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Estimation of aboveground biomass in logged and primary lowland rainforests using 3-D photogrammetric analysis

Toshinori Okuda, Mariko Suzuki, Sinya Numata, Keiichiro Yoshida, Sen Nishimura, Naoki Adachi, Kaoru Niiyama, N. Manokaran, Mazlan Hashim
<span title="">2004</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q3uhmiamtva33pwwwyzxkev4l4" style="color: black;">Forest Ecology and Management</a> </i> &nbsp;
on larger scales, even for very dense tropical forests.  ...  We also found that digital reflectance values from Landsat Thematic Mapper (TM) images differed significantly between the logged and primary forests, and hypothesize that these differences relate to structural  ...  ., Tsukuba, for assisting in extracting the Landsat TM data for the area in the present study. We also thank Mr. Eng Seng Quah, Mr.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.foreco.2004.07.056">doi:10.1016/j.foreco.2004.07.056</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aort6dhnofb6vkg4q7geq7o3fq">fatcat:aort6dhnofb6vkg4q7geq7o3fq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170923010733/http://eprints.utm.my/971/2/sdarticle.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/87/a1/87a11c3916f14930fdf65e10e238118dc2eaf613.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.foreco.2004.07.056"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

An evaluation of the use of satellite data for monitoring early development of young Sitka spruce plantation forest growth

D.N.M. Donoghue
<span title="2004-05-01">2004</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nu5iseascvcbbdsziaey3pid6m" style="color: black;">Forestry (London)</a> </i> &nbsp;
some of the image data.  ...  Special thanks are due to Richard Saull and Ian Downey from the British National Space Centre for helpful suggestions and to Stuart White from the NERC Earth Observation Data Centre who kindly supplied  ...  † Based on 27 observations. Table 2 : 2 Summary of GLM models used to estimate forest variables from satellite data Response Band* Coeff.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/forestry/77.5.383">doi:10.1093/forestry/77.5.383</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/n6bj6ntuqzfgff5w27lhobal6a">fatcat:n6bj6ntuqzfgff5w27lhobal6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180725090446/https://watermark.silverchair.com/cph042.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAa0wggGpBgkqhkiG9w0BBwagggGaMIIBlgIBADCCAY8GCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMsAaXWZgyKCZR0fb_AgEQgIIBYC7VVWd3axV4A37kYnR7sNsC5c-daVbStiU5MoUxu4umxtXu40qd-_98sRm9WY9z1bq8ac_n2-ccGtG5FjFu5crfRPgrTVEmNDxr1JMf0HVXdyplR-5EMOw4JsxMpGrVW-YDWAas_lZJ5pJrw2bM_rkvTMmsesVY1jxVZ3w9MnNunxQ0IUZHP6U2wRX3IUL088NazTtSezZ4pqc-QaqAo7qePbuda4xgTYFk08Xq1A5YNC5yytmVdiM8gXyUm7uw0_1LEHmbk51L43KE-wEcSXCv9ioJB-V70ic3bgNINWNWlOEC00Uub_GuRrQgIRO1KC-3lhxcxmrQpM5kHeIBl4Mu4Vn0oWM372P8W3rkvNk109-kvlkKPWF8lVqLz0Lb2jLyrCO8TMLBV7iOXV9m_j54GzoGoRxL8gxBdoaRgUxQtLHliMJuq9y4rMdWrckUikWeC8pOi5z16t-Zj7pM6Qg" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4e/f2/4ef28964f7a37f4eb4be2debaa416bd77085662e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/forestry/77.5.383"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

Remote sensing proxies of productivity and moisture predict forest stand type and recovery rate following experimental harvest

Wiebe Nijland, Nicholas C. Coops, S. Ellen Macdonald, Scott E. Nielsen, Christopher W. Bater, Barry White, Jae Ogilvie, John Stadt
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q3uhmiamtva33pwwwyzxkev4l4" style="color: black;">Forest Ecology and Management</a> </i> &nbsp;
of airborne laser scanning (ALS) technology also allows for the acquisition of detailed information on topographic elevation and vegetation structure with sub-meter accuracy.  ...  In a large area of boreal mixedwood forest in northwestern Alberta, Canada, we examined the utility of using Landsat-derived vegetation greenness (indicating productivity), and ALS-derived cartographic  ...  The ALS data were provided by Alberta Agriculture and Forestry as well as granting access to the wet areas mapping data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.foreco.2015.08.027">doi:10.1016/j.foreco.2015.08.027</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7zzgm6vle5epvlcrjkhhsmldyu">fatcat:7zzgm6vle5epvlcrjkhhsmldyu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705110124/http://www.ace-lab.ca/assets_b/Nijlandetal_foreco201508027_emendWAM.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/51/ff518a98df735049d46e444f8d17634c66b65f54.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.foreco.2015.08.027"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

