Nitrogen concentration estimation with hyperspectral LiDAR

14 citations as recorded by crossref.

1. Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance J. Sun et al. https://doi.org/10.3390/rs9090951
2. The power of fusion: LiDAR meets hyperspectral imaging in a new era of exploration N. Kazanskiy et al. https://doi.org/10.1016/j.optlastec.2025.114080
3. Estimating leaf chlorophyll and nitrogen contents using active hyperspectral LiDAR and partial least square regression method K. Bi et al. https://doi.org/10.1117/1.JRS.13.034513
4. Feasibility Study of Ore Classification Using Active Hyperspectral LiDAR Y. Chen et al. https://doi.org/10.1109/LGRS.2018.2854358
5. Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR L. Du et al. https://doi.org/10.1016/j.jag.2015.08.008
6. Estimating the nitrogen nutrition index in grass seed crops using a UAV-mounted multispectral camera H. Wang et al. https://doi.org/10.1080/01431161.2019.1569783
7. Application of spectral indices and reflectance spectrum on leaf nitrogen content analysis derived from hyperspectral LiDAR data L. Du et al. https://doi.org/10.1016/j.optlastec.2018.06.019
8. Application of Hyperspectral LiDAR on 3-D Chlorophyll-Nitrogen Mapping of Rohdea Japonica in Laboratory L. Du et al. https://doi.org/10.1109/JSTARS.2021.3111295
9. LiDAR: An important tool for next-generation phenotyping technology of high potential for plant phenomics? Y. Lin https://doi.org/10.1016/j.compag.2015.10.011
10. Analyzing the performance of fluorescence parameters in the monitoring of leaf nitrogen content of paddy rice J. Yang et al. https://doi.org/10.1038/srep28787
11. Constructing 3D SPAD distribution using hyperspectral LiDAR point cloud by PROSPECT model inversion H. Shao et al. https://doi.org/10.1080/01431161.2024.2403621
12. Study of a High Spectral Resolution Hyperspectral LiDAR in Vegetation Red Edge Parameters Extraction C. Jiang et al. https://doi.org/10.3390/rs11172007
13. Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture B. Lu et al. https://doi.org/10.3390/rs12162659
14. True-Color Three-Dimensional Imaging and Target Classification BASED on Hyperspectral LiDAR B. Chen et al. https://doi.org/10.3390/rs11131541