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
Comparative Analysis of Remote Sensing and Geo-Statistical Techniques to Quantify Forest Biomass
Naveed Ahmad,Saleem Ullah,Na Zhao,Faisal Mumtaz,Asad Ali,Anwar Ali,Aqil Tariq,Mariam Kareem,A.B. Imran,Ishtiaq Ahmad Khan,Muhammad Zeeshan Shakir +10 more
TL;DR: In this article , the estimation of biomass using Sentinel-2 remote sensing data in moist temperate forests in the Galies region of Abbottabad Pakistan was studied, and the results illustrate that the atmospherically resistant vegetation index (ARVI) is the best index (R2 = 0.67) for estimating AGB.
Journal ArticleDOI
A combination of climate, tree diversity and local human disturbance determine the stability of dry Afromontane forests
Hadgu Hishe,Hadgu Hishe,Louis Oosterlynck,Kidane Giday,Wanda De Keersmaecker,Wanda De Keersmaecker,Ben Somers,Bart Muys +7 more
TL;DR: In this article, the authors explored remote sensing derived indicators of forest stability, using MODIS satellite derived NDVI time series from 2001 to 2018, and measured resilience and resistance using the anomalies (remainders) after time series decomposition into seasonality, trend and remainder components.
Journal ArticleDOI
Vegetation mapping of No Name Key, Florida using lidar and multispectral remote sensing
TL;DR: In this article, LiDAR data have been widely used in the areas of ecological studies due to lidar's ability to provide information on the vertical structure of vegetation in wildlife habitats.
Journal ArticleDOI
Modeling Forest Aboveground Carbon Density in the Brazilian Amazon with Integration of MODIS and Airborne LiDAR Data
TL;DR: This research aimed to explore an approach for estimating aboveground carbon density (ACD) in the Brazilian Amazon through integration of MODIS and a limited number of light detection and ranging (Lidar) data samples using linear regression and random forest algorithms, respectively.
Journal ArticleDOI
A comparative analysis of modeling approaches and canopy height-based data sources for mapping forest growing stock volume in a northern subtropical ecosystem of China
TL;DR: In this paper , a hierarchical Bayesian approach (HBA) was used for forest growing stock volume (FGSV) estimation in a northern subtropical forest ecosystem, and the results showed that L-CHM provides better predictions than L-Lidar using the same modeling approach.
References
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Random Forests
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Journal ArticleDOI
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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
TL;DR: This paper presents a tuning method that uses presence-only data for parameter tuning, and introduces several concepts that improve the predictive accuracy and running time of Maxent and describes a new logistic output format that gives an estimate of probability of presence.
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.