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Vegetation cover mapping of area Lundadalen_020, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Lundadalen_019, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Lundadalen_018, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Lundadalen_017, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Lundadalen_016, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Lundadalen_015, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Lundadalen_014, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Lundadalen_013, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Lundadalen_012, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Tundradalen_028, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Tundradalen_027, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation cover mapping of area Tundradalen_026, Breheimen
Percentage values were calculated from Braun-Blanquet classes. r = <1 %, + = <5 %, 1 = 5 %, 2 = 15 %, 3 = 37.5 %, 4 = 62.5 %, 5 = 87.5 % -
Vegetation samples from three physiographic regions in Nepal
This dataset has no description
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The role of the Port of Hamburg for biodiversity: 7452 floristic records for ...
The BMDV network of experts commissioned a comprehensive terrestrial biodiversity assessment of the Hamburg harbor area, enlisting local experts to conduct the surveys. This... -
Tree height and crown diameter during fieldwork expeditions that took place i...
This Individual-labelled trees dataset is a part of the SiDroForest data collection (https://www.pangaea.de/?q=keyword%3A%22SiDroForest%22) and contains spatial data in the form... -
Forest inventories on circular plots on the expedition Chukotka 2018, NE Russia
We undertook a large-scale forest inventory in central Chukotka in summer 2018 on a joint Russian-German expedition by the AWI (Potsdam) and the NEFU (Yakutsk). We covered... -
Stone pine cone production in Portuguese plots from 2004 to 2007
This database concerns stone pine (Pinus pinea L.) cone production per tree obtained from 61 Portuguese permanent plots during three production periods (2004/05, 2005/06 and... -
Point clouds with ground point classification and individual tree segmentatio...
This data set presents LiDAR 3D point clouds with centimetre precision, colored by a RGB camera module. It is a collection of processed point clouds that were collected by a... -
Point clouds with ground point classification and individual tree segmentatio...
This data set presents LiDAR 3D point clouds with centimetre precision. It is a collection of processed point clouds that were collected by a UAV-based laser scanner (YellowScan... -
Point clouds with ground point classification and individual tree segmentatio...
This data set presents LiDAR 3D point clouds with centimetre precision, colored by a RGB camera module. It is a collection of processed point clouds that were collected by a...
