Improving Forest Aboveground Biomass (AGB) Estimation by Incorporating Crown Density and Using Landsat 8 OLI Images of a Subtropical Forest in Western Hunan in Central China

A comparative assessment of multi-temporal Landsat 8 and machine learning algorithms for estimating aboveground carbon stock in coppice oak forests

(2017) Amir Safari et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Comparison of forest aboveground biomass estimates from passive and active remote sensing sensors over Kayar Khola watershed, Chitwan district, Nepal

(2017) Waqas A. Qazi et al.   Journal of Applied Remote Sensing

Biomass Modeling of Larch (Larix spp.) Plantations in China Based on the Mixed Model, Dummy Variable Model, and Bayesian Hierarchical Model

(2017) Dongsheng Chen et al.   Forests

Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data

(2016) Panpan Zhao et al.   International Journal of Applied Earth Observation and Geoinformation

Vegetation biomass estimation with remote sensing: focus on forest and other wooded land over the Mediterranean ecosystem

(2016) Georgia Galidaki et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation

(2016) Panpan Zhao et al.   Remote Sensing

Landsat Imagery-Based Above Ground Biomass Estimation and Change Investigation Related to Human Activities

(2016) Chaofan Wu et al.   Sustainability

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

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

Review of the use of remote sensing for biomass estimation to support renewable energy generation

(2015) Lalit Kumar et al.   Journal of Applied Remote Sensing

Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest

(2015) Martin Karlson et al.   Remote Sensing

Increasing the Accuracy of Mapping Urban Forest Carbon Density by Combining Spatial Modeling and Spectral Unmixing Analysis

(2015) Hua Sun et al.   Remote Sensing

Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data

(2015) Changming Zhu et al.   Remote Sensing

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

(2014) Dengsheng Lu et al.   International Journal of Digital Earth

Estimating montane forest above-ground biomass in the upper reaches of the Heihe River Basin using Landsat-TM data

(2014) Xin Tian et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimates of Aboveground Biomass from Texture Analysis of Landsat Imagery

(2014) Katharine Kelsey et al.   Remote Sensing

Spatial and temporal variations of forest LAI in China during 2000–2010

(2012) YiBo Liu et al.   CHINESE SCIENCE BULLETIN

Improved Forest Biomass and Carbon Estimations Using Texture Measures from WorldView-2 Satellite Data

(2012) Sandra Eckert   Remote Sensing

Using the dummy variable model approach to construct compatible single-tree biomass equations at different scales — a case study for Masson pine (Pinus massoniana) in southern China

(2011) Wei Sheng Zeng et al.   CANADIAN JOURNAL OF FOREST RESEARCH

Evaluation of different topographic correction methods for Landsat imagery

(2011) Stijn Hantson et al.   International Journal of Applied Earth Observation and Geoinformation

Forest biomass mapping from lidar and radar synergies

(2011) Guoqing Sun et al.   REMOTE SENSING OF ENVIRONMENT

Uncertainties of mapping aboveground forest carbon due to plot locations using national forest inventory plot and remotely sensed data

(2011) Guangxing Wang et al.   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Evaluating the Remote Sensing and Inventory-Based Estimation of Biomass in the Western Carpathians

(2011) Magdalena Main-Knorn et al.   Remote Sensing

Sources of variability in canopy reflectance and the convergent properties of plants

(2010) S. V. Ollinger   NEW PHYTOLOGIST

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

Using satellite radar backscatter to predict above-ground woody biomass: A consistent relationship across four different African landscapes

(2009) E. T. A. Mitchard et al.   GEOPHYSICAL RESEARCH LETTERS

Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

(2009) Gyanesh Chander et al.   REMOTE SENSING OF ENVIRONMENT

Comparison of linear and mixed-effect regression models and a k-nearest neighbour approach for estimation of single-tree biomass

(2008) Lutz Fehrmann et al.   CANADIAN JOURNAL OF FOREST RESEARCH

An empirical comparison of two subject-specific approaches to dominant heights modeling: The dummy variable method and the mixed model method

(2008) Mingliang Wang et al.   FOREST ECOLOGY AND MANAGEMENT

Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information

(2007) J BLACKARD et al.   REMOTE SENSING OF ENVIRONMENT