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UAV-based Remote Sensing Methods for Monitoring Vegetation You are here: workshops >> UAV-based Remote Sensing Methods for Monitoring Vegetation >> poster

List of Accepted Posters: 46

A precise direct georeferencing system for UAVs

C. Eling, L. Klingbeil, H. Kuhlmann
Institute of Geodesy and Geoinformation, University of Bonn, GERMANY

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Accurate drought stress detection in commercial citrus orchards through fusion of RPAS and airborne hyperspectral imagery

Stephanie Delalieux (1), P.J. Zarco-Tejada (2,3), M.A. A. Jiménez-Bello (4), D.S. Intrigliolo (4)
(1) Flemish Institute for Technological Research, BELGIUM. (2) Institutode Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, SPAIN, (3) MARS-GeoCAP, Institute for Environment and Sustainability (IES), Joint Research Centre (JRC), European Commission, Ispra, (VA), ITALY, (4) Instituto Valenciano de Investigaciones Agrarias (IVIA) , Centro Desarrollo Agricultura Sostenible, Moncada, Valencia, SPAIN

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An Adaptive Texture Selection Framework for Ultra-high Resolution UAV Imagery

J. Kelcey, A. Lucieer
School of Geography and Environmental Studies, University of Tasmania, AUSTRALIA

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An experiment with an UAV enabled hyperspectral matrix camera and a portable full range field spectroradiometer

A. Jung (1), M. Vohland (1), R. Graser (2), R. Michels (2)
(1) University of Leipzig, GERMANY, (2) Cubert GmbH, Ulm, GERMANY

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Application of an Airborne Remote Sensing Platform for High Throughput Phenotyping of Wheat Crops

M. Tattaris, M. Reynolds, J. Pietragalla, G. Molero, M. Ellis, C.M. Cossani
CIMMYT, International Maize and Wheat Improvement Center, MEXICO

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Assessment of grapevine leaf and canopy vigour properties by quadrocopter-carried VIS/NIR mul-tispectral camera

R. Retzlaff (1), D. Molitor (2), M. Behr (2), T. Wantzenrieder, L. Hoffmann (2), D. Evers (2), T. Udelhoven (1,2)
(1) Institute of Environmental Remote Sensing and Geoinformatics, University of Trier, GERMANY, (2) Department Environment and Agro-biotechnologies, LUXEMBOURG

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Automated Calculation and Stability Analysis of Common Vegetationindices with HyperCor – first results

H. Aasen
University of Cologne, Institute of Geography, GIS & RS Group, GERMANY

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Automated plant parameterizing using high precision laserscanning and geometry based surface classification

S. Paulus, H. Kuhlmann
Institute for Geodesy and Geoinformation, University of Bonn, GERMANY

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Automatic Co-registration of Frame Hyperspectral Data from UAVs

M. Vakalopoulou, K. Karantzalos
Remote Sensing Laboratory, National Technical University of Athens, GREECE

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Characteristics of consumer-grade cameras for multi-spectal vegetation monitoring with ultra-light UAVs

R. de Jong (1), W. Nijland (2), H. Torabzadeh (1), A. Hueni (1) and M. E. Schaepman (1)
(1) Remote Sensing Laboratories, University of Zurich, SWITZERLAND, (2) Dept. of Forest Resource Management, University of British Columbia, CANADA

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Classification of riparian forest species (individual tree level) using UAV-based Canopy Height Model and multitemporal orthophotos (Vielsalm, Eastern Belgium)

M. Adrien, J.Lisein, F. Toromanoff, P. Lejeune, C. Hugues
University of Liege - Gembloux Agro-Bio Tech. Unit of Forest and Nature Management, BELGIUM

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Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration

B. Siegmann (1), T. Jarmer (1), H. Lilienthal (2), N. Richter (2), T. Selige (3), B. Höfle (4)
(1) Institute for Geoinformatics and Remote Sensing, University of Osnabrueck, GERMANY, (2) Julius Kühn-Institut, Institute for Crop and Soil Science, GERMANY, (3) Institute of Soil Ecology, TU Munich, GERMANY, (4) Institute of Geography, University of Heidelberg, GERMANY

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Construction and Measurement Technology of the ThuenoCopter for Contactless Inspection of Crop Canopies: First Measurements with a Low Cost Image Analyzing System

H. Neeland, M. Kraft
Thünen Institute of Agricultural Technology, Braunschweig, GERMANY

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Crop drought monitoring using NDVI and NDWI indices in Southern part of Romania

A. T. Nertan, A. Irimescu, D. Mihailescu, V. Stefanescu
National Meteorological Administration, ROMANIA

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Crown area allometries for surveying blossoming wild cherry with unmanned aerial system (UAS)

J. Lisein, A. Michez, S. Bonnet, P. Lejeune
University of Liege - Gembloux Agro-Bio Tech. Unit of Forest and Nature Management, BELGIUM

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Density estimation of the sugar beet nematode Heterodera schachtii from hyperspectral signatures of canopies

K. Schmidt (1), B. Fricke (2), M. Daub (3)
(1) Nemaplot, Bonn, GERMANY, (2) INRES-Plant Nutrition, University of Bonn, GERMANY, (3) Julius Kühn Institut, Institute for Plant Protection in Field Crops and Grassland, Elsdorf, GERMANY

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Derivative analysis to improve rice biomass estimation at early growth stages

M. L. Gnyp (1,4), Y. Miao (2,4), F. Yuan (3,4), K. Yu (1,4), Y. Yao (2,4), S. Huang (2,4), G. Bareth (1,4)
(1) Institute of Geography, University of Cologne, GERMANY, (2) College of Resources and Environmental Science, China Agricultural University, CHINA, (3) Department of Geography, Minnesota State University, USA, (4) ICASD-International Center for Agro-Informatics and Sustainable Development

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Detection of phytopthora leaf fall disease in rubber plantation usig nmini drone: preliminary results

K.Charoenjit (1)(2) , S. Pattanakiat (2)
(1) Faculty of Geo-infSaormatics, Burapha University, THAILAND, (2) Geo-informatics in Resource and Environment Research and Training center (GIREN-RTC), Faculty of Environment and Resource studies, Mahidol University Puttamonthon, THAILAND

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Echo digitizing LIDAR systems for UAV-based vegetation mapping

U. Riegl, P. Rieger, M. Pfennigbauer, A. Ullrich
RIEGL Laser Measurement Systems GmbH, GERMANY

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Environmental change detection using hyperspatial and hypertemporal data captured using unmanned aerial vehicles (UAV) in the context of coastal erosion

S. Harwin, A. Lucieer
School of Geography and Environmental Studies, University of Tasmania, AUSTRALIA

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Fusion of hyperspectral images and 3D point clouds for undistorted high precision plant imaging

J. Behmann (1), S. Paulus (1), A.-K. Mahlein (2), E.-C. Oerke (2), H. Kuhlmann (1), L. Plümer (1)
(1) Institute for Geodesy and Geoinformation, University of Bonn, GERMANY, (2) Institute of Crop Science and Resource Conservation, University of Bonn, GERMANY

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Generation of very high resolution crop surface models (CSMs) using a low-cost UAV system: A method of plant height and biomass monitoring

J. Bendig
University of Cologne, Institute of Geography, GIS & RS Group, GERMANY

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High-frequency crop monitoring using a light-weight hyperspectral mapping system for unmanned aerial vehicles

L. Kooistra (1), J. Suomalainen (1), S. Iqbal (2), J. Franke (3), P. Wenting (1), H. Bartholomeus (1), R.Becker (3)
(1) Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, THE NETHERLANDS, (2) Hochschule-Rhein-Waal, GERMANY, (3) Alterra, THE NETHERLANDS

