as of Apr 2014



Johnson, L., M. Cahn, F. Martin, F. Melton, C. Lund, B. Farrara, and S. Benzen, 2014. Results from 2012-13 irrigation trials in cool-season vegetables. Proceedings, U.S. Committee on Irrigation & Drainage, Water Management Conference, 4-7 March, Sacramento.

Cahn, M., R. Smith, T. Hartz, B. Farrara, L. Johnson, and F. Melton, 2014. Irrigation and nitrogen management decision support tool for cool season vegetables and berries. Proceedings, USCID Water Management Conference, 4-7 March, Sacramento.

Wu, Z, P. Thenkabail, R. Mueller, A. Zakzeski, F. Melton, L. Johnson, C. Rosevelt, J. Dwyer, J. Jones, and J. Verdin, 2014. Seasonal cropland mapping using the Automated Cropland Classification Algorithm, J. Applied Rem. Sens. 8(1):083685.

Johnson, L., M. Cahn, F. Martin, F. Melton, C. Lund, B. Farrara, and S. Benzen, 2013. New tools for ET estimation and irrigation management in specialty crops. Proceedings, ASABE Annual Int'l Meeting, Paper #131595001, 21-24 July, Kansas City.

Weber, E., L. Bettiga, L. Johnson, M. Battanyi, 2013. Remote sensing for vineyard pest management. Chapter 6 in Grape Pest Management Manual, 3rd edition, (L. Bettiga, Ed.), UC-ANR Publication #3343, UC Regents, Richmond, CA (ISBN: 978-1-600107-800-1).

Melton, F., L. Johnson, C. Lund, L. Pierce, A. Michaelis, S. Hiatt, A. Guzman, D. Adhikari, A. Purdy, C. Rosevelt, P. Votava, T. Trout, B. Temsegen, K. Frame, E. Sheffner, and R. Nemani, 2012. Satellite irrigation management support with the Terrestrial Observation and Prediction System, IEEE J. Selected Topics in Applied Earth Observations & Remote Sensing 5(6):1709-1721.

Johnson, L. and T. Trout. Satellite-assisted monitoring of vegetable crop evapotranspiration in California's San Joaquin Valley, 2012. Remote Sensing 4:439-55, doi:10.3390/rs4020439.

Johnson, L., R. Nemani, J. Hornbuckle, W. Bastiaanssen, B. Thoreson, B. Tisseyre, and L. Pierce, 2012. Remote sensing for viticultural research and production. In: Wine Geography (P. Dougherty, Ed.), Springer Science, The Netherlands (ISBN 978-94-007-0463-3).

Johnson, L. et al., 2010. Information technology supports integration of satellite imagery with irrigation management. Proceedings, 5th National Decennial Irrigation Conf., Paper No. IRR10-9645, ASABE Publ. 711P0810cd.

Pierce,L., R. Nemani, A. Michaelis, and L. Johnson, 2010. Enhancing vineyard water use efficiency. Water Efficiency Journal, May/June.

Trout, T., L. Johnson, and J. Gartung, 2008. Remote sensing of canopy cover in horticultural crops. HortScience 43(2):333-337.

Furfaro, R., D. Ganapol, L. Johnson, and S. Herwitz, 2007. Neural network algorithm for coffee ripeness evaluation using airborne images. Applied Engineering in Agriculture 23:379-387.

Nemani, R., P. Votava, A. Michaelis, M. White, F. Melton, J. Coughlan, K. Golden, H. Hashimoto, K, Ichii, L. Johnson, M. Jolly, C. Milesi, R. Myneni, L. Pierce, S. Running, C. Tague, and W. Pang, 2007. Remote sensing methodologies for ecosystem management. Chapter 1 in Food and Water Security, U. Aswathanarayana, Ed., Taylor & Francis (ISBN 0415440181).

Nemani, R., L. Johnson, M. White, 2006. Application of Remote Sensing and Ecosystem Modeling in Vineyard Management, Chapter 15 in Handbook of Precision Agriculture: Principles and Applications, A. Srinivasan, Ed., The Haworth Press, Binghamton NY (ISBN 1560229551).

Johnson, L. and T. Scholasch, 2005. Remote sensing of shaded area in vineyards. HortTechnology 15:859-863.

Johnson, L., S. Herwitz, B. Lobitz, and S. Dunagan, 2004. Feasibility of monitoring coffee field ripeness with airborne multispectral imagery. Applied Engineering in Agriculture 20:845-849.

Johnson, L. and L. Pierce, 2004. Indirect measurement of leaf area index in California North Coast vineyards, HortScience 39:236-238.

Herwitz, S., L. Johnson, S. Dunagan, et al., 2004. Demonstration of UAV-based imaging for agricultural surveillance and decision support. Computers and Electronics in Agriculture 44:49-61.

Johnson, L., 2003. Temporal stability of the NDVI-LAI relationship in a Napa Valley vineyard, Australian J. Grape & Wine Research 9:96-101.