The potential and challenge of remote sensing‐based biomass estimation

Dengsheng Lu
<span title="">2006</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/t3jxbtntvjhlnbvwdasscriu4u" style="color: black;">International Journal of Remote Sensing</a> </i> &nbsp;
More research is needed to focus on the integration of optical and radar data, the use of multisource data, and the selection of suitable variables and algorithms for biomass estimation at different scales  ...  A summary of previous research on remote sensing-based biomass estimation approaches and a discussion of existing issues influencing biomass estimation are valuable for further improving biomass estimation  ...  using Landsat TM data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/01431160500486732">doi:10.1080/01431160500486732</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/enmhrjt54ffmjlvtp7pmdrdiou">fatcat:enmhrjt54ffmjlvtp7pmdrdiou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140211051531/http://www.iub.edu:80/~act/files/curriculum_vitae/dlu_webCV/biomass_estimation_review_IJRS_2006.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1c/1a/1c1a333d190ba3c609b042d271625fd789b49550.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/01431160500486732"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> tandfonline.com </button> </a>

A Review of Terrestrial Carbon Assessment Methods Using Geo-Spatial Technologies with Emphasis on Arid Lands

Salem Issa, Basam Dahy, Taoufik Ksiksi, Nazmi Saleous
<span title="2020-06-23">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
RS data.  ...  The current study reviews various RS-related techniques used in the CS assessment, with emphasis on arid lands, and provides insight into the associated challenges, opportunities and future trends.  ...  Geo-Spatial Approach for Estimating AGB Ground-based methods for forest AGB estimation and carbon stock are generally based on plots, forest inventory, and monitoring methods that use allometric equations  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12122008">doi:10.3390/rs12122008</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6jzkvrn75zdrthvva6eanrw3ve">fatcat:6jzkvrn75zdrthvva6eanrw3ve</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200721073421/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-12-02008/article_deploy/remotesensing-12-02008.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7a/16/7a16ab4a5dcc0f2878bb5b64f3194ab0e911e07c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12122008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Combining lidar estimates of aboveground biomass and Landsat estimates of stand age for spatially extensive validation of modeled forest productivity

M.A. Lefsky, D.P. Turner, M. Guzy, W.B. Cohen
<span title="">2005</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/lm57ugzxwjehna44tee4sjxr4u" style="color: black;">Remote Sensing of Environment</a> </i> &nbsp;
Landsat TM). Stand age is then cross-tabulated with estimates of stand height and aboveground biomass from lidar remote sensing.  ...  Remote sensing of NPP and NPP Aw is generally based on light use efficiency or process-based biogeochemistry models. However, validating these large area flux estimates remains a major challenge.  ...  Environmental Protection Agency STAR Program on Regional Scale Analysis and Assessment (Grant no. R828309).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.rse.2004.12.022">doi:10.1016/j.rse.2004.12.022</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/skyvgwjstnanll4dcqc4johrvm">fatcat:skyvgwjstnanll4dcqc4johrvm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170813145459/https://andrewsforest.oregonstate.edu/sites/default/files/lter/pubs/pdf/pub3211.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/aa/b9/aab9b1779988a9a8d17cc1aaa082be3e620df09e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.rse.2004.12.022"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

Dengsheng Lu, Qi Chen, Guangxing Wang, Lijuan Liu, Guiying Li, Emilio Moran
<span title="2014-12-18">2014</span> <i title="Informa UK Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cv2lgjhgznck5gafn7qca2wwo4" style="color: black;">International Journal of Digital Earth</a> </i> &nbsp;
This paper provides a survey of current biomass estimation methods using remote sensing data and discusses four critical issuescollection of field-based biomass reference data, extraction and selection  ...  Remote sensing-based methods of aboveground biomass (AGB) estimation in forest ecosystems have gained increased attention, and substantial research has been conducted in the past three decades.  ...  The authors acknowledge the support from the Zhejiang A& F University's Research and Development Fund for the talent startup project (2013FR052), Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/17538947.2014.990526">doi:10.1080/17538947.2014.990526</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/bkc3syq3pfgzxkawig2pog7i3y">fatcat:bkc3syq3pfgzxkawig2pog7i3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160418201652/http://www2.hawaii.edu:80/~qichen/cv/Lu2014IJDE.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5f/c4/5fc4696c6e2ccbc6380e0b66cf6de854c3029173.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1080/17538947.2014.990526"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> tandfonline.com </button> </a>

