Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery-Reference-Cited by-同舟云学术

Classification of Herbaceous Vegetation Using Airborne Hyperspectral Imagery

Published:2015-02-12 Issue:2 Volume:7 Page:2046-2066
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Burai Péter,Deák Balázs,Valkó Orsolya,Tomor Tamás

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/7/2/2046/pdf

Reference46 articles.

1. Biodiversity and ecosystem services: a multilayered relationship

2. Habitat monitoring in Europe: a description of current practices

3. Mapping aquatic vegetation of the Rakamaz-Tiszanagyfalui Nagy-Morotva using hyperspectral imagery;Burai;Acta Geogr. Debr. Landsc. Environ. Ser.,2010

4. A New Tree Cover Percentage Map in Eurasia at 500 m Resolution Using MODIS Data

5. Empirical Modelling of Vegetation Abundance from Airborne Hyperspectral Data for Upland Peatland Restoration Monitoring

Cited by 97 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. Aboveground biomass inversion of forestland in a Jinsha River dry-hot valley by integrating high and medium spatial resolution optical images: A case study on Yuanmou County of Southwest China;Ecological Informatics;2024-11

2. Two-tier classification framework for mapping grassland types using multisource earth observation data;GIScience & Remote Sensing;2024-07-27

3. Aquatic vegetation mapping with UAS-cameras considering phenotypes;Ecological Informatics;2024-07

4. Google Earth Engine and Machine Learning for Flash Flood Exposure Mapping—Case Study: Tetouan, Morocco;Geosciences;2024-06-04

5. Improvement of evapotranspiration simulation study in the Hailar River basin under the influence of vegetation dynamics;Journal of Contaminant Hydrology;2024-03