|
|
 |
| |
|
|
|
On the Influence of Temporal Resolution on Automatic Delimitation using Clustering Algorithms |
|
|
|
PP: 339-347 |
|
|
|
Author(s) |
|
|
|
R. B. Arango,
I. Díaz,
A. M. Campos,
E. F. Combarro,
E. R. Canas,
|
|
|
|
Abstract |
|
|
| One of the first steps in the application of precision agriculture techniques to a particular geographical zone is the task of land
delimitation: determining which regions share similar soil properties and can (and should) be treated in a uniform way. In particular,
automatic land delimitation is focused on providing delimitations from different data sources as those from satellite or sensors. In this
work it is proposed to automatically delimit zones using remote sensed reflectivity and clustering algorithms. In addition, it is studied
how temporal resolution affects this delimitation. In order to obtain this zoning, two different clustering paradigms are applied to data
collected from Terras Gauda vineyard, a well known Spanish producer of Albari˜no wine. The results are promising in the sense that the
clusters obtained are consistent with the current land organization and show that the lower temporal resolution, the more compact the
clusters. |
|
|
|
|
|
|
|
