535
Soil and Vegetation Moisture Changes for Forest Fire Events
Kohavi, R. and Provost, F. (1998). Glossary of terms. Editorial for the special issue on application of machine learning and the knowledge of discovery process. Machine Learning,
30, 271–274.
Leblon, B. (2000). Soil and vegetation optical properties, Remote Sensing Core Curriculum,
4, 2000, http://www.r-s-c-c.org/rscc/Volume4/Leblon/leblon.htm.
Lobell. D. B. and Asner, G. P. (2002). Moisture Effects on Soil Reflectance. Journal of Soil
Science Society of America, 66, 722–727.
Maki, M., Ishiara, M., and Tamura, M. (2004). Estimation of leaf water status to monitor the
risk of forest fires by using remotely sensed data. Remote Sensing of Environment, 90,
441–450.
Marshall, G. and Zhou, X. (2004). Drought Detection in Semiarid Regions Using Remote
Sensing of Vegetation Indices and Drought Indices. IEEE Proceedings of Geoscience
and Remote Sensing Symposium. IGARSS ’04, 3, 1555–1558.
McVicar, T. R. and Bierwirth, P. N. (2001). Rapidly assessing the 1997 drought in Papua New
Guinea using composite AVHRR imagery. International Journal Remote Sensing, 22,
2109–2128.
Miller, D., Mohanty, B. P., Jacobs, J. M., and Hsu, E. C. (2004). SMEX02: Field scale variability, time stability and similarity of soil moisture. Remote Sensing of Environment,
92, 436–446.
Min, Q. and Lin, B. (2006). Determination of spring onset and growing season leaf development using satellite measurements. Remote Sensing of Environment, 104, 96–102.
Myneni, R. B., Hall, F. G., Sellers, P. J., and Marshak, A. L. (1995). The interpretation of
spectral vegetation indexes. IEEE Transactions on Geoscience and Remote Sensing, 33,
481–486.
Narasimhan, B. (2004). Development of indices for agricultural drought monitoring using spatially distributed hydrologic model. PhD dissertation, Texas A&M University, College
Station, TX.
Narasimhan, B. and Srinivasan, R. (2005). Development and evaluation of Soil Moisture
Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural
drought monitoring. Agricultural and Forest Meteorology, 133, 69–88. doi:10.1016/j
.agrformet.2005.07.012.
Niemeyer, S. (2008). New drought indices. Options Méditerranéennes, Series A, 80, 267–274.
Nihei, N., Hashida, Y., Kobayashi, M., and Ishii, A. (2002). Analysis of malaria endemic
areas on the Indochina Peninsula using remote sensing. Japanese Journal of Infectious
Diseases, 55, 160–166.
Ou, S., Takano, Y., Liou, K. N., Higgins, G., George, A., and Slonaker, R. (2003). Remote
sensing of cirrus cloud optical thickness and effective particle size for the National
Polar-orbiting Operational Environmental Satellite System Visible_Infrared Imager
Radiometer Suite: Sensitivity to instrument noise and uncertainties in environmental
parameters. Applied Optics, 42, 7202–7214.
Palmer, W. C. (1965). Meteorological Drought. Research Paper 45. Washington, DC: U.S.
Department of Commerce, Weather Bureau.
Peters, A. J., Walter-Shea, E. A., Lei, J., Vina, A., Hayes, M., and Svoboda, M. R. (2002).
Drought monitoring with NDVI-based standardized vegetation index. Photogrammetric
Engineering & Remote Sensing, 68, 71–75.
Reed, B. C. (1993). Using remote sensing and Geographic Information Systems for analyzing landscape/drought interaction. International Journal Remote Sensing, 14,
3489–3503.
Reed, B. C., Brown, J. F., VanderZee, D., Loveland, T. R., Merchant, J. W., and Ohlen, D. O.
(1994). Measuring phenological variability from satellite imagery. Journal of Vegetation
Science, 5, 703–714.
