Evaluating the reliability of bi-temporal canopy height model generated from airborne laser scanning for monitoring forest growth in boreal forest region
The discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy height models to accurately discern actual forest growth. In this study, we evaluated the reliability of bi-temporal CHMs to characterize growth changes...
Saved in:
| Published in | International journal of digital earth Vol. 17; no. 1 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis
31.12.2024
Taylor & Francis Group |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | The discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy height models to accurately discern actual forest growth. In this study, we evaluated the reliability of bi-temporal CHMs to characterize growth changes in a boreal natural forest over a four-year period. A maximum mosaic method was introduced to construct a CHM from various flight strips, aimed at minimizing data alignment errors. Subsequently, the canopy height and height changed derived from six different height percentile metrics and five spatial resolutions were evaluated. The results showed that higher resolution (e.g., < 2 m) and lower height metrics (e.g., 85th height percentile) consistently underestimated. Tree growth correlation with individual segmentation surpassed field-measurements at all resolutions and height metrics. for the optimal resolution and height metrics, the results suggest that using a 95th height percentile the 10 m scale effectively represents both canopy height (
$R_{2012}^2$
R
2012
2
= 0.95,
$RMSE_{2012}$
RMS
E
2012
= 0.88 m,
$rRMSE_{2012}$
rRMS
E
2012
= 5.83%;
$R_{2016}^2$
R
2016
2
= 0.96,
$RMSE_{2016}$
RMS
E
2016
= 1.11 m,
$rRMSE_{2016}$
rRMS
E
2016
= 6.91%) and height changes (
$R^2$
R
2
= 0.59,
$RMSE$
RMSE
= 0.86 m,
$rRMSE$
rRMSE
= 18.38%). This study demonstrates the necessity of carefully evaluating data characteristics and resolutions when employing multi-temporal CHM for forest dynamics monitoring. |
|---|---|
| AbstractList | The discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy height models to accurately discern actual forest growth. In this study, we evaluated the reliability of bi-temporal CHMs to characterize growth changes in a boreal natural forest over a four-year period. A maximum mosaic method was introduced to construct a CHM from various flight strips, aimed at minimizing data alignment errors. Subsequently, the canopy height and height changed derived from six different height percentile metrics and five spatial resolutions were evaluated. The results showed that higher resolution (e.g., < 2 m) and lower height metrics (e.g., 85th height percentile) consistently underestimated. Tree growth correlation with individual segmentation surpassed field-measurements at all resolutions and height metrics. for the optimal resolution and height metrics, the results suggest that using a 95th height percentile the 10 m scale effectively represents both canopy height (
