Comparison of methods for field scale mapping of plant water status using aerial thermal imagery
作者： Y. Saranga , V. Alchanatis , Y. Cohen , A. Levi , O. Rosenberg
DOI: 10.3920/978-90-8686-778-3_21
关键词:
摘要: In previous studies, a model for assessing leaf water potential (LWP) in cotton plants based on Crop Water Stress Index (CWSI) calculated using ground thermal imagery and artificial wet reference (AWR), as the minimum temperature, was developed validated. The AWR cannot be measured from aerial images order to implement this approach, it is essential characterize boundary temperature evaluate validity of CWSI-LWP relationship. Four types references were examined: artificial, theoretical, plant virtual. Three acquired above field. best relationship found between LWP virtual reference: high correlation 1:1 fit. This means that reliable map field can created only an image air temperature. Using LWP-CWSI relationship, mapped each pixel or area interest such irrigation section pre-defined management zone.
springer.com
sci-hub.st 参考文章(11)
J. Tsipris, M. Meron, A. Werner, J. Stafford, D. Charitt, Remote mapping of crop water status to assess spatial variability of crop stress. Precision agriculture: Papers from the 4th European Conference on Precision Agriculture, Berlin, Germany, 15-19 June 2003.. pp. 405- 410 ,(2003)
Alon Ben-Gal, Nurit Agam, Victor Alchanatis, Yafit Cohen, Uri Yermiyahu, Isaac Zipori, Eugene Presnov, Michael Sprintsin, Arnon Dag, Evaluating water stress in irrigated olives: correlation of soil water status, tree water status, and thermal imagery Irrigation Science. ,vol. 27, pp. 367- 376 ,(2009) , 10.1007/S00271-009-0150-7
M. Meron, D.W. Grimes, C.J. Phene, K.R. Davis, Pressure chamber procedures for leaf water potential measurements of cotton Irrigation Science. ,vol. 8, pp. 215- 222 ,(1987) , 10.1007/BF00259382
V. Alchanatis, Y. Cohen, S. Cohen, M. Moller, M. Sprinstin, M. Meron, J. Tsipris, Y. Saranga, E. Sela, Evaluation of different approaches for estimating and mapping crop water status in cotton with thermal imaging Precision Agriculture. ,vol. 11, pp. 27- 41 ,(2010) , 10.1007/S11119-009-9111-7
S.B. Idso, R.D. Jackson, P.J. Pinter, R.J. Reginato, J.L. Hatfield, Normalizing the stress-degree-day parameter for environmental variability Agricultural Meteorology. ,vol. 24, pp. 45- 55 ,(1981) , 10.1016/0002-1571(81)90032-7
M. Fuchs, Infrared measurement of canopy temperature and detection of plant water stress Theoretical and Applied Climatology. ,vol. 42, pp. 253- 261 ,(1990) , 10.1007/BF00865986
Kyle H. Holland, James S. Schepers, Use of a virtual-reference concept to interpret active crop canopy sensor data Precision Agriculture. ,vol. 14, pp. 71- 85 ,(2013) , 10.1007/S11119-012-9301-6
M Moller, V Alchanatis, Y Cohen, M Meron, J Tsipris, A Naor, V Ostrovsky, M Sprintsin, S Cohen, Use of thermal and visible imagery for estimating crop water status of irrigated grapevine Journal of Experimental Botany. ,vol. 58, pp. 827- 838 ,(2006) , 10.1093/JXB/ERL115
Hamlyn G Jones, Use of infrared thermometry for estimation of stomatal conductance as a possible aid to irrigation scheduling Agricultural and Forest Meteorology. ,vol. 95, pp. 139- 149 ,(1999) , 10.1016/S0168-1923(99)00030-1
M. Meron, J. Tsipris, Valerie Orlov, V. Alchanatis, Yafit Cohen, Crop water stress mapping for site-specific irrigation by thermal imagery and artificial reference surfaces Precision Agriculture. ,vol. 11, pp. 148- 162 ,(2010) , 10.1007/S11119-009-9153-X