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GIScience & Remote Sensing Volume 55, 2018 - Issue 6
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Articles

Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles

Hooman LatifiFaculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, IranCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0003-1054-889XView further author information
ORCID Icon,
Thorsten DahmsDepartment of Remote Sensing in cooperation with German Aerospace Center, University of Würzburg, Würzburg, GermanyORCID Iconhttp://orcid.org/0000-0002-7073-5075View further author information
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Burkhard BeudertDepartment of Conservation and Research, Bavarian Forest National Park, Grafenau, GermanyView further author information
,
Marco HeurichDepartment of Conservation and Research, Bavarian Forest National Park, Grafenau, Germany;Chair of Wildlife Ecology and Management Faculty of Environment and Natural Resources, University of Freiburg, Freiburg, GermanyORCID Iconhttp://orcid.org/0000-0003-0051-2930View further author information
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Carina KübertDepartment of Remote Sensing in cooperation with German Aerospace Center, University of Würzburg, Würzburg, GermanyView further author information
&
Stefan DechDepartment of Remote Sensing in cooperation with German Aerospace Center, University of Würzburg, Würzburg, Germany;German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Wessling, GermanyView further author information
Pages 839-859 | Received 18 Sep 2017, Accepted 24 Mar 2018, Published online: 04 Apr 2018

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Simon König, Frank Thonfeld, Michael Förster, Olena Dubovyk & Marco Heurich. (2023) Assessing Combinations of Landsat, Sentinel-2 and Sentinel-1 Time series for Detecting Bark Beetle Infestations. GIScience & Remote Sensing 60:1.
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Xin Du, Qiangzi Li, Jiali Shang, Jiangui Liu, Budong Qian, Qi Jing, Taifeng Dong, Dongdong Fan, Hongyan Wang, Longcai Zhao, Sam Lieff & Travis Davies. (2019) Detecting advanced stages of winter wheat yellow rust and aphid infection using RapidEye data in North China Plain. GIScience & Remote Sensing 56:7, pages 1093-1113.
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Articles from other publishers (20)

S. Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray & Nadir Erbilgin. (2023) Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review. ACM Computing Surveys 56:4, pages 1-40.
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Kyotaek Hwang, Adrian A. Harpold, Christina L. Tague, Lauren Lowman, Gabrielle F. S. Boisramé, Katherine B. Lininger, Pamela L. Sullivan, Aidan Manning, Louis Graup, Marcy Litvak, Gabriel Lewis, Kate Miller, Paul D. Brooks & Holly R. Barnard. (2023) Seeing the Disturbed Forest for the Trees: Remote Sensing Is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance. Earth's Future 11:8.
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Marziye Ghasemi, Hooman Latifi & Mehdi Pourhashemi. (2023) Integrating UAV and Freely Available Space-Borne Data to Describe Tree Decline Across Semi-arid Mountainous Forests. Environmental Modeling & Assessment.
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Lisa Mandl & Stefan Lang. (2023) Uncovering Early Traces of Bark Beetle Induced Forest Stress via Semantically Enriched Sentinel-2 Data and Spectral Indices. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science 91:3, pages 211-231.
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Youqing Luo, Huaguo HuangAlain Roques. (2023) Early Monitoring of Forest Wood-Boring Pests with Remote Sensing. Annual Review of Entomology 68:1, pages 277-298.
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Markus Kautz, Felix J. Peter, Laura Harms, Stephan Kammen & Horst Delb. (2022) Patterns, drivers and detectability of infestation symptoms following attacks by the European spruce bark beetle. Journal of Pest Science 96:1, pages 403-414.
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Kathleen Coupland, David Hamilton & Verena C. Griess. (2022) Combining aerial photos and LiDAR data to detect canopy cover change in urban forests. PLOS ONE 17:9, pages e0273487.
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Hooman Latifi, Stefanie Holzwarth, Andrew Skidmore, Josef Brůna, Jaroslav Červenka, Roshanak Darvishzadeh, Martin Hais, Uta Heiden, Lucie Homolová, Peter Krzystek, Thomas Schneider, Martin Starý, Tiejun Wang, Jörg Müller & Marco Heurich. (2021) A laboratory for conceiving Essential Biodiversity Variables (EBVs)—The ‘Data pool initiative for the Bohemian Forest Ecosystem’. Methods in Ecology and Evolution 12:11, pages 2073-2083.
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Vojtěch Bárta, Petr Lukeš & Lucie Homolová. (2021) Early detection of bark beetle infestation in Norway spruce forests of Central Europe using Sentinel-2. International Journal of Applied Earth Observation and Geoinformation 100, pages 102335.
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Przemyslaw Polewski, Jacquelyn Shelton, Wei Yao & Marco Heurich. (2021) Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors. ISPRS Journal of Photogrammetry and Remote Sensing 178, pages 297-313.
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Carsten Montzka, Bagher Bayat, Andreas Tewes, David Mengen & Harry Vereecken. (2021) Sentinel-2 Analysis of Spruce Crown Transparency Levels and Their Environmental Drivers After Summer Drought in the Northern Eifel (Germany). Frontiers in Forests and Global Change 4.
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Abebe Mohammed Ali, Haidi Abdullah, Roshanak Darvishzadeh, Andrew K. Skidmore, Marco Heurich, Claudia Roeoesli, Marc Paganini, Uta Heiden & David Marshall. (2021) Canopy chlorophyll content retrieved from time series remote sensing data as a proxy for detecting bark beetle infestation. Remote Sensing Applications: Society and Environment 22, pages 100524.
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Stefanie Holzwarth, Frank Thonfeld, Sahra Abdullahi, Sarah Asam, Emmanuel Da Ponte Canova, Ursula Gessner, Juliane Huth, Tanja Kraus, Benjamin Leutner & Claudia Kuenzer. (2020) Earth Observation Based Monitoring of Forests in Germany: A Review. Remote Sensing 12:21, pages 3570.
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Lijun Mao, Mingshi Li & Wenjuan Shen. (2020) Remote Sensing Applications for Monitoring Terrestrial Protected Areas: Progress in the Last Decade. Sustainability 12:12, pages 5016.
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Young Jun Kim, Hyun-Cheol Kim, Daehyeon Han, Sanggyun Lee & Jungho Im. (2020) Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks. The Cryosphere 14:3, pages 1083-1104.
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Carsten Neumann, Robert Behling, Anne Schindhelm, Sibylle Itzerott, Gabriele Weiss, Matthias Wichmann & Jörg Müller. (2019) The colors of heath flowering – quantifying spatial patterns of phenology in Calluna life‐cycle phases using high‐resolution drone imagery. Remote Sensing in Ecology and Conservation 6:1, pages 35-51.
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Hongcan Guan, Yanjun Su, Tianyu Hu, Jin Chen & Qinghua Guo. (2019) An Object-Based Strategy for Improving the Accuracy of Spatiotemporal Satellite Imagery Fusion for Vegetation-Mapping Applications. Remote Sensing 11:24, pages 2927.
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Liu, Ke, Yin, Chen & Im. (2019) Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation. Remote Sensing 11:22, pages 2612.
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Jean-Daniel Sylvain, Guillaume Drolet & Nicolas Brown. (2019) Mapping dead forest cover using a deep convolutional neural network and digital aerial photography. ISPRS Journal of Photogrammetry and Remote Sensing 156, pages 14-26.
Crossref
Seohui Park, Minso Shin, Jungho Im, Chang-Keun Song, Myungje Choi, Jhoon Kim, Seungun Lee, Rokjin Park, Jiyoung Kim, Dong-Won Lee & Sang-Kyun Kim. (2019) Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea. Atmospheric Chemistry and Physics 19:2, pages 1097-1113.
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