Monitoring of winter wheat growth in categories of frost damage and production potential using SAR and optical images**

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F25%3A106067" target="_blank" >RIV/60460709:41310/25:106067 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.31545/intagr/195732" target="_blank" >https://doi.org/10.31545/intagr/195732</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.31545/intagr/195732" target="_blank" >10.31545/intagr/195732</a>

Result language

angličtina

Original language name

Monitoring of winter wheat growth in categories of frost damage and production potential using SAR and optical images**

Original language description

Remote sensing plays an increasingly important role in agriculture, especially in monitoring the quality of agricultural crops. Optical sensing is often limited in Central Europe due to cloud cover; therefore, synthetic aperture radar data is increasingly being used. However, synthetic aperture radar data is limited by more difficult interpretation mainly due to the influence of speckles. For this reason, its use is often limited to larger territorial units and field blocks. The main aim of this study therefore was to verify the possibility of using satellite synthetic aperture radar images to assess the within-field variability of winter wheat. The lowest radar vegetation index values corresponded to the area of the lowest production potential and the greatest damage to the stand. Also for VH and VV polarizations, the highest values corresponded to the area of the lowest stand quality. Qualitative changes in the stand across the zones defined by frost damage and production potential were assessed with the help of the logistic regression model with resampled data for 10, 50, and 100 m pixel size. The best correlation coefficients were achieved at a spatial resolution of 50 m for both options. The F-score still yielded a promising result ranging from 0.588 to 0.634 for frost damage categories. The regression model of the production potential performed slightly better in terms of the F-score, recall, and precision at higher resolutions. It was proved that modern statistical methods could be used to reduce problems associated with speckles of radar images for practical purposes.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Project

<a href="/en/project/QK22010014" target="_blank" >QK22010014: Freely available satellite images in the microwave part of the electromagnetic spectrum as a source of information for optimizing plant production</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Agrophysics

ISSN

0236-8722

e-ISSN

0236-8722

Volume of the periodical

39

Issue of the periodical within the volume

2025

Country of publishing house

PL - POLAND

Number of pages

13

Pages from-to

99-111

UT code for WoS article

001413113400001

EID of the result in the Scopus database

2-s2.0-86000101325