The integration of satellite image data with forest inventory plot data is a popular approach for mapping forest vegetation over large regions. Several methodological choices regarding spatial scale, mostly related to spatial resolution or grain, can profoundly influence forest maps developed from plot and imagery data. Yet often the consequences...
AIM: Landscape management and conservation planning require maps of vegetation
composition and structure over large regions. Species distribution models
(SDMs) are often used for individual species, but projects mapping multiple species
are rarer. We compare maps of plant community composition assembled by
stacking results from many SDMs with multivariate maps...
AIM: Landscape management and conservation planning require maps of vegetation
composition and structure over large regions. Species distribution models
(SDMs) are often used for individual species, but projects mapping multiple species
are rarer. We compare maps of plant community composition assembled by
stacking results from many SDMs with multivariate maps...
Full Text:
, Janet L. Ohmann, Matthew J. Gregory, Heather M. Roberts & Harold
Zald
Keywords
Nearest-neighbor
AIM: Landscape management and conservation planning require maps of vegetation
composition and structure over large regions. Species distribution models
(SDMs) are often used for individual species, but projects mapping multiple species
are rarer. We compare maps of plant community composition assembled by
stacking results from many SDMs with multivariate maps...
The Northwest Forest Plan (NWFP), which aims to conserve late-successional and old-growth forests (older forests) and associated species, established new policies on federal lands in the Pacific Northwest USA. As part of monitoring for the NWFP, we tested nearest-neighbor imputation for mapping change in older forest, defined by threshold values...
This chapter is divided into three main sections. The first section discusses land cover map development. It begins by providing background information on the regional division of labor and the regional land cover legend. It then focuses on our land cover mapping methods, including a description of data sources, the...
This study investigated how lidar-derived vegetation indices, disturbance history from Landsat time series (LTS)
imagery, plot location accuracy, and plot size influenced accuracy of statistical spatial models (nearest-neighbor
imputation maps) of forest vegetation composition and structure. Nearest-neighbor (NN) imputation maps were
developed for 539,000 ha in the central Oregon Cascades,...
Full Text:
composition and structure
Harold S.J. Zald a,⁎, Janet L. Ohmann a, Heather M. Roberts a, Matthew J. Gregory a
This study investigated how lidar-derived vegetation indices, disturbance history from Landsat time series (LTS)
imagery, plot location accuracy, and plot size influenced accuracy of statistical spatial models (nearest-neighbor
imputation maps) of forest vegetation composition and structure. Nearest-neighbor (NN) imputation maps were
developed for 539,000 ha in the central Oregon Cascades,...
Full Text:
forest composition and structure
Harold S.J. Zald, Janet L. Ohmann, Heather M. Roberts, Matthew J
This study investigated how lidar-derived vegetation indices, disturbance history from Landsat time series (LTS)
imagery, plot location accuracy, and plot size influenced accuracy of statistical spatial models (nearest-neighbor
imputation maps) of forest vegetation composition and structure. Nearest-neighbor (NN) imputation maps were
developed for 539,000 ha in the central Oregon Cascades,...