Estimating defoliation of Scots pine stands using machine learning methods and vegetation indices of Sentinel-2-Reference-Cited by-同舟云学术

Estimating defoliation of Scots pine stands using machine learning methods and vegetation indices of Sentinel-2

Published:2018-01-01 Issue:1 Volume:51 Page:194-204
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Hawryło Paweł¹^ORCID,Bednarz Bartłomiej²^ORCID,Wężyk Piotr¹^ORCID,Szostak Marta¹^ORCID

Affiliation:

1. Department of Forest Management, Geomatics and Forest Economics, Institute of Forest Resources Management, Faculty of Forestry, University of Agriculture in Krakow, Poland

2. Department of Forest Protection, Entomology and Forest Climatology, Institute of Forest Ecosystem Protection, Faculty of Forestry, University of Agriculture in Krakow, Poland

Funder

This Research was financed by the Ministry of Science and Higher Education of The Republic of Poland

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2017.1417745

Reference76 articles.

1. Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels

2. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression

3. Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leaves

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