Home Archiveaaa News Contact
PDF download
Cite article
Share options
Informations, rights and permissions
Issue image
Vol 14, Issue 1, 2020
Pages: 0 - 0
Review paper
Architecture
See full issue

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 

Metrics and citations
Abstract views: 89
PDF Downloads: 48
Google scholar: See link
Article content
  1. Abstract
  2. Disclaimer
Published: 01.12.2019. Review paper Architecture

ANALYSIS OF THE INFLUENCE OF CLIMATE FACTORS ON DIFFERENT CROPS USING MULTIVARIABLE ANALYSIS AND REMOTELY SENSED DATA

By
Bojan Popović ,
Bojan Popović
Igor Ruskovski ,
Igor Ruskovski
Stevan Milovanov ,
Stevan Milovanov
Miro Govedarica ,
Miro Govedarica
Dušan Jovanović
Dušan Jovanović
Abstract

Phenology modeling of the most common agricultural cultures based on time series of high spatialresolution satellite imagery and vegetation indices was conducted for several crop types. This datawas used as an indicator of crops state in the multivariable correlation model as dependent variables.The influence of climate factors (temperature, air pressure, precipitation, insolation, cloudiness andhumidity) on crops state was determined using multivariable correlation. This model allowsprediction of delayed influence of climate factors on plant health and state through the values ofNDVI.

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.