Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China

Evaluating ICESat-2 for monitoring, modeling, and update of large area forest canopy height products

(2022) Christopher Mulverhill et al.   REMOTE SENSING OF ENVIRONMENT

Improved Object-Based Estimation of Forest Aboveground Biomass by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region

(2022) Lin Chen et al.   Remote Sensing

Modeling the SOFC by BP neural network algorithm

(2021) Shaohui Song et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Mapping the Forest Canopy Height in Northern China by Synergizing ICESat-2 with Sentinel-2 Using a Stacking Algorithm

(2021) Fugen Jiang et al.   Remote Sensing

Mapping Forest Height and Aboveground Biomass by Integrating ICESat‐2, Sentinel‐1 and Sentinel‐2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India

(2021) Subrata Nandy et al.   GEOPHYSICAL RESEARCH LETTERS

Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends

(2021) Nicholas C. Coops et al.   REMOTE SENSING OF ENVIRONMENT

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

Passive ground‐based optical techniques for monitoring the on‐orbit ICESat‐2 altimeter geolocation and footprint diameter

(2021) Lori Magruder et al.   Earth and Space Science

Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals

(2021) Aobo Liu et al.   REMOTE SENSING OF ENVIRONMENT

Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models

(2020) Yang Hu et al.   Remote Sensing

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

(2020) Haifa Tamiminia et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Estimating the Growing Stem Volume of the Planted Forest Using the General Linear Model and Time Series Quad-Polarimetric SAR Images

(2020) Jiangping Long et al.   SENSORS

High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data

(2020) Wang Li et al.   International Journal of Applied Earth Observation and Geoinformation

Comparison of Machine Learning Methods for Mapping the Stand Characteristics of Temperate Forests Using Multi-Spectral Sentinel-2 Data

(2020) Kourosh Ahmadi et al.   Remote Sensing

Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR

(2020) Chiwei Xiao et al.   International Journal of Applied Earth Observation and Geoinformation

Proximal Methods for Plant Stress Detection Using Optical Sensors and Machine Learning

(2020) Alanna V. Zubler et al.   Biosensors-Basel

A stacking-based ensemble learning method for earthquake casualty prediction

(2020) Shaoze Cui et al.   APPLIED SOFT COMPUTING

Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass mapping

(2020) Carlos Alberto Silva et al.   REMOTE SENSING OF ENVIRONMENT

Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning

(2019) Lana L. Narine et al.   Remote Sensing

Estimation of China’s forest stand biomass carbon sequestration based on the continuous biomass expansion factor model and seven forest inventories from 1977 to 2013

(2019) Miaomiao Zhao et al.   FOREST ECOLOGY AND MANAGEMENT

Estimation of aboveground vegetation biomass based on Landsat-8 OLI satellite images in the Guanzhong Basin, China

(2018) Boyan Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Exploring Bamboo Forest Aboveground Biomass Estimation Using Sentinel-2 Data

(2018) Yuyun Chen et al.   Remote Sensing

The ATL08 land and vegetation product for the ICESat-2 Mission

(2018) Amy Neuenschwander et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of coniferous forest aboveground biomass with aggregated airborne small-footprint LiDAR full-waveforms

(2017) Haiming Qin et al.   OPTICS EXPRESS

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Assessing Nebraska playa wetland inundation status during 1985–2015 using Landsat data and Google Earth Engine

(2016) Zhenghong Tang et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity

(2016) Alfonso Fernández-Manso et al.   International Journal of Applied Earth Observation and Geoinformation

Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters

(2016) Shezhou Luo et al.   OPTICS EXPRESS

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

(2016) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

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

(2016) Panpan Zhao et al.   Remote Sensing

A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning

(2015) Xi-Zhao Wang et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Multitemporal settlement and population mapping from Landsat using Google Earth Engine

(2015) Nirav N. Patel et al.   International Journal of Applied Earth Observation and Geoinformation

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

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

The uncertainty of biomass estimates from modeled ICESat-2 returns across a boreal forest gradient

(2015) P.M. Montesano et al.   REMOTE SENSING OF ENVIRONMENT

Scaling issues in forest ecosystem management and how to address them with models

(2013) Rupert Seidl et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Relating P-Band Synthetic Aperture Radar Tomography to Tropical Forest Biomass

(2013) Dinh Ho Tong Minh et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

A Review of Remote Sensing of Forest Biomass and Biofuel: Options for Small-Area Applications

(2011) Colin J. Gleason et al.   GIScience & Remote Sensing

Mapping forest canopy height globally with spaceborne lidar

(2011) Marc Simard et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Aboveground biomass retrieval in tropical forests — The potential of combined X- and L-band SAR data use

(2011) S. Englhart et al.   REMOTE SENSING OF ENVIRONMENT

The ICESat-2 Laser Altimetry Mission

(2010) Waleed Abdalati et al.   PROCEEDINGS OF THE IEEE

Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests

(2008) G. B. Bonan   SCIENCE