Andrew Nelson
Orcid: 0000-0002-7249-3778Affiliations:
- University of Twente, Faculty of Geo-Information Science and Earth Observation, The Netherlands
- International Rice Research Institute (IRRI), Los Baños, Philippines (former)
- University of Leeds, Department of Geography, UK (PhD)
According to our database1,
Andrew Nelson
authored at least 23 papers
between 2011 and 2024.
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Bibliography
2024
Low-Cost Sensors and Multitemporal Remote Sensing for Operational Turbidity Monitoring in an East African Wetland Environment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Assimilation of Earth Observation Data for Crop Yield Estimation in Smallholder Agricultural Systems.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Characterising maize and intercropped maize spectral signatures for cropping pattern classification.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Automatization and evaluation of a remote sensing-based indicator for wetland health assessment in East Africa on national and local scales.
Ecol. Informatics, July, 2023
Cropland Mapping in Tropical Smallholder Systems with Seasonally Stratified Sentinel-1 and Sentinel-2 Spectral and Textural Features.
Remote. Sens., June, 2023
AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms.
IEEE Geosci. Remote. Sens. Lett., 2023
2022
Tracking crop phenology in a highly dynamic landscape with knowledge-based Landsat-MODIS data fusion.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Int. J. Appl. Earth Obs. Geoinformation, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Understanding Intra-Annual Dynamics of Ecosystem Services Using Satellite Image Time Series.
Remote. Sens., 2020
Characterizing and mapping cropping patterns in a complex agro-ecosystem: An iterative participatory mapping procedure using machine learning algorithms and MODIS vegetation indices.
Comput. Electron. Agric., 2020
Winter cover crops in Dutch maize fields: Variability in quality and its drivers assessed from multi-temporal Sentinel-2 imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery.
Remote. Sens., 2019
Relating X-band SAR Backscattering to Leaf Area Index of Rice in Different Phenological Phases.
Remote. Sens., 2019
Int. J. Appl. Earth Obs. Geoinformation, 2019
2015
Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan.
Remote. Sens., 2015
2014
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project.
Remote. Sens., 2014
Complementarity of Two Rice Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR.
Remote. Sens., 2014
2011
Mapping Irrigated Areas of Ghana Using Fusion of 30 m and 250 m Resolution Remote-Sensing Data.
Remote. Sens., 2011