Related references
Note: Only part of the references are listed.Combining TanDEM-X and Sentinel-2 for large-area species-wise prediction of forest biomass and volume
Henrik J. Persson et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)
Integrating airborne laser scanning data, space-borne radar data and digital aerial imagery to estimate aboveground carbon stock in Hyrcanian forests, Iran
Maryam Poorazimy et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Machine learning and geostatistical approaches for estimating aboveground biomass in Chinese subtropical forests
Huiyi Su et al.
FOREST ECOSYSTEMS (2020)
Tree diversity assessment and above ground forests biomass estimation using SAR remote sensing: A case study of higher altitude vegetation of North-East Himalayas, India
Amit Kumar et al.
PHYSICS AND CHEMISTRY OF THE EARTH (2019)
Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region
Heikki Astola et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery
Yanan Liu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)
Benefits of the free and open Landsat data policy
Zhe Zhu et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
Linjing Zhang et al.
REMOTE SENSING (2019)
Forest biomass estimation using remote sensing and field inventory: a case study of Tripura, India
Prem Chandra Pandey et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2019)
Prediction of Aboveground Biomass from Low-Density LiDAR Data: Validation over P. radiata Data from a Region North of Spain
Leyre-Torre Tojal et al.
FORESTS (2019)
Validation of Sentinel-2 fAPAR products using ground observations across three forest ecosystems
Birgitta Putzenlechner et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Integration of UAV, Sentinel-1, and Sentinel-2 Data for Mangrove Plantation Aboveground Biomass Monitoring in Senegal
Jose Antonio Navarro et al.
REMOTE SENSING (2019)
Integrating Sentinel-1A SAR data and GIS to estimate aboveground biomass and carbon accumulation for tropical forest types in Thuan Chau district, Vietnam
Manh Van Pham et al.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2019)
Estimating and mapping forest biomass using regression models and Spot-6 images (case study: Hyrcanian forests of north of Iran)
Mohadeseh Ghanbari Motlagh et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2018)
Exploiting the capabilities of the Sentinel-2 multi spectral instrument for predicting growing stock volume in forest ecosystems
Matteo Mura et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)
Above-ground biomass prediction by Sentinel-1 multitemporal data in central Italy with integration of ALOS2 and Sentinel-2 data
Gaia Vaglio Laurin et al.
JOURNAL OF APPLIED REMOTE SENSING (2018)
Estimating Above-Ground Biomass in Sub-Tropical Buffer Zone Community Forests, Nepal, Using Sentinel 2 Data
Santa Pandit et al.
REMOTE SENSING (2018)
SAR-Based Estimation of Above-Ground Biomass and Its Changes in Tropical Forests of Kalimantan Using L- and C-Band
Anna Berninger et al.
REMOTE SENSING (2018)
Significance of dual polarimetric synthetic aperture radar in biomass retrieval: An attempt on Sentinel-1
Shoba Periasamy
REMOTE SENSING OF ENVIRONMENT (2018)
Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery
Lin Chen et al.
FORESTS (2018)
Assessment of Forest above Ground Biomass Estimation Using Multi-Temporal C-band Sentinel-1 and Polarimetric L-band PALSAR-2 Data
Xiaodong Huang et al.
REMOTE SENSING (2018)
Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest
Sujit Madhab Ghosh et al.
APPLIED GEOGRAPHY (2018)
Mapping growing stock volume and forest live biomass: a case study of the Polissya region of Ukraine
Andrii Bilous et al.
ENVIRONMENTAL RESEARCH LETTERS (2017)
Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery
Jose Alan A. Castillo et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)
Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms
Lien T. H. Pham et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)
Comparison of Sentinel-2 and Landsat 8 in the estimation of boreal forest canopy cover and leaf area index
Lauri Korhonen et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Assessing the relationships between growing stock volume and Sentinel-2 imagery in a Mediterranean forest ecosystem
Irene Chrysafis et al.
REMOTE SENSING LETTERS (2017)
Remote Sensing of Above-Ground Biomass
Lalit Kumar et al.
REMOTE SENSING (2017)
Synergetic of PALSAR-2 and Sentinel-1A SAR Polarimetry for Retrieving Aboveground Biomass in Dipterocarp Forest of Malaysia
Hamdan Omar et al.
APPLIED SCIENCES-BASEL (2017)
A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
Pablito M. Lopez-Serrano et al.
CANADIAN JOURNAL OF REMOTE SENSING (2016)
Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data
Panpan Zhao et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2016)
SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity
Alfonso Fernandez-Manso et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2016)
Comparison of machine-learning methods for above-ground biomass estimation based on Landsat imagery
Chaofan Wu et al.
JOURNAL OF APPLIED REMOTE SENSING (2016)
Developing synergy regression models with space-borne ALOS PALSAR and Landsat TM sensors for retrieving tropical forest biomass
Suman Sinha et al.