$R_{2012}^2$
R
2012
2
= 0.95,
$RMSE_{2012}$
RMS
E
2012
= 0.88 m,
$rRMSE_{2012}$
rRMS
E
2012
= 5.83%;
$R_{2016}^2$
R
2016
2
= 0.96,
$RMSE_{2016}$
RMS
E
2016
= 1.11 m,
$rRMSE_{2016}$
rRMS
E
2016
= 6.91%) and height changes (
$R^2$
R
2
= 0.59,
$RMSE$
RMSE
= 0.86 m,
$rRMSE$
rRMSE
= 18.38%). This study demonstrates the necessity of carefully evaluating data characteristics and resolutions when employing multi-temporal CHM for forest dynamics monitoring. ABSTRACTThe discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy height models to accurately discern actual forest growth. In this study, we evaluated the reliability of bi-temporal CHMs to characterize growth changes in a boreal natural forest over a four-year period. A maximum mosaic method was introduced to construct a CHM from various flight strips, aimed at minimizing data alignment errors. Subsequently, the canopy height and height changed derived from six different height percentile metrics and five spatial resolutions were evaluated. The results showed that higher resolution (e.g., < 2 m) and lower height metrics (e.g., 85th height percentile) consistently underestimated. Tree growth correlation with individual segmentation surpassed field-measurements at all resolutions and height metrics. for the optimal resolution and height metrics, the results suggest that using a 95th height percentile the 10 m scale effectively represents both canopy height ([Formula: see text] = 0.95, [Formula: see text] = 0.88 m, [Formula: see text] = 5.83%; [Formula: see text] = 0.96, [Formula: see text] = 1.11 m, [Formula: see text] = 6.91%) and height changes ([Formula: see text] = 0.59, [Formula: see text] = 0.86 m, [Formula: see text] = 18.38%). This study demonstrates the necessity of carefully evaluating data characteristics and resolutions when employing multi-temporal CHM for forest dynamics monitoring. |
| Author | Qi, Jianbo Huang, Huaguo Yu, Zhexiu Zhao, Xun |
| Author_xml | – sequence: 1 givenname: Zhexiu surname: Yu fullname: Yu, Zhexiu organization: Beijing Forestry University – sequence: 2 givenname: Jianbo surname: Qi fullname: Qi, Jianbo email: jianboqi@bnu.edu.cn organization: Beijing Normal University – sequence: 3 givenname: Xun surname: Zhao fullname: Zhao, Xun organization: Beijing Forestry University – sequence: 4 givenname: Huaguo surname: Huang fullname: Huang, Huaguo email: huaguo_huang@bjfu.edu.cn organization: Beijing Forestry University |
