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

16 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
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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. 10.1080/02626667.2024.2419603
5. 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
6. Mapping Sensitive Vegetation Communities in Mining Eco-space using UAV-LiDAR B. Banerjee & S. Raval 10.1007/s40789-022-00509-w
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14. Exploiting the Redundancy of Multiple Overlapping Aerial Images for Dense Image Matching Based Digital Surface Model Generation W. Dominik 10.3390/rs9050490
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16. 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