An automated tool for pre-operational mapping of floods and inland waters using Sentinel- 1 data is presented. The acronym AUTOWADE (AUTOmaticWater Areas DEtector) is used to denote it. The tool provides the end user (Italian Department of Civil Protection) with a continuous, near real-time (NRT) monitoring of the extent of inland water...
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2021 (v1)PublicationUploaded on: April 14, 2023
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2017 (v1)Publication
The capability of COSMO-SkyMed (CSK) radar to remotely sense standing water beneath vegetation using an auto- matic algorithm working on a single image is investigated. The ob- jective is to contribute to tackle the problem of missed detection of inundated vegetation by near real-time flood mapping algorithms using SAR data. The focus is on CSK...
Uploaded on: April 14, 2023 -
2016 (v1)Publication
In this paper, we investigate the role of polarimetric features to improve flood mapping in agricultural areas. Considering that the double bounce enhancement due to standing water can increase the backscatter from flooded agricultural fields, polarimetry can potentially detect this mechanism and mitigate the misdetection of algorithms based on...
Uploaded on: March 27, 2023 -
2018 (v1)Publication
using Sentinel-1 SAR data. MULESME implements a multi-temporal algorithm that uses time series of Sentinel-1 data and ancillary data, such as a plant water content map, as inputs. A secondary software module generates the plant water content map from optical data provided by Landsat-8, or Sentinel-2, or MODIS. Each output of MULESME includes...
Uploaded on: March 27, 2023 -
2017 (v1)Publication
The assimilation of satellite-derived soil moisture estimates (soil moisture–data assimilation, SM–DA) into hydrological models has the potential to reduce the uncertainty of streamflow simulations. The improved capacity to moni- tor the closeness to saturation of small catchments, such as those characterizing the Mediterranean region, can be...
Uploaded on: March 27, 2023 -
2016 (v1)Publication
The use of synthetic aperture radar (SAR) data is presently well established in operational services for flood man- agement. However, some events might be missed because of the limited area that can be observed through a SAR image and the need of programming SAR acquisitions in advance. To tackle these problems, it is possible to setup a system...
Uploaded on: April 14, 2023