Cover Image
The center images depict China Camp State Park in Marin County, California from the south. The top image is ADAR imagery shown in false color composite draped over topography. The bottom image shows a density surface of oak mortality in the park derived from ADAR imagery. Areas of severe oak mortality are shown in red to purple, and areas of no mortality are shown in dark green to yellow. Light green through blue indicates moderate mortality. The images to the left and right of the center graphics are examples of the disease from the park. The disease causes viscous bleeding on the trunk of the affected oaks, as well as dramatic, rapid crown color change. This new disease is caused by a fungus-like pathogen Phytophthora ramorum. See article on page 1001.
For more information, contact Maggi Kelly from Uiversity of California - Berkeley at mkelly@nature.berkeley.edu.
Highlight Article
966 Assessing
Forest Resources in Mexico: Wall-to-Wall Land Use/Cover Mapping
Jean-François Mas, Alejandro Velázquez , José Luis Palacio-Prieto,
Gerardo Bocco, Armando Peralta, and Jorge Prado
Peer-Reviewed Articles (Click the linked titles to see the full abstract)
1001 Landscape
Dynamics of the Spread of Sudden Oak Death
Maggi Kelly and Ross K. Meentemeyer
Spatial analysis and classification tree analysis were applied to the distribution of tree mortality in an area of California affected by Sudden Oak Death in order to determine spatial clustering of tree mortality and develop a spatially articulated risk model for the disease.
1011 Characterizing
Fire-Related Spatial Patterns in the Arizona Sky Islands Using Landsat
TM Data
Mary C. Henry and Stephen R. Yool
Spatial metrics and rank correlation analyses were used to examine the relationship between satellite-derived forest spatial patterns and fire history.
1021 Time
Series Remote Sensing of Landscape-Vegetation Interactions in the
Southern Great Plains
Mark E. Jakubauskas, Dana L. Peterson, Jude H. Kastens, and David R. Legates
Relationships between environmental factors and an index of landscape variability derived by harmonic analysis of AVHRR NDVI data were assessed for the Southern Great Plains region.
1031 Characterizing
Landscape Dynamism Using Paneled-Pattern Metrics
Kelley A. Crews-Meyer
Panel analysis is conducted through a satellite image time series and ecological pattern metrics applied to assess landscape dynamics through the life history of patches.
1041 Statistical
Methods to Partition Effects of Quantity and Location During Comparison
of Categorical Maps at Multiple Resolutions
R. Gil Pontius, Jr.
Statistical methods to separate five components of agreement between two maps that show fuzzy classification are presented.
1051 Stochastic
Simulation of Land-Cover Change Using Geostatistics and Generalized
Additive Models
Daniel G. Brown, Pierre Goovaerts, Amy Burnicki, and Meng-Ying Li
A method is presented to simulate patterns of land-cover change such that a specified initial land-cover pattern, pattern of transition probabilities, and spatial pattern of change are all reproduced.
1063 Assessment
of the Urban Development Plan of Beijing by Using a CA-Based Urban
Growth Model
Jin Chen, Peng Gong, Chunyang He, Wei Luo, Masayuki Tamural, and Peijun Shi
A cellular automata-based model was used to assess Beijing's growth before 1997 and to spatially simulate possible change scenarios for future periods.
1073 Drivers
of Land-Use/Land-Cover Changes and Dynamic Modeling for the Atlanta,
Georgia Metropolitan Area
C.P. Lo and Xiaojun Yang
Landsat images and census data were integrated in a zone-based cellular approach to analyze the drivers of land-use/land-cover changes in Atlanta, Georgia.
1083 Quantifying
and Describing Urbanizing Landscapes in the Northeast United States
Daniel L. Civco, James D. Hurd, Emily Hoffhine Wilson, Chester L. Arnold, and
Michael P. Prisloe, Jr.
Methods for characterizing and modeling impervious surfaces, forest fragmentation, and urban growth are described in the context of land-use planning, and results are presented for select study watersheds.
1091 A
Strategy for Estimating the Rates of Recent United States Land-Cover
Changes
T.R. Loveland, T.L. Sohl, S.V. Stehman, A.L. Gallant, K.L. Sayler, and D.E.
Napton
The role of multi-date Landsat imagery, probability sampling, and stratification by ecoregion geographic fremework for the assessment of the regional rates and characteristics of land-cover change are presented.
1101 A
Land-Cover Data Infrastructure for Measurement, Modeling, and Analysis
of Land-Cover Change Dynamics
Richard Aspinall
A data infrastructure as a resource for integrating multiple data
sources, analytical tools, and modeling methods for the study of land-cover
dynamics is described.
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