Skip to main content
ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » People » Craig Daughtry

Craig Daughtry
headline bar
  photo of Craig Daughtry
Craig S. T. Daughtry, Ph.D.
Research Agronomist (Retired)
USDA-ARS Hydrology and Remote Sensing Laboratory
Bldg. 007, Rm. 104, BARC-West
Beltsville, MD 20705-2350 USA
Voice: (301) 504-5015
Fax: (301) 504-8931
Craig.Daughtry@ars.usda.gov


Research Interests: (click here to see a list of current research projects)


Education:


Professional Experience:


Awards:


Selected Publications: (please contact the author to determine reprint availability)

(view author's publications/interpretive summaries/technical abstracts since 1999)

 

Daughtry, C. S. T., Bauer, M. E., Crecelius, D. W., and Hixson, M.. M.   Effects of management practices on reflectance of spring wheat canopies. Agronomy J. 72:1055-1060. 1980. (download PDF reprint, 211 Kb)

Daughtry, C. S. T., Vanderbilt, V. C., and Pollara, V. J.   Variability of reflectance measurements with sensor altitude and canopy type. Agronomy J. 74:744-751. 1982. (download PDF reprint, 252 Kb)

Daughtry, C. S. T., Gallo, K. P., and Bauer, M. E.   Spectral estimates of solar radiation intercepted by corn canopies. Agronomy J. 75:527-531. 1983. (download PDF reprint, 187 Kb)

Vanderbilt, V. C., Grant, L., and Daughtry, C. S. T. Polarization of light scattered by vegetation. The IEEE Proceedings 73:1012-1024. 1985.

Gallo, K. P., Daughtry, C. S. T., and Bauer, M. E. Spectral estimators of absorbed photosynthetically active radiation in corn canopies. Remote Sensing of Environment 17:221-232. 1985.

Daughtry, C. S. T., Biehl, L. L., and Ranson, K. J.   A new technique to measure the spectral properties of conifer needles. Remote Sensing Environment 27:81-91. 1989. (download PDF reprint, 690 Kb)

Daughtry, C. S. T.   Direct measurements of canopy structure. Remote Sensing Reviews 5:45-60. 1990. (download PDF reprint, 3.2 Mb)

Daughtry, C. S. T., Kustas, W. P., Moran, M. S., Pinter, P. J., Jr., Jackson, R. D., Brown, P. W., Nichols, W. D., and Gay, L. W. Spectral estimates of net radiation and soil heat flux. Remote Sensing Environment 32:111-124. 1990. (download PDF reprint, 1.2 Mb)

Daughtry, C. S. T., Gallo, K. P., Goward, S. N., Prince, S. D., and Kustas, W. P.   Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies. Remote Sensing Environment 39:141-152. 1992. (download PDF reprint, 980 Mb)

Grant, L., Daughtry, C. S. T., and Vanderbilt, V. C.   Polarized and specular reflectance variation with leaf surface features. Physiologia Plantarum 88:1-9. 1993. (download PDF reprint, 2.3 Mb)

Daughtry, C. S. T., McMurtrey III, J. E., Chappelle, E. W., Dulaney, W. P., Irons, J. R., and Satterwhite, M. B.  Potential for discriminating crop residues from soil by reflectance and fluorescence. Agronomy J. 87:165-171. 1995. (download PDF reprint, 2.1 Mb)

Daughtry, C. S. T., McMurtrey III, J. E., Kim, M. S., and Chappelle, E. W.   Estimating crop residue cover by blue fluorescence imaging. Remote Sensing Environment 60:14-21. 1997. (download PDF reprint, 639 Kb)

Lu, Yao C., Daughtry, C. S. T., Hart, G. F., and Watkins, K. B. The current state of precision farming. Food Reviews International 13:141-162. 1997.

