4.7 Article

Random Forest Regression Model for Estimation of the Growing Stock Volumes in Georgia, USA, Using Dense Landsat Time Series and FIA Dataset

Related references

Note: Only part of the references are listed.
Article Remote Sensing

Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data

Trung H. Nguyen et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2020)

Article Environmental Sciences

Demonstrating the transferability of forest inventory attribute models derived using airborne laser scanning data

Piotr Tompalski et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Environmental Sciences

An empirical, integrated forest biomass monitoring system

Robert E. Kennedy et al.

ENVIRONMENTAL RESEARCH LETTERS (2018)

Article Remote Sensing

Updating stand-level forest inventories using airborne laser scanning and Landsat time series data

Douglas K. Bolton et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)

Article Geography, Physical

Harmonic regression of Landsat time series for modeling attributes from national forest inventory data

Barry T. Wilson et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Review Forestry

Applications of the United States Forest Inventory and Analysis dataset: a review and future directions

Wade T. Tinkham et al.

CANADIAN JOURNAL OF FOREST RESEARCH (2018)

Article Environmental Sciences

Cloud detection algorithm comparison and validation for operational Landsat data products

Steve Foga et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Article Environmental Sciences

Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Review Environmental Sciences

A questionnaire-based review of the operational use of remotely sensed data by national forest inventories

Frank Barrett et al.

REMOTE SENSING OF ENVIRONMENT (2016)

Article Geography, Physical

A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

Dengsheng Lu et al.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2016)

Article Geography, Physical

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

Xiaolin Zhu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2015)

Article Environmental Sciences

Improving artificial forest biomass estimates using afforestation age information from time series Landsat stacks

Liangyun Liu et al.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2014)

Article Geochemistry & Geophysics

On-the-Fly Massively Multitemporal Change Detection Using Statistical Quality Control Charts and Landsat Data

Evan B. Brooks et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)

Article Environmental Sciences

Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics

Dirk Pflugmacher et al.

REMOTE SENSING OF ENVIRONMENT (2014)

Article Environmental Sciences

Landsat-8: Science and product vision for terrestrial global change research

D. P. Roy et al.

REMOTE SENSING OF ENVIRONMENT (2014)

Article Environmental Sciences

Continuous change detection and classification of land cover using all available Landsat data

Zhe Zhu et al.

REMOTE SENSING OF ENVIRONMENT (2014)

Article Statistics & Probability

Bias-corrected random forests in regression

Guoyi Zhang et al.

JOURNAL OF APPLIED STATISTICS (2012)

Article Environmental Sciences

Using Landsat-derived disturbance history (1972-2010) to predict current forest structure

Dirk Pflugmacher et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Environmental Sciences

Object-based cloud and cloud shadow detection in Landsat imagery

Zhe Zhu et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Environmental Sciences

Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan

Robert E. Kennedy et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Environmental Sciences

Diagnostic tools for nearest neighbors techniques when used with satellite imagery

Ronald E. McRoberts

REMOTE SENSING OF ENVIRONMENT (2009)

Article Environmental Sciences

Noise reduction of NDVI time series: An empirical comparison of selected techniques

Jennifer N. Hird et al.

REMOTE SENSING OF ENVIRONMENT (2009)

Article Multidisciplinary Sciences

Free Access to Landsat Imagery

C. E. Woodcock et al.

SCIENCE (2008)

Article Agricultural Engineering

Above-ground biomass functions for Scots pine in Lithuania

Virgilijus Miksys et al.

BIOMASS & BIOENERGY (2007)

Article Geochemistry & Geophysics

A Landsat surface reflectance dataset for North America, 1990-2000

JG Masek et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2006)

Article Forestry

Spatially explicit sustainability analysis of long-term fiber supply in Georgia, USA

CJ Cieszewski et al.

FOREST ECOLOGY AND MANAGEMENT (2004)

Article Agriculture, Multidisciplinary

Applications using estimates of forest parameters derived from satellite and forest inventory data

H Reese et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2002)

Article Environmental Sciences

Forest inventory and analysis: a national inventory and monitoring program

WB Smith

ENVIRONMENTAL POLLUTION (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Environmental Sciences

Estimation and mapping of forest stand density, volume, and cover type using the k-nearest neighbors method

H Franco-Lopez et al.

REMOTE SENSING OF ENVIRONMENT (2001)

Article Environmental Sciences

Land-surface phenologies from AVHRR using the discrete fourier transform

A Moody et al.

REMOTE SENSING OF ENVIRONMENT (2001)