Selecting appropriate variables for detecting grassland to cropland changes using high resolution satellite data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F18%3A76827" target="_blank" >RIV/60460709:41330/18:76827 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11310/18:10382092

Result on the web

<a href="http://dx.doi.org/10.7717/peerj.5487" target="_blank" >http://dx.doi.org/10.7717/peerj.5487</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7717/peerj.5487" target="_blank" >10.7717/peerj.5487</a>

Result language

angličtina

Original language name

Selecting appropriate variables for detecting grassland to cropland changes using high resolution satellite data

Original language description

Grassland is one of the most represented, while at the same time, ecologically endangered, land cover categories in the European Union. In view of the global climate change, detecting its change is growing in importance from both an environmental and a socio-economic point of view. A well-recognised tool for Land Use and Land Cover (LULC) Change Detection (CD), including grassland changes, is Remote Sensing (RS). An important aspect affecting the accuracy of change detection is finding the optimal indicators of LULC changes (i.e., variables). Inappropriately selected variables can produce inaccurate results burdened with a number of uncertainties. The aim of our study is to find the most suitable variables for the detection of grassland to cropland change, based on a pair of high resolution images acquired by the Landsat 8 satellite and from the vector database Land Parcel Identification System (LPIS). In total, 59 variables were used to create models using Generalised Linear Models (GLM), the qualit

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

20705 - Remote sensing

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

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

Name of the periodical

PeerJ

ISSN

2167-8359

e-ISSN

2167-8359

Volume of the periodical

6

Issue of the periodical within the volume

e5487

Country of publishing house

GB - UNITED KINGDOM

Number of pages

20

Pages from-to

1-20

UT code for WoS article

000444048000001

EID of the result in the Scopus database

2-s2.0-85052879894