A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary-Reference-Cited by-同舟云学术

A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary

Published:2018-05-11 Issue:17 Volume:39 Page:5689-5715
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Stratoulias Dimitris¹²³⁴^ORCID,Balzter Heiko²⁵,Zlinszky András¹,Tóth Viktor R.¹

Affiliation:

1. Balaton Limnological Institute, Centre for Ecological Research, Hungarian Academy of Sciences , Tihany, Hungary

2. Centre for Landscape and Climate Research, Department of Geography, University of Leicester, Leicester Institute for Space and Earth Observation , Leicester, UK

3. GeoAnalysis , Budapest, Hungary

4. Singapore-MIT Alliance for Research and Technology (SMART) , Singapore, Singapore

5. National Centre for Earth Observation, University of Leicester , Leicester, UK

Funder

Országos Tudományos Kutatási Alapprogramok

Seventh Framework Programme

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1466081

Reference97 articles.

1. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review

2. Laser scanning of fine scale pattern along a hydrological gradient in a peatland ecosystem

3. Hyperspectral remote sensing of marsh species and plant vigour gradient in the New Jersey Meadowlands

4. Hyperspectral data classification using geostatistics and support vector machines

5. Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using semi-automated classification algorithms in the context of an ecosystem service assessment applied to a temperate atlantic estuary;Remote Sensing Applications: Society and Environment;2024-11

2. Using resampled nSight-2 hyperspectral data and various machine learning classifiers for discriminating wetland plant species in a Ramsar Wetland site, South Africa;Applied Geomatics;2024-03-14

3. Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta;Remote Sensing of Environment;2023-08

4. Negligible native and significant alien colonization of artificial shoreline by macroinvertebrates in a large shallow lake (Lake Balaton, Hungary);Hydrobiologia;2023-03-23

5. Impact of Radiometric Variability on Ultra-High Resolution Hyperspectral Imagery Over Aquatic Vegetation: Preliminary Results;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023