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
Exploring the Capability of ALOS PALSAR L-Band Fully Polarimetric Data for Land Cover Classification in Tropical Environments
TL;DR: An analysis about the discriminative capability of an L-band fully polarimetric SAR complex image, compared to the possible subsets of polarizations in amplitude/intensity, for mapping land cover classes in Amazon regions was carried out.
Journal ArticleDOI
Assessing relationship of forest biophysical factors with NDVI for carbon management in key coniferous strata of temperate Himalayas
Akhlaq Amin Wani,Amir Bhat,Aaasif Ali Gatoo,Shiba Zahoor,Basira Mehraj,Naveed Najam,Qaisar Shafi Wani,M. A. Islam,Shah Murtaza,Moonisa Aslam Dervash,Pawan Kumar Joshi +10 more
TL;DR: In this paper, a spectral modeling approach was used to assess the relation of Normalized Difference Vegetation Index (NDVI) with biomass carbon, crown density, tree density, slope, altitude, aspect, species, and forest division in temperate conifer region of Himalaya.
Journal ArticleDOI
High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation Biomass: A Case Study of Hainan Island, China
Bangqian Chen,Tin Yun,Jun Ma,Weili Kou,Hailiang Li,Chuan Yang,Xiangming Xiao,Xian Zhang,Rui Sun,Guishui Xie,Zhixiang Wu +10 more
TL;DR: The stand age, which is closely related to the forest biomass, was proposed for biomass estimation in this study and added a stand age parameter to the RF models was found to significantly improve the prediction accuracy.
Journal ArticleDOI
Coniferous Plantations Growing Stock Volume Estimation Using Advanced Remote Sensing Algorithms and Various Fused Data
TL;DR: Wang et al. as mentioned in this paper proposed an adaptive stacking (AdaStacking) model ensemble algorithm to further improve the spatial distribution prediction of growing stock volume (GSV) for supporting the sustainable management of forest ecosystems.
Book ChapterDOI
Above‐Ground Biomass Estimation with High Spatial Resolution Satellite Images
TL;DR: In this paper, a case study is given with an innovative methodology to estimate above ground biomass based on crown horizontal projection obtained with high spatial resolution satellite images for two evergreen oak species.
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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Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
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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.