Joseph Knight

jknight@umn.edu | 612-625-5354

Geospatial Science Group
Remote Sensing and Geospatial Analysis Lab

301E Green Hall
1530 Cleveland Ave N
St Paul, MN 55108

Education:

Research interests: Identification and characterization of natural and anthropogenic landscape change, wetland delineation and description, and thematic accuracy assessment methods development using multispectral and multitemporal remotely sensed image data. Advisor in the Master of Geographic Information Science  (MGIS) graduate program.

Classes:
FR 3262/5262 Remote Sensing of Natural Resources and Environment
FR 5615 Field Remote Sensing and Resource Survey
ESPM 1011 Issues in the Environment

Graduate Programs:
Natural Resource Science & Management
Soil Science
Water Resource Science
Land and Atmospheric Science

Selected Publications:
Lunetta, R.S., J.F. Knight, H.W. Paerl, J.J. Streicher, B.J. Peierls, T. Gallo, J.G. Lyon, T.H. Mace, C.P. Buzzelli. Measurement of Water Color using AVIRIS Imagery to Assess the Potential for an Operational Monitoring Capability in the Pamlico Sound Estuary, USA.  International Journal of Remote Sensing, in press.

Lunetta, R.S., J.F. Knight, J. Ediriwickrema, J.G. Lyon, L.D. Worthy, (2006). Land Cover Change Detection Using Multi-Temporal MODIS NDVI Data. Remote Sensing of Environment, 105: 142-154.

Knight, J.F. and R.S. Lunetta, (2006). Regional Scale Land Cover Characterization Using MODIS NDVI 250 m Multi-temporal Imagery: A Phenology-Based Approach. GIScience and Remote Sensing, 43(1): 1-23.

Knight, J.F. and R.S. Lunetta, (2003). An Experimental Assessment of Minimum Mapping Unit Variability. IEEE Transactions on Geoscience and Remote Sensing, 41(9).

Khorram, S., J.F. Knight, and H.I. Cakir, (2003). Thematic Accuracy Assessment of Regional Scale Land Cover Data. In R.S. Lunetta and J.G. Lyon, editors, Remote Sensing and GIS Accuracy Assessment. Boca Raton: CRC Press.

Lunetta, R.S., J.S. Iiames, J.F. Knight, R.G. Congalton, T.H. Mace, (2001). An Assessment of Reference Data Variability Using a Virtual Field Reference Database.  Photogrammetric Engineering and Remote Sensing, Vol.67, No. 1, pp. 707-715.