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RESEARCH PRODUCT
Sentinel-1 & Sentinel-2 Data for Soil Tillage Change Detection
Sergio RuggieriAnna BalenzanoJose MorenoM. PlanellsArmando Marín RuizT. Le ToanE. CeschiaV. Paredes GómezF. MattiaFrancesco P. LovergineD. A. Nafria GarciaG. SatalinoMichele RinaldiA. P. De Santissubject
2. Zero hunger010504 meteorology & atmospheric sciencessoil tillage change identificationbusiness.industry04 agricultural and veterinary sciencesSoil tillage01 natural sciencesNormalized Difference Vegetation IndexTillageAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSentinel-1Temporal changePhysical geographyTime seriesSentinel-2Scale (map)businessChange detection0105 earth and related environmental sciencesdescription
In this paper, an algorithm using Sentinel-1 (S-1) and Sentinel-2 (S-2) data to identify changes of tillage over agricultural fields at approximately similar to 100m resolution is presented. The methodology implements a multiscale temporal change detection on S-1 VH backscatter in order to single out VH changes due to agricultural practices only. The algorithm can be applied over bare or scarcely vegetated agricultural fields, which are identified from S-2 NDVI measurements. An initial assessment at farm scale using in situ and S-1 and SPOT5-Take5 data, acquired over the Apulian Tavoliere in southern Italy in 2015, is illustrated. A full validation of the approach is in progress over three European agricultural areas located in Italy, Spain and France. Results will be further reported in the paper.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-07-01 | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |