气候变化领域集成服务门户(CCPortal): Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data

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DOI	10.1016/j.advwatres.2019.103502
	Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data
	Filippucci P.; Tarpanelli A.; Massari C.; Serafini A.; Strati V.; Alberi M.; Raptis K.G.C.; Mantovani F.; Brocca L.
发表日期	2020
ISSN	0309-1708
卷号	136
英文摘要	The global warming effects put in danger global water availability and make necessary to decrease water wastage, e.g., by monitoring global irrigation. Despite this, global irrigation information is scarce due to the absence of a solid estimation technique. In this study, we applied an innovative approach to retrieve irrigation water from high spatial and temporal resolution Soil Moisture (SM) data obtained from an advanced sensor based on Proximal Gamma-Ray (PGR) spectroscopy, in a field located in Emilia Romagna (Italy). The results show that SM is a key variable to obtain information about the amount of water applied to plants, with Pearson correlation between observed and estimated daily irrigation data ranges from 0.88 to 0.91 by using different calibration methodology. With the aim of reproducing the working conditions of satellites measuring soil moisture, we sub-sampled SM hourly time series at larger time steps. The results demonstrated that the methodology is still capable to perform the daily (weekly) irrigation estimation with Pearson Correlation around 0.6 (0.7) if the time step is not greater than 36 (48) hours. © 2019
关键词	Correlation methods Gamma ray spectrometers Gamma rays Global warming Irrigation Soil moisture Calibration methodologies Estimation techniques Gamma-ray spectroscopy Innovative approaches Pearson correlation Ray method Sm2rain Spatial and temporal resolutions Soil surveys estimation method gamma radiation irrigation soil moisture spatiotemporal analysis Emilia
语种	英语
来源机构	Advances in Water Resources
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/131861
推荐引用方式 GB/T 7714	Filippucci P.,Tarpanelli A.,Massari C.,et al. Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data[J]. Advances in Water Resources,2020,136.
APA	Filippucci P..,Tarpanelli A..,Massari C..,Serafini A..,Strati V..,...&Brocca L..(2020).Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data.,136.
MLA	Filippucci P.,et al."Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data".136(2020).