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
Aboveground Biomass Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods
TL;DR: In this article , an accurate and efficient method of predicting the aboveground biomass (AGB) of a shrub community is proposed for studying the spatial patterns and ecological functions of the desert region.
Journal ArticleDOI
Mapping Forest Canopy Height at Large Scales Using ICESat-2 and Landsat: An Ecological Zoning Random Forest Approach
TL;DR: Li et al. as mentioned in this paper proposed an ecological zoning random forest (EZRF) model in 33 ecological zones in China and produced a 30-m continuous FCH map by the EZRF model.
Journal ArticleDOI
Synergistic use of Sentinel-1, Sentinel-2, and Landsat 8 in predicting forest variables
TL;DR: In this paper , the authors explored the potential of individual satellite bands/indices and the integration of different sensors in predicting mean CC, mean DBH, and mean TH in the plots dominated by four tree species.
Journal ArticleDOI
Mapping Forest Canopy Height at Large Scales Using ICESat-2 and Landsat: An Ecological Zoning Random Forest Approach
TL;DR: Li et al. as discussed by the authors proposed an ecological zoning random forest (EZRF) model in 33 ecological zones in China and produced a 30-m continuous FCH map by the EZRF model.
Proceedings ArticleDOI
Agent-Based Crop Model for Smart Irrigation: Design of a State Estimator
TL;DR: In this paper , an agent-based model (ABM) of a discretized field and by using state estimation techniques are presented and simulated under two different climatic scenarios to assess the performance of the estimation techniques.
References
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