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High-resolution hyperspectral and thermal imagery acquired from UAV platforms for early detection of Verticillium wilt using fluorescence, temperature and narrow-band indices

R. Calderón, J. A. Navas-Cortés, C. Lucena, P. J. Zarco-Tejada
Instituto de Agricultura Sostenible (IAS), Consejo Superior de Investigaciones Científicas (CSIC), Córdoba, SPAIN

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Hyperspectral and metabolic profiling of diseased sugar beet leaves

A.-K. Mahlein (1), R. Krechel (2), M. Wimmer (2), H. Goldbach (2), U. Steiner (1), E.-C. Oerke (1)
(1) INRES-Phytomedicine, University of Bonn, GERMANY, (2) INRES-Plant Nutrition, University of Bonn, GERMANY

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Introducing a novel miniaturized high performance spectrometer to measure vegetation using an octocopter

A. Burkart (1), S. Von Bueren (2), S. Cogliati (3), L. Alonso (4), U. Rascher
(1) 1IBG-2: Plant Sciences, Research Center Juelich, GERMANY, (2) Institute of Natural Resources (INR), Massey University, Palmerston North, NEW ZEALAND, (3) Remote Sensing of Environmental Dynamics Laboratory, DISAT, Università degli Studi Milano-Bicocca, ITALY, (4) LEO Group, IPL, University of Valencia, SPAIN

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Introducing the Trimble UX5 and TBC Photogrammetry for unmanned airborne vegetation monitoring

K. Pauly
Gatewing - a Trimble Company, BELGIUM

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Investigation of Antarctic moss beds using high spatial resolution imaging spectroscopy

Z. Malenovsky (1), A. Lucieer (1), S. Robinson (2), T. Veness (1), D. Turner (1)
(1) School of Geography and Environmental Studies, University of Tasmania, AUSTRALIA, (2) Institute for Conservation Biology, University of Wollongong, AUSTRALIA

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Laser Scanning for 3D Vegetation Characterization: Web-based Infrastructure for Exploration and Analysis of Vegetation Signatures

K. Koenig, A. Kiefer, B. Höfle
Institute of Geography, University of Heidelberg, GERMANY

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Local Remote Sensing For Precision Agriculture Through Unmanned-Airborne- Vehicles (UAVs)

W. Shahid Qureshi, N. Shakya, M. N. Dailey, M. Ekpanyapong
Vision and Graphics Lab, School of Engineering and Technology, Asian Institute of Technology, THAILAND

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Mapping Density of Harvest Residues from Terrestrial Laser Scanning and RGB Imagery

K. Koenig (1), B. Höfle (1) , L. Müller (1), M. Hämmerle (1), T. Jarmer (2), B. Siegmann (2), H. Lilienthal (3)
(1) Institute of Geography, University of Heidelberg, GERMANY), (2) Institute for Geoinformatics and Remote Sensing, University of Osnabrueck, GERMANY, (3) Julius Kühn-Institut, Institute for Crop and Soil Science, GERMANY

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Mapping High Arctic plant communities on Svalbard

S. R. Karlsen (1), R. Storvold (1), B. Johansen (1), K.-S. Johansen (1), H. Tommervik (2), D. Joly (3), A. Zmarz (4)
(1) Northern Research Institute (Norut), NORWAY, (2) Norwegian Institute for Nature Research (NINA), NORWAY, (3) THeMA, CNRS, Universite de Franche-Comte, Besancon cedex, FRANCE, (4) Department of Geoinformatics and Remote Sensing, University of Warsaw, POLAND

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Monitoring of a landslide using ultra-high resolution UAV imagery

D. Turner, A. Lucieer
School of Geography and Environmental Studies, University of Tasmania, AUSTRALIA

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On the concept of a multi-scale integrated environmental monitoring system for South Tyrol