| BookMark | eNqFkc9q3DAQh0VJoEmaRyjoBby19cey6aUlpEkg0Et7FiN57FWQpWWsNuyj9G3rzW5z6KE9afSD7xuY3yU7SzkhY--betPUXf2hMVp2vTIbUQu1EVJpI_QbdnHIq67X-ux1VuYtu1yWp7pua6XkBft1-xPiDyghTbxskRPGAC7EUPY8j9yFquC8ywSRe0h5t-dbDNO28DkPGPmECQkKDnykPHMI5DIl5BEWJL6sSDqYx0wrkELJdPriUvhE-blseUh8hXDdcMoJp5DTO3Y-Qlzw-vRese9fbr_d3FePX-8ebj4_Vl4JWarWYdMb4UZtoEVvGqlROwWD6VRrfK9aKQUoJUSrhJa97qXTzngJXhszNvKKPRy9Q4Ynu6MwA-1thmBfgkyTBSrBR7Ru9bdgAAehlawb0AhoBie0051rxerSR5envCyE46uvqe2hK_unK3voyp66WrmPf3E-lLWUnApBiP-lPx3pkNYLzvCcKQ62wD5mGgmSD4uV_1b8BhXistQ |
| CitedBy_id | crossref_primary_10_1016_j_rse_2024_114264 crossref_primary_10_3390_rs17060966 |
| Cites_doi | 10.1016/j.rse.2020.112061 10.1016/j.rse.2023.113888 10.14358/PERS.72.12.1339 10.1016/j.rse.2017.09.027 10.1016/j.foreco.2017.09.039 10.1016/j.atmosenv.2018.10.045 10.1007/s40725-015-0020-x 10.1007/978-94-017-8663-8 10.1080/01431161.2020.1811917 10.1109/JSTARS.2021.3051081 10.1016/j.jenvman.2022.114862 10.1016/j.agrformet.2023.109519 10.1139/cjfr-2022-0055 10.1071/WF21167 10.1016/j.jenvman.2021.112739 10.14358/PERS.70.5.589 10.1080/22797254.2024.2315413 10.1016/j.rse.2022.113302 10.3390/rs11070863 10.1016/j.rse.2017.09.007 10.1016/j.rse.2021.112464 10.1111/gcb.12588 10.1016/j.foreco.2023.121528 10.3390/rs2061481 10.1111/2041-210X.12575 10.1186/s40663-015-0044-5 10.1007/s11676-021-01303-1 10.1007/s12145-019-00380-5 10.1080/07038992.2016.1207484 10.14358/PERS.80.9.863 10.3390/rs8060501 10.3390/rs10060970 10.1016/j.rse.2004.02.001 10.4324/9781351233354 10.1016/S0378-1127(01)00737-X 10.1016/j.isprsjprs.2017.12.004 10.3390/rs13193956 10.3390/rs4092595 10.3390/f13071142 10.1080/17538947.2021.1943018 10.1515/ceer-2016-0048 10.1016/j.fecs.2023.100135 10.11707/j.1001-7488.20180613 10.3390/rs13030353 10.1016/j.jag.2022.103117 10.1007/978-90-481-3170-9 10.1016/j.jag.2023.103281 10.1038/s41559-023-02206-6 10.11873/j.issn.1004-0323.2018.6.1159 10.1371/journal.pone.0137545 10.1016/j.isprsjprs.2018.12.006 10.1080/02827581.2015.1024733 10.3390/f9040177 10.1016/j.jag.2020.102129 10.3390/rs14030725 10.1016/j.rse.2016.03.012 10.1016/j.jclepro.2019.119715 10.1109/TGRS.2018.2794504 10.5194/isprs-archives-XLII-1-87-2018 10.3390/f13111828 10.1109/TGRS.2014.2331234 10.1016/j.rse.2019.02.018 10.1016/j.scitotenv.2017.06.219 10.1002/9781118902028 10.1016/j.foreco.2023.121553 10.3832/ifor2108-010 10.1016/j.isprsjprs.2023.01.005 10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2 |
| ContentType | Journal Article |
| Copyright | 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2024 |
| Copyright_xml | – notice: 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2024 |
| DBID | 0YH AAYXX CITATION DOA |
| DOI | 10.1080/17538947.2024.2345725 |
| DatabaseName | Open Access Journals from Taylor & Francis CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: 0YH name: Taylor & Francis Open Access url: https://www.tandfonline.com sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Environmental Sciences |
| EISSN | 1753-8955 |
| ExternalDocumentID | oai_doaj_org_article_bec76a7aed254301a5eae7db25b58b62 10_1080_17538947_2024_2345725 2345725 |
