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

14 citations as recorded by crossref.

1. Unmanned Aircraft System Photogrammetry for Mapping Diverse Vegetation Species in a Heterogeneous Coastal Wetland S. Durgan et al.
2. Woody Plant Encroachment in a Seasonal Tropical Savanna: Lessons about Classifiers and Accuracy from UAV Images L. Costa et al.
3. UAV-hyperspectral imaging of spectrally complex environments B. Banerjee et al.
4. Derivation of fractured rock hybrid analytical equation for estimation of groundwater inflow into mine pit using major fault trigonometry E. Coffie-Anum et al.
5. Classification of riparian forest species and health condition using multi-temporal and hyperspatial imagery from unmanned aerial system A. Michez et al.
6. Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR B. Banerjee & S. Raval
7. UAV-assisted seeding and monitoring of reforestation sites: a review I. Stamatopoulos et al.
8. The advantages of using drones over space-borne imagery in the mapping of mangrove forests M. Ruwaimana et al.
9. Multi-Temporal LiDAR and Hyperspectral Data Fusion for Classification of Semi-Arid Woody Cover Species C. Norton et al.
10. Review of Effective Vegetation Mapping Using the UAV (Unmanned Aerial Vehicle) Method K. Kaneko & S. Nohara
11. Spatial patterns of aboveground phytogenic Si stocks in a grass-dominated catchment – results from UAS-based high-resolution remote sensing M. Wehrhan et al.
12. Exploiting the Redundancy of Multiple Overlapping Aerial Images for Dense Image Matching Based Digital Surface Model Generation W. Dominik
13. The potential of unmanned aerial systems for sea turtle research and conservation: a review and future directions A. Rees et al.
14. 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.