Spatiotemporal Variations of Aboveground Biomass under Different Terrain Conditions

Mapping boreal forest biomass from a SRTM and TanDEM-X based on canopy height model and Landsat spectral indices

(2018) Yaser Sadeghi et al.   International Journal of Applied Earth Observation and Geoinformation

Comparative Analysis of Modeling Algorithms for Forest Aboveground Biomass Estimation in a Subtropical Region

(2018) Yukun Gao et al.   Remote Sensing

Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest

(2018) Manqi Li et al.   GIScience & Remote Sensing

A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data

(2018) Trung Nguyen et al.   Remote Sensing

Using nonparametric modeling approaches and remote sensing imagery to estimate ecological welfare forest biomass

(2017) Chaofan Wu et al.   JOURNAL OF FORESTRY RESEARCH

Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests

(2016) Gaia Vaglio Laurin et al.   International Journal of Applied Earth Observation and Geoinformation

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Comparison of machine-learning methods for above-ground biomass estimation based on Landsat imagery

(2016) Chaofan Wu et al.   Journal of Applied 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

Stratified aboveground forest biomass estimation by remote sensing data

(2015) Hooman Latifi et al.   International Journal of Applied Earth Observation and Geoinformation

Analysis of uncertainty in multi-temporal object-based classification

(2015) Fabian Löw et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa

(2015) Timothy Dube et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

(2015) Jochem Verrelst et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the Random Forest algorithm

(2015) Oumer S. Ahmed et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

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

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Influence of soil and topography on aboveground biomass accumulation and carbon stocks of afforested pastures in South East Brazil

(2014) Dietmar Sattler et al.   ECOLOGICAL ENGINEERING

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

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

Historical forest biomass dynamics modelled with Landsat spectral trajectories

(2014) Cristina Gómez et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2014) D.P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass

(2014) F.E. Fassnacht et al.   REMOTE SENSING OF ENVIRONMENT

Intra-and-Inter Species Biomass Prediction in a Plantation Forest: Testing the Utility of High Spatial Resolution Spaceborne Multispectral RapidEye Sensor and Advanced Machine Learning Algorithms

(2014) Timothy Dube et al.   SENSORS

An Application of Remote Sensing Data in Mapping Landscape-Level Forest Biomass for Monitoring the Effectiveness of Forest Policies in Northeastern China

(2013) Xinchuang Wang et al.   ENVIRONMENTAL MANAGEMENT

Assessment of carbon stores in tree biomass for two management scenarios in Russia

(2013) Jacquelyn K Shuman et al.   Environmental Research Letters

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

(2013) Dirk Pflugmacher et al.   REMOTE SENSING OF ENVIRONMENT

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

(2012) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

Estimating the fractional cover of growth forms and bare surface in savannas. A multi-resolution approach based on regression tree ensembles

(2012) Ursula Gessner et al.   REMOTE SENSING OF ENVIRONMENT

A Large and Persistent Carbon Sink in the World's Forests

(2011) Y. Pan et al.   SCIENCE

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

Impact of Hillslope-Scale Organization of Topography, Soil Moisture, Soil Temperature, and Vegetation on Modeling Surface Microwave Radiation Emission

(2009) A.N. Flores et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING