Regional Scale Monitoring of Vegetation Biomass in River Floodplains Using Imaging Spectroscopy and Ecological Modeling. - Lammert Kooistra; Maria Dolores Suárez Barranco; Han van Dobben; Michael E. Schaepman (IGARSS, 2006)

Using spectral information from the NIR water absorption features for the retrieval of canopy water content. - Jan G. P. W. Clevers; Lammert Kooistra; Michael E. Schaepman (Int. J. Appl. Earth Obs. Geoinformation, 2008)

User Requirements and Future Expectations for Geosensor Networks - An Assessment. - Lammert Kooistra; Sirpa Thessler; Arnold K. Bregt (GSN, 2009)

Using hyperspectral remote sensing data for retrieving canopy water content. - Jan G. P. W. Clevers; Lammert Kooistra (WHISPERS, 2009)

Development of a Dynamic Web Mapping Service for Vegetation Productivity Using Earth Observation and in situ Sensors in a Sensor Web Based Approach. - Lammert Kooistra; Aldo Bergsma; Beatus Chuma; Sytze de Bruin (Sensors, 2009)

Sensing a Changing World. - Arend Ligtenberg; Lammert Kooistra (Sensors, 2009)

Monitoring heathland habitat status using hyperspectral image classification and unmixing. - Stephanie Delalieux; Ben Somers; Birgen Haest; Lammert Kooistra; Caspar A. Mücher; Jeroen Vanden Borre (WHISPERS, 2010)

Estimating canopy water content using hyperspectral remote sensing data. - Jan G. P. W. Clevers; Lammert Kooistra; Michael E. Schaepman (Int. J. Appl. Earth Obs. Geoinformation, 2010)

Using hyperspectral remote sensing data for retrieving total canopy chlorophyll and nitrogen content. - Jan G. P. W. Clevers; Lammert Kooistra (WHISPERS, 2011)

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)

Geosensors to Support Crop Production: Current Applications and User Requirements. - Sirpa Thessler; Lammert Kooistra; Frederick Teye; Hanna Huitu; Arnold K. Bregt (Sensors, 2011)

Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA Data. - Jochem Verrelst; Erika Romijn; Lammert Kooistra (Remote. Sens., 2012)

Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content. - Jan G. P. W. Clevers; Lammert Kooistra (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Near real-time tropical forest disturbance monitoring using Landsat time series and local expert monitoring data. - Ben DeVries; Arun Kumar Pratihast; Jan Verbesselt; Lammert Kooistra; Sytze de Bruin; Martin Herold 001 (MultiTemp, 2013)

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)

Trait Estimation in Herbaceous Plant Assemblages from in situ Canopy Spectra. - Hans D. Roelofsen; Peter M. van Bodegom; Lammert Kooistra; Jan-Philip M. Witte (Remote. Sens., 2013)

Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications. - Caroline M. Gevaert; Jing Tang; F. Javier García-Haro; Juha Suomalainen; Lammert Kooistra (WHISPERS, 2014)

Object-based random forest classification for mapping floodplain vegetation structure from nation-wide CIR AND LiDAR datasets. - Lammert Kooistra; Ernst T. Kuilder; Caspar A. Mücher (WHISPERS, 2014)

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)

An evaluation of remote sensing derived soil pH and average spring groundwater table for ecological assessments. - Hans D. Roelofsen; Peter M. van Bodegom; Lammert Kooistra; Jorg J. van Amerongen; Jan-Philip M. Witte (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches. - Alessandra Capolupo; Lammert Kooistra; Clara Berendonk; Lorenzo Boccia; Juha Suomalainen (ISPRS Int. J. Geo Inf., 2015)

Generation of Spectral-Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications. - Caroline M. Gevaert; Juha Suomalainen; Jing Tang; Lammert Kooistra (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Reconstructing land use history from Landsat time-series: Case study of a swidden agriculture system in Brazil. - Loïc P. Dutrieux; Catarina C. Jakovac; Siti H. Latifah; Lammert Kooistra (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Citizen Sensing for Improved Urban Environmental Monitoring. - Qijun Jiang; Frank Kresin; Arnold K. Bregt; Lammert Kooistra; Emma Pareschi; Edith van Putten; Hester Volten; Joost Wesseling (J. Sensors, 2016)

Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop. - Jan G. P. W. Clevers; Lammert Kooistra; Marnix M. M. van den Brande (Remote. Sens., 2017)

Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy. - Birgen Haest; Jeroen Vanden Borre; Toon Spanhove; Guy Thoonen; Stephanie Delalieux; Lammert Kooistra; Caspar A. Mücher; Desiré Paelinckx; Paul Scheunders; Pieter Kempeneers (Remote. Sens., 2017)

Biodiversity Monitoring in Changing Tropical Forests: A Review of Approaches and New Opportunities. - Kalkidan Ayele Mulatu; Brice Mora; Lammert Kooistra; Martin Herold 001 (Remote. Sens., 2017)

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)

Validation of a small flying e-nose system for air pollutants control: A plume detection case study from an agricultural machine. - João Valente; Sandra Munniks; Imke de Man; Lammert Kooistra (ROBIO, 2018)

A novel approach for detecting agricultural terraced landscapes from historical and contemporaneous photogrammetric aerial photos. - Alessandra Capolupo; Lammert Kooistra; Lorenzo Boccia (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)