| Genre | Research Article |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 42192580; No.42130111 and No. 42001279 |
| GroupedDBID | .7F 0YH 30N 4.4 5GY AAHBH AAJMT ABCCY ABDBF ABFIM ABPEM ABTAI ACGFS ACIWK ACTIO ACUHS ADCVX ADMSI AEISY AENEX AEYOC AFKVX AFRAH AHDSZ AHDZW AIJEM AJWEG ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AVBZW BLEHA CCCUG CE4 CS3 DKSSO DU5 EBS ESX GROUPED_DOAJ GTTXZ HZ~ J~4 KYCEM LJTGL M4Z ML. O9- OK1 RIG SNACF TDBHL TFL TFT TFW TTHFI TWF TWN UU3 VAE AAYXX AIYEW CITATION DGEBU H13 |
| ID | FETCH-LOGICAL-c423t-6be1972bf57a6ec7135e5b4ad78467c946332a4422642539593b5b7c3ac577f13 |
| IEDL.DBID | DOA |
| ISSN | 1753-8947 |
| IngestDate | Wed Aug 27 01:20:48 EDT 2025 Tue Jul 01 01:05:59 EDT 2025 Thu Apr 24 22:58:10 EDT 2025 Wed Jan 22 07:59:36 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | open-access: http://creativecommons.org/licenses/by-nc/4.0/: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c423t-6be1972bf57a6ec7135e5b4ad78467c946332a4422642539593b5b7c3ac577f13 |
| OpenAccessLink | https://doaj.org/article/bec76a7aed254301a5eae7db25b58b62 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_bec76a7aed254301a5eae7db25b58b62 crossref_citationtrail_10_1080_17538947_2024_2345725 informaworld_taylorfrancis_310_1080_17538947_2024_2345725 crossref_primary_10_1080_17538947_2024_2345725 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2024-12-31 |
| PublicationDateYYYYMMDD | 2024-12-31 |
| PublicationDate_xml | – month: 12 year: 2024 text: 2024-12-31 day: 31 |
| PublicationDecade | 2020 |
| PublicationTitle | International journal of digital earth |
| PublicationYear | 2024 |
| Publisher | Taylor & Francis Taylor & Francis Group |
| Publisher_xml | – name: Taylor & Francis – name: Taylor & Francis Group |
| References | e_1_3_3_52_1 e_1_3_3_50_1 e_1_3_3_71_1 e_1_3_3_18_1 e_1_3_3_39_1 e_1_3_3_14_1 e_1_3_3_37_1 e_1_3_3_16_1 e_1_3_3_35_1 e_1_3_3_58_1 e_1_3_3_10_1 e_1_3_3_33_1 e_1_3_3_56_1 e_1_3_3_12_1 e_1_3_3_31_1 e_1_3_3_54_1 e_1_3_3_40_1 e_1_3_3_63_1 e_1_3_3_61_1 e_1_3_3_7_1 Qi Guang (e_1_3_3_46_1) 2013; 24 e_1_3_3_9_1 e_1_3_3_29_1 e_1_3_3_25_1 e_1_3_3_48_1 e_1_3_3_27_1 e_1_3_3_69_1 e_1_3_3_3_1 e_1_3_3_21_1 e_1_3_3_44_1 e_1_3_3_67_1 e_1_3_3_5_1 e_1_3_3_23_1 e_1_3_3_42_1 e_1_3_3_65_1 e_1_3_3_30_1 e_1_3_3_51_1 e_1_3_3_70_1 e_1_3_3_17_1 e_1_3_3_19_1 e_1_3_3_13_1 e_1_3_3_38_1 e_1_3_3_59_1 e_1_3_3_15_1 e_1_3_3_36_1 e_1_3_3_57_1 e_1_3_3_34_1 e_1_3_3_55_1 e_1_3_3_11_1 e_1_3_3_32_1 e_1_3_3_53_1 e_1_3_3_41_1 e_1_3_3_62_1 e_1_3_3_60_1 Guo Qinghua (e_1_3_3_20_1) 2023 e_1_3_3_6_1 e_1_3_3_8_1 e_1_3_3_28_1 e_1_3_3_24_1 e_1_3_3_49_1 e_1_3_3_26_1 e_1_3_3_47_1 e_1_3_3_68_1 e_1_3_3_2_1 e_1_3_3_45_1 e_1_3_3_66_1 e_1_3_3_4_1 e_1_3_3_22_1 e_1_3_3_43_1 e_1_3_3_64_1 |
