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
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Journal ArticleDOI
Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
Eduarda Martiniano de Oliveira Silveira,Volker C. Radeloff,Sebastián Martinuzzi,Guillermo Martínez Pastur,Julieta Bono,Natalia Politi,Leonidas Lizarraga,Luis Rivera,Lucia Ciuffoli,Yamina Micaela Rosas,Ashley M. Olah,Gregorio I. Gavier-Pizarro,Anna M. Pidgeon +12 more
TL;DR: In this article , the authors used synthetic aperture radar (SAR) and optical remote sensing (ORS) to map forest structure attributes (diameter at breast height, basal area, mean height, dominant height, wood volume and canopy cover) at 30-m resolution across the diverse 463,000 km2 of native forests of Argentina based on SAR Sentinel-1, vegetation metrics from Sentinel-2 and geographic coordinates.
Journal ArticleDOI
Mapping Woody Volume of Mediterranean Forests by Using SAR and Machine Learning: A Case Study in Central Italy
Emanuele Santi,Marta Chiesi,Giacomo Fontanelli,Alessandro Lapini,Simonetta Paloscia,Simone Pettinato,Giuliano Ramat,Leonardo Santurri +7 more
TL;DR: In this paper, an approach based on an artificial neural network (ANN) was implemented to estimate forest biomass in Tuscany, in Central Italy, using ground measurements of woody volume (WV, in m3/ha).
Journal ArticleDOI
Mapping Forest Vertical Structure in Sogwang-ri Forest from Full-Waveform Lidar Point Clouds Using Deep Neural Network
TL;DR: Li et al. as mentioned in this paper proposed a method for estimating the vertical structure of forests based on full-wave-form light detection and ranging (FW LiDAR) data in this study.
Monitoring miombo woodlands of Southern Africa with multi-source information in a model-based framework
TL;DR: In this article, the authors present a Table of Table of contents for the table of contents of the table: https://www.tableoffeatures.com/table-of-features/
Journal ArticleDOI
Exploring the inclusion of small regenerating trees to improve above-ground forest biomass estimation using geospatial data
TL;DR: This study suggests that for young, open forests where there are many small regenerating trees, the contribution of understory biomass should be taken into consideration to improve total AGB estimation.
References
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Journal ArticleDOI
Random Forests
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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
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.