# A Review of Irrigation Information Retrievals from Space and Their Utility for Users
## 6 Synthesis and Future Perspectives
_Remote Sens._**2014**, \(6\), 10002-10032. [CrossRef]
* [PERSON] et al. (2017) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Synergetic use of Sentinel1 and Sentinel2 images for operational soil moisture mapping at high spatial resolution over agricultural areas. _Remote Sens._**2017**, \(9\), 1292. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Combining machine learning and compact polarimetry for estimating soil moisture from C-Band SAR data. _Remote Sens._**2019**, _11_, 2451. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Synergetic use of Sentinel-1 and Sentinel-2 data for soil moisture mapping at 100 m resolution. _Sensors_**2017**, _17_, 1966. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Toward global soil moisture monitoring with sentinel-1: Harness assets and overcoming obstacles. _IEEE Trans. Geosci. Remote Sens._**2018**, _57_, 520-539. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] Soil moisture and irrigation mapping in a semi-arid region based on the synergic use of Sentinel-1 and Sentinel-2 data. _Remote Sens._**2018**, _10_, 1953. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] Irrigation mapping using Sentinel-1 time series at field scale. _Remote Sens._**2018**, _10_, 1495. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Mapping irrigated areas using sentinel-1 time series in Catalonia, Spain. _Remote Sens._**2019**, _11_, 1836. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Near real-time irrigation detection at plot scale using sentinel-1 data. _Remote Sens._**2020**, _12_, 1456. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Double-scale analysis on the detectability of irrigation signals from remote sensing soil moisture over an area with complex topography in central Italy. _Adv. Water Resour._**2021**. under review. * [PERSON] et al. (2018) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products. _Int. J. Appl. Earth Obs. Geoinf._**2018**, _73C_, 752-766. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region. _Remote. Sens. Environ._**2019**, _231_, 111226. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] The potential utility of satellite soil moisture retrievals for detecting irrigation patterns in China. _Water_**2018**, _10_, 1505. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data. _Hydrol. Earth Syst. Sci._**2019**, _23_, 897-923. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON] Satellite-based global-scale irrigation water use and its contemporary trends. _Sci. Total. Environ._**2020**, _714_, 136719. [CrossRef] [PubMed]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Exploiting high-resolution remote sensing soil moisture to estimate irrigation water amounts over a mediterranean region. _Remote Sens._**2020**, _12_, 2593. [CrossRef]
* [PERSON] et al.