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
Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil.
Leonardo Fiusa de Morais,Ana Clara Rodrigues Cavalcante,Deodato do Nascimento Aquino,Felipe Hermínio Meireles Nogueira,Magno José Duarte Cândido +4 more
TL;DR: In this paper, the spectral responses and land cover change by livestock in regions of the Caatinga biome through remote sensing were analyzed using the Google Earth Engine platform (GEE) and software Quantum GIS version 2.18.
Journal ArticleDOI
A Review of Land Cover Information using H/A/Α Polarimetric Decomposition of Dual Pol Sar Data
TL;DR: In this article , the polarimetric decomposition of dual polarized ALOS PALSAR data over an area of Munger in the state of Bihar, India was used for land feature detection.
Journal ArticleDOI
Aboveground biomass estimation in dry forest in northeastern Brazil using metrics extracted from Sentinel-2 data: comparing parametric and non-parametric estimation methods
Márcia Rodrigues de Moura Fernandes,Gilson Fernandes da Silva,André Quintão de Almeida,Milton Marques Fernandes,Adriano Ribeiro de Mendonça,Fabio Guimarães Gonçalves,Daniel Henrique Breda Binoti,Jeferson Pereira Martins Silva +7 more
TL;DR: In this paper , the spectral and texture variables extracted from an MSI/Sentinel-2 image were used for the estimation and mapping of AGB in a fragment of Caatinga vegetation in northeastern Brazil.
Journal ArticleDOI
Fine-Resolution Forest Height Estimation by Integrating ICESat-2 and Landsat 8 OLI Data with a Spatial Downscaling Method for Aboveground Biomass Quantification
TL;DR: In this paper , a random forest (RF)-based down-scaling method was proposed to map forest height and biomass at a 15m resolution by integrating Landsat 8 OLI and ICESat-2 LiDAR data.
References
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Random Forests
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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
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Journal ArticleDOI
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.