In this document, an approach to identify the tillage change at ~100m resolution by using Sentinel-1 and Sentinel-2 data is described. Binary masks of tillage changes are derived as a complementary product of the Surface Soil Moisture Prototype (SMOSAR) code. The algorithm is based on a multiscale thresholding approach applied to the temporal change of cross-polarized (VH) backscatter in order to single out VH changes due to agricultural practices only. The method is applied to bare or scarcely vegetated fields, which are identified by using the Normalized Difference Vegetation Index (NDVI) extracted from Sentinel-2 data or, in case of cloud cover, the Sentinel-1 VH and VH/VV features.
Proof-of-concept of tillage change product v.2
Francesco Mattia;Giuseppe Satalino;Anna Balenzano;Francesco Lovergine;Annarita D'Addabbo
2018
Abstract
In this document, an approach to identify the tillage change at ~100m resolution by using Sentinel-1 and Sentinel-2 data is described. Binary masks of tillage changes are derived as a complementary product of the Surface Soil Moisture Prototype (SMOSAR) code. The algorithm is based on a multiscale thresholding approach applied to the temporal change of cross-polarized (VH) backscatter in order to single out VH changes due to agricultural practices only. The method is applied to bare or scarcely vegetated fields, which are identified by using the Normalized Difference Vegetation Index (NDVI) extracted from Sentinel-2 data or, in case of cloud cover, the Sentinel-1 VH and VH/VV features.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
