GEOG 3440

LAB 1

McNoleg, O. 1996. The integration of GIS, remote sensing, expert systems and adaptive co-kriging for environmental habitat modeling of the highland haggis using object-oriented, fuzzy-logic and neural-network techniques.  Computers & Geosciences  22(5):585-588.

AND 1 OF THE FOLLOWING:

French, N.H.F., E.S. Kasischke, R.J. Hall, K.A. Murphy, D.L. verbyla, E.E. Hoy, and J.L. Allen. 2008. Using Landsat data to assess fire and burn severity in the Northern American boreal forest region: an overview and summary of results. International Journal of Wildland Fire 17:443-462.

Nagarajan, R. A. Mukherjee, A. Roy, and M.V. Khire. 1998. Temporal remote sensing data and GIS application in landslide hazard zonation of part of Western Ghat, India. International Journal of Remote Sensing 19(4):573-585.

LAB 2

Pietroniro, A. and R. Leconte. 2005. A review of Canadian remote sensing and hydrology, 1999-2003. Hydrological Processes 19(1):285-301.

OR

Becker, M.W. 2006. Potential for satellite remote sensing of ground water. Ground Water44(2):306-318.

LAB 3

Read about geometric rectification and give it some deep thought.  Then, on Moodle, post to the discussion on the topic: why and when is geometric rectification necessary and when is it not? The following paper will help guide the discussion along with the textbook readings.

Rocchini, D. and A.D. Rita. 2005. Relief effects on aerial photos geometric correction. Applied Geography 25:159-168.

LAB 4

Basnyat, P., L.D. Teeter, B.G. Lockaby, and K.M. Flynn. 2000. The use of remote sensing and GIS in watershed level analyses of non-point source pollution problems. Forest Ecology and Management 128(1-2):65-73.

OR

Ning, S.K., N.B. Chang, K.Y. Jeng, and Y.H. Tseng. 2006. Soil erosion and non-point source pollution impacts assessment with the aid of multi-temporal remote sensing images. Journal of Environmental Management 79(1):88-101.

LAB 5

Teillet, P.M., K. Staenz, and D.J. Williams. 1997. Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions. Remote Sensing of Environment 61(1):139-149.

OR

Brown, L., J.M. Chen, S.G. Leblanc, and J. Cihlar. 2000. A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests: an image and model analysis. Remote Sensing of Environment 71(1):16-25.

LAB 6

Bastiaanssen, W.G.M., D.J. Molden, and I.W. Makin. 2000. Remote sensing for irrigated agriculture: examples from research and possible applications. Agricultural Water Management46(2):137-155.

OR

Seelan, S.K., S. Laguette, G.M. Casady, and G.A. Seielstad. 2003. Remote sensing applications for precision agriculture: a learning community approach. Remote Sensing of Environment 88(1-2):157-169.

LAB 7

Watson, I.M. V.J. Realmuto, W.I. Rose, A.J. Prata, G.J.S. Bluth, Y. Gu, C.E. Bader, and T. Yu. 2004. Thermal infrared remote sensing of volcanic emissions using the moderate resolution imaging spectroradiometer. Journal of Volcanology and Geothermal Research 135(1-2):75-89.

OR

Chudnovsky, A, E. Ben-Dor, and H. Saaroni. 2004. Diurnal thermal behavior of selected urban objects using remote sensing measurements. Energy and Buildings 36(11):1063-1074.

LAB 8

Congalton, R.G. 1991. A review of assessing the accuracy of classifications of remotely sensed    data. Remote Sensing of Environment 37(1):35-46.

OR

Hyyppa, H.J. and J.M. Hyyppa. 2001. Effects of stand size on the accuracy of remote sensing-based forest inventory. IEEE Transactions on Geoscience and Remote Sensing 39(12):2613-2621.

LAB 9

Lefsky, M.A. W.B. Cohen, G.G. Parker, and D.J. Harding. 2002. LiDAR remote sensing for ecosystem studies. Bioscience 52(1):19-30.

OR

Lim, K., P. Treitz, M. Wulder, B. St-Onge, and M. Flood. 2003. LiDAR remote sensing of forest structure. Progress in Physical Geography 27(1):88-106.

Additional Readings

Chen, J.M. 1996. Evaluation of vegetation indices and a modified simple ratio for boreal applications. Canadian Journal of Remote Sensing 22(3):229-242.

Huete, A.R. 1988. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 25(3):295-309.

Jackson, R.D. and A.R. Huete. 1991. Interpreting vegetation indices. Preventive Veterinary Medicine 11(3-4):185-200.

Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8(2):127-150.

Delegido, J. J. Verrelst, C.M. Meza, J.P. Rivera, L. Alonso, and J. Moreno. 2013. A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems. European Journal of Agronomy 46:42-52.

Kour, R., N. Patel, and A.P. Krishna. 2015. Assessment of relationship between snow cover characteristics (SGI and SCI) and snow cover indices (NDSI and S3). Earth Science Informatics 8(2):317-326.

Schmugge, T.J. W.P. Kustas, J.C. Ritchie, T.J. Jackson, and A. Rango. 2002. Remote sensing in hydrology. Advances in Water Resources 25(8-12):1367-1385.

Tewkesbury, A.P. A.J. Comber, N.J. Tate, A. Lamb, and P.F. Fisher. 2015. A critical synthesis of remotely sensed optical image change detection techniques. Remote Sensing of Environment 160:1-14.