Soil and Vegetation Moisture Changes for Forest Fire Events
Kohavi, R. and Provost, F. (1998). Glossary of terms. Editorial for the special issue on application of machine learning and the knowledge of discovery process. Machine Learning,
30, 271–274.
Leblon, B. (2000). Soil and vegetation optical properties, Remote Sensing Core Curriculum,
4, 2000, http://www.r-s-c-c.org/rscc/Volume4/Leblon/leblon.htm.
Lobell. D. B. and Asner, G. P. (2002). Moisture Effects on Soil Reflectance. Journal of Soil
Science Society of America, 66, 722–727.
Maki, M., Ishiara, M., and Tamura, M. (2004). Estimation of leaf water status to monitor the
risk of forest fires by using remotely sensed data. Remote Sensing of Environment, 90,
441–450.
Marshall, G. and Zhou, X. (2004). Drought Detection in Semiarid Regions Using Remote
Sensing of Vegetation Indices and Drought Indices. IEEE Proceedings of Geoscience
and Remote Sensing Symposium. IGARSS ’04, 3, 1555–1558.
McVicar, T. R. and Bierwirth, P. N. (2001). Rapidly assessing the 1997 drought in Papua New
Guinea using composite AVHRR imagery. International Journal Remote Sensing, 22,
2109–2128.
Miller, D., Mohanty, B. P., Jacobs, J. M., and Hsu, E. C. (2004). SMEX02: Field scale variability, time stability and similarity of soil moisture. Remote Sensing of Environment,
92, 436–446.
Min, Q. and Lin, B. (2006). Determination of spring onset and growing season leaf development using satellite measurements. Remote Sensing of Environment, 104, 96–102.
Myneni, R. B., Hall, F. G., Sellers, P. J., and Marshak, A. L. (1995). The interpretation of
spectral vegetation indexes. IEEE Transactions on Geoscience and Remote Sensing, 33,
481–486.
Narasimhan, B. (2004). Development of indices for agricultural drought monitoring using spatially distributed hydrologic model. PhD dissertation, Texas A&M University, College
Station, TX.
Narasimhan, B. and Srinivasan, R. (2005). Development and evaluation of Soil Moisture
Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural
drought monitoring. Agricultural and Forest Meteorology, 133, 69–88. doi:10.1016/j
.agrformet.2005.07.012.
Niemeyer, S. (2008). New drought indices. Options Méditerranéennes, Series A, 80, 267–274.
Nihei, N., Hashida, Y., Kobayashi, M., and Ishii, A. (2002). Analysis of malaria endemic
areas on the Indochina Peninsula using remote sensing. Japanese Journal of Infectious
Diseases, 55, 160–166.
Ou, S., Takano, Y., Liou, K. N., Higgins, G., George, A., and Slonaker, R. (2003). Remote
sensing of cirrus cloud optical thickness and effective particle size for the National
Polar-orbiting Operational Environmental Satellite System Visible_Infrared Imager
Radiometer Suite: Sensitivity to instrument noise and uncertainties in environmental
parameters. Applied Optics, 42, 7202–7214.
Palmer, W. C. (1965). Meteorological Drought. Research Paper 45. Washington, DC: U.S.
Department of Commerce, Weather Bureau.
Peters, A. J., Walter-Shea, E. A., Lei, J., Vina, A., Hayes, M., and Svoboda, M. R. (2002).
Drought monitoring with NDVI-based standardized vegetation index. Photogrammetric
Engineering & Remote Sensing, 68, 71–75.
Reed, B. C. (1993). Using remote sensing and Geographic Information Systems for analyzing landscape/drought interaction. International Journal Remote Sensing, 14,
3489–3503.
Reed, B. C., Brown, J. F., VanderZee, D., Loveland, T. R., Merchant, J. W., and Ohlen, D. O.
(1994). Measuring phenological variability from satellite imagery. Journal of Vegetation
Science, 5, 703–714.