  Aggregation and visualization of geographical data are an important part of
environmental data mining, environmental modelling, and agricultural
management. However, it is difficult to aggregate geospatial data of the
various formats, such as maps, census and survey data. This paper presents a
framework named PlaniSphere, which can aggregate the various geospatial
datasets, and synthesizes raw data. We developed an algorithm in PlaniSphere to
aggregate remote sensing images with census data for classification and
visualization of land use and land cover (LULC). The results show that the
framework is able to classify geospatial data sets of LULC from multiple
formats. National census data sets can be used for calibration of remote
sensing LULC classifications. This provides a new approach for the
classification of remote sensing data. This approach proposed in this paper
should be useful for LULC classification in environmental spatial analysis.
