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Title: A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficient
Contributor(s): Alam, Muhammad Shahinur (author); Lamb, David  (author); Rahman, Moshiur M  (author)orcid 
Publication Date: 2018
DOI: 10.1016/j.compag.2018.02.008
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Abstract: The estimation of actual crop evapotranspiration (ETc) from any given land cover or crop type is important for irrigation water management and agricultural water consumption analysis. The main parameter used for such estimations is the crop coefficient (Kc). Spectral reflectance indices, such as the normalized difference vegetation index (NDVI) and the crop coefficient of a specific crop or pasture canopy are important indicators of 'vigour', namely the photosynthetic activity and rate of biomass accumulation. Measuring both parameters simultaneously, with a view to understanding how they interact, or for creating optical, surrogate indicators of Kc is very difficult because Kc itself is difficult to measure. In this study a portable enclosed chamber was used to measure ETc of a pasture and subsequently calculated Kc from reference evapotranspiration (ETo) data derived from a nearby automatic weather station (AWS). Calibration of the chamber confirms the suitability of the device to measure the amount of water vapour produced by local plant evapotranspiration, producing a calibration factor (C) close to 1 (C=1.02, R2=0.87). The coincident NDVI values were measured using a portable active optical sensor. In a test involving a pasture (Festuca arundinacea var. Dovey) at two different stages of growth in two consecutive growing seasons, the NDVI and crop coefficients were observed to be strongly correlated (R2=0.80 and 0.77, respectively). A polynomial regression (R2=0.84) was found to be the best fit for the combined, multi-temporal Kc-NDVI relationship. The main advantages of this method include the suitability of operating at a smaller scale (<1 m2), in real time and repeatability.
Publication Type: Journal Article
Source of Publication: Computers and Electronics in Agriculture, v.147, p. 12-17
Publisher: Elsevier BV
Place of Publication: Netherlands
ISSN: 1872-7107
Field of Research (FOR): 070107 Farming Systems Research
070399 Crop and Pasture Production not elsewhere classified
070304 Crop and Pasture Biomass and Bioproducts
Socio-Economic Outcome Codes: 960905 Farmland, Arable Cropland and Permanent Cropland Water Management
830499 Pasture, Browse and Fodder Crops not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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Appears in Collections:Journal Article
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