Datasets:
IGNF
/

Modalities:
Image
ArXiv:
License:
AGarioud commited on
Commit
ce90071
1 Parent(s): 51af05e

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -1
README.md CHANGED
@@ -4,7 +4,10 @@ license: cc-by-4.0
4
 
5
  This dataset deals with the mapping of forest species using multi-modal Earth Observation data.<br>
6
  It is an <b>extension of the existing dataset TreeSatAI by Ahlswede et al.</b><br>
7
- While the original dataset only provides access to one Sentinel-1 & -2 image for each patch, this new dataset gathers all the available Sentinel-1 & -2 data spanning the same year for each patch.
 
 
 
8
 
9
  Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial,
10
  Sentinel-1 and Sentinel-2 1. The dataset contains labels of 20 European tree species (i.e., 15 tree genera) derived from forest administration data of the federal state of Lower Saxony, Germany.
 
4
 
5
  This dataset deals with the mapping of forest species using multi-modal Earth Observation data.<br>
6
  It is an <b>extension of the existing dataset TreeSatAI by Ahlswede et al.</b><br>
7
+ While the original dataset only grants access to a single Sentinel-1 & -2 image for each patch, this new dataset compiles all available Sentinel-1 & -2 data spanning a year.
8
+ This integration of temporal information assists in distinguishing between different tree species.
9
+ Notably, we aligned the year of the Sentinel Time Series with that of the aerial patch if it was 2017 or later.
10
+ For preceding years, considering minimal changes in the forest and the need for sufficient temporal context, we specifically chose the year 2017.
11
 
12
  Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial,
13
  Sentinel-1 and Sentinel-2 1. The dataset contains labels of 20 European tree species (i.e., 15 tree genera) derived from forest administration data of the federal state of Lower Saxony, Germany.