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2020 – today
- 2024
[j42]Kaiwen Wang, Lammert Kooistra, Ruoxi Pan, Wensheng Wang, João Valente
:
UAV-based simultaneous localization and mapping in outdoor environments: A systematic scoping review. J. Field Robotics 41(5): 1617-1642 (2024)- 2023
- [j41]Yaowu Wang, Sander Mücher, Wensheng Wang, Leifeng Guo, Lammert Kooistra:
A review of three-dimensional computer vision used in precision livestock farming for cattle growth management. Comput. Electron. Agric. 206: 107687 (2023) - [j40]Stephanie Delalieux, Tom Hardy, Michel Ferry, Susi Gomez, Lammert Kooistra, Maria Culman, Laurent Tits:
Red Palm Weevil Detection in Date Palm Using Temporal UAV Imagery. Remote. Sens. 15(5): 1380 (2023) - [j39]Yanuar A. Bomantara, Hasib Mustafa, Harm M. Bartholomeus, Lammert Kooistra:
Detection of Artificial Seed-like Objects from UAV Imagery. Remote. Sens. 15(6): 1637 (2023) - [j38]Jasper Kleinsmann, Jan Verbesselt, Lammert Kooistra:
Monitoring Individual Tree Phenology in a Multi-Species Forest Using High Resolution UAV Images. Remote. Sens. 15(14): 3599 (2023) - [j37]Luleka Dlamini, Olivier Crespo, Jos van Dam, Lammert Kooistra:
A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems. Remote. Sens. 15(16): 4066 (2023) - 2022
- [j36]João Valente, Santosh Hiremath, Mar Ariza-Sentís, Marty Doldersum, Lammert Kooistra:
Mapping of Rumex obtusifolius in nature conservation areas using very high resolution UAV imagery and deep learning. Int. J. Appl. Earth Obs. Geoinformation 112: 102864 (2022) - [j35]Gustavo Togeiro de Alckmin, Arko Lucieer, Richard Rawnsley, Lammert Kooistra:
Perennial ryegrass biomass retrieval through multispectral UAV data. Comput. Electron. Agric. 193: 106574 (2022) - [c14]Barbara Mazzolai, Tobias Kraus, Nicola Pirrone, Lammert Kooistra, Antonio De Simone, Antoine Cottin, Laura Margheri:
Advancing environmental intelligence through novel approaches in soft bioinspired robotics and allied technologies: I-Seed project position paper for Environmental Intelligence in Europe. GoodIT 2022: 265-268 - 2021
- [j34]Na Wang, Juha Suomalainen, Harm M. Bartholomeus, Lammert Kooistra, Dainius Masiliunas, Jan G. P. W. Clevers:
Diurnal variation of sun-induced chlorophyll fluorescence of agricultural crops observed from a point-based spectrometer on a UAV. Int. J. Appl. Earth Obs. Geoinformation 96: 102276 (2021) - [j33]Quanxing Wan, Benjamin Brede, Magdalena Smigaj, Lammert Kooistra:
Factors Influencing Temperature Measurements from Miniaturized Thermal Infrared (TIR) Cameras: A Laboratory-Based Approach. Sensors 21(24): 8466 (2021) - [c13]Barbara Mazzolai, Tobias Kraus, Nicola Pirrone, Lammert Kooistra, Antonio De Simone, Antoine Cottin, Laura Margheri:
Towards new frontiers for distributed environmental monitoring based on an ecosystem of plant seed-like soft robots. GoodIT 2021: 221-224 - 2020
- [j32]Jelle ten Harkel, Harm M. Bartholomeus, Lammert Kooistra:
Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar. Remote. Sens. 12(1): 17 (2020) - [j31]Gustavo Togeiro de Alckmin, Arko Lucieer, Gerbert Roerink, Richard Rawnsley, Idse Hoving, Lammert Kooistra:
Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level. Remote. Sens. 12(18): 2958 (2020) - [j30]Gustavo Togeiro de Alckmin, Lammert Kooistra, Richard Rawnsley, Sytze de Bruin, Arko Lucieer:
Retrieval of Hyperspectral Information from Multispectral Data for Perennial Ryegrass Biomass Estimation. Sensors 20(24): 7192 (2020) - [c12]João Valente, Lammert Kooistra:
MOOC Drones for Agriculture: The making-of. EDUCON 2020: 1692-1695 - [c11]Tom Hardy, Marston Héracles Domingues Franceschini, Lammert Kooistra, Marcello Novani, Sebastiaan Richter:
Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring. ISESS 2020: 48-56
2010 – 2019
- 2019
- [j29]João Valente, Lammert Kooistra, Sander Mücher:
Fast Classification of Large Germinated Fields Via High-Resolution UAV Imagery. IEEE Robotics Autom. Lett. 4(4): 3216-3223 (2019) - [j28]Marston Héracles Domingues Franceschini, Harm M. Bartholomeus, Dirk Frederik van Apeldoorn, Juha Suomalainen, Lammert Kooistra:
Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato. Remote. Sens. 11(3): 224 (2019) - [j27]João Valente, Rodrigo Almeida, Lammert Kooistra:
A Comprehensive Study of the Potential Application of Flying Ethylene-Sensitive Sensors for Ripeness Detection in Apple Orchards. Sensors 19(2): 372 (2019) - [j26]Jasper Siebring, João Valente, Marston Héracles Domingues Franceschini, Jan Kamp, Lammert Kooistra:
Object-Based Image Analysis Applied to Low Altitude Aerial Imagery for Potato Plant Trait Retrieval and Pathogen Detection. Sensors 19(24): 5477 (2019) - 2018
- [j25]Peter P. J. Roosjen, Benjamin Brede, Juha M. Suomalainen, Harm M. Bartholomeus, Lammert Kooistra, Jan G. P. W. Clevers:
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. Int. J. Appl. Earth Obs. Geoinformation 66: 14-26 (2018) - [j24]Alessandra Capolupo, Lammert Kooistra, Lorenzo Boccia:
A novel approach for detecting agricultural terraced landscapes from historical and contemporaneous photogrammetric aerial photos. Int. J. Appl. Earth Obs. Geoinformation 73: 800-810 (2018) - [j23]Eskender Beza, Pytrik Reidsma, P. Marijn Poortvliet, Melisew Misker Belay, Ben Sjors Bijen, Lammert Kooistra:
Exploring farmers' intentions to adopt mobile Short Message Service (SMS) for citizen science in agriculture. Comput. Electron. Agric. 151: 295-310 (2018) - [c10]João Valente, Sandra Munniks, Imke de Man, Lammert Kooistra:
Validation of a small flying e-nose system for air pollutants control: A plume detection case study from an agricultural machine. ROBIO 2018: 1993-1998 - 2017
- [j22]Birgen Haest, Jeroen Vanden Borre, Toon Spanhove, Guy Thoonen, Stephanie Delalieux, Lammert Kooistra, Caspar A. Mücher, Desiré Paelinckx, Paul Scheunders, Pieter Kempeneers:
Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy. Remote. Sens. 9(3): 266 (2017) - [j21]Jan G. P. W. Clevers, Lammert Kooistra, Marnix M. M. van den Brande:
Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop. Remote. Sens. 9(5): 405 (2017) - [j20]Peter P. J. Roosjen, Juha M. Suomalainen, Harm M. Bartholomeus, Lammert Kooistra, Jan G. P. W. Clevers:
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle. Remote. Sens. 9(5): 417 (2017) - [j19]Kalkidan Ayele Mulatu, Brice Mora, Lammert Kooistra, Martin Herold:
Biodiversity Monitoring in Changing Tropical Forests: A Review of Approaches and New Opportunities. Remote. Sens. 9(10): 1059 (2017) - [j18]Marston Héracles Domingues Franceschini, Harm M. Bartholomeus, Dirk van Apeldoorn, Juha Suomalainen, Lammert Kooistra:
Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. Sensors 17(6): 1428 (2017) - [j17]Marston Héracles Domingues Franceschini, Harm M. Bartholomeus, Dirk van Apeldoorn, Juha Suomalainen, Lammert Kooistra:
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. Sensors 17(10): 2265 (2017) - [j16]Benjamin Brede, Alvaro Lau, Harm M. Bartholomeus, Lammert Kooistra:
Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR. Sensors 17(10): 2371 (2017) - 2016
- [j15]Loïc P. Dutrieux, Catarina C. Jakovac, Siti H. Latifah, Lammert Kooistra:
Reconstructing land use history from Landsat time-series: Case study of a swidden agriculture system in Brazil. Int. J. Appl. Earth Obs. Geoinformation 47: 112-124 (2016) - [j14]Qijun Jiang, Frank Kresin, Arnold K. Bregt, Lammert Kooistra, Emma Pareschi, Edith van Putten, Hester Volten, Joost Wesseling:
Citizen Sensing for Improved Urban Environmental Monitoring. J. Sensors 2016: 5656245:1-5656245:9 (2016) - 2015
- [j13]Hans D. Roelofsen, Peter M. van Bodegom, Lammert Kooistra, Jorg J. van Amerongen, Jan-Philip M. Witte:
An evaluation of remote sensing derived soil pH and average spring groundwater table for ecological assessments. Int. J. Appl. Earth Obs. Geoinformation 43: 149-159 (2015) - [j12]Alessandra Capolupo, Lammert Kooistra, Clara Berendonk, Lorenzo Boccia, Juha Suomalainen:
Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches. ISPRS Int. J. Geo Inf. 4(4): 2792-2820 (2015) - [j11]Caroline M. Gevaert, Juha Suomalainen, Jing Tang, Lammert Kooistra:
Generation of Spectral-Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3140-3146 (2015) - 2014
- [j10]Juha Suomalainen, Niels S. Anders, Shahzad Iqbal, Gerbert Roerink, Jappe Franke, Philip Wenting, Dirk Hünniger, Harm M. Bartholomeus, Rolf Becker, Lammert Kooistra:
A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles. Remote. Sens. 6(11): 11013-11030 (2014) - [c9]Caroline M. Gevaert, Jing Tang, F. Javier García-Haro, Juha Suomalainen, Lammert Kooistra:
Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications. WHISPERS 2014: 1-4 - [c8]Lammert Kooistra, Ernst T. Kuilder, Caspar A. Mücher:
Object-based random forest classification for mapping floodplain vegetation structure from nation-wide CIR AND LiDAR datasets. WHISPERS 2014: 1-4 - 2013
- [j9]Hans D. Roelofsen, Peter M. van Bodegom, Lammert Kooistra, Jan-Philip M. Witte:
Trait Estimation in Herbaceous Plant Assemblages from in situ Canopy Spectra. Remote. Sens. 5(12): 6323-6345 (2013) - [c7]Ben DeVries, Arun Kumar Pratihast, Jan Verbesselt, Lammert Kooistra, Sytze de Bruin, Martin Herold:
Near real-time tropical forest disturbance monitoring using Landsat time series and local expert monitoring data. MultiTemp 2013: 1-4 - [c6]Juha Suomalainen, Niels S. Anders, Shahzad Iqbal, Jappe Franke, Philip Wenting, Harm M. Bartholomeus, Rolf Becker, Lammert Kooistra:
A light-weight hyperspectral mapping system for unmanned aerial vehicles - The first results. WHISPERS 2013: 1-4 - 2012
- [j8]Jochem Verrelst, Erika Romijn, Lammert Kooistra:
Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA Data. Remote. Sens. 4(9): 2866-2889 (2012) - [j7]Jan G. P. W. Clevers, Lammert Kooistra:
Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 574-583 (2012) - 2011
- [j6]Harm M. Bartholomeus, Lammert Kooistra, Antoine Stevens, Martin van Leeuwen, Bas van Wesemael, Eyal Ben-Dor, Bernard Tychon:
Soil Organic Carbon mapping of partially vegetated agricultural fields with imaging spectroscopy. Int. J. Appl. Earth Obs. Geoinformation 13(1): 81-88 (2011) - [j5]Sirpa Thessler, Lammert Kooistra, Frederick Teye, Hanna Huitu, Arnold K. Bregt:
Geosensors to Support Crop Production: Current Applications and User Requirements. Sensors 11(7): 6656-6684 (2011) - [c5]Jan G. P. W. Clevers, Lammert Kooistra:
Using hyperspectral remote sensing data for retrieving total canopy chlorophyll and nitrogen content. WHISPERS 2011: 1-4 - 2010
- [j4]Jan G. P. W. Clevers, Lammert Kooistra, Michael E. Schaepman:
Estimating canopy water content using hyperspectral remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 12(2): 119-125 (2010) - [c4]Stephanie Delalieux, Ben Somers, Birgen Haest, Lammert Kooistra, Caspar A. Mücher, Jeroen Vanden Borre:
Monitoring heathland habitat status using hyperspectral image classification and unmixing. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j3]Lammert Kooistra, Aldo Bergsma, Beatus Chuma, Sytze de Bruin:
Development of a Dynamic Web Mapping Service for Vegetation Productivity Using Earth Observation and in situ Sensors in a Sensor Web Based Approach. Sensors 9(4): 2371-2388 (2009) - [j2]Arend Ligtenberg, Lammert Kooistra:
Sensing a Changing World. Sensors 9(9): 6819-6822 (2009) - [c3]Lammert Kooistra, Sirpa Thessler, Arnold K. Bregt:
User Requirements and Future Expectations for Geosensor Networks - An Assessment. GSN 2009: 149-157 - [c2]Jan G. P. W. Clevers, Lammert Kooistra:
Using hyperspectral remote sensing data for retrieving canopy water content. WHISPERS 2009: 1-4 - 2008
- [j1]Jan G. P. W. Clevers, Lammert Kooistra, Michael E. Schaepman:
Using spectral information from the NIR water absorption features for the retrieval of canopy water content. Int. J. Appl. Earth Obs. Geoinformation 10(3): 388-397 (2008) - 2006
- [c1]Lammert Kooistra, Maria Dolores Suárez Barranco, Han van Dobben, Michael E. Schaepman:
Regional Scale Monitoring of Vegetation Biomass in River Floodplains Using Imaging Spectroscopy and Ecological Modeling. IGARSS 2006: 124-127
Coauthor Index
aka: Juha M. Suomalainen
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