Skip to main content
SLU publication database (SLUpub)
Conference paper - Peer-reviewed, 2020

Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection

Huo, Langning; Lindberg, Eva; Persson, Henrik

Abstract

Due to the ongoing global warming, European spruce bark beetles has become a serious threat to the spruce forests in Europe and caused serious environmental and economic issues. This study proposes a new vegetation index, Normalized Projected Red & SWIR (NPRS), for detection of spruce bark beetle attacks. 29 healthy and 24 bark beetle attacked plots in southern Sweden were used for evaluating the classification accuracy using NPRS at early-, intermediate- and late-stage attacks. The obtained kappa coefficients were 0.73, 0.80 and 0.88, respectively. It was concluded that the NPRS is a feasible method for continuous bark beetle mapping over large areas.

Keywords

forestry; indexes; remote sensing; vegetation mapping; vegetation; Europe; optical sensors; global warming; NPRS; vegetation index; forest health estimation; spruce bark beetle attack detection; ongoing global warming; European spruce bark beetles; spruce forests; serious environmental issues; late-stage attacks; continuous bark beetle mapping; Normalized Projected Red and SWIR; healthy bark beetle; southern Sweden; bark beetle attacks; early detection

Published in

IEEE International Geoscience and Remote Sensing Symposium proceedings
2020, pages: 4618-4621
Title: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium : proceedings : September 26 - October 2, 2020 Virtual Symposium
eISBN: 978-1-7281-6374-1
Publisher: Institute of Electrical and Electronics Engineers

Conference

IGARSS 2020 Symposium, Remote Sensing for a Dynamic Earth. Virtual symposium 26 Sep - 2 Oct 2020.