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Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA

Juheon Lee, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft, Carola-Bibiane Schonlieb, David A. Coomes
<span title="">2016</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b2n2tpw5ang73osulebz6bm4ju" style="color: black;">IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</a> </i> &nbsp;
In this study we developed a generic workflow to map tree species at ITC-level from hyperspectral imagery and LiDAR data using a combination of well-established and recently developed techniques.  ...  The test results demonstrate the effectiveness of the approach, and in particular the use of robust PCA to prune the hyperspectral dataset and reveal subtle difference among species.  ...  The authors would like to thank NERC-ARSF for collecting and pre-processing the data used in this research project [RG13/08/175b], and a grant from the Isaac Newton Trust.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2016.2569408">doi:10.1109/jstars.2016.2569408</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tl7cojitbrhk5bkkwhnwix3nwi">fatcat:tl7cojitbrhk5bkkwhnwix3nwi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200311034444/https://www.repository.cam.ac.uk/bitstream/handle/1810/256126/Lee_et_al-2016-IEEE_Journal_of_Selected_Topics_in_Applied_Earth_Observations_and_Remote_Sensing-AM.pdf;jsessionid=55205BF1B20D93F8A517BC8D6930D731?sequence=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/75/ef/75ef29b3908c1ab42c77aed4fd94d493166a6e06.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2016.2569408"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Mapping Tree Species Using Advanced Remote Sensing Technologies: A State-of-the-Art Review and Perspective

Ruiliang Pu
<span title="2021-11-03">2021</span> <i title="American Association for the Advancement of Science (AAAS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4lk2lipzzfbazlp4nkym6bbsrq" style="color: black;">Journal of Remote Sensing</a> </i> &nbsp;
They include the following: (1) A large group of studies on the topic were using high-resolution satellite, airborne multi-/hyperspectral imagery, and airborne LiDAR data. (2) A trend of "multiple" method  ...  Timely and accurate information on tree species (TS) is crucial for developing strategies for sustainable management and conservation of artificial and natural forests.  ...  ; discuss the potential of remote sensing to improve the reliability and accuracy of mapping urban forests [18] A review: individual tree species classification using integrated airborne LiDAR and  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34133/2021/9812624">doi:10.34133/2021/9812624</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/f3lmtkaaejepbif4j5lhcllz4u">fatcat:f3lmtkaaejepbif4j5lhcllz4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211123052828/https://downloads.spj.sciencemag.org/remotesensing/2021/9812624.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/74/ab/74ab9fec955ad1502df4a3638a910f3c3e654c9c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.34133/2021/9812624"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Light detection and ranging and hyperspectral data for estimation of forest biomass: a review

Qixia Man, Pinliang Dong, Huadong Guo, Guang Liu, Runhe Shi
<span title="2014-12-18">2014</span> <i title="SPIE-Intl Soc Optical Eng"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/432bmec4lfhu5cxeshhodwkttm" style="color: black;">Journal of Applied Remote Sensing</a> </i> &nbsp;
From local to global scales, remote sensing has been extensively used for forest biomass estimation.  ...  With the availability of multisensor image data, fusion has become a valuable method in remote sensing applications.  ...  Few studies have showed classification of tree species using LiDAR intensity data alone.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.jrs.8.081598">doi:10.1117/1.jrs.8.081598</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hdvyjfwl3jbrflvrk5lko2xj4u">fatcat:hdvyjfwl3jbrflvrk5lko2xj4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180722175952/https://www.spiedigitallibrary.org/journals/Journal-of-Applied-Remote-Sensing/volume-8/issue-1/081598/Light-detection-and-ranging-and-hyperspectral-data-for-estimation-of/10.1117/1.JRS.8.081598.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/8f/32/8f3236424c307ea3e44d13893a71dd3d25fd4122.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.jrs.8.081598"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Integrating National Ecological Observatory Network (NEON) Airborne Remote Sensing and In-Situ Data for Optimal Tree Species Classification

