Integration of multispectral satellite and hyperspectral field data for aquatic macrophyte studies

10 citations as recorded by crossref.

1. Evaluation of water hyacinth utility through geospatial mapping and in situ biomass estimation approach: a case study of Deepor beel (wetland), Assam, India K. Rajora et al. https://doi.org/10.1007/s10661-023-11900-8
2. A New Sentinel-2 Spectral Index for Mapping Hydrilla verticillata in Shallow Freshwater Lakes in Florida, USA A. M et al. https://doi.org/10.3390/rs17111894
3. Monitoring wheat area using sentinel-2 imagery and In-situ spectroradiometer data in heterogeneous field conditions A. Islam et al. https://doi.org/10.1007/s44279-024-00069-4
4. A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists G. Rowan & M. Kalacska https://doi.org/10.3390/rs13040623
5. Environmental coherence framework for multi-sensor remote sensing: water hyacinth assessment in Lake Tana M. Mahmoud et al. https://doi.org/10.1038/s41598-026-46912-0
6. Enhancing macrophyte sub-classification through neighborhood-independent full-waveform LiDAR J. Rhomberg-Kauert et al. https://doi.org/10.1016/j.ophoto.2026.100144
7. Hyperspectral discrimination of Eichhornia crassipes covers, in the red edge and near infrared in a Mediterranean river Y. Ghoussein et al. https://doi.org/10.1007/s10530-023-03131-2
8. Estimating chlorophyll content at leaf scale in viroid-inoculated oil palm seedlings (Elaeis guineensis Jacq.) using reflectance spectra (400 nm–1050 nm) K. Golhani et al. https://doi.org/10.1080/01431161.2019.1584930
9. Spatio-Temporal Water Hyacinth Monitoring in the Lower Mondego (Portugal) Using Remote Sensing Data L. Pádua et al. https://doi.org/10.3390/plants11243465
10. Revisit and optimisation of spectral data collection techniques from vegetation using handheld non-imaging spectroscopic sensor for minimising errors V. Upadhyay et al. https://doi.org/10.1016/j.vibspec.2020.103159