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Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

Janne Mäyrä, Sarita Keski-Saari, Sonja Kivinen, Topi Tanhuanpää, Pekka Hurskainen, Peter Kullberg, Laura Poikolainen, Arto Viinikka, Sakari Tuominen, Timo Kumpula, Petteri Vihervaara
2021 Remote Sensing of Environment  
Finally, we used the best performing 3D-CNN to 2 produce a wall-to-wall tree species map for the full study area that can later be used as a reference prediction in, for instance, tree species mapping  ...  We collected hyperspectral and LiDAR data along with extensive ground reference data measurements of tree species from the 83 km 2 study area located in the southern boreal zone in Finland.  ...  , the Academy of Finland; e-shape has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement 820852 and Mapping and Assessment for Integrated ecosystem  ... 
doi:10.1016/j.rse.2021.112322 fatcat:x4mgwkoytva53leu2w5otm3gte

Sun–induced fluorescence heterogeneity as a measure of functional diversity

Giulia Tagliabue, Cinzia Panigada, Marco Celesti, Sergio Cogliati, Roberto Colombo, Mirco Migliavacca, Uwe Rascher, Duccio Rocchini, Dirk Schüttemeyer, Micol Rossini
2020 Remote Sensing of Environment  
This was achieved exploiting high-resolution images collected over a mixed forest ecosystem with the HyPlant sensor, deployed as an airborne demonstrator of the forthcoming ESA-FLEX satellite.  ...  Results showed a strong underestimation of the functional diversity using the Rao's Q index based on NDVI and the CV of reflectance.  ...  Acknowledgements We gratefully acknowledge the European Space Agency (ESA) for funding the SEN2ExpFL (  ... 
doi:10.1016/j.rse.2020.111934 fatcat:rufwqzhkyrcbnpbff3umhlnzci

Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data

Julia Maschler, Clement Atzberger, Markus Immitzer
2018 Remote Sensing  
The study also assesses the automation potential for the delineation of tree crowns using a mean shift segmentation algorithm in order to permit model application over large areas.  ...  Our study evaluates the suitability of a visible to near-infrared (VNIR) hyperspectral dataset with a spatial resolution of 0.4 m for the classification of 13 tree species (8 broadleaf, 5 coniferous) on  ...  Acknowledgments: We thank the Austrian state forest enterprise (ÖBf AG), namely Alexandra Wieshaider, for providing the forest stand information.  ... 
doi:10.3390/rs10081218 fatcat:7crwtaljnvbm7fhjtrmruo4s6m

Species dominance and above ground biomass in the Białowieża Forest, Poland, described by airborne hyperspectral and lidar data

Gaia Vaglio Laurin, Nicola Puletti, Mirko Grotti, Krzysztof Stereńczak, Aneta Modzelewska, Maciej Lisiewicz, Rafał Sadkowski, Łukasz Kuberski, Gherardo Chirici, Dario Papale
2020 International Journal of Applied Earth Observation and Geoinformation  
A B S T R A C T The objective of this research is to test and evaluate hyperspectral and lidar data to derive information on tree species dominance and above ground biomass in the Białowieża Forest in  ...  Results indicate that vegetation indices from hyperspectral data can support species dominance detection: using a Classification and Regression Trees algorithm the three main plot types (dominated by Deciduous  ...  Therefore, even in presence of a satisfactory overall accuracy, it is advisable to exclude the use of a Mixed class in the classification efforts of this study area.  ... 
doi:10.1016/j.jag.2020.102178 fatcat:o764xa4adnhi5jwralsijwtgh4

Satellite Remote Sensing Technologies for Biodiversity Monitoring and Its Conservation

Khare S., Ghosh S.K.
2016 International Journal of Advanced Earth Science and Engineering  
In order to implement significant conservation schemes, exhaustive information on the distribution of species on a temporal basis are required.  ...  and fine-scale disturbances of forests.  ...  tropical forests [17] 4) Investigation of tree diversity mapping in the Hyrcanian forests of Iran [44] 5) Assessed the plant diversity in a dry tropical forest of central India [Forest management and  ... 
doi:10.23953/cloud.ijaese.213 fatcat:tmqepre5sffzxm7b2xl7ypqily

