Determining iron content in Mediterranean soils in partly vegetated areas, using spectral reflectance and imaging spectroscopy. - Harm M. Bartholomeus; Gerrit F. Epema; Michael E. Schaepman (Int. J. Appl. Earth Obs. Geoinformation, 2007)

Scaling dimensions in spectroscopy of soil and vegetation. - Zbynek Malenovský; Harm M. Bartholomeus; Fausto W. Acerbi-Junior; Jürg Schopfer; Thomas H. Painter; Gerrit F. Epema; Arnold K. Bregt (Int. J. Appl. Earth Obs. Geoinformation, 2007)

Soil Organic Carbon mapping of partially vegetated agricultural fields with imaging spectroscopy. - Harm M. Bartholomeus; Lammert Kooistra; Antoine Stevens; Martin van Leeuwen; Bas van Wesemael; Eyal Ben-Dor; Bernard Tychon (Int. J. Appl. Earth Obs. Geoinformation, 2011)

A Laboratory Goniometer System for Measuring Reflectance and Emittance Anisotropy. - Peter P. J. Roosjen; Jan G. P. W. Clevers; Harm M. Bartholomeus; Michael E. Schaepman; Gabriela Schaepman-Strub; Henk Jalink; Rob van der Schoor; Arjan de Jong (Sensors, 2012)

A light-weight hyperspectral mapping system for unmanned aerial vehicles - The first results. - Juha Suomalainen; Niels S. Anders; Shahzad Iqbal; Jappe Franke; Philip Wenting; Harm M. Bartholomeus; Rolf Becker; Lammert Kooistra (WHISPERS, 2013)

S. Anbazhagan, S.K. Subramanian, X. Yang, Geoinformatics in Applied Geomorphology (2011) CRC Press, Taylor and Francis Group, London 978-1-4398-3048-2 397 pp., Price: £82.00. - Harm M. Bartholomeus (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Estimating salinity stress in sugarcane fields with spaceborne hyperspectral vegetation indices. - Saeid Hamzeh; Abd Ali Naseri; Seyed Kazem Alavipanah; Barat Mojaradi; Harm M. Bartholomeus; Jan G. P. W. Clevers; M. Behzad (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam. - Arun Kumar Pratihast; Martin Herold 001; Valerio Avitabile; Sytze de Bruin; Harm M. Bartholomeus; Carlos M. Souza Jr.; Lars Ribbe (Sensors, 2013)

A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles. - Juha Suomalainen; Niels S. Anders; Shahzad Iqbal; Gerbert Roerink; Jappe Franke; Philip Wenting; Dirk Hünniger; Harm M. Bartholomeus; Rolf Becker; Lammert Kooistra (Remote. Sens., 2014)

Prediction of soil properties using imaging spectroscopy: Considering fractional vegetation cover to improve accuracy. - Marston Héracles Domingues Franceschini; José Alexandre Melo Demattê; F. da Silva Terra; L. E. Vicente; Harm M. Bartholomeus; Carlos Roberto de Souza Filho (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Assessing the accuracy of hyperspectral and multispectral satellite imagery for categorical and Quantitative mapping of salinity stress in sugarcane fields. - Saeid Hamzeh; Abd Ali Naseri; Seyed Kazem Alavipanah; Harm M. Bartholomeus; Martin Herold 001 (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Hyperspectral Reflectance Anisotropy Measurements Using a Pushbroom Spectrometer on an Unmanned Aerial Vehicle - Results for Barley, Winter Wheat, and Potato. - Peter P. J. Roosjen; Juha Suomalainen; Harm M. Bartholomeus; Jan G. P. W. Clevers (Remote. Sens., 2016)

Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle. - Peter P. J. Roosjen; Juha M. Suomalainen; Harm M. Bartholomeus; Lammert Kooistra; Jan G. P. W. Clevers (Remote. Sens., 2017)

Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR. - Benjamin Brede; Alvaro Lau; Harm M. Bartholomeus; Lammert Kooistra (Sensors, 2017)

Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. - Marston Héracles Domingues Franceschini; Harm M. Bartholomeus; Dirk van Apeldoorn; Juha Suomalainen; Lammert Kooistra (Sensors, 2017)

Correction: Domingues Franceschini, M.H.; et al. Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. Sensors 2017, 17, 1428. - Marston Héracles Domingues Franceschini; Harm M. Bartholomeus; Dirk van Apeldoorn; Juha Suomalainen; Lammert Kooistra (Sensors, 2017)

