Results 1 to 10 of about 223,998 (212)

Estimating Aboveground Carbon Stock at the Scale of Individual Trees in Subtropical Forests Using UAV LiDAR and Hyperspectral Data

Remote Sensing, 2021
Accurate estimation of aboveground carbon stock for individual trees is important for evaluating forest carbon sequestration potential and maintaining ecosystem carbon balance.
Haiming Qin, Weiqi Zhou
exaly   +3 more sources

Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review

Remote Sensing, 2021
Rapid technological advances in airborne hyperspectral and lidar systems paved the way for using machine learning algorithms to map urban environments.
Jonathan Rizzi, Maximilian Brell, Ingunn Burud   +2 more
exaly   +3 more sources

Tree-Species Classification in Subtropical Forests Using Airborne Hyperspectral and LiDAR Data

Remote Sensing, 2017
Accurate classification of tree-species is essential for sustainably managing forest resources and effectively monitoring species diversity. In this study, we used simultaneously acquired hyperspectral and LiDAR data from LiCHy (Hyperspectral, LiDAR and ...
Lin Cao, Xin Shen
exaly   +3 more sources

Value of hyperspectral data for wall to wall wetland vegetation mapping in heterogeneous landscapes [PDF]

Scientific Reports
Remote sensing is increasingly employed today for the creation of wall-to-wall vegetation maps of protected areas. The main objective of this study was to evaluate whether it is feasible to develop a remote sensing-based wall-to-wall vegetation map of ...
Anna Jarocińska, Dominik Kopeć, Jan Niedzielko, Anna Halladin-Dąbrowska, Marlena Kycko   +4 more
doaj   +2 more sources

Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
The 2013 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society aimed at investigating the synergistic use of hyperspectral and Light Detection And Ranging (LiDAR) data. The data sets
Sidharta Gautama, Qian Du, Aleksandra Pizurica   +2 more
exaly   +3 more sources

Object-Based Crop Species Classification Based on the Combination of Airborne Hyperspectral Images and LiDAR Data

Remote Sensing, 2015
Identification of crop species is an important issue in agricultural management. In recent years, many studies have explored this topic using multi-spectral and hyperspectral remote sensing data. In this study, we perform dedicated research to propose a
Yanchen Bo, Xiaolong Liu
exaly   +3 more sources

Parameter Simulation and Design of an Airborne Hyperspectral Imaging LiDAR System

Remote Sensing, 2021
With continuous technological development, the future development trend of LiDAR in the field of remote sensing and mapping is to obtain the elevation and spectral information of ground targets simultaneously.
Liyong Qian, Decheng Wu, Dong Liu, Shalei Song, Shuo Shi, Wei Gong, Le Wang   +6 more
doaj   +1 more source

Identification of tree species based on the fusion of UAV hyperspectral image and LiDAR data in a coniferous and broad-leaved mixed forest in Northeast China

Frontiers in Plant Science, 2022
Rapid and accurate identification of tree species via remote sensing technology has become one of the important means for forest inventory. This paper is to develop an accurate tree species identification framework that integrates unmanned airborne ...
Hao Zhong, Wenshu Lin, Haoran Liu, Nan Ma, Kangkang Liu, Rongzhen Cao, Tiantian Wang, Zhengzhao Ren   +7 more
doaj   +1 more source

Estimation of the fraction of absorbed photosynthetically active radiation (fPAR) in maize canopies using LiDAR data and hyperspectral imagery. [PDF]

PLoS ONE, 2018
Accurate estimation of the fraction of absorbed photosynthetically active radiation (fPAR) for maize canopies are important for maize growth monitoring and yield estimation.
Haiming Qin, Cheng Wang, Kaiguang Zhao, Xiaohuan Xi   +3 more
doaj   +1 more source

CLASSIFIER FUSION OF HYPERSPECTRAL AND LIDAR REMOTE SENSING DATA FOR IMPROVEMENT OF LAND COVER CLASSIFCATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
The interest in the joint use of remote sensing data from multiple sensors has been remarkably increased for classification applications. This is because a combined use is supposed to improve the results of classification tasks compared to single-data ...
B. Bigdeli, F. Samadzadegan, P. Reinartz
doaj   +1 more source