Exploring farmers' intentions to adopt mobile Short Message Service (SMS) for citizen science in agriculture. - Eskender Beza; Pytrik Reidsma; P. Marijn Poortvliet; Melisew Misker Belay; Ben Sjors Bijen; Lammert Kooistra (Comput. Electron. Agric., 2018)

Fast Classification of Large Germinated Fields Via High-Resolution UAV Imagery. - João Valente; Lammert Kooistra; Sander Mücher (IEEE Robotics Autom. Lett., 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)

Object-Based Image Analysis Applied to Low Altitude Aerial Imagery for Potato Plant Trait Retrieval and Pathogen Detection. - Jasper Siebring; João Valente; Marston Héracles Domingues Franceschini; Jan Kamp; Lammert Kooistra (Sensors, 2019)

A Comprehensive Study of the Potential Application of Flying Ethylene-Sensitive Sensors for Ripeness Detection in Apple Orchards. - João Valente; Rodrigo Almeida; Lammert Kooistra (Sensors, 2019)

MOOC Drones for Agriculture: The making-of. - João Valente; Lammert Kooistra (EDUCON, 2020)

Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring. - Tom Hardy; Marston Héracles Domingues Franceschini; Lammert Kooistra; Marcello Novani; Sebastiaan Richter (ISESS, 2020)

Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level. - Gustavo Togeiro de Alckmin; Arko Lucieer; Gerbert Roerink; Richard Rawnsley; Idse Hoving; Lammert Kooistra (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)

Retrieval of Hyperspectral Information from Multispectral Data for Perennial Ryegrass Biomass Estimation. - Gustavo Togeiro de Alckmin; Lammert Kooistra; Richard Rawnsley; Sytze de Bruin; Arko Lucieer (Sensors, 2020)

Towards new frontiers for distributed environmental monitoring based on an ecosystem of plant seed-like soft robots. - Barbara Mazzolai; Tobias Kraus; Nicola Pirrone; Lammert Kooistra; Antonio De Simone; Antoine Cottin; Laura Margheri (GoodIT, 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)

Factors Influencing Temperature Measurements from Miniaturized Thermal Infrared (TIR) Cameras: A Laboratory-Based Approach. - Quanxing Wan; Benjamin Brede; Magdalena Smigaj; Lammert Kooistra (Sensors, 2021)

Advancing environmental intelligence through novel approaches in soft bioinspired robotics and allied technologies: I-Seed project position paper for Environmental Intelligence in Europe. - Barbara Mazzolai; Tobias Kraus; Nicola Pirrone; Lammert Kooistra; Antonio De Simone; Antoine Cottin; Laura Margheri (GoodIT, 2022)

Mapping of Rumex obtusifolius in nature conservation areas using very high resolution UAV imagery and deep learning. - João Valente; Santosh Hiremath; Mar Ariza-Sentís; Marty Doldersum; Lammert Kooistra (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Perennial ryegrass biomass retrieval through multispectral UAV data. - Gustavo Togeiro de Alckmin; Arko Lucieer; Richard Rawnsley; Lammert Kooistra (Comput. Electron. Agric., 2022)

A review of three-dimensional computer vision used in precision livestock farming for cattle growth management. - Yaowu Wang; Sander Mücher; Wensheng Wang; Leifeng Guo; Lammert Kooistra (Comput. Electron. Agric., 2023)

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

Red Palm Weevil Detection in Date Palm Using Temporal UAV Imagery. - Stephanie Delalieux; Tom Hardy; Michel Ferry; Susi Gomez; Lammert Kooistra; Maria Culman; Laurent Tits (Remote. Sens., 2023)

Monitoring Individual Tree Phenology in a Multi-Species Forest Using High Resolution UAV Images. - Jasper Kleinsmann; Jan Verbesselt; Lammert Kooistra (Remote. Sens., 2023)

A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems. - Luleka Dlamini; Olivier Crespo; Jos van Dam; Lammert Kooistra (Remote. Sens., 2023)

Detection of Diseased Potato Plants with UAV Hyperspectral Imagery. - Tianyi Jia; Magdalena Smigaj; Gert Kootstra; Lammert Kooistra (WHISPERS, 2024)

Optimizing UAV-based uncooled thermal cameras in field conditions for precision agriculture. - Quanxing Wan; Magdalena Smigaj; Benjamin Brede; Lammert Kooistra (Int. J. Appl. Earth Obs. Geoinformation, 2024)

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)

Benchmarking of monocular camera UAV-based localization and mapping methods in vineyards. - Kaiwen Wang; Lammert Kooistra; Yaowu Wang; Sergio Vélez; Wensheng Wang; João Valente (Comput. Electron. Agric., 2024)

Automated retrieval of cattle body measurements from unmanned aerial vehicle-based LiDAR point clouds. - Yaowu Wang; Sander Mücher; Wensheng Wang; Lammert Kooistra (Comput. Electron. Agric., 2024)

UAV-based simultaneous localization and mapping in outdoor environments: A systematic scoping review. - Kaiwen Wang; Lammert Kooistra; Ruoxi Pan; Wensheng Wang; João Valente (J. Field Robotics, 2024)

Deep metric learning for individual cattle identification using coat patterns: Proposal for a best practice. - Yaowu Wang; Sander Mücher; Kaiwen Wang; Wensheng Wang; Lammert Kooistra (Comput. Electron. Agric., 2025)

Adaptive path planning for efficient object search by UAVs in agricultural fields. - Rick van Essen; Eldert J. van Henten; Lammert Kooistra; Gert Kootstra (CoRR, 2025)