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Synergetic of PALSAR-2 and Sentinel-1A SAR Polarimetry for Retrieving Aboveground Biomass in Dipterocarp Forest of Malaysia

https://doi.org/10.3390/app7070675
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26/26 checkable references clean · checked 2026-08-29

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

12 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 26 checked references that resolve
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An Evaluation of the ALOS PALSAR L-Band Backscatter—Above Ground Biomass Relationship Queensland, Australia: Impacts of Surface Moisture Condition and Vegetation Structure
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PALSAR 50 m Mosaic Data Based National Level Biomass Estimation in Cambodia for Implementation of REDD+ Mechanism
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A theoretical analysis of the effect of forest structure on synthetic aperture radar backscatter and the remote sensing of biomass
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Combination of SPOT-5 and ALOS PALSAR images in estimating aboveground biomass of lowland Dipterocarp forest
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Quantifying forest above ground carbon content using LiDAR remote sensing
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Interpretation of Polarimetric Radar Signatures of Mangrove Forests
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An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes
resolves10.1016/j.rse.2011.01.008
Aboveground biomass retrieval in tropical forests — The potential of combined X- and L-band SAR data use
resolves10.1038/nclimate2919
Combining satellite data for better tropical forest monitoring
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Estimating aboveground biomass in forest and oil palm plantation in Sabah, Malaysian Borneo using ALOS PALSAR data
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Evaluating the potential to monitor aboveground biomass in forest and oil palm in Sabah, Malaysia, for 2000–2008 with Landsat ETM+ and ALOS-PALSAR
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Potential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation
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Improved allometric models to estimate the aboveground biomass of tropical trees
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The 12 references without a DOI — listed, not checked
no DOI — not checkedEggleston, H.S., Buendia, L., Miwa, K., Ngara, T., and Tanabe, K. (2006). IPCC Guidelines for National Greenhouse Gas Inventories, Japan Institute for Global Environmental Strategies. Prepared by the National Greenhouse Gas Inventories Programme.
no DOI — not checkedSessa, R., and Dolman, H. (2008). Terrestrial Essential Climate Variables for Climate Change Assessment, Mitigation and Adaptation, FAO. FAO GTOS-52.
no DOI — not checkedAngelsen, A., Brown, S., Loisel, C., Peskett, C., Streck, C., and Zarin, D. (2009). Reducing Emission from Deforestation and Degradation (REDD): An Options Assessment Report, Meridian Institute. A Report Prepared for the Government of Norway.
no DOI — not checkedHolmgren, P. (2008). Role of Satellite Remote Sensing in REDD, UN FAO. UN-REDD Programme; MRV Working Paper 1.
no DOI — not checkedDetermining L-band saturation level for aboveground biomass assessment of dipterocarp forests in Peninsular Malaysia
no DOI — not checkedLiangpei, Z., Jianqing, Z., and Mingsheng, L. (November, January 31). Tropical forest plantation biomass estimation using RADARSAT-SAR and TM data of South China. Proceedings of the Fourth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR), Wuhan, China.
no DOI — not checkedRelating radar remote sensing of biomass to modeling of forest carbon budgets
no DOI — not checkedRemotely sensed L-Band SAR data for tropical forest biomass estimation
no DOI — not checkedForestry Department Peninsular Malaysia (2015). Annual Report 2014.
no DOI — not checkedWalker, S.M., Pearson, T.R.H., Casarim, F.M., Harris, N., Petrova, S., Grais, A., Swails, E., Netzer, M., Goslee, K.M., and Brown, S. (2012). Standard Operating Procedures for Terrestrial Carbon Measurement: Version 2014, Winrock International.
no DOI — not checkedEvaluating SAR polarization modes at L-band for forest classification purposes in Eastern Amazon, Brazil
no DOI — not checkedAnalysis of the effect of crown structure changes on backscattering coefficient using modelling and SAR data
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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