Application of Convolutional Neural Network on Lei Bamboo Above-Ground-Biomass (AGB) Estimation Using Worldview-2

Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data

(2019) Linjing Zhang et al.   Remote Sensing

A Novel Neural Network for Remote Sensing Image Matching

(2019) Hao Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Spatiotemporal evolution and impacts of climate change on bamboo distribution in China

(2019) Xuejian Li et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Estimating and Analyzing the Spatiotemporal Pattern of Aboveground Carbon in Bamboo Forest by Combining Remote Sensing Data and Improved BIOME-BGC Model

(2018) Huaqiang Du et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DenseNet-Based Depth-Width Double Reinforced Deep Learning Neural Network for High-Resolution Remote Sensing Image Per-Pixel Classification

(2018) Yiting Tao et al.   Remote Sensing

Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery

(2018) Lin Chen et al.   Forests

Dense Connectivity Based Two-Stream Deep Feature Fusion Framework for Aerial Scene Classification

(2018) Yunlong Yu et al.   Remote Sensing

Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales

(2017) Mryka Hall-Beyer   INTERNATIONAL JOURNAL OF REMOTE SENSING

Seasonal Timing for Estimating Carbon Mitigation in Revegetation of Abandoned Agricultural Land with High Spatial Resolution Remote Sensing

(2017) Ning Liu et al.   Remote Sensing

Estimating Biomass of Native Grass Grown under Complex Management Treatments Using WorldView-3 Spectral Derivatives

(2017) Mbulisi Sibanda et al.   Remote Sensing

A new approach for land cover classification and change analysis: Integrating backdating and an object-based method

(2016) Wenjuan Yu et al.   REMOTE SENSING OF ENVIRONMENT

High-resolution mapping of aboveground shrub biomass in Arctic tundra using airborne lidar and imagery

(2016) Heather E. Greaves et al.   REMOTE SENSING OF ENVIRONMENT

Mapping Aboveground Biomass using Texture Indices from Aerial Photos in a Temperate Forest of Northeastern China

(2016) Shili Meng et al.   Remote Sensing

Estimation of biomass and carbon stock in Para rubber plantations using object-based classification from Thaichote satellite data in Eastern Thailand

(2015) Kitsanai Charoenjit et al.   Journal of Applied Remote Sensing

Retrieval of Mangrove Aboveground Biomass at the Individual Species Level with WorldView-2 Images

(2015) Yuanhui Zhu et al.   Remote Sensing

Improved allometric models to estimate the aboveground biomass of tropical trees

(2014) Jérôme Chave et al.   GLOBAL CHANGE BIOLOGY

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

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

Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests

(2014) Mihai A. Tanase 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

Impacts of Plot Location Errors on Accuracy of Mapping and Scaling Up Aboveground Forest Carbon Using Sample Plot and Landsat TM Data

(2013) Maozhen Zhang et al.   IEEE Geoscience and Remote Sensing Letters

Rice biomass retrieval from multitemporal ground-based scatterometer data and RADARSAT-2 images using neural networks

(2013) Mingquan Jia et al.   Journal of Applied Remote Sensing

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

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

Forest disturbances, forest recovery, and changes in forest types across the Carpathian ecoregion from 1985 to 2010 based on Landsat image composites

(2013) Patrick Griffiths et al.   REMOTE SENSING OF ENVIRONMENT

Spectroscopic Determination of Aboveground Biomass in Grasslands Using Spectral Transformations, Support Vector Machine and Partial Least Squares Regression

(2013) Miguel Marabel et al.   SENSORS

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

Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data

(2012) Elfatih M. Abdel-Rahman et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression

(2012) Christoffer Axelsson et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Forest attribute imputation using machine-learning methods and ASTER data: comparison of k-NN, SVR and random forest regression algorithms

(2012) Shaban Shataee et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions

(2012) M.E.J. Cutler et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

(2012) Sandra Eckert   Remote Sensing

Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy

(2011) Simone Vincenzi et al.   ECOLOGICAL MODELLING

Aboveground biomass estimation in intervened and non-intervened Nothofagus pumilio forests using remotely sensed data

(2011) Marcela Poulain et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimation of tropical forest biomass using Landsat TM imagery and permanent plot data in Xishuangbanna, China

(2011) Cunjian Yang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda

(2011) Valerio Avitabile et al.   REMOTE SENSING OF ENVIRONMENT

Improved Biomass Estimation Using the Texture Parameters of Two High-Resolution Optical Sensors

(2010) Janet E. Nichol et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping the height and above‐ground biomass of a mixed forest using lidar and stereo Ikonos images

(2008) B. St‐Onge et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING