Abstract | ||
---|---|---|
Remote sensing data acquired from satellites are a vital information source for precision agriculture to assess current crop conditions. Field measurements of plant parameters, like the leaf area index (LAI), serve as a crucial basis to validate parameter maps derived from satellite images. Traditionally, in-situ LAI measurements are collected manually. Therefore, the assessment is cost-intensive and the temporal availability of measurements is limited. Measurements provided by small sensor devices organized in a wireless sensor network (WSN) are a low-cost alternative to manual field measurements. They allow a precise LAI determination with high temporal resolution at many different locations in a field or even an entire region. These information are highly demanded for the validation of spatial information on crop conditions derived from image data acquired by modern satellites like Sentinel-2. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1145/2942358.2942408 | MobiHoc |
Field | DocType | Citations |
Spatial analysis,Leaf area index,Satellite,Computer science,Remote sensing,Precision agriculture,Eye tracking,Region of interest,Temporal resolution,Wireless sensor network | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jan Bauer | 1 | 9 | 3.41 |
Bastian Siegmann | 2 | 11 | 5.18 |
Thomas Jarmer | 3 | 11 | 4.17 |
Nils Aschenbruck | 4 | 555 | 56.28 |