JOURNAL OF EARTH SYSTEM SCIENCE (2016)
A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data
Gherardo Chirici et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Quantifying Live Aboveground Biomass and Forest Disturbance of Mountainous Natural and Plantation Forests in Northern Guangdong, China, Based on Multi-Temporal Landsat, PALSAR and Field Plot Data
Wenjuan Shen et al.
REMOTE SENSING (2016)
First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe
Markus Immitzer et al.
REMOTE SENSING (2016)
A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
Pablito M. Lopez-Serrano et al.
CANADIAN JOURNAL OF REMOTE SENSING (2016)
A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Dengsheng Lu et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2016)
Estimating biomass and carbon mitigation of temperate coniferous forests using spectral modeling and field inventory data
Akhlaq Amin Wani et al.
ECOLOGICAL INFORMATICS (2015)
Mapping aboveground woody biomass using forest inventory, remote sensing and geostatistical techniques
Bechu K. V. Yadav et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2015)
A review of radar remote sensing for biomass estimation
S. Sinha et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2015)
Biomass estimation with high resolution satellite images: A case study of Quercus rotundifolia
Adelia M. O. Sousa et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2015)
Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series
Xiaolin Zhu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2015)
Optimizing the k-Nearest Neighbors technique for estimating forest aboveground biomass using airborne laser scanning data
Ronald E. McRoberts et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Estimation of Alpine Forest Structural Variables from Imaging Spectrometer Data
Parviz Fatehi et al.
REMOTE SENSING (2015)
Mapping attributes of Canada's forests at moderate resolution through kNN and MODIS imagery
A. Beaudoin et al.
CANADIAN JOURNAL OF FOREST RESEARCH (2014)
Estimating montane forest above-ground biomass in the upper reaches of the Heihe River Basin using Landsat-TM data
Xin Tian et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2014)
Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics
Dirk Pflugmacher et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests
Mihai A. Tanase et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Derivation of a tasselled cap transformation based on Landsat 8 at-satellite reflectance
Muhammad Hasan Ali Baig et al.
REMOTE SENSING LETTERS (2014)
Geospatial Strategy for Tropical Forest-Wildlife Reserve Biomass Estimation
Pavan Kumar et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2013)
Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa
Gaia Vaglio Laurin et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2013)
Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm
Jaehoon Jung et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)
Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation
William James Frampton et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)
Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics
Kazuo Ouchi
REMOTE SENSING (2013)
Sensitivity of the backscatter intensity of ALOS/PALSAR to the above-ground biomass and other biophysical parameters of boreal forest in Alaska
Rikie Suzuki et al.
POLAR SCIENCE (2013)
Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground biomass and biomass components in a coastal temperate forest
Olivier W. Tsui et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2012)
Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
M. Drusch et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Support vector machines in remote sensing: A review
Giorgos Mountrakis et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)
A Large and Persistent Carbon Sink in the World's Forests
Yude Pan et al.
SCIENCE (2011)
Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content
Jesus Delegido et al.
SENSORS (2011)
Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors
Hooman Latifi et al.
FORESTRY (2010)
Improved strategy for estimating stem volume and forest biomass using moderate resolution remote sensing data and GIS
Arief Wijaya et al.
JOURNAL OF FORESTRY RESEARCH (2010)
Biophysical Parameter Estimation With a Semisupervised Support Vector Machine
Gustavo Camps-Valls et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2009)
Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory
Hans Fuchs et al.
REMOTE SENSING OF ENVIRONMENT (2009)
PROSPECT plus SAIL models: A review of use for vegetation characterization
Stephane Jacquemoud et al.
REMOTE SENSING OF ENVIRONMENT (2009)
Reaction wood drying kinetics: tension wood in Fagus sylvatica and compression wood in Picea abies
A. Tarmian et al.
WOOD SCIENCE AND TECHNOLOGY (2009)
Combining national forest inventory field plots and remote sensing data for forest databases
Erkki Tomppo et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery
Ronald E. McRoberts et al.
REMOTE SENSING OF ENVIRONMENT (2007)
Modeling forest stand structure attributes using Landsat ETM+ data: Application to mapping of aboveground biomass and stand volume
RJ Hall et al.
FOREST ECOLOGY AND MANAGEMENT (2006)
Estimation of Mediterranean forest attributes by the application of k-NN procedures to multitemporal Landsat ETM plus images
F Maselli et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon
D Lu
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)
Using coarse scale forest variables as ancillary information and weighting of variables in k-N-N estimation: a genetic algorithm approach
E Tomppo et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Estimating aboveground biomass using Landsat 7 ETM+ data across a managed landscape in northern Wisconsin, USA
DL Zheng et al.
REMOTE SENSING OF ENVIRONMENT (2004)
Share Paper
