Lammert Kooistra
Orcid: 0000-0001-5549-5993
According to our database1,
Lammert Kooistra
authored at least 58 papers
between 2006 and 2024.
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Bibliography
2024
UAV-based simultaneous localization and mapping in outdoor environments: A systematic scoping review.
J. Field Robotics, August, 2024
Automated retrieval of cattle body measurements from unmanned aerial vehicle-based LiDAR point clouds.
Comput. Electron. Agric., 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?
Comput. Electron. Agric., 2024
2023
A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems.
Remote. Sens., August, 2023
Monitoring Individual Tree Phenology in a Multi-Species Forest Using High Resolution UAV Images.
Remote. Sens., July, 2023
Remote. Sens., March, 2023
Remote. Sens., March, 2023
A review of three-dimensional computer vision used in precision livestock farming for cattle growth management.
Comput. Electron. Agric., March, 2023
2022
Comput. Electron. Agric., 2022
Mapping of <i>Rumex obtusifolius</i> in nature conservation areas using very high resolution UAV imagery and deep learning.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Advancing environmental intelligence through novel approaches in soft bioinspired robotics and allied technologies: I-Seed project position paper for Environmental Intelligence in Europe.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022
2021
Factors Influencing Temperature Measurements from Miniaturized Thermal Infrared (TIR) Cameras: A Laboratory-Based Approach.
Sensors, 2021
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, 2021
Towards new frontiers for distributed environmental monitoring based on an ecosystem of plant seed-like soft robots.
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021
2020
Retrieval of Hyperspectral Information from Multispectral Data for Perennial Ryegrass Biomass Estimation.
Sensors, 2020
Remote. Sens., 2020
Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level.
Remote. Sens., 2020
Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring.
Proceedings of the Environmental Software Systems. Data Science in Action, 2020
Proceedings of the 2020 IEEE Global Engineering Education Conference, 2020
2019
A Comprehensive Study of the Potential Application of Flying Ethylene-Sensitive Sensors for Ripeness Detection in Apple Orchards.
Sensors, 2019
Object-Based Image Analysis Applied to Low Altitude Aerial Imagery for Potato Plant Trait Retrieval and Pathogen Detection.
Sensors, 2019
Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato.
Remote. Sens., 2019
IEEE Robotics Autom. Lett., 2019
2018
Exploring farmers' intentions to adopt mobile Short Message Service (SMS) for citizen science in agriculture.
Comput. Electron. Agric., 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.
Int. J. Appl. Earth Obs. Geoinformation, 2018
A novel approach for detecting agricultural terraced landscapes from historical and contemporaneous photogrammetric aerial photos.
Int. J. Appl. Earth Obs. Geoinformation, 2018
Validation of a small flying e-nose system for air pollutants control: A plume detection case study from an agricultural machine.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
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. <i>Sensors</i> 2017, <i>17</i>, 1428.
Sensors, 2017
Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production.
Sensors, 2017
Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR.
Sensors, 2017
Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle.
Remote. Sens., 2017
Biodiversity Monitoring in Changing Tropical Forests: A Review of Approaches and New Opportunities.
Remote. Sens., 2017
Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy.
Remote. Sens., 2017
Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop.
Remote. Sens., 2017
2016
Reconstructing land use history from Landsat time-series: Case study of a swidden agriculture system in Brazil.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
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., 2015
Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches.
ISPRS Int. J. Geo Inf., 2015
An evaluation of remote sensing derived soil pH and average spring groundwater table for ecological assessments.
Int. J. Appl. Earth Obs. Geoinformation, 2015
2014
A Lightweight Hyperspectral Mapping System and Photogrammetric Processing Chain for Unmanned Aerial Vehicles.
Remote. Sens., 2014
Object-based random forest classification for mapping floodplain vegetation structure from nation-wide CIR AND LiDAR datasets.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
2013
Remote. Sens., 2013
A light-weight hyperspectral mapping system for unmanned aerial vehicles - The first results.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Near real-time tropical forest disturbance monitoring using Landsat time series and local expert monitoring data.
Proceedings of the 7th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2013
2012
Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA Data.
Remote. Sens., 2012
2011
Sensors, 2011
Soil Organic Carbon mapping of partially vegetated agricultural fields with imaging spectroscopy.
Int. J. Appl. Earth Obs. Geoinformation, 2011
Using hyperspectral remote sensing data for retrieving total canopy chlorophyll and nitrogen content.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
2010
Int. J. Appl. Earth Obs. Geoinformation, 2010
Monitoring heathland habitat status using hyperspectral image classification and unmixing.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010
2009
Development of a Dynamic Web Mapping Service for Vegetation Productivity Using Earth Observation and <i>in situ</i> Sensors in a Sensor Web Based Approach.
Sensors, 2009
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Proceedings of the GeoSensor Networks, Third International Conference, 2009
2008
Using spectral information from the NIR water absorption features for the retrieval of canopy water content.
Int. J. Appl. Earth Obs. Geoinformation, 2008
2006
Regional Scale Monitoring of Vegetation Biomass in River Floodplains Using Imaging Spectroscopy and Ecological Modeling.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006