Johnson, L., D. Roczen, S. Youkhana, R. Nemani, and D. Bosch, 2003. Mapping vineyard leaf area with multispectral satellite imagery, Computers & Electronics in Agriculture 38(1):37-48.

Johnson, L., D. Bosch, D. Williams, and B. Lobitz, 2001. Remote sensing of vineyard management zones: implications for wine quality, Applied Engineering in Agriculture 17:557-560.

Johnson, L., 2001. Nitrogen influence on fresh-leaf NIR spectra. Remote Sensing of Environment 78:312-318.

Hammer, P., L. Johnson, et al., 2001. Surface reflectance mapping using interferometric spectral imagery from a remotely piloted aircraft, IEEE/Transactions Geoscience & Remote Sensing, 39:2499-2506.

Peterson, D. and L. Johnson, 2000. The application of Earth science findings to the practical problems of growing winegrapes. Geographic Information Sciences 6:181-187.

Ganapol, B., L. Johnson, C. Hlavka, D. Peterson and B. Bond, 1999. A coupled leaf/canopy radiative transfer model. Remote Sensing of Environment 70:153-166.

Ganapol, B., L. Johnson, P. Hammer, C. Hlavka, and D. Peterson, 1998. LEAFMOD: A new within-leaf radiative transfer model. Remote Sensing of Environment 63:182-193.

Hlavka, C., D. Peterson, L. Johnson, and B. Ganapol, 1997. Analysis of forest foliage using a multivariate mixture model. J. Near Infrared Spectroscopy5:167-173.

Baldy, R., J. DeBenedictis, L. Johnson, E. Weber, M. Baldy, and J. Burleigh, 1996. Relating chlorophyll and vine size to yields in a phylloxera infested vineyard. Vitis 35:201-205.

Johnson, L.F., B. Lobitz, R. Armstrong, R. Baldy, E. Weber, J. DeBenedictis, and D. Bosch, 1996. Airborne imaging aids vineyard canopy evaluation. California Agriculture 50/4:14-18.

Johnson, L.F. and C.R. Billow, 1996. Spectrometric estimation of total nitrogen concentration in Douglas-fir foliage. International Journal of Remote Sensing 17:489-500.

Dungan, J.L., L.F. Johnson, C.R. Billow, J. Mazzurco, J. Moen, P.A. Matson, and V. C. Vanderbilt, 1996. High spectral resolution reflectance of Douglas fir grown under differing fertilization treatments: Experiment design and treatment effects. Remote Sensing of Environment 55:217-228.

Johnson, L.F., C.A. Hlavka, and D.L. Peterson, 1994. Multivariate Analysis of AVIRIS data for canopy biochemical estimation along the Oregon Transect, Remote Sensing of Environment 47:216-230.

Johnson, L.F., 1994. Multiple view zenith angle observations of reflectance from ponderosa pine stands, International Journal of Remote Sensing 15:3859-3865.

Matson, P.A., L.F. Johnson, J.R. Miller, C.R. Billow, and R. Pu, 1994. Seasonal changes in canopy chemistry across the Oregon Transect: patterns and spectral measurement with remote sensing, Ecological Applications 4:280-298.

Spanner, M.A., L.F. Johnson, J.R. Miller, R.W. McCreight, J. Runyon, and P. Gong, 1994. Remote sensing of seasonal leaf area index across the Oregon Transect, Ecological Applications 4:258-271.

Bryant, N.A., L.F. Johnson, A.J. Brazel, R.C. Balling, C.F. Hutchinson, and L.R. Beck, 1990. Measuring the effect of overgrazing in the Sonoran Desert, Climatic Change 17:243-264.

McGuffie, B.A., L.F. Johnson, R.E. Alley, and H. R. Lang, 1989. IGIS - Computer aided photogeologic mapping with image processing, graphics, and CAD/CAM capabilities, GeoByte 5:8-14.



Herwitz,S., S. Dunagan, D. Sullivan, R. Slye, J. Leung, and L. Johnson, 2006. Wireless command-and-control of airborne imaging LANs. NASA Technical Memorandum #2006-213479

Johnson, L.F., 1999. Response of grape leaf spectra to phylloxera infestation. NASA Report #CR208765.

Lobitz, B., L. Johnson, C. Hlavka, R. Armstrong, and C. Bell, 1997. Grapevine remote sensing analysis of phylloxera early stress (GRAPES): remote sensing anslysis summary, NASA Technical Memorandum #112218.

Aber, J. et al., 1994. Accelerated Canopy Chemistry Program, Final Report to NASA-EOS Interdisciplinary Working Group, 19 October, 33 pp.

Johnson, L., 1982. Atmospheric effects on satellite augmentation of the USDA June Enumerative Survey: a radar/Landsat comparison. UCSB Main Library, Science & Engineering Section, Call Number G76.5.U5 S25, 52 pp. (Master's Thesis)

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