Machine learning prediction of above-ground biomass in pure Calabrian pine (Pinus brutia Ten.) stands of the Mediterranean region, Türkiye

Evaluating statistical and combine method to predict stand above-ground biomass using remotely sensed data

(2022) Sinan Bulut et al.   Arabian Journal of Geosciences

Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests

(2022) Juan Guerra-Hernández et al.   GIScience & Remote Sensing

Estimation of biomass burning emissions by integrating ICESat-2, Landsat 8, and Sentinel-1 data

(2022) Meng Liu et al.   REMOTE SENSING OF ENVIRONMENT

Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning

(2021) Yun Chen et al.   Remote Sensing

Multicollinearity

(2021) Michail Tsagris et al.   AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS

Assessment of Above-Ground Biomass in Pakistan Forest Ecosystem’s Carbon Pool: A Review

(2021) Ishfaq Ahmad Khan et al.   Forests

Prediction of Forest Aboveground Biomass Using Multitemporal Multispectral Remote Sensing Data

(2021) Parth Naik et al.   Remote Sensing

Estimating the aboveground biomass of coniferous forest in Northeast China using spectral variables, land surface temperature and soil moisture

(2021) Fugen Jiang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Validated and Accurate Method for Quantifying and Extrapolating Mangrove Above-Ground Biomass Using LiDAR Data

(2021) Rafaela B. Salum et al.   Remote Sensing

Employing artificial neural network for effective biomass prediction: An alternative approach

(2021) Şükrü Teoman Güner et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Aboveground biomass estimation of black locust planted forests with aspect variable using machine learning regression algorithms

(2021) Quanping Ye et al.   ECOLOGICAL INDICATORS

Variation in biomass and nutrients allocation of Corydalis hendersonii on the Tibetan Plateau with increasing rainfall continentality and altitude

(2021) Qien Li et al.   ECOLOGICAL INDICATORS

Improving forest above ground biomass estimates over Indian forests using multi source data sets with machine learning algorithm

(2021) Rakesh Fararoda et al.   Ecological Informatics

Above-ground biomass storage potential in primary rain forests managed for timber production in Costa Rica

(2021) Leslie Morrison Vila et al.   FOREST ECOLOGY AND MANAGEMENT

A Global Bottom‐Up Approach to Estimate Fuel Consumed by Fires Using Above Ground Biomass Observations

(2021) F. Di Giuseppe et al.   GEOPHYSICAL RESEARCH LETTERS

Above-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat

(2021) S. Puliti et al.   REMOTE SENSING OF ENVIRONMENT

Machine learning prediction of mechanical properties of braided-textile reinforced tubular structures

(2021) Wenhao Wang et al.   MATERIALS & DESIGN

Monitoring Mega-Crown Leaf Turnover from Space

(2020) Emma R. Bush et al.   Remote Sensing

Carbon sink potential and allocation in above- and below-ground biomass in willow coppice

(2020) Marcin Pietrzykowski et al.   JOURNAL OF FORESTRY RESEARCH

Estimating aboveground biomass using Landsat 8 OLI satellite image in pure Crimean pine (Pinus nigra J.F. Arnold subsp. pallasiana (Lamb.) Holmboe) stands: a case from Turkey

(2020) Ramazan Turgut et al.   Geocarto International

Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data

(2020) Tianyu Hu et al.   Remote Sensing

Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms

(2020) Yingchang Li et al.   Scientific Reports

Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

(2020) Binh Thai Pham et al.   Symmetry-Basel

Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia

(2020) Habitamu Taddese et al.   Remote Sensing

Mapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data

(2020) Maciej J. Soja et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region

(2019) Heikki Astola et al.   REMOTE SENSING OF ENVIRONMENT

A comparison of multiple methods for mapping local-scale mesquite tree aboveground biomass with remotely sensed data

(2019) Nian-Wei Ku et al.   BIOMASS & BIOENERGY

Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery

(2019) Yanan Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data

(2019) Linjing Zhang et al.   Remote Sensing

Modelling above-ground biomass stock over Norway using national forest inventory data with ArcticDEM and Sentinel-2 data

(2019) S. Puliti et al.   REMOTE SENSING OF ENVIRONMENT

Modeling of Aboveground Biomass with Landsat 8 OLI and Machine Learning in Temperate Forests

(2019) Pablito M. López-Serrano et al.   Forests

The biomass distribution on Earth

(2018) Yinon M. Bar-On et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Forest biomass-carbon variation affected by the climatic and topographic factors in Pearl River Delta, South China

(2018) Gang Wang et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Comparison of machine learning algorithms for forest parameter estimations and application for forest quality assessments

(2018) Qingxia Zhao et al.   FOREST ECOLOGY AND MANAGEMENT

Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region?

(2016) Paul Schumacher et al.   Remote Sensing

Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data

(2016) Pablito López-Serrano et al.   Remote Sensing

Estimating spatiotemporal patterns of aboveground biomass using Landsat TM and MODIS images in the Mu Us Sandy Land, China

(2015) Feng Yan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series

(2015) Xiaolin Zhu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines

(2015) V. Rodriguez-Galiano et al.   ORE GEOLOGY REVIEWS

Retrieval of Mangrove Aboveground Biomass at the Individual Species Level with WorldView-2 Images

(2015) Yuanhui Zhu et al.   Remote Sensing

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Effect of field plot location on estimating tropical forest above-ground biomass in Nepal using airborne laser scanning data

(2014) Parvez Rana et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Does functional trait diversity predict above-ground biomass and productivity of tropical forests? Testing three alternative hypotheses

(2014) Bryan Finegan et al.   JOURNAL OF ECOLOGY

Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests

(2010) Wim Aertsen et al.   ECOLOGICAL MODELLING

Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

(2010) Scott L. Powell et al.   REMOTE SENSING OF ENVIRONMENT

Environmental and Biotic Controls over Aboveground Biomass Throughout a Tropical Rain Forest

(2008) Gregory P. Asner et al.   ECOSYSTEMS