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

9 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. 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
7. 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
8. Spatio-Temporal Water Hyacinth Monitoring in the Lower Mondego (Portugal) Using Remote Sensing Data L. Pádua et al. https://doi.org/10.3390/plants11243465
9. 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