Daughtry, C. S. T. and Walthall, C. L. Spectral discrimination of Cannabis sativa L. leaves and canopies. Remote Sensing of Environment. 64:192-201. 1998.(download PDF reprint, 480 Kb)

Daughtry, C. S. T., Walthall, C. L., Kim, M. S., Brown de Colstoun, E., and McMurtrey, J. E.  Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment. 74:229-239. 2000. (download PDF reprint, 503 Kb)

Nagler, P. L., Daughtry, C. S. T., & Goward, S. N. (2000). Plant litter and soil reflectance. Remote Sensing of Environment, 71(2), 207-215.

Daughtry, C. S. T.  Discriminating crop residues from soil by shortwave infrared reflectance. Agronomy Journal 93:125-131. 2001. (download PDF reprint, 211 Kb)

Daughtry, C. S. T., Hunt Jr., E. R., and McMurtrey III, J. E. Assessing crop residue cover using shortwave infrared reflectance. Remote Sensing of Environment 90:126-134. 2004. (download PDF reprint, 348 Kb)

Gish T. J., Daughtry, C. S. T., Walthall, C. L. and Kung, K-J. S. Quantifying impact of hydrology on corn grain yield using ground-penetrating radar. Subsurface Sensing Technologies and Applications Journal 2:493-496. 2004.

Daughtry, C. S. T., Hunt Jr., E. R., Doraiswamy, P. C., and McMurtrey III, J. E.   Remote sensing the spatial distribution of crop residues. Agronomy J. 97:864-871. 2005. (download PDF reprint, 35 Mb)

Gish, T. J., Walthall, C. L., Daughtry, C. S. T., and Kung, K-J. S. Using soil moisture and spatial yield patterns to identify subsurface flow pathways. J. Environmental Quality 34:274-286. 2005.

Daughtry, C. S. T., Doraiswamy, P. C., Hunt, E. R., Stern, A. J., McMurtrey III, J. E., and Prueger, J. H. Remote sensing of crop residue cover and soil tillage intensity. Soil Tillage Research 91:101-108. 2006.

Nagler, P. L., Inoue, Y., Glenn, E. P., Russ, A. L., & Daughtry, C. S. T. (2003). Cellulose absorption index (CAI) to quantify mixed soil-plant litter scenes. Remote Sensing of Environment, 87(2-3), 310-325.

Daughtry, C. S. T. and Hunt Jr., E. R. Mitigating the effects of soil and residue water contents on remotely sensed estimates of crop residue cover. Remote Sensing Environment 112:1647-1657. 2008.

Houborg R., Anderson M., Daughtry C. Utility of an image-based canopy chlorophyll modeling tool for remote estimation pf LAI and leaf chlorophyll content at the field scale. Remote Sensing of Environment 113:259-274. 2009.

Serbin, G., Daughtry, C. S. T., Hunt, E. R., McCarty, G. W., Doraiswamy, P. C., and Brown D.J. Effect of soil spectral properties on remote sensing of crop residue cover. Soil Science Society of America Journal 73: 1545-1558. 2009.

Serbin, G., Hunt Jr., E. R., Daughtry, C. S. T., and Doraiswamy, P. C. An improved ASTER index for remote sensing of crop residue. Remote Sensing 1:971-991. 2009.

Corp, L. A., Middleton, E. M., Campbell, P. K. E., Huemmrich, K. F., Daughtry, C. S. T., Russ, A. L., & Cheng, Y. (2010). Spectral indices to monitor nitrogen-driven carbon uptake in field corn. Journal of Applied Remote Sensing, 4(1)

Daughtry, C. S. T., Serbin, G., Reeves III, J. B., Doraiswamy, P. C., and Hunt Jr., E. R. Effects of decomposition of remotely sensed estimates of wheat residue cover. Remote Sensing 2:416-431. 2010.

Beeson, P. C., Doraiswamy, P. C., Sadeghi, A. M., Di Luzio, M., Tomer, M. D., Arnold, J. G., & Daughtry, C. S. T. Treatments of precipitation inputs to hydrologic models. Transactions of the ASABE, 54(6), 2011-2020. 2011.