Satellite Data Classification Accuracy Assessment Based From Reference Dataset

Mohd Hasmadi Ismail, Kamaruzaman Jusoff
<span title="2008-03-26">2008</span> <i title="Zenodo"> Zenodo </i> &nbsp;
Therefore, the main objective of this paper is to assess classification accuracy of classified forest map on Landsat TM data from difference number of reference data (200 and 388 reference data).  ...  There are tremendous effort has been done in classification of land cover related to forest resource management in this country as it is a priority in all aspects of forest mapping using remote sensing  ...  These cover types were included in the class of bare land based on the classification schemes that have been developed, and considering that the main objective of this project was estimation of the forest  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1334223">doi:10.5281/zenodo.1334223</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c6jt2paylngnplbrlemw2dpyju">fatcat:c6jt2paylngnplbrlemw2dpyju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201228045927/https://zenodo.org/record/1334223/files/7672.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/db/52/db52b1d85b811b58a9ef013108a64b8fd2ec567d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1334223"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review

Peter Surový, Karel Kuželka
<span title="2019-03-19">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q4qn5347mbernbifov3xbvfjcq" style="color: black;">Forests</a> </i> &nbsp;
We examined modern remote sensing techniques used to obtain forest data that are directly applicable to decision making issues, and we provided a general overview of the types of data that can be obtained  ...  using remote sensing.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/f10030273">doi:10.3390/f10030273</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/fzowinbsvfdwtnpe45f6yfzu6a">fatcat:fzowinbsvfdwtnpe45f6yfzu6a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200216150911/https://res.mdpi.com/d_attachment/forests/forests-10-00273/article_deploy/forests-10-00273-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ee/92/ee9229b6c90d1a4e04215123728bb92f014ef5ff.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/f10030273"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Optical data-driven multi-source forest inventory setups for boreal and tropical forests

Eero Muinonen
<span title="">2018</span> <i title="Finnish Society of Forest Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/67yes5c3wndjxfjhzcg57lt4h4" style="color: black;">Dissertationes Forestales</a> </i> &nbsp;
Three later studies were carried out in the Finnish Forest Research Institute (Metla), i.e. the Natural Resources Institute Finland (Luke) since 2015. The ICI project in Metla was funded  ...  III) Covering the Terai region with Landsat TM satellite data utilized in study II required several Landsat images that were taken on different dates.  ...  Objectives Remote sensing materials constitute an essential source of data in estimating forest attributes.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14214/df.256">doi:10.14214/df.256</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/allu4hth2vcytke7i54zbda6tu">fatcat:allu4hth2vcytke7i54zbda6tu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428131024/https://dissertationesforestales.fi/pdf/article10029.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/66/92/66922eb959272bbdfaf93f5b72b52fc18d4f1737.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14214/df.256"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Above-Ground Biomass Estimation of Plantation with Complex Forest Stand Structure Using Multiple Features from Airborne Laser Scanning Point Cloud Data

Linghan Gao, Xiaoli Zhang
<span title="2021-12-06">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q4qn5347mbernbifov3xbvfjcq" style="color: black;">Forests</a> </i> &nbsp;
This paper takes the Jiepai sub-forest farm and the Gaofeng state-owned forest farm in southern China as the experimental area and explores the optimal features from the ALS point cloud data and AGB inversion  ...  The results showed that the features related to tree height had a great impact on forest AGB.  ...  Compared with the forest AGB estimation in the same area, Zhang LQ [53] used Landsat TM data to estimate the forest AGB in the Gaofeng forest farm  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/f12121713">doi:10.3390/f12121713</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/awcls7lbwrht3glym3hpl3rszm">fatcat:awcls7lbwrht3glym3hpl3rszm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211208172515/https://mdpi-res.com/d_attachment/forests/forests-12-01713/article_deploy/forests-12-01713-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8c/d1/8cd1c19a17e39578aaf5a8666955e64d91ca9284.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/f12121713"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Mapping Annual Forest Change Due to Afforestation in Guangdong Province of China Using Active and Passive Remote Sensing Data

Wenjuan Shen, Mingshi Li, Chengquan Huang, Xin Tao, Shu Li, Anshi Wei
<span title="2019-02-27">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
Annual forest maps (1986–2016) of Guangdong, China were generated using time series Landsat images and PALSAR data. Initially, four PALSAR-based classifiers were used to classify land cover types.  ...  Next, an accurate identification of forest and non-forest was carried out by combining Landsat-based phenological variables and PALSAR-based land cover classifications.  ...  The authors also thank the Guangdong Provincial Center for Forest Resources Monitoring for providing field inventories.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11050490">doi:10.3390/rs11050490</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u26tw7sgpjap7koa3okgv3tl3u">fatcat:u26tw7sgpjap7koa3okgv3tl3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428063959/https://res.mdpi.com/remotesensing/remotesensing-11-00490/article_deploy/remotesensing-11-00490-v2.pdf?filename=&amp;attachment=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d2/4c/d24cd4c233b9c8a60e0b1eb82821fc984afead3d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11050490"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Forest canopy height retrieval using LiDAR data, medium-resolution satellite imagery and kNN estimation in Aberfoyle, Scotland

