Chapter Above‐Ground Biomass Estimation with High Spatial Resolution Satellite Images (Record no. 3071003)

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fixed length control field 02671namaa2200409uu 4500
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control field oapen49214
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control field oapen
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231220171523.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr|mn|---annan
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fixed length control field 210602s2017 xx |||||o ||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 65665
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.5772/65665
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency oapen
Transcribing agency oapen
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
042 ## - AUTHENTICATION CODE
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072 #7 - SUBJECT CATEGORY CODE
Subject category code THX
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Cristina Gon�alves, Ana
Relator code auth
9 (RLIN) 1647734
245 10 - TITLE STATEMENT
Title Chapter Above‐Ground Biomass Estimation with High Spatial Resolution Satellite Images
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc InTechOpen
Date of publication, distribution, etc 2017
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
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-- online resource
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506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Standardized terminology for access restriction Unrestricted online access
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520 ## - SUMMARY, ETC.
Summary, etc Assessment and monitoring of forest biomass are frequently done with allometric functions per species for inventory plots. The estimation per area unit is carried out with an extrapolation method. In this chapter, a review of the recent methods to estimate forest above‐ground biomass (AGB) using remote sensing data is presented. A case study is given with an innovative methodology to estimate above‐ground biomass based on crown horizontal projection obtained with high spatial resolution satellite images for two evergreen oak species. The linear functions fitted for pure, mixed and both compositions showed a good performance. Also, the functions with dummy variables to distinguish species and compositions adjusted had the best performance. An error threshold of 5% corresponds to stand areas of 8.7 and 5.5 ha for the functions of all species and compositions without and with dummy variables. This method enables the overall area evaluation, and it is easily implemented in a geographic information system environment.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
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Uniform Resource Identifier <a href="https://creativecommons.org/licenses/by/3.0/">https://creativecommons.org/licenses/by/3.0/</a>
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Alternative & renewable energy sources & technology
Source of heading or term bicssc
9 (RLIN) 1072221
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term QuickBird, multi‐resolution segmentation, crown horizontal projection, forest inventory, regressions
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Marques daSilva, Jos� R.
Relator code auth
9 (RLIN) 1647735
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sousa, Ad�lia
Relator code auth
9 (RLIN) 1647736
773 1# - HOST ITEM ENTRY
Control subfield nnaa
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Uniform Resource Identifier <a href="https://library.oapen.org/bitstream/id/1a9308eb-f4b0-4d16-aef2-511d370689d6/52664.pdf">https://library.oapen.org/bitstream/id/1a9308eb-f4b0-4d16-aef2-511d370689d6/52664.pdf</a>
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Public note Open Access: OAPEN Library, download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://library.oapen.org/handle/20.500.12657/49214">https://library.oapen.org/handle/20.500.12657/49214</a>
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Public note Open Access: OAPEN Library: description of the publication
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