The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images

The main aim of this research was to determine the impact of drought (in 2015) on forests stand condition using remote sensing and statistical techniques. The study was based on the analysis of vegetation indices calculated from a series of Landsat-8 OLI satellite images covering the 2014 and 2015 g...

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Main Authors: Nasiłowska Sylwia A., Kotlarz Jan, Kacprzak Mariusz, Rynkiewicz Alicja, Rotchimmel Karol, Kubiak Katarzyna
Format: Article
Language:English
Published: Sciendo 2019-03-01
Series:Forest Research Papers
Subjects:
pca
Online Access:https://doi.org/10.2478/frp-2019-0005
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spelling doaj-4f7fee61b0144aabad32f40da35f22fc2021-09-05T21:01:05ZengSciendoForest Research Papers2082-89262019-03-01801556810.2478/frp-2019-0005frp-2019-0005The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI imagesNasiłowska Sylwia A.0Kotlarz Jan1Kacprzak Mariusz2Rynkiewicz Alicja3Rotchimmel Karol4Kubiak Katarzyna5Remote Sensing Division, Institute of Aviation, al. Krakowska 110/114, 02–256Warsaw, PolandRemote Sensing Division, Institute of Aviation, al. Krakowska 110/114, 02–256Warsaw, PolandRemote Sensing Division, Institute of Aviation, al. Krakowska 110/114, 02–256Warsaw, PolandRemote Sensing Division, Institute of Aviation, al. Krakowska 110/114, 02–256Warsaw, PolandRemote Sensing Division, Institute of Aviation, al. Krakowska 110/114, 02–256Warsaw, PolandRemote Sensing Division, Institute of Aviation, al. Krakowska 110/114, 02–256Warsaw, PolandThe main aim of this research was to determine the impact of drought (in 2015) on forests stand condition using remote sensing and statistical techniques. The study was based on the analysis of vegetation indices calculated from a series of Landsat-8 OLI satellite images covering the 2014 and 2015 growing seasons. Various tree biophysical and physical parameters as well as forest habitat characteristics were tested in order to find the most significant factors affecting drought resistance. Three approaches were used: (i) index differences, (ii) PCA analysis, and (iii) ANOVA statistical analysis. All three approaches used in this study indicate that forest biodiversity is the most important factor determining habitat response to stress conditions. Coniferous and mixed tree habitats were less sensitive than deciduous ones. Statistical analysis revealed the relationship between stress and soil types, as those more permeable were less dependent on rainwater. The highest stress was found for precipitation-dependent gley soils. Undergrowth density and height were also indicated as important factors inducing habitat response to a changing weather situation. All the results confirmed the usefulness of mid-infrared based indices for water shortage monitoring in forests. They confirmed that habitat biodiversity has a positive effect on its resistance to stressful conditions. Also forest type (conifer/deciduous) determines it’s sensitivity. Precipitation and groundwater shortages have different effects on the forest condition depending on soil type.https://doi.org/10.2478/frp-2019-0005droughtforestlandsat-8 olibiodiversitypcavegetation indices
collection DOAJ
language English
format Article
sources DOAJ
author Nasiłowska Sylwia A.
Kotlarz Jan
Kacprzak Mariusz
Rynkiewicz Alicja
Rotchimmel Karol
Kubiak Katarzyna
spellingShingle Nasiłowska Sylwia A.
Kotlarz Jan
Kacprzak Mariusz
Rynkiewicz Alicja
Rotchimmel Karol
Kubiak Katarzyna
The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images
Forest Research Papers
drought
forest
landsat-8 oli
biodiversity
pca
vegetation indices
author_facet Nasiłowska Sylwia A.
Kotlarz Jan
Kacprzak Mariusz
Rynkiewicz Alicja
Rotchimmel Karol
Kubiak Katarzyna
author_sort Nasiłowska Sylwia A.
title The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images
title_short The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images
title_full The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images
title_fullStr The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images
title_full_unstemmed The impact of drought in 2015 on the health forest condition determined using Landsat-8 OLI images
title_sort impact of drought in 2015 on the health forest condition determined using landsat-8 oli images
publisher Sciendo
series Forest Research Papers
issn 2082-8926
publishDate 2019-03-01
description The main aim of this research was to determine the impact of drought (in 2015) on forests stand condition using remote sensing and statistical techniques. The study was based on the analysis of vegetation indices calculated from a series of Landsat-8 OLI satellite images covering the 2014 and 2015 growing seasons. Various tree biophysical and physical parameters as well as forest habitat characteristics were tested in order to find the most significant factors affecting drought resistance. Three approaches were used: (i) index differences, (ii) PCA analysis, and (iii) ANOVA statistical analysis. All three approaches used in this study indicate that forest biodiversity is the most important factor determining habitat response to stress conditions. Coniferous and mixed tree habitats were less sensitive than deciduous ones. Statistical analysis revealed the relationship between stress and soil types, as those more permeable were less dependent on rainwater. The highest stress was found for precipitation-dependent gley soils. Undergrowth density and height were also indicated as important factors inducing habitat response to a changing weather situation. All the results confirmed the usefulness of mid-infrared based indices for water shortage monitoring in forests. They confirmed that habitat biodiversity has a positive effect on its resistance to stressful conditions. Also forest type (conifer/deciduous) determines it’s sensitivity. Precipitation and groundwater shortages have different effects on the forest condition depending on soil type.
topic drought
forest
landsat-8 oli
biodiversity
pca
vegetation indices
url https://doi.org/10.2478/frp-2019-0005
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