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
Estimation of above-ground biomass in tropical afro-montane forest using Sentinel-2 derived indices
Seid Muhe,Mekuria Argaw +1 more
TL;DR: In this paper , the potential use of multispectral (MS) bands, vegetation indices and biophysical variables derived from Sentinel-2 images in modeling above-ground biomass (AGB) in tropical afro-montane forest of the Yayu biosphere reserve was examined.
Dissertation
Remote sensing grass quantity under different grassland management treatments practised in the Southern African rangelands.
TL;DR: Theodorakopoulos et al. as mentioned in this paper have obtained a Doctor of Philosophy in Environmental Science. University of KwaZulu-Natal, Pietermaritzburg 2016.
Journal ArticleDOI
Biomass estimates derived from sector subsampling of 360° spherical images
TL;DR: The authors applied sector subsampling of spherical images to estimate aboveground biomass and compared their image-based estimates with field data collected from three early spacing trials on western Newfoundland Island in eastern Canada.
Journal ArticleDOI
Above-Ground Biomass Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images
TL;DR: Wang et al. as discussed by the authors used regression kriging to improve the estimation of forest above-ground biomass (AGB) using the Landsat 9 image in Wangyedian forest farm, northern China.
Book ChapterDOI
Biomass Estimation Using Satellite-Based Data
TL;DR: In this paper, the authors present different types of predicted variables derived from multi-sources sensors, such as original spectral bands, transformed images, vegetation indices, textural features, and different regression algorithms used (parametric and non-parametric) that contribute to a more robust, practical and cost-effective approach for forest AGB estimation at different levels.
References
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Journal ArticleDOI
Random Forests
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
Journal ArticleDOI
Maximum entropy modeling of species geographic distributions
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Journal ArticleDOI
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
TL;DR: Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally, and boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms.
Journal ArticleDOI
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
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BookDOI
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.