| References_xml | – ident: e_1_3_3_26_1 doi: 10.1016/j.rse.2020.112061 – ident: e_1_3_3_56_1 doi: 10.1016/j.rse.2023.113888 – ident: e_1_3_3_62_1 doi: 10.14358/PERS.72.12.1339 – ident: e_1_3_3_15_1 doi: 10.1016/j.rse.2017.09.027 – ident: e_1_3_3_53_1 doi: 10.1016/j.foreco.2017.09.039 – ident: e_1_3_3_18_1 doi: 10.1016/j.atmosenv.2018.10.045 – ident: e_1_3_3_11_1 doi: 10.1007/s40725-015-0020-x – volume-title: LiDAR Principles, Processing and Applications in Forest Ecology year: 2023 ident: e_1_3_3_20_1 – ident: e_1_3_3_37_1 doi: 10.1007/978-94-017-8663-8 – ident: e_1_3_3_71_1 doi: 10.1080/01431161.2020.1811917 – ident: e_1_3_3_63_1 doi: 10.1109/JSTARS.2021.3051081 – ident: e_1_3_3_67_1 doi: 10.1016/j.jenvman.2022.114862 – ident: e_1_3_3_35_1 doi: 10.1016/j.agrformet.2023.109519 – ident: e_1_3_3_49_1 doi: 10.1139/cjfr-2022-0055 – ident: e_1_3_3_65_1 doi: 10.1071/WF21167 – ident: e_1_3_3_27_1 doi: 10.1016/j.jenvman.2021.112739 – ident: e_1_3_3_44_1 doi: 10.14358/PERS.70.5.589 – ident: e_1_3_3_19_1 doi: 10.1080/22797254.2024.2315413 – ident: e_1_3_3_43_1 doi: 10.1016/j.rse.2022.113302 – ident: e_1_3_3_16_1 doi: 10.3390/rs11070863 – ident: e_1_3_3_70_1 doi: 10.1016/j.rse.2017.09.007 – ident: e_1_3_3_2_1 doi: 10.1016/j.rse.2021.112464 – ident: e_1_3_3_66_1 doi: 10.1111/gcb.12588 – ident: e_1_3_3_22_1 doi: 10.1016/j.foreco.2023.121528 – ident: e_1_3_3_60_1 doi: 10.3390/rs2061481 – ident: e_1_3_3_12_1 doi: 10.1111/2041-210X.12575 – ident: e_1_3_3_25_1 doi: 10.1186/s40663-015-0044-5 – ident: e_1_3_3_33_1 doi: 10.1007/s11676-021-01303-1 – ident: e_1_3_3_3_1 doi: 10.1007/s12145-019-00380-5 – ident: e_1_3_3_57_1 doi: 10.1080/07038992.2016.1207484 – ident: e_1_3_3_29_1 doi: 10.14358/PERS.80.9.863 – ident: e_1_3_3_68_1 doi: 10.3390/rs8060501 – ident: e_1_3_3_48_1 doi: 10.3390/rs10060970 – ident: e_1_3_3_61_1 doi: 10.1016/j.rse.2004.02.001 – ident: e_1_3_3_14_1 doi: 10.4324/9781351233354 – ident: e_1_3_3_50_1 doi: 10.1016/S0378-1127(01)00737-X – ident: e_1_3_3_34_1 doi: 10.1016/j.isprsjprs.2017.12.004 – ident: e_1_3_3_23_1 doi: 10.3390/rs13193956 – ident: e_1_3_3_58_1 doi: 10.3390/rs4092595 – ident: e_1_3_3_32_1 doi: 10.3390/f13071142 – ident: e_1_3_3_42_1 doi: 10.1080/17538947.2021.1943018 – ident: e_1_3_3_5_1 doi: 10.1515/ceer-2016-0048 – ident: e_1_3_3_45_1 doi: 10.1016/j.fecs.2023.100135 – ident: e_1_3_3_59_1 doi: 10.11707/j.1001-7488.20180613 – ident: e_1_3_3_38_1 doi: 10.3390/rs13030353 – ident: e_1_3_3_4_1 doi: 10.1016/j.jag.2022.103117 – ident: e_1_3_3_6_1 doi: 10.1007/978-90-481-3170-9 – ident: e_1_3_3_17_1 doi: 10.1016/j.jag.2023.103281 – ident: e_1_3_3_30_1 doi: 10.1038/s41559-023-02206-6 – ident: e_1_3_3_54_1 doi: 10.11873/j.issn.1004-0323.2018.6.1159 – ident: e_1_3_3_55_1 doi: 10.1371/journal.pone.0137545 – ident: e_1_3_3_8_1 doi: 10.1016/j.isprsjprs.2018.12.006 – ident: e_1_3_3_41_1 doi: 10.1080/02827581.2015.1024733 – ident: e_1_3_3_64_1 doi: 