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
Citations
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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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Journal ArticleDOI
Environmental and Biotic Controls over Aboveground Biomass Throughout a Tropical Rain Forest
TL;DR: In this article, the authors combined field measurements and airborne light detection and ranging (lidar) to quantify 3D structure and aboveground tree biomass across a 5,016-ha rain forest reserve on the northeastern flank of Mauna Kea volcano, Hawaii Island.
Journal ArticleDOI
L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest
Gustaf Sandberg,Lars M. H. Ulander,Lars M. H. Ulander,Johan E. S. Fransson,Johan Holmgren,T. Le Toan +5 more
TL;DR: In this paper, the relation between polarimetric SAR backscatter measurements at low frequencies and forest biomass is investigated using data acquired within the BioSAR-I campaign in southern Sweden during 2007.
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Exploring TM Image Texture and its Relationships with Biomass Estimation in Rondônia, Brazilian Amazon.
Dengsheng Lu,Mateus Batistella +1 more
TL;DR: In this paper, the role of textures in improving the performance of aboveground biomass estimations was examined using Landsat Thematic Mapper (TM) data to explore relationships between TM image textures and aboveground vegetation in Rondonia, Brazilian Amazon.
Journal ArticleDOI
Multitemporal repeat-pass SAR interferometry of boreal forests
TL;DR: The error level for a multitemporal interferometric synthetic aperture radar evaluation of stem volume for large forest stands (>2 ha) in a well managed and homogeneous boreal forest may be expected to be in the 15% to 25% range, deteriorating for small and heterogeneous stands and for images acquired under nonwinter conditions.
Journal ArticleDOI
Forest biomass mapping from lidar and radar synergies
TL;DR: In this article, a stepwise regression was used to select the height indices rh50 and rh75 of the LVIS data for predicting field measured biomass with a R(exp 2) of 0.63-0.71 and RMSE of 31.33 Mg/ha.