Remote Sensing

Saginaw County Historic Aerial Orthorectification

High Risk Erosion Area Mapping for Upper Peninsula Counties

Great Lakes Shoreline Imagery Archive

L. Zhu, A. M. Shortridge, and D. Lusch (2012) Conflating LiDAR data and multi- spectral imagery for efficient building detection. Journal of Applied Remote Sensing 6(1). doi:10.1117/1.JRS.6.063602.

Sheffield, J.,Y. Xia, L. Luo, E. F. Wood, M. Ek, and K. Mitchell.  2011.  “The North American Land Data Assimilation System (NLDAS):  A Framework for Merging Model and Satellite Data for Improving Drought Monitoring.”  In Remote Sensing of Drought:  Innovative Monitoring Approaches.  Taylor and Francis Group.

Shortridge, A. and J. Messina.  2011.  “Spatial Structure and Landscape Associations of SRTM Error.”  Remote Sensing of the Environment.  115, 1576-1587.  Doi:1016/j.rse.2011.02.017.

Delamater, L., J. Messina, J. Qi, and M. Cochran.  2012.  “A Hybrid Visual Estimation Method for the Collection of Ground Truth Fractional Coverage Data in a Humid Subtropical Environment.”  International Journal of Applied Earth Observation and Geoinformation.  Doi:10.1016/j.jag.2011.10.005.

Tahmassebi, A.,  K. Wang, Z Shen, J. Deng, W.Zhu, F. Lin, and N. Moore.  2011.  “Evaluation on the Two Filling Functions for the Recovery of Forest Information in Mountainous Shadows on Landsat ETM+ Images.”  Journal of Mountain Science.  8 (3): 414-426.

Yu, L., Z. Zhang, S. Zhong, D. H. Lenschow, Z. Gao, H. Wu, N. Li, and B. Sun.  2011. “Interpretation of Recent Trends in Antarctic Sea Ice Concentration.”  Journal of Applied Remote Sensing.  5 (1), 053557.  Doi:10.1117/1..3643691.

Remote Sensing

Choice of raster cell resolution affects what can be observed; this is linked in complex ways to the process scale of the mapped vector phenomenon.  Here we see the impact of different resolutions on land cover data.

Remote Sensing gap_anim