Copernicus satellites for supporting irrigation and water management in Australia: the COALA H2020 Project

COALA is a project funded by the Horizon 2020 program of the European Union with the aim of developing Copernicus Earth Observation-based information services for irrigation and nutrient management in Australia, building on consolidated experience of past EU projects and existing operational irrigation advisory services. Earth Observation-based services can provide “diagnostic” data and information relevant for integrated input management of irrigation water and nutrients, from subplot level to irrigation scheme or river basin levels. COALA, started on January 2020, is developing Copernicus-based information service for the Australian agricultural systems, based on strong collaboration with Academic Australian institutions and business players. COALA services will provide to farmers, irrigation organisation and basin authorities information about crops development, water and nutrient status, irrigated areas by means of innovative algorithms based on Sentinel Earth Observation data, which will be accessed by means of the new cloud platforms (DIAS) of Copernicus. In-situ and other source of data, such as ground soil moisture probes, meteorological stations and Numerical Weather Prediction models, will be used to improve the information provided to the final users. The advancements beyond the state of art of COALA methodologies for managing irrigation are: COALA will demonstrate that Copernicus data and new DIAS infrastructure can greatly improve the availability of a multi-scale information product shared by the different levels of users. The innovative approach achieves a "converging loop procedure" between water authority, irrigation infrastructure operation and farmers, enabling transparency in all the decision taken at all levels and improving the accuracy of estimation of actual water use

Remote sensing for crop water management: From ET modelling to services for the end users

The experiences gathered during the past 30 years support the operational use of irrigation scheduling based on frequent multi-spectral image data. Currently, the operational use of dense time series of multispectral imagery at high spatial resolution makes monitoring of crop biophysical parameters feasible, capturing crop water use across the growing season, with suitable temporal and spatial resolutions. These achievements, and the availability of accurate forecasting of meteorological data, allow for precise predictions of crop water requirements with unprecedented spatial resolution. This information is greatly appreciated by the end users, i.e., professional farmers or decision-makers, and can be provided in an easy-to-use manner and in near-real-time by using the improvements achieved in web-GIS methodologies (Geographic Information Systems based on web technologies). This paper reviews the most operational and explored methods based on optical remote sensing for the assessment of crop water requirements, identifying strengths and weaknesses and proposing alternatives to advance towards full operational application of this methodology. In addition, we provide a general overview of the tools, which facilitates co-creation and collaboration with stakeholders, paying special attention to these approaches based on web-GIS tools.Optical and Laser Remote Sensin

Opportunities and barriers for adoption of Sentinel-2 based agricultural services and products : policy and stakeholders' views as influencers

This research seeks to understand the potential for up taking new services and products derived from Sentinel-2 data to assist with existing water and nutrient management challenges from the perspective of a diverse range of stakeholders in key target locations in the Murray-Darling Basin (MDB) of Australia. Through semi-structured interviews with farmers, irrigation operators and water authorities, we found that key issues hampering uptake and adoption of Sentinel-based products and services are related to: information deluge; difficulties in translating data into decision-making; privacy issues; trust in satellite imagery; interpreting new information, and satellite data resolution and frequency -which for several services can clash with expressed needs for accessing real-time data

Mapping soil properties with fixed rank kriging of proximally sensed soil data fused with Sentinel-2 biophysical parameter

Soil surveys with line-scanning platforms appear to have great advantages over the traditional methods used to collect soil information for the development of field-scale soil mapping and applications. These carry VNIR (visible and near infrared) spectrometers and have been used in recent years extensively for the assessment of soil fertility at the field scale, and the delineation of site-specific management zones (MZ). A challenging feature of VNIR applications in precision agriculture (PA) is the massiveness of the derived datasets that contain point predictions of soil properties, and the interpolation techniques involved in incorporating these data into site-specific management plans. In this study, fixed-rank kriging (FRK) geostatistical interpolation, which is a flexible, non-stationary spatial interpolation method especially suited to handling huge datasets, was applied to massive VNIR soil scanner data for the production of useful, smooth interpolated maps, appropriate for the delineation of site-specific MZ maps. Moreover, auxiliary Sentinel-2 data-based biophysical parameters NDVI (normalized difference vegetation index) and fAPAR (fraction of photosynthetically active radiation absorbed by the canopy) were included as covariates to improve the filtering performance of the interpolator and the ability to generate uniform patterns of spatial variation from which it is easier to receive a meaningful interpretation in PA applications. Results from the VNIR prediction dataset obtained from a pivot-irrigated field in Albacete, southeastern Spain, during 2019, have shown that FRK variants outperform ordinary kriging in terms of filtering capacity, by doubling the noise removal metrics while keeping the computation cost reasonably low. Such features, along with the capacity to handle a large volume of spatial information, nominate the method as ideal for PA applications with massive proximal and remote sensing datasets

Association of single nucleotide polymorphisms of nicotinic acetylcholine receptor subunits with cervical neoplasia

AIMS: Cholinergic signaling, particularly in response to non-physiological ligands like nicotine, stimulates carcinogenesis of a variety of tissue types including epithelia of the cervix uteri. Cholinergic signaling is mediated by nicotinic acetylcholine receptors (nAChRs), which are pentamers formed by subsets of 16 nAChR subunits. Recent literature suggests that single nucleotide polymorphisms (SNPs) of some of these subunits, notably alpha5, are risk factors for developing lung cancer in smokers as well as in non-smokers. MAIN METHODS: We have studied the prevalence of four SNPs in the alpha5, alpha9, and beta1 subunits, which are expressed in cervical cells, in 456 patients with cervical cancers, precursor lesions, and healthy controls from two cohorts in Mexico. KEY FINDINGS: A SNP in the alpha9 subunit, the G allele of rs10009228 (alpha9, A>G) shows a significant trend in the combined cohort, indicating that this allele constitutes a risk factor for neoplastic progression. The A allele of the SNP rs16969968 (alpha5, G>A), which correlates with the development of lung cancer, shows a non-significant trend to be associated with cervical lesions. Two other SNPs, rs55633891 (alpha9, C>T) and rs17856697 (beta1, A>G), did not exhibit a significant trend. SIGNIFICANCE: Our study points to a potential risk factor of cervical carcinogenesis with importance for DNA diagnosis and as a target for intervention

A holistic framework to assess the sustainability of irrigated agricultural systems

<p>Irrigated agriculture is a key activity for the long-term survival of human-environmental systems and the assessment of agricultural sustainability has been gaining increasing relevance. In spite of several proposals developed, there is not a holistic approach that can be generally applied to assess sustainability of irrigated agricultural areas. In this paper we present a framework and associated indicators for the assessment of sustainability of irrigated agricultural systems in different contexts and locations. The framework covers four main sustainability dimensions: environmental integrity, economic resilience and profitability, social wellbeing and good governance. This approach was tested in 10 agricultural areas in eight different countries that represent a wide variety of situations in terms of agricultural development, environmental conditions, socio-economic settings and political contexts, but that share the fact that water use is a critical aspect for agricultural development. The obtained results illustrate the usefulness of the proposed framework to obtain a holistic picture of sustainability in irrigated agriculture areas, even in situations of poor data availability. It is also an excellent starting point for the construction of roadmaps towards more sustainable agricultural systems.</p