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
Inversion of Coniferous Forest Stock Volume Based on Backscatter and InSAR Coherence Factors of Sentinel-1 Hyper-Temporal Images and Spectral Variables of Landsat 8 OLI
TL;DR: Wang et al. as discussed by the authors proposed a feature selection method based on Support Vector Regression (SVR) and compared the FSV estimation performance of FS-SVR and stepwise regression analysis on the aforementioned three remote sensing feature datasets.
Journal ArticleDOI
Exploring the potential of Sentinel-2A satellite data for aboveground biomass estimation in fragmented Himalayan subtropical pine forest
Mobiishir Riaz Khan,Iftikhar Ahmad Khan,Muhammad Hasan Ali Baig,Zhengjia Liu,Muhammad Irfan Ashraf +4 more
TL;DR: In this article, an AGB predictive model using field inventory and Sentinel 2A based spectral and textural parameters along with topographic features derived from ALOS Digital Elevation Model (DEM) was developed to estimate above ground biomass (AGB) of Subtropical pine forest in Pakistan administered Kashmir.
Journal ArticleDOI
Mapping Forest Stock Volume Based on Growth Characteristics of Crown Using Multi-Temporal Landsat 8 OLI and ZY-3 Stereo Images in Planted Eucalyptus Forest
TL;DR: In this paper , three composite images were proposed using acquired Landsat 8 OLI images based on the size and shape of eucalyptus crowns, and several spectra variables were extracted from these composite images.
Journal ArticleDOI
Multivariate estimation for accurate and logically consistent forest-attributes maps at macroscales
TL;DR: In this paper, the authors examined the trade-offs between estimation accuracies versus logical consistency among estimated attributes for macroscales with large forest-attributes variances and wide spacing between full-information locations.
Journal ArticleDOI
Examining the PALSAR-2 Global forest/non-forest maps through Turkish afforestation practices
TL;DR: In this article, Turkish Forest Service has proposed a new policy for afforestation in the World's climate resulting from our insensitive behaviours, policies, ambitions, etc., which has significant importance, given the present course of World’s climate.
References
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Random Forests
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High-Resolution Global Maps of 21st-Century Forest Cover Change
Matthew C. Hansen,Peter Potapov,Rebecca Moore,M. Hancher,Svetlana Turubanova,Alexandra Tyukavina,David Thau,Stephen V. Stehman,Scott J. Goetz,Thomas R. Loveland,Anil Kommareddy,A. Egorov,Louise Chini,Christopher O. Justice,John R. Townshend +14 more
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Journal ArticleDOI
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Assessing the accuracy of remotely sensed data : principles and practices
Russell G. Congalton,Kass Green +1 more
TL;DR: This chapter discusses Accuracy Assessment, which examines the impact of sample design on cost, statistical Validity, and measuring Variability in the context of data collection and analysis.