Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9735
Title: A simple method to estimate vegetation indices and crop canopy factors using field spectroscopy for solanum tuberosum during the whole phenological cycle
Authors: Perdikou, Skevi 
Papadavid, George 
Hadjimitsis, Michael 
Hadjimitsis, Diofantos G. 
Neofytou, N. 
metadata.dc.contributor.other: Παπαδαυίδ, Γιώργος
Χατζημιτσής, Διόφαντος
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Keywords: Crop Height;Field spectroscopy;Leaf Area Index;Modeling;Spectral vegetation indices
Issue Date: 1-Apr-2013
Source: 1st International Conference on Remote Sensing and Geoinformation of the Environment, RSCy 2013; Paphos; Cyprus; 8 April 2013 through 10 April 2013
DOI: 10.1117/12.2029099
Abstract: Field spectroscopy is a part of the remote sensing techniques and very important for studies in agriculture. A GER-1500 field spectro-radiometer was used in this study in order to retrieve the necessary spectrum data of the spring potatoes for estimating spectral vegetation indices (SVI's). A field campaign was undertaken from September to the end of November 2012 for the collection of spectro-radiometric measurements. The study area was in the Mandria Village in Paphos district in Cyprus. This paper demonstrates how crop canopy factors can be statistically related to remotely sensed data, namely vegetation indices. The paper is a part of an EU cofounded project regarding estimating crop water requirements using remote sensing techniques and informing the farmers through 3G smart telephony.
URI: https://hdl.handle.net/20.500.14279/9735
ISBN: 978-081949638-6
Rights: © 2013 SPIE.
Type: Conference Papers
Affiliation : Frederick Research Center 
Agricultural Research Institute of Cyprus 
M. Hadjimitsis Trading and Engineering Ltd 
Cyprus University of Technology 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Show full item record

Page view(s) 50

404
Last Week
0
Last month
6
checked on Nov 6, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.