Geography Reference
In-Depth Information
De Pauw, E. (2005). Mapping the agricultural regions of Syria. In Annual Report (2004) (Ed.),
Natural resource management program. Aleppo, Syria: ICARDA.
De Pauw, E., Oberle, A., & Zöbisch, M. (2004). Land cover and land use in Syria: An overview.
Jointly published by Asian Institute of Technology (AIT), International Center for
Agricultural Research in the Dry Areas (ICARDA) and the World Association of Soil and
Water Conservation (WASWC).
Del Frate, F., Ferrazzoli, P., & Schiavon, G. (2003). Retrieving soil moisture and agricultural
variables by microwave radiometry using neural networks. Remote Sensing of Environment,
84(2), 174-183.
Del Frate, F., Schiavon, G., Solimini, C. (2005). Use of high resolution satellite data for change
detection in urban areas. In Proceedings of ESA EUSC 2005 Conference: Image Information
Mining—Theory and Application to Earth Observation, October, 2005, ESA/ESRIN, Frascati,
Italy.
Donnay, J., Barnsley, M. J., & Longley, P. A. (2001). Remote Sensing and Urban Analysis. New
York: Taylor and Francis.
Draeger, W. (1976). Monitoring irrigated land acreage using Landsat imagery: An application
example. USGS Open-file Report No. 76-630, (pp. 23). USGS, Sioux Falls, S.D.
Duda, R. O., Hart, P. E., & Stork, D. G. (2000). Pattern classification (2nd ed.). Chichester, New
York: Wiley.
Eastman, J. R. (2006). IDRISI Andes tutorial. Worcester, USA: Clark Labs.
ERDAS. (1999). Field guide: Earth resources data analysis system. Atlanta, Georgia: ERDAS
Inc.
Fitzgerald, G. J., Pinter, J., Hunsaker, D. J., & Clarke, T. R. (2005). Multiple shadow fractions in
spectral mixture analysis of a cotton canopy. Remote Sensing of Environment, 97(4), 526-539.
French, A. N., Schmugge, T. J., Ritchie, J. C., Hsu, A., Jacob, F., & Ogawa, K. (2008). Detecting
land cover change at the Jornada Experiment Range, New Mexico, with aster emissivities.
Remote Sensing of Environment, 112, 1730-1748.
Frolking, S., Xiao, X., Zhuang, Y., Salas, W., & Li, C. (1999). Agricultural landuse in China: A
comparison of area estimates from ground-based census and satellite-borne remote sensing.
Global Ecology and Biogeography, 8(5), 407-416.
Fukunaga, K. (1990). Introduction to statistical pattern recognition (2nd ed.). Boston: Academic
Press.
Fuller, R., Smith, G., Sanderson, J., Hill, R., & Thomson, A. (2002). The UK land cover
map 2000: Construction of a parcel-based vector map from satellite images. Cartographic
Journal, 39(1), 15-25.
Galvao, L. S., Ponzoni, F. J., Epiphanio, J. C. N., Rundorff, B. F. T., & Formaggio, A. R. (2004).
Sun and view angle effects on NDVI determination of land cover types in the Brazilian
Amazon region with hyperspectral data. International Journal of Remote Sensing, 25(10),
1861-1879.
Gao, B. C., & Goetz, A. F. H. (1992). A linear spectral matching technique for retrieving
equivalent water thickness and biochemical constituents of green vegetation, pp. 35-37. In
Proceedings of the Third Airborn Annual JPL Geosciences Workshop (AVIRIS, TIMS and
AIRSAR), Jet Propulsion Laboratory, Pasadena, CA.
Gomez, C., Delacourt, C., Allemand, P., Ledru, P., & Wackerle, R. (2005). Using ASTER remote
sensing data set for geological mapping, in Namibia. Physics and Chemistry of the Earth,
30(1-3), 97-108.
Group on Earth Observation/GEO. (2010). Best practices for crop area estimation with remote
sensing. Retrieved September 14, 2010, from http://www.earthobservations.org/documents/
cop/ag_gams/GEOSS%20best%20practices%20area%20estimation%20final.pdf .
Harrison, B. A., & Jupp, D. L. B. (1989). Introduction to remotely sensed data. Melbourne:
CSIRO Publications.
Hastie, T., Tibshirani, R., & Friedman, J. (2001). The elements of statistical learning. New York:
Springer.
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