Resume

• 2013

  NASA Panel

  UW Remote Senisng and Geospatial Analysis Laboratory

  Precision Forestry Cooperative

  NASA Panel

  President

  ASPRS Puget Sound Region

  Precision Forestry Cooperative

  University of Washington

  Director

  Greater Seattle Area

  Dr. L. Monika Moskal is an Associate Professor of Remote Sensing at the University of Washington (UW)

  College of the Environment

  School of Environmental and Forest Sciences (SEFS); where she is the Director of the Precision Forestry Cooperative and the Remote Sensing and Geospatial Analysis Laboratory(RSGAL)

  she is also the Associate Director of (SEFS). She is one of the core faculty in the UW Precision Forestry Cooperative and is affiliated with the UW BioEnergy IGERT and the UW Interdisciplinary PhD Program in Urban Design and Planning. She is also the Faculty Advisor for the UW-Geospatial Club and a board member and past President of the Puget Sound American Society for Photogrammetry and Remote Sensing - ASPRS.

  Associate Professor of Remote Sensing & Associate Director

  University of Washington ~ School of Environmental and Forest Sciences

• 2000

  PhD

  Remote Sensing and GIS

• 1997

  University of Calgary

  University of Washington ~ School of Environmental and Forest Sciences

  ASPRS Puget Sound Region

  Missouri State University

  Missouri State University

  PI and Executive Director

  Dr. L. M. Moskal's Remote Sensing and Geospatial Analysis Laboratory (RSGAL) is the remote sensing and geospatial research partner of the Precision Forestry Cooperative in the College of the Environment

  School of Forest Resources at the University of Washington. The laboratory was established in 2003 and originally located at Missouri State University (2003-2006)

  it continues to be directed by Dr. L. Monika Moskal.

  UW Remote Senisng and Geospatial Analysis Laboratory

  University of Calgary

  MS

  Remote Sensing and GIS

• 1992

  Polish

  English

  BES (Honors)

  Environmental Studies (Remote Sensing and GIS)

• LiDAR

  Science

  Statistics

  Environmental Awareness

  ArcGIS

  Natural Resource Management

  Photogrammetry

  Forestry

  Analysis

  Remote Sensing

  Higher Education

  University Teaching

  Watershed Management

  Geomatics

  Precision Forestry

  Spatial Analysis

  Biodiversity

  Spatial Databases

  GIS

  Quantification of landscape change from satellite remote sensing

  M.J. Hansen

  E.E. Dickson

  S.E. Franklin

  Satellite remote sensing data and methods can be used to develop maps of large areas at different times in order to assess changes in forest ecosystem patterns and processes. Such maps are useful in understanding wildlife populations and habitat

  forest biodiversity

  and forest productivity. They may be important in ecological monitoring programs at multiple spatial and temporal scales

  and could include assessment of structural aspects of the landscape

  such as forest or habitat fragmentation. Quantification and measurement of landscape structure depend on the definition of landscape classes or patches

  defined on the basis of more or less homogeneous elements

  which differ in some measurable way from neighbouring patches. In this paper

  we review some of the issues

  and provide examples using satellite remote sensing data

  in the quantification of landscape structure in two Canadian forests. The link between landscape structure and biodiversity is provided through the emergence of ecological understanding of species richness

  species-habitat or niches

  and metapopulation dynamics.

  Quantification of landscape change from satellite remote sensing

  Darlene Zabowskie

  Hyperspectral Analysis of Soil Nitrogen

  Carbon

  Carbonate

  and Organic Matter Using Regression Trees

  Ruiz LA

  Cooos

  N.C.

  Deriving pseudo-vertical waveforms from small-footprint full-waveform LiDAR data

  Ruiz LA

  Cooos

  N.C.

  Deriving pseudo-vertical waveforms from small-footprint full-waveform LiDAR data

  L. Monika

  Moskal

  PhD