# A Review of Irrigation Information Retrievals from Space and Their Utility for Users
## 6 Synthesis and Future Perspectives
Rep._**2014**, \(4\), 1377-1406. [CrossRef] [PubMed]
* [PERSON] et al. (2017) [PERSON]; [PERSON] [PERSON]; [PERSON], [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; et al. Detection of irrigated crops from sentinel-1 and sentinel-2 data to estimate seasonal groundwater use in South India. _Remote Sens._**2017**, \(9\), 1119. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Sentinel-1&2 for near real time cropping pattern monitoring in drought prone areas. application to irrigation water needs in telangana, south-india. _Int. Arch. Photogram. Remote Sens.__Spat. Inf. Sci._**2019**, _42_, 285-292. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON] In-season mapping of irrigated crops using landsat 8 and sentinel-1 time series. _Remote Sens._**2019**, _11_, 118. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Detection of irrigated and rainfed crops in temperate areas using sentinel-1 and sentinel-2 time series. _Remote Sens._**2020**, _12_, 3044. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Mapping three decades of annual irrigation across the US high plains aquifer using landsat and Google Earth Engine. _Remote Sens. Environ._**2019**, _233_, 111400. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Lessons learned from modeling irrigation from field to regional scales. _J. Adv. Modeling Earth Syst._**2019**, _11_, 2428-2448. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] Detecting global irrigated areas by using satellite and reanalysis products. _Sci. Total. Environ._**2019**, _677_, 679-691. [CrossRef] [PubMed]
* [PERSON] and [PERSON] (2015) [PERSON]; [PERSON]; [PERSON] Mapping irrigated farmlands using vegetation and thermal thresholds derived from landsat and ASTER data in an irrigation district of Australia. _Photogram. Eng. Remote Sens._**2015**, _81_, 229-238. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Land use classification: A surface energy balance and vegetation index application to map and monitor irrigated lands. _Remote Sens._**2017**, \(9\), 1256. [CrossRef]
* [PERSON] et al. (2006) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; et al. Monitoring wheat phenology and irrigation in Central Morocco: On the use of relationships between evapotranspiration, crops coefficients, leaf area index and remotely-sensed vegetation indices. _Agric. Water Manag._**2006**, _79_, 1-27. [CrossRef]
* [PERSON] et al. (2006) [PERSON]; [PERSON]; [PERSON] Monitoring crop coefficient of orange orchards using energy balance and the remote sensed NDVI. In _Remote Sensing for Agriculture, Ecosystems, and Hydrology VIII;_[PERSON], [PERSON], [PERSON], [PERSON], [PERSON]; SPIE: Stockholm, Sweden, 2006; Volume 6359, pp. 179-189. [CrossRef]
* [PERSON] et al. (2020) [PERSON], [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON], [PERSON] Evapotranspiration and crop coefficients of Italian zucchini cultivated with recycled paper as mulch. _PLoS ONE_**2020**, _15_, 1-16. [CrossRef]
* [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON] Satellite-based NDVI crop coefficients and evapotranspiration with eddy covariance validation for multiple durum wheat fields in the US Southwest. _Agric. Water Manag._**2020**, _239_, 106266. [CrossRef]
* [PERSON] et al. (2009) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] Scaling of potential evapotranspiration with MODIS data reproduces flux observations and catchment water balance observations across Australia. _J.