| INVESTIGATING THE POSSIBILITY OF PREPARING SMALL SCALE SOIL MOISTURE MAP FROM COUPLED SENTINEL-1 AND SENTINEL-2 DATA AND COMPARING IT WITH SMAP/SENTINEL-1 SSM PRODUCT |
| Paper ID : 1292-SMPR |
| Authors: |
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Reza Reza Attarzadeh *1, Jalal Amini2 1University of Tehran 2School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran |
| Abstract: |
| In this paper, we investigate the possibility of preparing small scale soil moisture map and its quality from the synergy of Sentinel-1 and Sentinel-2 data using object-based image analysis (OBIA). To reach this goal, at the first stage, the most related selected features with soil moisture variable extracted from Sentinel-1 and Sentinel-2 data have been used as input layers to multi-resolution segmentation (MRS) algorithm to create image objects. Then the support vector regression (SVR) estimator has been used to calculate soil moisture value of image objects. The produced soil moisture map has been compared with Level-2 SMAP/Sentinel-1 SSM product with a spatial resolution of 3 km × 3 km. Initial evaluations demonstrate that produced soil moisture map have comparable accuracy with L2_SSM product in addition to more flexibility of final product regarding the shape and size of image objects and the scale of final soil moisture map. It is also possible to combine these two products to exploit the advantages of both products. |
| Keywords: |
| Soil Moisture Map, Object-Based Image Analysis, Multi-resolution Segmentation, Sentinel-1, Sentinel-2, SMAP |
| Status : Conditional Accept (Poster) |