Victoria M. Scholl, Megan E. Cattau, Maxwell B. Joseph, Jennifer K. Balch
<span title="2020-04-30">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;
Freely available NEON data include in-situ measurements of individual trees, including stem locations, species, and crown diameter, along with the NEON Airborne Observation Platform (AOP) airborne remote  ...  An important aspect of predicting species using remote sensing data is creating high-quality training sets for optimal classification purposes.  ...  PCA and Minimum Noise Fraction (MNF) were the most commonly used dimensionality reduction methods in a recent tree species classification review [6] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12091414">doi:10.3390/rs12091414</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ibxjtvl5ajfgzkspu6pk5e7oxq">fatcat:ibxjtvl5ajfgzkspu6pk5e7oxq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201105005155/https://scholarworks.boisestate.edu/cgi/viewcontent.cgi?article=1046&amp;context=hes_facpubs" 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/58/f5/58f5293e6c3242775174bcb0a5cba095de6b4fad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12091414"> <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>

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

Tien Pham, Naoto Yokoya, Dieu Bui, Kunihiko Yoshino, Daniel Friess
<span title="2019-01-22">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;
We see several key future directions for the potential use of remote sensing techniques combined with machine learning techniques for mapping mangrove areas and species, and evaluating their biomass and  ...  A wide range of studies is based on optical imagery (aerial photography, multispectral, and hyperspectral) and synthetic aperture radar (SAR) data.  ...  However, mapping mangrove species still remains a challenge [20, 21] , as it is difficult to map individual trees that may be smaller than the resolution of the imagery, and mangrove tree species are  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11030230">doi:10.3390/rs11030230</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xgxftojh5vdfhgkpqcwehgbkwa">fatcat:xgxftojh5vdfhgkpqcwehgbkwa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504043608/https://res.mdpi.com/remotesensing/remotesensing-11-00230/article_deploy/remotesensing-11-00230-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/48/83/48834f4e3cfab5e95f86ec4182a10819997cf6ab.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs11030230"> <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>

2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12

<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b2n2tpw5ang73osulebz6bm4ju" style="color: black;">IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing</a> </i> &nbsp;
., +, JSTARS Nov. 2019 4517-4529 Characterizing Tree Species of a Tropical Wetland in Southern China at the Individual Tree Level Based on Convolutional Neural Network.  ...  ., +, JSTARS Dec. 2019 5167-5177 Characterizing Tree Species of a Tropical Wetland in Southern China at the Individual Tree Level Based on Convolutional Neural Network.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2020.2973794">doi:10.1109/jstars.2020.2973794</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sncrozq3fjg4bgjf4lnkslbz3u">fatcat:sncrozq3fjg4bgjf4lnkslbz3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429105617/https://ieeexplore.ieee.org/ielx7/4609443/8979194/09000751.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/e0/fc/e0fc1e73a179214cf5b685026e5cbb108b1e529b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/jstars.2020.2973794"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

Multisource and Multitemporal Data Fusion in Remote Sensing [article]

Pedram Ghamisi, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Hofle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson, Jon Atli Benediktsson
<span title="2018-12-19">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Multisource data fusion has, therefore, received enormous attention from researchers worldwide for a wide variety of applications.  ...  capability of several spaceborne sensors, the integration of the temporal information with the spatial and/or spectral/backscattering information of the remotely sensed data is possible and helps to move from  ...  [125] also worked at the single tree/crown object level and added HSI to the airborne LiDAR dataset to map urban tree species.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.08287v1">arXiv:1812.08287v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hmojxdoaybc6vjeto5s3x7b6z4">fatcat:hmojxdoaybc6vjeto5s3x7b6z4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930220038/https://arxiv.org/pdf/1812.08287v1.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/cd/10/cd10327929e272f272dcb8bdadf1df2b284fa774.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1812.08287v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Sensing technologies for precision specialty crop production

W.S. Lee, V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, C. Li
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bitt7mr5gbbnxb3hc7d4rccdzy" style="color: black;">Computers and Electronics in Agriculture</a> </i> &nbsp;
These factors can be measured using diverse types of sensors and instruments such as field-based electronic sensors, spectroradiometers, machine vision, airborne multispectral and hyperspectral remote  ...  sensing, satellite imagery, thermal imaging, RFID, and machine olfaction system, among others.  ...  Ye et al. (2007) used partial least squares (PLS) regression models to predict the yields of citrus trees from their canopy features obtained from airborne hyperspectral imagery as compared with vegetation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compag.2010.08.005">doi:10.1016/j.compag.2010.08.005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tesilbgowvf3vplcwgbcevmhyy">fatcat:tesilbgowvf3vplcwgbcevmhyy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922171353/https://naldc.nal.usda.gov/naldc/download.xhtml?id=46603&amp;content=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/08/85/088551fb13e50f25148429a467e397ef60199a91.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compag.2010.08.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Biomass Estimation Using Satellite-Based Data [chapter]

Patrícia Lourenço
<span title="2021-02-10">2021</span> <i title="IntechOpen"> Forest Biomass - From Trees to Energy </i> &nbsp;
regression algorithms used (parametric and non-parametric) that contribute to a more robust, practical, and cost-effective approach for forest AGB estimation at different levels.  ...  This chapter aims to present different types of predicted variables derived from multi-sources sensors, such as original spectral bands, transformed images, vegetation indices, textural features, and different  ...  species, and tree height).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/intechopen.93603">doi:10.5772/intechopen.93603</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xdij2dyqwjcyzdfzywikogb3fm">fatcat:xdij2dyqwjcyzdfzywikogb3fm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210228200217/https://api.intechopen.com/chapter/pdf-download/73176.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/8f/44/8f445ff4edbfa12a9d470db06fbcbb8bc1fb158e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/intechopen.93603"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Review of the use of remote sensing for biomass estimation to support renewable energy generation

Lalit Kumar, Priyakant Sinha, Subhashni Taylor, Abdullah F. Alqurashi
<span title="2015-06-16">2015</span> <i title="SPIE-Intl Soc Optical Eng"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/432bmec4lfhu5cxeshhodwkttm" style="color: black;">Journal of Applied Remote Sensing</a> </i> &nbsp;
This paper provides a comprehensive review of biomass assessment techniques using remote sensing in different environments and using different sensing techniques.  ...  To efficiently and effectively use biomass as a renewable energy source, it is important to have detailed knowledge of its distribution, abundance, and quality.  ...  Height metrics can also be calculated from grids of the canopy height model. 96, 139, 152 Individual tree-based methods identify individual tree crowns and extract individual tree information from LiDAR  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.jrs.9.097696">doi:10.1117/1.jrs.9.097696</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vb6fitx52rbyxprbf2c6c7nu3i">fatcat:vb6fitx52rbyxprbf2c6c7nu3i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190427032954/https://www.spiedigitallibrary.org/journals/Journal-of-Applied-Remote-Sensing/volume-9/issue-1/097696/Review-of-the-use-of-remote-sensing-for-biomass-estimation/10.1117/1.JRS.9.097696.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/e5/09/e509d07657c0622d10f3a664a3d41d6aacdaa13d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.jrs.9.097696"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Fusion of spectral reflectance and derivative information for robust hyperspectral land cover classification

H. Kalluri, S. Prasad, L.M. Bruce
<span title="">2009</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ao54s6nulvbsdnbbncuz4yl4gi" style="color: black;">2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing</a> </i> &nbsp;
Efficacy of the proposed approaches (using spectral derivatives and single or multiple classifiers) as quantified by the overall classification accuracy (expressed in percentage), is significantly greater  ...  Experimental results are reported with handheld, airborne and spaceborne hyperspectral data.  ...  Recognition of classes that are closely related (e.g. separating deciduous tree species in a forest, different soil conditions) requires more information from a wide range of wavelengths in the electromagnetic  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/whispers.2009.5288982">doi:10.1109/whispers.2009.5288982</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/whispers/KalluriPB09.html">dblp:conf/whispers/KalluriPB09</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j6bq2o7wybcgjgveomtva7dypq">fatcat:j6bq2o7wybcgjgveomtva7dypq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721231449/http://sun.library.msstate.edu/ETD-db/theses/available/etd-11062009-124333/unrestricted/KalluriHFINAL.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/9c/5e/9c5ed6d2a32da3861f0974661b2504a561af0c1d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/whispers.2009.5288982"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

An overview of the recent approaches for terroir functional modelling, footprinting and zoning

E. Vaudour, E. Costantini, G. V. Jones, S. Mocali
<span title="2014-11-20">2014</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/oyy5s6w5vvdn7nhj7icvivlsam" style="color: black;">SOIL Discussions</a> </i> &nbsp;
Furthermore, the explosion of spatial data availability and sensing technologies has made the within-field scale of study more valuable to the individual grower.  ...  Due to both a greater need to better understand regional to site variations in crop production and the growth in spatial analytic technologies, the study of terroir has shifted from a largely descriptive  ...  NDVI and/or to- pographic parameters OK and/or PCA then KM Fine-scale, whole soil- vine-wine chain consid- ered Time-consuming, high sampling density (≤ 2 m), multisensor collec- tion, microvinifications  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/soild-1-827-2014">doi:10.5194/soild-1-827-2014</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xe7niwfasndavj6jcnvb7k5rda">fatcat:xe7niwfasndavj6jcnvb7k5rda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922005806/https://air.crea.gov.it/retrieve/handle/11698/59835/25033/Vaudour%20et%20al%2c%202015.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/7d/2f/7d2f37740d60572bc429fc4f7723ed960e542858.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/soild-1-827-2014"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

An overview of the recent approaches to terroir functional modelling, footprinting and zoning

E. Vaudour, E. Costantini, G. V. Jones, S. Mocali
<span title="2015-03-18">2015</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3xdpbdhbonaina3o4qcu67xjkm" style="color: black;">SOIL</a> </i> &nbsp;
Furthermore, the explosion of spatial data availability and sensing technologies has made the within-field scale of study more valuable to the individual grower.  ...  Due to both a greater need to better understand regional-to-site variations in crop production and the growth in spatial analytic technologies, the study of terroir has shifted from a largely descriptive  ...  NDVI and/or to- pographic parameters OK and/or PCA then KM Fine-scale, whole soil- vine-wine chain consid- ered Time-consuming, high sampling density (≤ 2 m), multisensor collec- tion, microvinifications  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/soil-1-287-2015">doi:10.5194/soil-1-287-2015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/trfh7vjwnbdspg3uvtoba65gse">fatcat:trfh7vjwnbdspg3uvtoba65gse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922005806/https://air.crea.gov.it/retrieve/handle/11698/59835/25033/Vaudour%20et%20al%2c%202015.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/7d/2f/7d2f37740d60572bc429fc4f7723ed960e542858.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/soil-1-287-2015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4odsbtjobjalfki6xxabjpdu6y" style="color: black;">IEEE Transactions on Geoscience and Remote Sensing</a> </i> &nbsp;
., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F., Incorporating Temporary  ...  Wu, S., +, TGRS Feb. 2019 944-957 Multispectral Airborne LiDAR Data in the Prediction of Boreal Tree Species Composition.  ...  Local Projection-Based Approach to Individual Tree Detection and 3-D Crown Delineation in Multistoried Coniferous Forests Using High-Density Airborne LiDAR Data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2020.2967201">doi:10.1109/tgrs.2020.2967201</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kpfxoidv5bgcfo36zfsnxe4aj4">fatcat:kpfxoidv5bgcfo36zfsnxe4aj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108132446/https://ieeexplore.ieee.org/ielx7/36/8910639/09031593.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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tgrs.2020.2967201"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Development of soft computing and applications in agricultural and biological engineering

Yanbo Huang, Yubin Lan, Steven J. Thomson, Alex Fang, Wesley C. Hoffmann, Ronald E. Lacey
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bitt7mr5gbbnxb3hc7d4rccdzy" style="color: black;">Computers and Electronics in Agriculture</a> </i> &nbsp;
In agricultural and biological engineering, researchers and engineers have developed methods of fuzzy logic, artificial neural networks, genetic algorithms, decision trees, and support vector machines  ...  Yang et al. (2001) used the DT algorithm to distinguish between manure and chemical fertilizer treatments for airborne hyperspectral imagery classification of agricultural fields.  ...  The models were used to predict corn yield from compact airborne spectrographic imager data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compag.2010.01.001">doi:10.1016/j.compag.2010.01.001</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/quszrg4vuzgcvkh2uglutnujdm">fatcat:quszrg4vuzgcvkh2uglutnujdm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922112710/https://naldc.nal.usda.gov/naldc/download.xhtml?id=41981&amp;content=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/c0/09/c009e247d0da2ba099e46db1e869e01484fcde78.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.compag.2010.01.001"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>
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