting growth of stands of trees. Conventional forest ecology and management address such occurrences only in general terms, leaving detection and assessment as being substantially subjective. The spatial technology needed to achieve this purpose also has broad spectrum relevance in other aspects of planning and management for land and water resources while contributing quantitative substance to the field of landscape ecology.
Gap Analysis
This project has the dual goals of conducting a regional vertebrate biodiversity analysis for Pennsylvania and developing a framework in advanced information technologies whereby the implications of land-use decisions and trends for biological diversity in Pennsylvania can be evaluated systematically and objectively. The knowledge base and analytical capability arising from the project should serve to guide both public policy and efforts of nongovernmental organizations concerned with conservation of biological diversity. The work is an integral part of the nationwide GAP ANALYSIS effort and will extend technology for applying the results of GAP analysis in other states.
Multiscale Statistical Approach to Critical-Area Analysis and modeling of Watersheds and Landscapes
Public agencies and corporate landholders are developing and maintaining major environmental databases for computerized mapping and analysis. The project focuses on development of objective and efficient methods for determining patterns of spatial variation from such databases -- particularly relating to water resources and landscape ecology -- and for making pattern comparisons between databases having different levels of detail. These capabilities will help managers to choose appropriate spatial resolution of data, improve districting of watersheds, and locate areas needing remedial attention.
PHASE-Based Broad-Area Landscape Change Analysis
This work exploits
the spatial structure of landscapes through image compression by hyperclustering
to detect patterns of environmental change. Spatially-based expressions
of landscape change are derived from remotely sensed imagery obtained
through the Landsat Pathfinder program for North American Land Characterization
(NALC).
-
Evans, B. and W.
Myers. 1990. A GIS-based approach to evaluating regional
groundwater pollution potential with DRASTIC. J.Soil and Water
Cons. 45(2):242-245.
-
Myers, W. 1999.
Remote sensing and quantitative geogrids in PHADSES [Pixel Hyperclusters
As Segmented Environmental Signals], Release 3.4. Tech. Report
ER9901, Environmental Resources Research Institute, Penn State Univ.,
Univ. Park, PA 16802.
Myers, W.L. 1994. Environmental remote sensing and geographic information systems-based modeling. Chapter 18, pages 615-642 in G.P. Patil and C.R. Rao (eds.). Handbook of Statistics 12-Environmental Statistics. Amsterdam: North-Holland.
Myers, W., G.D. Johnson, and G.P. Patil. 1995. Rapid mobilization of spatial/temporal information in the context of natural catastrophes. COENOSES 10(2-3):89-94.
Myers, W., G.P. Patil, and K. Joly. 1997. Echelon approach to areas of concern in synoptic regional monitoring. Environmental and Ecological Statistics 4(2):131-152.
Myers, W., G.P. Patil, and C. Taillie. 1999. Cluster coordinated composites of diverse datasets on several spatial scales for designing extensive environmental sample surveys: prospectus on promising protocols. Chapter 5, pages 119-133 in Subir Ghosh (ed). Multivariate Analysis, Design of Experiments, and Survey Sampling. New York: Marcel Dekker, Inc.
Myers, W. and R. Shelton. 1998. Survey methods for ecosystem management. New York: Wiley-Interscience. 403p.
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This page last updated on: May 1, 2008