Remote Sensing-Focused Research Projects
Reconstruction
of historical exposure regimes to environmental contaminants often requires
historical landscape information defining land use and land cover types. EHASL
has been involved in the development of satellite image classification procedures
to classify historical landscapes for use in epidemiological investigations.
Our focus has centered on defining current and historical agricultural landscapes
for studies of non-Hodgkin's lymphoma and childhood leukemia. This has included
the development of image classification techniques, validation and accuracy
assessment of existing satellite image products, and use of remote sensing
for mapping. In addition, EHASL has explored effects of scale on image classification
and factors affecting spatial patterns on the landscape.
Selected Historic and Current Projects:
| Crop Classification Evaluation of automating crop classification methods (NIH/NCI) |
| Analysis of ecosystem stressors across scales using remotely sensed imagery (USEPA) |
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