10.3390/f9040177 – ident: e_1_3_3_52_1 doi: 10.1016/j.jag.2020.102129 – ident: e_1_3_3_51_1 doi: 10.3390/rs14030725 – ident: e_1_3_3_7_1 doi: 10.1016/j.rse.2016.03.012 – ident: e_1_3_3_47_1 doi: 10.1016/j.jclepro.2019.119715 – ident: e_1_3_3_24_1 doi: 10.1109/TGRS.2018.2794504 – ident: e_1_3_3_9_1 doi: 10.5194/isprs-archives-XLII-1-87-2018 – ident: e_1_3_3_36_1 doi: 10.3390/f13111828 – volume: 24 start-page: 10 issue: 1 year: 2013 ident: e_1_3_3_46_1 article-title: Soil Organic Carbon Storage in Different Aged Larix Gmelinii Plantations in Great Xing’ an Mountains of Northeast China publication-title: The Journal of Applied Ecology – ident: e_1_3_3_69_1 doi: 10.1109/TGRS.2014.2331234 – ident: e_1_3_3_13_1 doi: 10.1016/j.rse.2019.02.018 – ident: e_1_3_3_21_1 doi: 10.1016/j.scitotenv.2017.06.219 – ident: e_1_3_3_28_1 doi: 10.1002/9781118902028 – ident: e_1_3_3_39_1 doi: 10.1016/j.foreco.2023.121553 – ident: e_1_3_3_40_1 doi: 10.3832/ifor2108-010 – ident: e_1_3_3_10_1 doi: 10.1016/j.isprsjprs.2023.01.005 – ident: e_1_3_3_31_1 doi: 10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2 |
| SSID | ssj0060443 |
| Score | 2.3470573 |
| Snippet | The discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy height... ABSTRACTThe discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy... |
| SourceID | doaj crossref informaworld |
| SourceType | Open Website Enrichment Source Index Database Publisher |
| SubjectTerms | canopy height model forest canopy height change Multi-temporal spatial scale |
| SummonAdditionalLinks | – databaseName: Open Access Journals from Taylor & Francis dbid: 0YH link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07j9QwELbgaGgQrxPLS1PQ-sj6mZSA9rSioOIkqCLbcfZWWiWnbCjup_BvmbGd40ACCkonmcjKjO1vnPH3MfamM64xItS8q6zjytae16YP3EXMJRrfiSZXW3wy2wv18YteqgmPpayScug-E0WkuZoGt_PHpSLuLZFL1o2ymN0JdSak0lbou-wersQViRhUX7fLZGwqlWvs0YSTzXKI50-v-WV5Siz-v3GY3lp9zh-yBwU2wrvs50fsThwes9PNz1NqeLMM0-MT9n1TOLyHHSDAgyke9pmP-xrGHvyeF0aqA-CXHa-u4TLtkELSxYFdoqJGKAp0-ATcfsJAGSIg0I4THEOWOQLsLRrQlDCVJq4wsMO8fr6E_QBohCh0uU4KEOPwlF2cbz5_2PKiwcADAq2ZGx9JmMz32joTAwn6Re2V6ywBl9AoI6VwKp3HFVoSzbHX3gbpgra2X8tTdjKMQ3zGIGCyLXv6D1cFDAqJM6tuPOKdChN62XQrppZP34ZCUE46GYd2XXhMF4-15LG2eGzFzm7MrjJDx78M3pNfbx4mgu10YZx2bRmvLYa2Nc662BFbQLV2OrpoOy-017U3YsWa21HRzml_pc9iKK38awee_4ftC3afmplq8iU7madv8RXCotm_ToH_AzVNA78 priority: 102 providerName: Taylor & Francis |
| Title | Evaluating the reliability of bi-temporal canopy height model generated from airborne laser scanning for monitoring forest growth in boreal forest region |
| URI | https://www.tandfonline.com/doi/abs/10.1080/17538947.2024.2345725 https://doaj.org/article/bec76a7aed254301a5eae7db25b58b62 |
