Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on MultitemporalRapidEye Satellite Images

Spruce stands in the mountains of Central Europe are particularly valuable, not only because of their natural and scenic values but also because of their role in the protection of watersheds and soil. Over the past decades, these stands were frequently exposed to massive deforestation caused by vari...

Full description

Bibliographic Details
Main Authors: Radomir Bałazy, Tomasz Hycza, Agnieszka Kamińska, Katarzyna Osińska-Skotak
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/10/11/943
id doaj-11f3f8f806f04d389a2f508a881c7ea9
record_format Article
spelling doaj-11f3f8f806f04d389a2f508a881c7ea92020-11-25T02:36:18ZengMDPI AGForests1999-49072019-10-01101194310.3390/f10110943f10110943Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on MultitemporalRapidEye Satellite ImagesRadomir Bałazy0Tomasz Hycza1Agnieszka Kamińska2Katarzyna Osińska-Skotak3Forest Research Institute, SękocinStary, ul. Braci Leśnej 3, 05-090 Raszyn, PolandForest Research Institute, SękocinStary, ul. Braci Leśnej 3, 05-090 Raszyn, PolandForest Research Institute, SękocinStary, ul. Braci Leśnej 3, 05-090 Raszyn, PolandWarsaw University of Technology, PlacPolitechniki 1, 00-661 Warsaw, PolandSpruce stands in the mountains of Central Europe are particularly valuable, not only because of their natural and scenic values but also because of their role in the protection of watersheds and soil. Over the past decades, these stands were frequently exposed to massive deforestation caused by various biotic, abiotic and anthropogenic factors. The current health condition of spruce stands in the Eastern Sudetes shows that the next phase of deterioration of these stands has begun. Bearing in mind past experiences and the current situation in these mountain areas, it is particularly important to understand the processes and factors that may short-term (2012−2016) spruce health analyses based on the normalized difference red-edge index and RapidEye satellite imagery, which is being delivered annually. Aided by remote sensing data and Boosted Regression Trees, it was possible to determine the topographic and tree stand features having the greatest impact on the vitality of spruce in all analyzed areas during 2012−2016. As the results show, the highest impact on the value of the normalized difference red-edge index indicator comes from a height above sea level, age of stands, terrain slopes, and exposure. In various areas, these factors may affect the vitality of spruce to varying degrees but not always in the same way. Our models accurately explained 74−81% of the randomly selected input data (predicted 72−80% of the excluded data) for site A, 50−58% for site B (48−57% for tested data) and 54−70% for site C (52−69% for excluded data).https://www.mdpi.com/1999-4907/10/11/943sprucevitalityvegetation indextopographyremote sensing
collection DOAJ
language English
format Article
sources DOAJ
author Radomir Bałazy
Tomasz Hycza
Agnieszka Kamińska
Katarzyna Osińska-Skotak
spellingShingle Radomir Bałazy
Tomasz Hycza
Agnieszka Kamińska
Katarzyna Osińska-Skotak
Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on MultitemporalRapidEye Satellite Images
Forests
spruce
vitality
vegetation index
topography
remote sensing
author_facet Radomir Bałazy
Tomasz Hycza
Agnieszka Kamińska
Katarzyna Osińska-Skotak
author_sort Radomir Bałazy
title Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on MultitemporalRapidEye Satellite Images
title_short Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on MultitemporalRapidEye Satellite Images
title_full Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on MultitemporalRapidEye Satellite Images
title_fullStr Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on MultitemporalRapidEye Satellite Images
title_full_unstemmed Factors Affecting the Health Condition of Spruce Forests in Central European Mountains-Study Based on MultitemporalRapidEye Satellite Images
title_sort factors affecting the health condition of spruce forests in central european mountains-study based on multitemporalrapideye satellite images
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2019-10-01
description Spruce stands in the mountains of Central Europe are particularly valuable, not only because of their natural and scenic values but also because of their role in the protection of watersheds and soil. Over the past decades, these stands were frequently exposed to massive deforestation caused by various biotic, abiotic and anthropogenic factors. The current health condition of spruce stands in the Eastern Sudetes shows that the next phase of deterioration of these stands has begun. Bearing in mind past experiences and the current situation in these mountain areas, it is particularly important to understand the processes and factors that may short-term (2012−2016) spruce health analyses based on the normalized difference red-edge index and RapidEye satellite imagery, which is being delivered annually. Aided by remote sensing data and Boosted Regression Trees, it was possible to determine the topographic and tree stand features having the greatest impact on the vitality of spruce in all analyzed areas during 2012−2016. As the results show, the highest impact on the value of the normalized difference red-edge index indicator comes from a height above sea level, age of stands, terrain slopes, and exposure. In various areas, these factors may affect the vitality of spruce to varying degrees but not always in the same way. Our models accurately explained 74−81% of the randomly selected input data (predicted 72−80% of the excluded data) for site A, 50−58% for site B (48−57% for tested data) and 54−70% for site C (52−69% for excluded data).
topic spruce
vitality
vegetation index
topography
remote sensing
url https://www.mdpi.com/1999-4907/10/11/943
work_keys_str_mv AT radomirbałazy factorsaffectingthehealthconditionofspruceforestsincentraleuropeanmountainsstudybasedonmultitemporalrapideyesatelliteimages
AT tomaszhycza factorsaffectingthehealthconditionofspruceforestsincentraleuropeanmountainsstudybasedonmultitemporalrapideyesatelliteimages
AT agnieszkakaminska factorsaffectingthehealthconditionofspruceforestsincentraleuropeanmountainsstudybasedonmultitemporalrapideyesatelliteimages
AT katarzynaosinskaskotak factorsaffectingthehealthconditionofspruceforestsincentraleuropeanmountainsstudybasedonmultitemporalrapideyesatelliteimages
_version_ 1724800894968528896