Journal ArticleDOI
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
TLDR
A survey of current biomass estimation methods using remote sensing data and discusses four critical issues – collection of field-based biomass reference data, extraction and selection of suitable variables fromRemote sensing data, identification of proper algorithms to develop biomass estimation models, and uncertainty analysis to refine the estimation procedure.Abstract:
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. This paper provides a survey of current biomass estimation methods using remote sensing data and discusses four critical issues – collection of field-based biomass reference data, extraction and selection of suitable variables from remote sensing data, identification of proper algorithms to develop biomass estimation models, and uncertainty analysis to refine the estimation procedure. Additionally, we discuss the impacts of scales on biomass estimation performance and describe a general biomass estimation procedure. Although optical sensor and radar data have been primary sources for AGB estimation, data saturation is an important factor resulting in estimation uncertainty. LIght Detection and Ranging (lidar) can remove data saturation, but limited availability of lidar data prevents its extensive application. This...read more
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Journal ArticleDOI
Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)
TL;DR: The results showed that the AGB models derived from the combination of the Sentinel-2A and the ALOS-2 PALSAR-2 data had the highest accuracy, followed by models using the Sentinel -2A dataset and the AlOS- 2 PALSar-2 dataset.
Journal ArticleDOI
Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
Jie Wang,Xiangming Xiao,Rajen Bajgain,Patrick J. Starks,Jean L. Steiner,Russell Doughty,Qing Chang +6 more
TL;DR: In this article, the authors examined the potential of integrating synthetic aperture radar (SAR, Sentinel-1) and optical remote sensing (Landsat-8 and Sentinel-2) data to monitor the conditions of a native pasture and an introduced pasture in Oklahoma, USA.
Journal ArticleDOI
Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation
TL;DR: The results indicate that pine forest and mixed forest have the highest AGB saturation values and Chinese fir and broadleaf forest have lower saturation values, and bamboo forest and shrub have the lowest saturation values.
Journal ArticleDOI
Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges
TL;DR: This review provides an overview of the techniques that are currently being used to map various attributes of mangrove, summarizes the studies that have been undertaken since 2010 on a variety of remote sensing applications for monitoring mangroves, and addresses the limitations of these studies.
Journal ArticleDOI
Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics
TL;DR: An overview of the definitions of FH is provided, discussing the drivers, processes, stress and adaptation mechanisms of forest plants, and how to observe FH with RS, and the concept of spectral traits (ST) and spectral trait variations (STV) in the context ofFH monitoring is introduced.
References
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Forestry applications of airborne laser scanning : concepts and case studies
TL;DR: In this paper, a model-based approach for the recovery of forest attributes using airborne laser scanning data is presented, which is based on the semi-individual tree crown approach and complementary data sources.
Journal ArticleDOI
Biomass estimation over a large area based on standwise forest inventory data and ASTER and MODIS satellite data: A possibility to verify carbon inventories
TL;DR: In this article, the authors demonstrate the potential of standwise forest inventory data and MODIS satellite data for estimating stand volume (m 3 ha − 1 ) and aboveground biomass (t ha − ǫ 1 ) over a large area of boreal forests in southern Finland.
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Measuring biomass changes due to woody encroachment and deforestation/degradation in a forest-savanna boundary region of central Africa using multi-temporal L-band radar backscatter
Edward T. A. Mitchard,Sassan Saatchi,Simon L. Lewis,Ted R. Feldpausch,Iain Woodhouse,Bonaventure Sonké,Clare S. Rowland,Patrick Meir +7 more
TL;DR: In this paper, the relationship between the radar backscatter and aboveground biomass (AGB) was found to be strong and the root mean square error (RMSE) associated with AGB estimation varied from ~ 25% for AGB 100 Mg ha− 1 for the ALOS HV data.
Journal ArticleDOI
Mapping tropical forest structure in southeastern Madagascar using remote sensing and artificial neural networks
TL;DR: In this article, the authors investigated the utility of remote sensing for assessing, predicting and mapping two important forest structural features, stem density and basal area, in tropical, littoral forests in southeastern Madagascar.
Journal ArticleDOI
Polarization coherence tomography
TL;DR: In this paper, a new radar-imaging technique, called polarization coherence tomography (PCT), was introduced, which employs variation of the interferometric coherence with polarization to reconstruct a vertical profile function in penetrable volume scattering.