Houborg, R., Anderson, M. C., Daughtry, C. S. T., Kustas, W. P., & Rodell, M. Using leaf chlorophyll to parameterize light-use-efficiency within a thermal-based carbon, water and energy exchange model. Remote Sensing of Environment, 115(7), 1694-1705. 2011.

Hunt, E.R., Jr., Daughtry, C.S.T., Eitel, J.U., and Long, D.S. Remote sensing of leaf chlorophyll content using a visible waveband index. Agronomy Journal 103:1090-1099. 2011.

Wang, L., Hunt, E.R., Jr. , Qu, J.J., Hao, X., and Daughtry, C.S.T. Estimating dry matter content of fresh leaves from the residuals between leaf and water reflectance. Remote Sensing Letters 2:137-145. 2011.

Gish, T.J., Prueger, J.H., Daughtry, C.S.T., Kustas, W.P., McKee, L.G., Russ, A.L. Comparison of field-scale herbicide and runoff losses: An eight year field investigation. J. Environmental Quality 40:1432-1442. 2011.

Aguilar, J., Evans, R., and Daughtry, C. S. T. Performance assessment of the cellulose absorption index method for estimating crop residue cover. Journal of Soil and Water Conservation, 67: 202-210. 2012.

Aguilar, J., Evans, R., Vigil, M., and Daughtry, C. S. T. Spectral estimates of crop residue cover and density for standing and flat wheat stubble. Agronomy Journal, 104: 271-279. 2012.

Hunt, E. R., Doraiswamy, P. C., McMurtrey, J. E., Daughtry, C. S., Perry, E. M., and Akhmedov, B. . A visible band index for remote sensing leaf chlorophyll content at the canopy scale. International Journal of Applied Earth Observation and Geoinformation, 21:103-112. 2012.

Wang, L., Hunt, E. R., Qu, J. J., Hao, X., and Daughtry, C. S. T. Remote sensing of fuel moisture content from ratios of narrow-band vegetation water and dry-matter indices. Remote Sensing of Environment, 129, 103-110. 2013.

Selected Other Publications:

Chappelle, E. W., Daughtry, C. S. T., and McMurtrey III, J. E. Method and apparatus for discriminating materials exhibiting different fluorescent properties. U.S. Patent No. 5,412,219. 1995.

Daughtry, C. S. T., Hunt, E. R., and Doraiswamy, P. C. Assessing carbon dynamics in agriculture using remote sensing. pp.28-35. (also CD-ROM). In: International Symposium on Evaluation of Terrestrial Carbon Storage and Dynamics by In-situ and Remote Sensing Measurements, Gifu University, Gifu, Japan. 2002. (invited)

Johannsen, C. J. and Daughtry, C. S. T. Surface reference data collection. pp. 244-256 In T. A. Warner, M. D. Nellis, and G. M. Foody (eds.) The Sage Handbook of Remote Sensing. Sage Publications, Thousand Oaks, CA. 2009.

Daughtry, C. S. T., Beeson, P. C., Milak, S., Akhmedov, B., Hunt Jr. E. R., Sadeghi, A. M. and Tomer, M. D. Remote sensing of soil tillage intensity in a CEAP watershed in central Iowa, In: C. N. Medley, et al. (eds.), Research in the Watersheds: Observing, studying, and managing for change. U.S.G.S. Scientific Investigation Report 2011-5169, U.S. Geological Survey, Reston, VA. pp. 168-173. 2011.

Daughtry, C. S. T., Hunt Jr., E. R., Beeson, P. C., Lang, M. W., Serbin, G., Alfieri, J. G. McCarty, G. W., Sadeghi, A. M. Remote sensing of soil carbon and greenhouse gas dynamics across agricultural landscapes. In: M. A. Liebig, A. Franzluebers, R. F. Follett, (eds) Managing Agricultural Greenhouse Gases: Coordinated Agricultural research through GRACEnet to Address our Changing Climate. pp. 385-408. Academic Press, Amsterdam. 2012 doi:10.1016/B978-0-12-386897-8.00022-x



logo for the Hydrology and Remote Sensing Laboratory