Gergana N Daskalova
Biographic Data
| ID | 7993181 |
|---|---|
| NAME | Gergana N Daskalova |
| GIVEN NAMES | Gergana N |
| FAMILY NAME | Daskalova |
| SIGNATURE | DASKALOVA G N |
| AFFILIATIONS | University of Edinburgh |
| ORCID | 0000-0002-5674-5322 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites
Data across scales are required to monitor ecosystem responses to rapid warming in the Arctic and to interpret tundra greening trends.Here, we tested the correspondence among satellite-and drone-derived seasonal change in tundra greenness to identify optimal spatial scales for vegetation monitoring on Qikiqtaruk-Herschel Island in the Yukon Territory, Canada.We combined time-series of the Normalised Difference Vegetation Index (NDVI) from multisp…
Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape
Arctic landscapes are changing rapidly in response to warming, but future predictions are hindered by difficulties in scaling ecological relationships from plots to biomes. Unmanned aerial systems (hereafter ‘drones’) are increasingly used to observe Arctic ecosystems over broader extents than can be measured using ground-based approaches and are facilitating the interpretation of coarse-grained remotely sensed data. However, more information is …
No prominent works on this page.
Drone data reveal heterogeneity in tundra greenness and phenology not captured by satellites
Data across scales are required to monitor ecosystem responses to rapid warming in the Arctic and to interpret tundra greening trends.Here, we tested the correspondence among satellite-and drone-derived seasonal change in tundra greenness to identify optimal spatial scales for vegetation monitoring on Qikiqtaruk-Herschel Island in the Yukon Territory, Canada.We combined time-series of the Normalised Difference Vegetation Index (NDVI) from multisp…
Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape
Arctic landscapes are changing rapidly in response to warming, but future predictions are hindered by difficulties in scaling ecological relationships from plots to biomes. Unmanned aerial systems (hereafter ‘drones’) are increasingly used to observe Arctic ecosystems over broader extents than can be measured using ground-based approaches and are facilitating the interpretation of coarse-grained remotely sensed data. However, more information is …
Biology (2 works) · Climate change and permafrost (2 works) · Cryospheric studies and observations (2 works) · Drone (2 works) · Ecology (2 works) · Environmental Science (2 works) · Geography (2 works) · Geology (2 works) · Tundra (2 works) · Arctic (1 works)