| Volume | 17 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV09T-QwELWAigbBAWI5QFPQGrLxV1ICWrS6guqQoIpsx1lWWmVRyBX8lPu3NxM7sLriaK6JFCdOLM_EfuN43mPssta21LkveJ0Zy6UpHC9047kNGEuUrs7LuNviQc8f5Y8n9bQh9UV7wiI9cOy4a3yH0dbYUFPadja1KthgapcrpwoXR1-c88ZgKo7BOpNxaz2CcV6U0oy5O0V2TWVUhLFhLq9yIZUhneyNWWkg7_-LunRj0rnfZ3sJLcJNbOUB2wrtN3Y8-0xOw4vp63w7ZL9nibq7XQDiOujCahlpuN9h3YBb8kREtQLs0PXrO7wMC6MwyOHAYmCgRgQKlHMCdtmhf7QBEF-HDt58VDcCbC1WoJGgS6c4scACw_n-BZYtYCUEn2M5CT-s2yP2eD_7eTfnSXqBe8RXPdcukB6Za5SxGi0wFSooJ21tCK_4UmohciuHNNxcCWI3dsoZL6xXxjRTccx22nUbThh4jLFFQ7_fMo--IHBAVaVDmJNhHC_KesLk2PWVT7zkJI-xqqaJvnS0WEUWq5LFJuzqo9prJOb4qsIt2fXjZuLVHgrQ26rkbdVX3jZh5aZXVP2wrNJEDZRK_LMBp_-jAd_ZLj0zUk2esZ2--xXOERb17oJtZ89zPIrs4WL4Gv4AevoJuA |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagHOBCeVUsFPCBa5Zs_EqOtNpqgbKnVurNsh1nu2KVVGkqVP4J_5YZ2ylLJeDQY-xM5GTG48_OzDeEvK-lqWThyqzOlcm4Km1WysZlxsNeorJ1UcVoi6VcnPLPZ-JsKxcGwypxD91Eoojgq3Fy42H0GBL3Adkly4or2N4VfFowLlQh7pMHopIKbZ3ly9Eby5zHIHsQyVBmzOL522P-WJ8Cjf8tEtOt5edol7hx4DHq5Nv0arBT9-MWp-Pd3uwJeZzQKf0YzekpuefbZ2Rv_jsZDjqTN7h8Tn7OE1V4u6KAI2nvN-tI-31Nu4badZaIrzYUFNhdXNPzcBBLQ_kdugqM14B4Kea4ULPuwR5bTwHP-55eulhNicI3AQH0PH26hIWMrvru-3BO1y0FIQC7YzsWmujaF-T0aH5yuMhSqYfMAZ4bMmk91j-zjVBGeod1A72w3NQK8ZGruGSsMDyk_RaCIZuyFVY5ZpxQqpmxPbLTdq1_SaiDPT1r8Hdf7sD2GDhwUVmAVbm3jFX1hPBRwdolHnQsx7HRs0SXOipBoxJ0UsKETG_ELiIRyP8EDtB6bm5GHu_Q0PUrndyChhmkpFHG10hKkM-M8Mar2hbCitLKYkKqbdvTQzjGaWLNFc3-OYBXd5B9Rx4uTr4e6-NPyy-vySPsiuyW-2Rn6K_8G0Big30bptovGWwnRw |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELagSIgL5VWxPH3gmiVrx3ZypLCr8tCKA5W4WbbjbFesklU2FSr_pP-2M7ZTSiXg0GPsTORkxuPPzsw3hLyppakkc2VW58pkhSptVsrGZcbDXqKyNatitMVSHh0Xn76LMZpwl8IqcQ_dRKKI4Ktxcm_rZoyIe4vkkmVVKNjdsWLKeCEUE7fJHYmJlpjFkS9HZwxNMcYeRDKUGZN4_vaYP5anwOJ_jcP0yuqz2Cd2HHcMOvkxPR3s1P26Rul4oxd7QO4nbErfRWN6SG759hE5mP9OhYPO5At2j8n5PBGFtysKKJL2frOOpN9ntGuoXWeJ9mpDQX3d9oyehGNYGorv0FXguwa8SzHDhZp1D9bYegpo3vd052ItJQqfBATQ7_TpEpYxuuq7n8MJXbcUhADqju1YZqJrn5Djxfzb-6MsFXrIHKC5IZPWY_Uz2whlpHdYNdALW5haITpyVSE5Z6YISb9McORStsIqx40TSjUzfkD22q71Twl1sKPnDf7syx1YHgf3LSoLoCr3lvOqnpBi1K92iQUdi3Fs9CyRpY5K0KgEnZQwIdNLsW2kAfmfwCEaz-XNyOIdGrp-pZNT0DB_lDTK-BopCfKZEd54VVsmrCitZBNSXTU9PYRDnCZWXNH8nwN4dgPZ1-Tu1w8L_eXj8vNzcg97IrXlC7I39Kf-JcCwwb4KE-0CUxAl6w |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Evaluating+the+reliability+of+bi-temporal+canopy+height+model+generated+from+airborne+laser+scanning+for+monitoring+forest+growth+in+boreal+forest+region&rft.jtitle=International+journal+of+digital+earth&rft.au=Zhexiu+Yu&rft.au=Jianbo+Qi&rft.au=Xun+Zhao&rft.au=Huaguo+Huang&rft.date=2024-12-31&rft.pub=Taylor+%26+Francis+Group&rft.issn=1753-8947&rft.eissn=1753-8955&rft.volume=17&rft.issue=1&rft_id=info:doi/10.1080%2F17538947.2024.2345725&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_bec76a7aed254301a5eae7db25b58b62 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1753-8947&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1753-8947&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1753-8947&client=summon |