Aggregation and Visualization of Spatial Data with Application to Classification of Land Use and Land Cover

Mihal Miu, Xiaokun Zhang, M Ali Akber Dewan and Junye Wang^*

Faculty of Science and Technology,School of Computing and Information Systems, Athabasca University, Edmonton, Canada

*Corresponding Author : Junye Wang
Faculty of Science and Technology, Athabasca University, Edmonton T5J 3S8, Canada
Tel: +1 7803944883
E-mail: junyew@athabascau.ca

Received: August 18, 2017 Accepted: September 06, 2017 Published: September 13, 2017

Citation: Miu M, Zhang X, Dewan MAA, Wang J (2017) Aggregation and Visualization of Spatial Data with Application to Classification of Land Use and Land Cover . Geoinfor Geostat: An Overview 5:4. doi: 10.4172/2327-4581.1000165

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 surveys. 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. The approach proposed in this paper is useful for LULC classification in environmental spatial analysis.