<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="Li-2018-Coherence">
    <titleInfo>
        <title>Coherence of Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for monitoring spatiotemporal variations of river ice covers</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Zhaoqin</namePart>
        <namePart type="family">Li</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Karl–Erich</namePart>
        <namePart type="family">Lindenschmidt</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <genre authority="bibutilsgt">journal article</genre>
    <relatedItem type="host">
        <titleInfo>
            <title>Canadian Journal of Remote Sensing, Volume 44, Issue 1</title>
        </titleInfo>
        <originInfo>
            <issuance>continuing</issuance>
            <publisher>Informa UK Limited</publisher>
        </originInfo>
        <genre authority="marcgt">periodical</genre>
        <genre authority="bibutilsgt">academic journal</genre>
    </relatedItem>
    <abstract>Monitoring spatiotemporal variations of river ice covers is critical for selecting safe ice transportation routes. The coherence of synthetic aperture radar (SAR) interferometry (InSAR) conveys imp...</abstract>
    <identifier type="citekey">Li-2018-Coherence</identifier>
    <identifier type="doi">10.1080/07038992.2018.1419424</identifier>
    <location>
        <url>https://gwf-uwaterloo.github.io/gwf-publications/G18-70001</url>
    </location>
    <part>
        <date>2018</date>
        <detail type="volume"><number>44</number></detail>
        <detail type="issue"><number>1</number></detail>
        <extent unit="page">
            <start>11</start>
            <end>25</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Journal Article
%T Coherence of Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for monitoring spatiotemporal variations of river ice covers
%A Li, Zhaoqin
%A Lindenschmidt, Karl–Erich
%J Canadian Journal of Remote Sensing, Volume 44, Issue 1
%D 2018
%V 44
%N 1
%I Informa UK Limited
%F Li-2018-Coherence
%X Monitoring spatiotemporal variations of river ice covers is critical for selecting safe ice transportation routes. The coherence of synthetic aperture radar (SAR) interferometry (InSAR) conveys imp...
%R 10.1080/07038992.2018.1419424
%U https://gwf-uwaterloo.github.io/gwf-publications/G18-70001
%U https://doi.org/10.1080/07038992.2018.1419424
%P 11-25

Markdown (Informal)

[Coherence of Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for monitoring spatiotemporal variations of river ice covers](https://gwf-uwaterloo.github.io/gwf-publications/G18-70001) (Li & Lindenschmidt, GWF 2018)

• Coherence of Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for monitoring spatiotemporal variations of river ice covers (Li & Lindenschmidt, GWF 2018)

ACL

• Zhaoqin Li and Karl–Erich Lindenschmidt. 2018. Coherence of Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for monitoring spatiotemporal variations of river ice covers. Canadian Journal of Remote Sensing, Volume 44, Issue 1, 44(1):11–25.