Tree Species Classification of the UNESCO Man and the Biosphere Karkonoski National Park (Poland) Using Artificial Neural Networks and APEX Hyperspectral Images

Edwin Raczko, Bogdan Zagajewski
2018 Remote Sensing  
The results show great potential for the use of hyperspectral data as a tool for identifying tree species locations in diverse mountainous forest.  ...  High-resolution (3.35 m) Airborne Prism Experiment (APEX) hyperspectral images (288 spectral bands in the range of 413 to 2440 nm) were used as a basis for tree species classification.  ...  Feature extraction methods were tested in the frame of the WP3 Data and sensor integration of the project H2020-MSCA-RISE-2016: innoVation in geOspatiaL and 3D daTA (VOLTA).  ... 
doi:10.3390/rs10071111 fatcat:r5247eqlazes5b4nyptm5z7pjy

Hyperspectral Data Simulation (Sentinel-2 to AVIRIS-NG) for Improved Wildfire Fuel Mapping, Boreal Alaska

Anushree Badola, Santosh K. Panda, Dar A. Roberts, Christine F. Waigl, Uma S. Bhatt, Christopher W. Smith, Randi R. Jandt
2021 Remote Sensing  
Upon performing species level classification, we achieved a classification accuracy of 89% for the simulated hyperspectral data, which is better than the accuracy of Sentinel-2 data (77.8%).  ...  We observed a high correlation between the spectra of tree classes collected from AVIRIS-NG and simulated hyperspectral data.  ...  Badola, A.; Padalia, H.; Belgiu, M.; Prabhakar, M.; Verma, A. Mapping Tree Species Richness of Tropical Forest Using Airborne Hyperspectral Remote Sensing.  ... 
doi:10.3390/rs13091693 doaj:08e6fb8af1344958af42c0dec1d36e2e fatcat:4pwqmax22zgttfxkylqtg4uzgu

Multitemporal hyperspectral tree species classification in the Białowieża Forest World Heritage site

Aneta Modzelewska, Agnieszka Kamińska, Fabian Ewald Fassnacht, Krzysztof Stereńczak
2021 Forestry (London)  
Our study examined the performance of a multitemporal hyperspectral dataset to classify tree species in the Polish part of the Białowieża Forest.  ...  We conclude that implementing multitemporal hyperspectral data can improve the classification result as compared with a single acquisition.  ...  Funding This work was financially supported by the Project LIFE+ For-BioSensing PL 'Comprehensive monitoring of stand dynamics in Białowieża Forest supported with remote sensing techniques', cofunded by  ... 
doi:10.1093/forestry/cpaa048 fatcat:4udwn3gn2rcrbguhgxlx3emes4

Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve

Bogdan Zagajewski, Marcin Kluczek, Edwin Raczko, Ajda Njegovec, Anca Dabija, Marlena Kycko
2021 Remote Sensing  
In this study, we used Sentinel-2 and Landsat 8 open data to assess the forest stands classification of the UNESCO Krkonoše/Karkonosze Transboundary Biosphere Reserve, which is undergoing dynamic changes  ...  The obtained maps, which were based on multispectral satellite images, were also compared with classifications made for the same area on the basis of hyperspectral APEX imagery (288 spectral bands with  ...  As reference data, maps achieved on the basis of the APEX airborne hyperspectral images, Airborne Lidar Scanning (ALS) and numerous field mapping were used.  ... 
doi:10.3390/rs13132581 doaj:e1836d4bb940454291eb1600f64afbd7 fatcat:rkovukcgargdvptq5y4gwnmhha

Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs

Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Marco Heurich
2020 International Journal of Applied Earth Observation and Geoinformation  
Our results suggest that the synergic use of multi-temporal digital aerial photographs and airborne LiDAR data has the potential to accurately classify individual tree species in Central European mixed  ...  In this study, we examined whether multi-temporal digital CIR orthophotos could be used to further increase the accuracy of airborne LiDAR-based individual tree species mapping for a temperate mixed forest  ...  Acknowledgements This work was supported by the China Scholarship Council under Grant 201506650001 and co-funded by the ITC Research Fund of the  ... 
doi:10.1016/j.jag.2019.101970 fatcat:sm6atcqe4zdu3n6tvr6rl7he3m

