TY - JOUR
T1 - Development and validation of canopy reflectance-based crop coefficient for potato
AU - Jayanthi, Harikishan
AU - Neale, Christopher M.U.
AU - Wright, James L.
N1 - Funding Information:
This research was partially supported by the Utah Agriculture Experiment Station, the Idaho National Environmental Engineering Laboratory (INEEL), USDA-ARS, Kimberly, Idaho, and Remote Sensing Services Laboratory of Biological and Irrigation Engineering Department, Utah State University, Logan. Utah.
PY - 2007/3/16
Y1 - 2007/3/16
N2 - The present paper describes the development and validation of canopy reflectance-based crop coefficients for potato using canopy reflectance (measured using hand-held radiometers and high resolution multispectral digital imagery), and extensive crop biophysical sampling in selected potato growing fields in and around Kimberly, Idaho, during 1998 and 1999 seasons. Daily crop evapotranspiration was estimated using basal and canopy reflectance-based crop coefficients, and a hydrologic water balance was conducted in the plant root zone. Independent measurements of actual soil moisture measurements were made by neutron probe and gravimetric methods, and used to validate the simulated results. The results validate the reflectance-based crop coefficient method. High resolution multispectral aerial imagery was used to highlight the spatial variability of actual crop water demand in the study fields.
AB - The present paper describes the development and validation of canopy reflectance-based crop coefficients for potato using canopy reflectance (measured using hand-held radiometers and high resolution multispectral digital imagery), and extensive crop biophysical sampling in selected potato growing fields in and around Kimberly, Idaho, during 1998 and 1999 seasons. Daily crop evapotranspiration was estimated using basal and canopy reflectance-based crop coefficients, and a hydrologic water balance was conducted in the plant root zone. Independent measurements of actual soil moisture measurements were made by neutron probe and gravimetric methods, and used to validate the simulated results. The results validate the reflectance-based crop coefficient method. High resolution multispectral aerial imagery was used to highlight the spatial variability of actual crop water demand in the study fields.
KW - Basal crop coefficients
KW - Canopy reflectance-based crop coefficients
KW - Crop evapotranspiration
KW - Neutron probe
KW - SAVI
KW - Soil water content
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U2 - 10.1016/j.agwat.2006.10.020
DO - 10.1016/j.agwat.2006.10.020
M3 - Article
AN - SCOPUS:33846263587
SN - 0378-3774
VL - 88
SP - 235
EP - 246
JO - Agricultural Water Management
JF - Agricultural Water Management
IS - 1-3
ER -