HGIS: Remote Sensing

Remote Sensing and Image Interpretation

December, 2001

Remote Sensing Representative Assignments

Project Location Client Description

Evaluation of Techniques for Updating Forestry GIS Databases Kapuskasing
Ontario Ontario Centre for Remote Sensing Techniques for updating forestry and GIS databases were evaluated. Microcomputer GIS and video technology were utilized to update raster and vector forestry databases via LANDSAT Thematic Mapper (TM) images and aerial photography. Analysis was carried out to determine comparison of areal accuracies obtained from using TM imagery and live video overlay of aerial photography to create an updated 1:20,000 scale cutover map.

Generalized Land Cover Mapping Moose River Basin
Northern Ontario Ontario Hydro Supervised classification of the Moose River Basin into 11 land cover classess for environmental assessment. Undertaken in association with the Ontario Centre for Remote Sensing.

Multivariate Analysis Techniques for Land Cover Classification using Multi-spectral Scanner Data Stratford
Ontario Directorate
Environment Canada Simulated LANDSAT D multispectral scanner data was subjected to two multivariate analysis techniques used in community ecology in an effort to more effectively separate spectrally heterogeneous land cover classes. Results demonstrated that individuals and agencies not having access to image analysis systems could effectively use general purpose computing systems for analyzing digital remote sensing data.

Wetland Mapping and Environmental Monitoring Using LANDSAT Digital Data Peace-Athabasca Delta, Lake Athabasca Region, N.W.T. Parks Canada Prairie Region Multidate LANDSAT digital data was used in conjunction with supervised and unsupervised classification techniques to classify wetland habitat types in the Peace-Athabasca Delta and to monitor these changes under different hydrologic regimes. Impact assessment of these changes on waterfowl, muskrat and bison were estimated.

Project	Location	Client	Description
Evaluation of Techniques for Updating Forestry GIS Databases	Kapuskasing Ontario	Ontario Centre for Remote Sensing	Techniques for updating forestry and GIS databases were evaluated. Microcomputer GIS and video technology were utilized to update raster and vector forestry databases via LANDSAT Thematic Mapper (TM) images and aerial photography. Analysis was carried out to determine comparison of areal accuracies obtained from using TM imagery and live video overlay of aerial photography to create an updated 1:20,000 scale cutover map.

Generalized Land Cover Mapping	Moose River Basin Northern Ontario	Ontario Hydro	Supervised classification of the Moose River Basin into 11 land cover classess for environmental assessment. Undertaken in association with the Ontario Centre for Remote Sensing.

Multivariate Analysis Techniques for Land Cover Classification using Multi-spectral Scanner Data	Stratford Ontario	Directorate Environment Canada	Simulated LANDSAT D multispectral scanner data was subjected to two multivariate analysis techniques used in community ecology in an effort to more effectively separate spectrally heterogeneous land cover classes. Results demonstrated that individuals and agencies not having access to image analysis systems could effectively use general purpose computing systems for analyzing digital remote sensing data.

Wetland Mapping and Environmental Monitoring Using LANDSAT Digital Data	Peace-Athabasca Delta, Lake Athabasca Region, N.W.T.	Parks Canada Prairie Region	Multidate LANDSAT digital data was used in conjunction with supervised and unsupervised classification techniques to classify wetland habitat types in the Peace-Athabasca Delta and to monitor these changes under different hydrologic regimes. Impact assessment of these changes on waterfowl, muskrat and bison were estimated.