Geoscience Reference
In-Depth Information
Fig. 8.6 Land cover/land use classification with crop types, 2005
found to represent no-till agriculture in the watershed. An accuracy assessment
was also conducted, and an error matrix was created. The resulting image of the
supervised classification conducted for the tillage systems in 2006 is shown in
Fig.
8.7
. The accuracy was 81.33% and did not reach the acceptable guideline.
However, it was the best result which was performed, and the technique was
utilized for the remaining annual classification and mapping of tillage with similar
results. The Kappa value was 0.77, with the agreement between the classification
map and the reference data fair enough and close to a strong relationship, and the
accuracy of the classification was less likely to happen by chance.
8.5 Discussion
With the development of the Maumee GIS/Remote Sensing project several data
gathering issues have been identified. Data may have been found for only one or
two states and not complete for the entire Maumee Basin. Some contacts were
not willing to share their data due to copyright or propriety issues. Some data is
not being made public because of security reasons such as transportation, pipeline,
and other infrastructure. For many of the GIS datasets no metadata attached to data