Developing a spatially explicit modelling and evaluation framework for integrated carbon sequestration and biodiversity conservation: Application in southern Finland

Martin Forsius, Heini Kujala, Francesco Minunno, Maria Holmberg, Niko Leikola, Ninni Mikkonen, Iida Autio, Ville-Veikko Paunu, Topi Tanhuanpää, Pekka Hurskainen, Janne Mäyrä, Sonja Kivinen (+23 others)
2021 Science of the Total Environment  
Biodiversity gain in the area could be increased without a loss of carbon-related benefits.  ...  The scenarios used for the dynamic models were based on official Finnish policy goals for forest management and climate change mitigation.  ...  Appendix A. Supplementary data Supplementary data to this article can be found online at https://doi. org/10.1016/j.scitotenv.2021.145847.  ... 
doi:10.1016/j.scitotenv.2021.145847 fatcat:ivrds4mx3jf3jgqp5fqpihqsxy

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges

Tien Pham, Naoto Yokoya, Dieu Bui, Kunihiko Yoshino, Daniel Friess
2019 Remote Sensing  
We see several key future directions for the potential use of remote sensing techniques combined with machine learning techniques for mapping mangrove areas and species, and evaluating their biomass and  ...  A wide range of studies is based on optical imagery (aerial photography, multispectral, and hyperspectral) and synthetic aperture radar (SAR) data.  ...  The APC was funded by the RIKEN Center for Advanced Intelligent Project (AIP), Japan. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11030230 fatcat:xgxftojh5vdfhgkpqcwehgbkwa

Remote sensing for biodiversity science and conservation

Woody Turner, Sacha Spector, Ned Gardiner, Matthew Fladeland, Eleanor Sterling, Marc Steininger
2003 Trends in Ecology & Evolution  
Acknowledgements The workshop 'Biological Fingerprinting: Using Remote Sensing for the Improved Modeling and Monitoring of Biodiversity' was both an inspiration and a source for much of the information  ...  The American Museum of Natural History hosted the workshop from 3 -5 December 2001, co-sponsored with the Center for Applied Biodiversity Science at Conservation International, NASA and Columbia University  ...  Perhaps the best examples of fine-scale, species-specific land-cover classification through spectral analysis come from the use of airborne and spaceborne hyperspectral sensors.  ... 
doi:10.1016/s0169-5347(03)00070-3 fatcat:25mtozlsrffnnlztxc7tvkq6xe

Mapping Succession in Non-Forest Habitats by Means of Remote Sensing: Is the Data Acquisition Time Critical for Species Discrimination?

Katarzyna Osińska-Skotak, Aleksandra Radecka, Hubert Piórkowski, Dorota Michalska-Hejduk, Dominik Kopeć, Barbara Tokarska-Guzik, Wojciech Ostrowski, Adam Kania, Jan Niedzielko
2019 Remote Sensing  
There is a perceived need to create a methodology for the monitoring of vegetation succession by airborne remote sensing, both from quantitative (area, volume) and qualitative (plant species) perspectives  ...  Classifications are done using the random forest algorithm, and the set of features to be classified is determined by a recursive feature elimination procedure.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/rs11222629 fatcat:z65fpuhn2fcw3pyloambzszusm

A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary

Dimitris Stratoulias, Heiko Balzter, András Zlinszky, Viktor R. Tóth
2018 International Journal of Remote Sensing  
In this study, we investigate the capabilities of a concurrently acquired very high spatial resolution airborne hyperspectral and lidar data set at the peak of aquatic vegetation growth in a nature reserve  ...  Earth observation has rapidly evolved into a state-of-the-art technology providing new capabilities and a wide variety of sensors; nevertheless, it is still a challenge for practitioners external to a  ...  classes of species in a classification of old growth temperate conifer forest canopies.  ... 
doi:10.1080/01431161.2018.1466081 fatcat:zfjgt3jpdrea7j7ussqmzel4yq
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