Please use this identifier to cite or link to this item:
|Title:||Mapping potato crop height and leaf area index through vegetation indices using remote sensing in Cyprus||Authors:||Hadjimitsis, Diofantos G.
|Major Field of Science:||Engineering and Technology||Field Category:||Environmental Engineering||Keywords:||Crop Height;Field spectroscopy;Leaf area index;Modeling;Spectral vegetation indices||Issue Date:||2011||Source:||Journal of Applied Remote Sensing, 2011, vol. 5 , no. 1||Volume:||5||Issue:||1||Journal:||Journal of Applied Remote Sensing||Abstract:||This paper aims to model leaf area index (LAI) and crop height to spectral vegetation indices (VI), such as normalized difference vegetation index (NDVI) and soil adjusted vegetation index (SAVI), and weighted difference vegetation index (WDVI). The intended purpose is to create empirical statistical models to support evapotranspiration algorithms applied under the current conditions in the island of Cyprus. Indeed, a traditionally agricultural area was selected in the Mandria Village in the Paphos District area in Cyprus, where one of the island's main exported crops, potatoes, are cultivated. A GER-1500 field spectroradiometer was used in this study in order to retrieve the necessary spectrum data of the different crops for estimating the VI’s. A field campaign was undertaken with spectral measurements of LAI and crop height using the Sun-Scan canopy analyzer, acquired simultaneously with the spectroradiometric measurements between March and April of 2008 and 2009. Regarding the measurements, the phenological cycle of potatoes was followed. Several regression models have been applied to relate LAI/crop height and the three indices. It was found that the best fitted vegetation index to both LAI and crop height was WDVI. When LAI was regressed against WDVI for potatoes, the determination coefficient (R2) was 0.72, while for crop height R2 reached 0.78. Two Landsat TM-5 images acquired simultaneously during the spectroradiometric and LAI and crop height measurements are used to validate the proposed regression model. From the whole analysis it was found that the modeled results are very close to real values. This fact enables the specific empirical models to be used in the future for hydrological purposes.||ISSN:||1931-3195||DOI:||10.1117/1.3596388||Rights:||© SPIE||Type:||Article||Affiliation :||Cyprus University of Technology
Agricultural Research Institute of Cyprus
Meteorological Service of Cyprus
|Appears in Collections:||Άρθρα/Articles|
checked on Aug 31, 2020
WEB OF SCIENCETM
checked on Oct 18, 2020
Page view(s) 5304
checked on Oct 25, 2020
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.