D. O. Mcinerney, J. Suarez-Minguez, R. Valbuena, M. Nieuwenhuis
<span title="2010-02-22">2010</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nu5iseascvcbbdsziaey3pid6m" style="color: black;">Forestry (London)</a> </i> &nbsp;
The principal objective was to extend forest canopy height predictions from the liDAr data over a larger area using the IrS satellite image scene. leave-one-out cross-validation was used to compute the  ...  Canopy height is an important forest variable that can provide information relating to forest structure, Yield Class, standing biomass and thereby associated carbon sequestration. liDAr data were acquired  ...  Acknowledgements The authors would like to thank the bFC for access to the airborne laser-scanning data and european Space Agency for access to the IrS-1C satellite image scene.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/forestry/cpq001">doi:10.1093/forestry/cpq001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ejdmmcnrzbcotmlk7oapdg46q4">fatcat:ejdmmcnrzbcotmlk7oapdg46q4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200315072626/https://watermark.silverchair.com/cpq001.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAmEwggJdBgkqhkiG9w0BBwagggJOMIICSgIBADCCAkMGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMJN4_pV1qnSwPnLebAgEQgIICFMSeiRfHn8jjIUeM9UqH0Hy23ygnam9UIP6Y3w7Nps_1gsgFomrLwCTvnyoh5IQXTy1-pHcIea1T1QfecP4mQVMZFehtdbQuDS0kEe5JW_NSWqoiUu69LtC9FlpEywaoJd4SEZTQI4Wzpdwn9yzlEJz-CJtOSD-QZlor9TX9o81mDFVdIL4htjB3Am0eOwY_Xij3imRmNs8COnNM1GjknWoskhd5A0SNHr1QNfAm-_wLO1_8P0wzpDKetjAV6kOyMvrIO2mNgsIqErsfp66q1_Nb0XW-YMXHNzA9M8z_VYKWl_lupJYHzqZHhzVBCbWUAlOkdvWSgw_827ZIAXX8Rh-BjxTjQ_0zaaYbnA3TDTgd2uwFuTSrDltqPzqCdtALR26JFhr-r_N6xn0d6q8ujvlX_x8723ZN3yIOVq3BYYrFvq34U4seD1vM4te5L_DOTjwGWxao6pWNDNSLe_1Pm8uAkqXIs05fWF_dGNUWHKvGozmuC-dw6F9gM1ZbSPWBmfpg4PW-A4CUyguPYC_LZyUouoeSHzxPwwJrv53ApNcpc1IxOUDW1wdkI08hlT_9qFvs2X0PI41wl_shb0BMVraHNUPZsVwvP1TUwjFjFQFyK6N-z6VJ_oPA1gP45mhkXgEeMfOY82wT-xjN-YGhVwOfK9iyX48urgtb35edYzh0gZRjUVdit_R5nJnPtMybAUNtVR4" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/a8/54a8a409afdf7fb7ff7f81485dc73ab5b00db249.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/forestry/cpq001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

Analysis of Ice Storm Impact on and Post-Disaster Recovery of Typical Subtropical Forests in Southeast China

Wutao Yao, Yong Ma, Fu Chen, Zhishu Xiao, Zufei Shu, Lijun Chen, Wenhong Xiao, Jianbo Liu, Liyuan Jiang, Shuyan Zhang
<span title="2020-01-02">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
We then used the EVI from 2007 to 2017, together with a variety of other remote-sensing and forest sub-compartment data, to analyze the impact of the 2008 ice storm and the subsequent post-disaster recovery  ...  Studies on the impact of such disasters, as well as the post-disaster recovery of forests, are important contents in forest biology, ecology, and geography.  ...  The years from 2007 to 2011 relied on Landsat 5 TM data, whereas 2012 relied on Landsat 7 ETM+ data; more recent observations used Landsat 8 OLI data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12010164">doi:10.3390/rs12010164</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3wjlbditcbd7xjzayaf64lwxj4">fatcat:3wjlbditcbd7xjzayaf64lwxj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200104021038/https://res.mdpi.com/d_attachment/remotesensing/remotesensing-12-00164/article_deploy/remotesensing-12-00164.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/39/34/393444a5f739d8838edad9c985e070f6b5b9882d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12010164"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Mapping satellite-derived thermal parameters of canopy onset and assessing their temperature dependency for temperate forests in Korea

