In my work, I use remote sensing, geographic information systems (GIS), and spatial analysis to study environmental and social systems. These tools (collectively referred to as "geospatial science and technology") can be applied to many types of problems. In recent years I've used them to measure the optical properties of lakes from satellite imagery, assess changes in the land use and hydrology of irrigated-agricultural landscapes in Egypt and China, and monitor the seasonal cycle of greenness and senescence in East Africa. Working with colleagues in the social sciences, I've also used spatial analysis to map patterns of segregation and diversity across the US, to interpret factors influencing closely fought elections, and to use landscape-scale spatial phenomena as a window onto economic policies.
Lillesand, T., R. Kiefer, and J. Chipman. 2015. Remote Sensing and Image Interpretation, 7th edition. John Wiley & Sons, Hoboken, NJ. 720 p. plus online materials.
Heindel, R.C., J.W. Chipman, J.T. Dietrich, and R.A. Virginia. 2018. Quantifying rates of soil deflation with Structure-from-Motion photogrammetry in West Greenland. Arctic, Antarctic, and Alpine Research, special issue on Environmental Change and Impacts in the Kangerlussuaq Area, West Greenland, 50(1): S100012. doi: 10.1080/15230430.2017.1415852.
Spera, S., J.M. Winter, and J.W. Chipman. 2018. Evaluation of agricultural land cover representations on regional climate model simulations in the Brazilian Cerrado. Journal of Geophysical Research-Atmospheres, 123(10): 5163-5176. doi: 10.1029/2017JD027989.
Kopec, B., X. Feng, E.S. Posmentier, J.W. Chipman, and R.A. Virginia. 2018. Use of principal component analysis to extract environmental information from lake water isotopic compositions. Limnology and Oceanography 63(3): 1340-1354. doi: 10.1002/lno.10776.