55-year (1960-2015) spatiotemporal shoreline change analysis using historical DISP and Landsat time series data in Shanghai. - Konstantin Ivushkin; Harm M. Bartholomeus; Arnold K. Bregt; Alim Pulatov; Elisabeth N. Bui; John Wilford (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data - potential of unmanned aerial vehicle imagery. - Peter P. J. Roosjen; Benjamin Brede; Juha M. Suomalainen; Harm M. Bartholomeus; Lammert Kooistra; Jan G. P. W. Clevers (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery. - Eleanor R. Thomson; Yadvinder Malhi; Harm M. Bartholomeus; Imma Oliveras; Agne Gvozdevaite; Theresa Peprah; Juha Suomalainen; John Quansah; John Seidu; Christian Adonteng; Andrew J. Abraham; Martin Herold 001; et al. (Remote. Sens., 2018)

Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates. - Gaia Vaglio Laurin; Jianqi Ding; Mathias Disney; Harm M. Bartholomeus; Martin Herold 001; Dario Papale; Riccardo Valentini 001 (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato. - Marston Héracles Domingues Franceschini; Harm M. Bartholomeus; Dirk Frederik van Apeldoorn; Juha Suomalainen; Lammert Kooistra (Remote. Sens., 2019)

Identifying and Quantifying the Abundance of Economically Important Palms in Tropical Moist Forest Using UAV Imagery. - Ximena Tagle Casapia; Lourdes Falen; Harm M. Bartholomeus; Rodolfo Cárdenas; Gerardo Flores; Martin Herold 001; Eurídice N. Honorio Coronado; Timothy R. Baker (Remote. Sens., 2020)

Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar. - Jelle ten Harkel; Harm M. Bartholomeus; Lammert Kooistra (Remote. Sens., 2020)

A Shortest Path Based Tree Isolation Method for UAV LiDAR Data. - Pasi Raumonen; Benjamin Brede; Alvaro Lau; Harm M. Bartholomeus (IGARSS, 2021)

Quantifying Tropical Forest Stand Structure Through Terrestrial and UAV Laser Scanning Fusion. - Louise Terryn; Kim Calders; Harm M. Bartholomeus; Renée E. Bartolo; Benjamin Brede; Barbara D'hont; Mathias Disney; Martin Herold 001; Alvaro Lau; Alexander F. Shenkin; Timothy G. Whiteside; Phillip Wilkes; et al. (IGARSS, 2021)

Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV. - Na Wang; Juha Suomalainen; Harm M. Bartholomeus; Lammert Kooistra; Dainius Masiliunas; Jan G. P. W. Clevers (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Characterising Termite Mounds in a Tropical Savanna with UAV Laser Scanning. - Barbara D'hont; Kim Calders; Harm M. Bartholomeus; Timothy G. Whiteside; Renée E. Bartolo; Shaun R. Levick; Sruthi M. Krishna Moorthy; Louise Terryn; Hans Verbeeck (Remote. Sens., 2021)

Peering through the thicket: Effects of UAV LiDAR scanner settings and flight planning on canopy volume discovery. - Benjamin Brede; Harm M. Bartholomeus; Nicolas Barbier; François Pimont; Grégoire Vincent; Martin Herold 001 (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Evaluating Data Inter-Operability of Multiple UAV-LiDAR Systems for Measuring the 3D Structure of Savanna Woodland. - Harm M. Bartholomeus; Kim Calders; Timothy G. Whiteside; Louise Terryn; Sruthi M. Krishna Moorthy; Shaun R. Levick; Renée E. Bartolo; Hans Verbeeck (Remote. Sens., 2022)

Detection of Artificial Seed-like Objects from UAV Imagery. - Yanuar A. Bomantara; Hasib Mustafa; Harm M. Bartholomeus; Lammert Kooistra (Remote. Sens., 2023)

Detection of a vascular wilt disease in potato ('Blackleg') based on UAV hyperspectral imagery: Can structural features from LiDAR or SfM improve plant-wise classification accuracy? - Marston Héracles Domingues Franceschini; Benjamin Brede; Jan Kamp; Harm M. Bartholomeus; Lammert Kooistra (Comput. Electron. Agric., 2024)