DEVELOPING SPECIES SPECIFIC VEGETATION MAPS USING MULTI-SPECTRAL HYPERSPATIAL IMAGERY FROM UNMANNED AERIAL VEHICLES

19 citations as recorded by crossref.

1. Unmanned Aircraft System Photogrammetry for Mapping Diverse Vegetation Species in a Heterogeneous Coastal Wetland S. Durgan et al. 10.1007/s13157-020-01373-7
2. Woody Plant Encroachment in a Seasonal Tropical Savanna: Lessons about Classifiers and Accuracy from UAV Images L. Costa et al. 10.3390/rs15092342
3. UAV-hyperspectral imaging of spectrally complex environments B. Banerjee et al. 10.1080/01431161.2020.1714771
4. Mapping vegetation-induced obstruction in agricultural ditches: A low-cost and flexible approach by UAV-SfM S. Cucchiaro et al. 10.1016/j.agwat.2021.107083
5. Derivation of fractured rock hybrid analytical equation for estimation of groundwater inflow into mine pit using major fault trigonometry E. Coffie-Anum et al. 10.1080/02626667.2024.2419603
6. Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system A. Michez et al. 10.1007/s10661-015-4996-2
7. Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR B. Banerjee & S. Raval 10.1007/s40789-022-00509-w
8. Thermal infrared imaging of geothermal environments and by an unmanned aerial vehicle (UAV): A case study of the Wairakei – Tauhara geothermal field, Taupo, New Zealand A. Nishar et al. 10.1016/j.renene.2015.09.042
9. UAV-assisted seeding and monitoring of reforestation sites: a review I. Stamatopoulos et al. 10.1080/00049158.2024.2343516
10. Recent applications of unmanned aerial imagery in natural resource management M. Shahbazi et al. 10.1080/15481603.2014.926650
11. The advantages of using drones over space-borne imagery in the mapping of mangrove forests M. Ruwaimana et al. 10.1371/journal.pone.0200288
12. What's a picture really worth? On the use of drone aerial imagery to estimate intertidal rocky shore mussel demographic parameters I. Gomes et al. 10.1016/j.ecss.2018.08.020
13. Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models C. Randin et al. 10.1016/j.rse.2019.111626
14. Multi-Temporal LiDAR and Hyperspectral Data Fusion for Classification of Semi-Arid Woody Cover Species C. Norton et al. 10.3390/rs14122896
15. Review of Effective Vegetation Mapping Using the UAV (Unmanned Aerial Vehicle) Method K. Kaneko & S. Nohara 10.4236/jgis.2014.66060
16. Spatial patterns of aboveground phytogenic Si stocks in a grass-dominated catchment – results from UAS-based high-resolution remote sensing M. Wehrhan et al. 10.5194/bg-18-5163-2021
17. Exploiting the Redundancy of Multiple Overlapping Aerial Images for Dense Image Matching Based Digital Surface Model Generation W. Dominik 10.3390/rs9050490
18. The potential of unmanned aerial systems for sea turtle research and conservation: a review and future directions A. Rees et al. 10.3354/esr00877
19. A comparison of drone imagery and ground-based methods for estimating the extent of habitat destruction by lesser snow geese (Anser caerulescens caerulescens) in La Pérouse Bay A. Barnas et al. 10.1371/journal.pone.0217049