A. Vilardi (1), C. Notarnicola (1), E. Tomelleri (1,2), M. Zebisch (1)
(1) Institute for Applied Remote Sensing, EURAC Research, ITALY, (2) Max-Planck-Institute for Biogeochemistry, Jena, GERMANY

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One step up - Large scale field spectroscopy from UAVs on vegetation

A. Burkart, U. Rascher
Forschungszentrum Juelich GmbH, Plant Sciences (IBG-2), GERMANY

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Rikola Frame-Based Hyperspectral Camera. Results from UAV Measurement Campaigns

J. Soukkamäki (1), S. Heikki (2), E. Honkavaara (3), I. Pölönen (4), J. Kaivosoja (5)
(1) Rikola Ltd., Oulu, FINLAND, (2) VTT Photonic devices and measurement solutions, Espoo and Oulu, FINLAND, (3) Finnish Geodetic Institute, Kirkkonummi, FINLAN, (4) University of Jyväskylä, Jyväskylä, FINLAND,(5) MTT - Agrifood Research Finland, Vihti, FINLAND

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Terrestrial laser scanning for precise plant height measurement and biomass estimation of barley - visualized in multi-temporal Crop Surface Models

N.Tilly, D.Hoffmeister, H. Aasen, J. Brands G. Bareth
University of Cologne, Institute of Geography, GIS & RS Group, GERMANY

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The design philosophy of a robust and adaptable multi-rotor UAV for ultra-high resolution hyperspectral scanning in agricultural remote sensing applications

T. Veness, A. Lucieer
School of Geography and Environmental Studies, University of Tasmania, AUSTRALIA

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Transferability of Indices across Multiple Sensors with Differing Spectral Resolutions

S. Cundill, H.M.A. van der Werff, M. van der Meijde
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, THE NETHERLANDS

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UAS in Morocco and Belgium - Evaluation of two mapping systems

S. d'Oleire-Oltmanns (1), F. Van Coillie (2) , W. Hantson (3)
(1) Department of Geoinformatics - Z_GIS, Salzburg, AUSTRIA, (2) Laboratory of Forest Management and Spatial Information Techniques - FORSIT, Ghent University, BELGIUM, (3) Avia-GIS, Zoersel, BELGIUM

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UAV-borne LiDAR for forest management

L. Wallace, A. Lucieer
School of Geography and Environmental Studies, University of Tasmania, AUSTRALIA

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Using area-based spectral indices to estimate aerial N uptake of maize

F. Li (1) (2), Y. Miao (2) (3), X. Chen (2) (3)
(1) College of Ecology & Environmental Science, Inner Mongolia Agricultural University,CHINA, (2) Intefornational Center for Agro-Inrmatics and Sustainable Development, CHINA, (3) Center for Resources, Environment and Food Security, China Agricultural University, CHINA

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Using partial least squares (PLS) to estimate canopy nitrogen and biomass of paddy rice in China's Sanjiang Plain

K. Yu (1, 2, 3), M. L.Gnyp (1, 3), X. Chen (2, 3), Y. Miao (2, 3), G. Bareth (1, 3)
(1) Institute of Geography, University of Cologne, GERMANY, (2)Center for Resources, Environment and Food Security, China Agricultural University, CHINA, (3) International Center for Agroinformatics and Sustainable Development

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Using UAV based thermal imaging for monitoring spring development of blackcurrant (Ribes nigrum)

K. Kusnierek, A. Korsaeth, A. Sonsteby
Bioforsk - Norwegian Institute for Agricultural and Environmental Research, NORWAY

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Using UAV for site-specific weed management in early season

J. M. Pena, J. Torres-Sánchez, A.I. de Castro, F. López-Granados
Institute for Sustainable Agriculture, CSIC, Córdoba, SPAIN

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Vegetation parameter estimation using unmanned aerial vehicles: a sensor comparison

S. von Bueren (1), A. Burkart (2), I. Yule (1)
(1) Massey University, NEW ZEALAND, (2) Research Centre Jülich, GERMANY

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