POTENTIAL OF AIRBORNE IMAGING SPECTROSCOPY AT CZECHGLOBE

11 citations as recorded by crossref.

1. Spectral Properties of Coniferous Forests: A Review of In Situ and Laboratory Measurements M. Rautiainen et al. 10.3390/rs10020207
2. Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance A. Hovi et al. 10.1016/j.rse.2023.113610
3. The role of the vegetation structure, primary productivity and senescence derived from airborne LiDAR and hyperspectral data for birds diversity and rarity on a restored site V. Moudrý et al. 10.1016/j.landurbplan.2021.104064
4. Habitat heterogeneity from lidar and hyperspectral data: Implications for bird guilds and restoration management of coal mines L. Moudrá et al. 10.1111/1365-2664.70071
5. Analyzing Daily Estimation of Forest Gross Primary Production Based on Harmonized Landsat-8 and Sentinel-2 Product Using SCOPE Process-Based Model R. Raj et al. 10.3390/rs12223773
6. Ecophysiological variables retrieval and early stress detection: insights from a synthetic spatial scaling exercise J. Pacheco-Labrador et al. 10.1080/01431161.2024.2414435
7. The Use of Spectral Indices to Recognize Waterlogged Agricultural Land in South Moravia, Czech Republic M. Bednář et al. 10.3390/agriculture13020287
8. Integration of hyperspectral and LiDAR data for mapping small water bodies J. Prošek et al. 10.1016/j.jag.2020.102181
9. In situ data supporting remote sensing estimation of spruce forest parameters at the ecosystem station Bílý Kříž L. Homolová et al. 10.11118/beskyd201710010075
10. Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging A. Gholizadeh et al. 10.1016/j.rse.2018.09.015
11. Assessment of Soil Degradation by Erosion Based on Analysis of Soil Properties Using Aerial Hyperspectral Images and Ancillary Data, Czech Republic D. Žížala et al. 10.3390/rs9010028