A two-scale approach for estimating forest aboveground biomass with optical remote sensing images in a subtropical forest of Nepal (Record no. 59639)

000 -LEADER
fixed length control field 00595nab|a22002177a|4500
001 - CONTROL NUMBER
control field 59639
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190327195220.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180717s2018||||gw |||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1993-0607
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1007/s11676-018-0743-1
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Koju, U.A.
9 (RLIN) 7776
245 1# - TITLE STATEMENT
Title A two-scale approach for estimating forest aboveground biomass with optical remote sensing images in a subtropical forest of Nepal
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Berlin, Germany :
Name of publisher, distributor, etc. Northeast Forestry University,
-- Springer,
Date of publication, distribution, etc. 2018.
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. Forests account for 80% of the total carbon exchange between the atmosphere and terrestrial ecosystems. Thus, to better manage our responses to global warming, it is important to monitor and assess forest aboveground carbon and forest aboveground biomass (FAGB). Different levels of detail are needed to estimate FAGB at local, regional and national scales. Multi-scale remote sensing analysis from high, medium and coarse spatial resolution data, along with field sampling, is one approach often used. However, the methods developed are still time consuming, expensive, and inconvenient for systematic monitoring, especially for developing countries, as they require vast numbers of field samples for upscaling. Here, we recommend a convenient two-scale approach to estimate FAGB that was tested in our study sites. The study was conducted in the Chitwan district of Nepal using GeoEye-1 (0.5 m), Landsat (30 m) and Google Earth very high resolution (GEVHR) Quickbird (0.65 m) images. For the local scale (Kayerkhola watershed), tree crowns of the area were delineated by the object-based image analysis technique on GeoEye images. An overall accuracy of 83% was obtained in the delineation of tree canopy cover (TCC) per plot. A TCC vs. FAGB model was developed based on the TCC estimations from GeoEye and FAGB measurements from field sample plots. A coefficient of determination (R2) of 0.76 was obtained in the modelling, and a value of 0.83 was obtained in the validation of the model. To upscale FAGB to the entire district, open source GEVHR images were used as virtual field plots. We delineated their TCC values and then calculated FAGB based on a TCC versus FAGB model. Using the multivariate adaptive regression splines machine learning algorithm, we developed a model from the relationship between the FAGB of GEVHR virtual plots with predictor parameters from Landsat 8 bands and vegetation indices. The model was then used to extrapolate FAGB to the entire district. This approach considerably reduced the need for field data and commercial very high resolution imagery while achieving two-scale forest information and FAGB estimates at high resolution (30 m) and accuracy (R2 = 0.76 and 0.7) with minimal error (RMSE = 64 and 38 tons ha?1) at local and regional scales. This methodology is a promising technique for cost-effective FAGB and carbon estimations and can be replicated with limited resources and time. The method is especially applicable for developing countries that have low budgets for carbon estimations, and it is also applicable to the Reducing Emissions from Deforestation and Forest Degradation (REDD +) monitoring reporting and verification processes.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Maharjan, S. : Not in IRS staff list but CIMMYT Affiliation
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 7299
Topical term or geographic name as entry element Ecosystem services
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 5702
Topical term or geographic name as entry element Forests
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1897
Topical term or geographic name as entry element Biomass
Miscellaneous information AGROVOC
651 #7 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Source of heading or term AGROVOC
9 (RLIN) 3932
Geographic name Nepal
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, J.
9 (RLIN) 7779
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Maharjan, S.
9 (RLIN) 7780
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhang, S.
9 (RLIN) 7781
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bai, Y.
9 (RLIN) 7783
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Vijayakumar, D.B.I.P.
9 (RLIN) 7784
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fengmei, Y.
9 (RLIN) 7785
773 0# - HOST ITEM ENTRY
Title Journal of Forestry Research
Related parts In press
Place, publisher, and date of publication Northeast Forestry University, Springer, 2018.
International Standard Serial Number 1993-0607
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://46.20.115.203/download/cis/59639.pdf
Link text Access only for CIMMYT Staff
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Source of classification or shelving scheme
Suppress in OPAC 0
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Date acquired Date last seen Price effective from Koha item type
  Not Lost       CIMMYT Staff Publications Collection CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 2018-07-17 2018-07-17 2018-07-17 Article
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