Nanghyun Cho, Sinkyu Kang, Bora Lee, Casimir Agossou, Jihye Lee, Jong-Hwan Lim, Eunsook Kim
<span title="">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i7mx6bp3tnfchaqdjocunomffy" style="color: black;">Ecological Indicators</a> </i> &nbsp;
This study proposes a satellite-based approach for mapping the canopy-onset thermal traits and analyzing their controlling factors in temperate forests.  ...  GDD and CR from 2003 to 2017 were estimated with canopy onset dates and air temperature data retrieved from Moderate Resolution and Imaging Spectroradiometer (MODIS) images.  ...  The foliage observational data in the Korea National Phenology Database was collected by the project on "conservation of threatened plants under climate change on Korea forest" (Korea Forest Service)  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ecolind.2021.107528">doi:10.1016/j.ecolind.2021.107528</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gwap2b46azdgzm3zm47xra776i">fatcat:gwap2b46azdgzm3zm47xra776i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210601084337/https://pdf.sciencedirectassets.com/272241/1-s2.0-S1470160X21X00040/1-s2.0-S1470160X2100193X/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEBEaCXVzLWVhc3QtMSJIMEYCIQDtk0US52ggPjx9YExgIM02TfQnKrMn1dd0b5ed3OTQ5AIhAO6UsoQqxhx0h7okXs3XDOmTbd3F3VUs%2BRhFdjaMEuxjKoMECLn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEQBBoMMDU5MDAzNTQ2ODY1IgzhearVZQncGKtDDYEq1wPX67Kh9k1%2B04KhZI57magdjPgHVTrbAhpCJ6A1SZEPKi%2FkglZ1TUI66WP7XjVVLrpEkQOMx5fc30AUfbZOC6su7H0eZFM5020g9R9Zssy76QXvL8nKMZobdU6z8YIwXfuGjEhlwX7vB4BSKF8QifoUerZtVyDv%2FimSpkhltwtj3V2RqgSy98q0AQRVN5SCdkNDywKQQGgy0whqA%2Ffcbv5EWELMeSXClZfu4f22U0mcRZHC4K0SrJP7o1lYGFfJol2JBP7FILQl0fegX0ekpNkNmTzC8oyts0Wh8hRI09t6wZaB5Cy68DTue4BL%2BvNyEkFV1S7ESt%2BzLAb%2Bw7anAnxHMWhLl68PP9X7l6ZCpnfeNHbF%2FeVE0EKUnFFTY9WWAwcmYz6g3jBRwmpkaw7eOIjhsDSEvg%2FFkqL9fpVaoToZgXQEsPHFhA4TG%2B5NaPYr6BRxUZ2g8dq3HwsiKz0%2FdX7UPtxH8%2B0QrzsJWkf9Z%2FGEag%2ByHAFRS3bq8Ob7rlu3HamJQoAgv5V%2FSm3ljeyaG4%2F%2F%2B0DvCdbfaq4K%2BdQY3oO59aGjPuD70FrODhDuTJktZucYufGGSxd1YPGptVmSkDbdS4a4fT4QNnMEcnw%2FkKIT7kicdxuJGDww2drXhQY6pAE2RCROt5TBFkkaAbw0YJf63l6rzpVj5sUMnVrZS9MQQGtYfjq7TRZ5e0Pc0YWPBOF6In%2F8TM0bKyR8NBWZgZ7DlnliA4mqC4fcGqGYenOKZNeUO2m2c3NYOpNjFqH2d%2B4PYFQU%2BdLD3ewuPexA8mhJQw7ZWzbrWaVZgD3xq5%2BJQ%2FGWgrk1H%2ByUVpBnmLf6n%2FNHiBFTRF2DtV5AocG2jycBep1uaQ%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20210601T084310Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYXBMJCSLE%2F20210601%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=0f0a294b8d4ee7441af2d034bde76dde9f4c647ccf3eedb1894545c06166e8eb&amp;hash=5f65dcbba2881b89c7eed9f16e232555ac03a88dafc125c5bed54e3ceb6af6e2&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1470160X2100193X&amp;tid=spdf-7f4afc80-aec9-46f5-ae9c-f7d58042ecd4&amp;sid=b2884fe44e6042406a4909861fef3b58bd37gxrqa&amp;type=client" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e5/ba/e5baf0750a475303075b3d3daf3796ab98921ba2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ecolind.2021.107528"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>
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