A recent paper published in Food & Nutrition Research contributes to the important research area of how to achieve nutritional goals while reducing the amount of greenhouse gas (GHG) emissions from the food system (1). The paper introduced a novel method of measuring the nutrient density of a food or drink in comparison to GHG emissions associated with the production, manufacturing, packaging, ...

The food chain contributes to a substantial part of greenhouse gas (GHG) emissions and growing evidence points to the urgent need to reduce GHGs emissions worldwide. Among suggestions were proposals to alter food consumption patterns by replacing animal foods with more plant-based foods. However, the nutritional dimensions of changing consumption patterns to lower GHG emissions still remains re...

a r t i c l e i n f o Keywords: Chlorophyll-a Normalized difference chlorophyll index Remote sensing reflectance Spectral algorithm Turbid productive waters MEdium Resolution Imaging Spectrometer We propose a normalized difference chlorophyll index (NDCI) to predict chlorophyll-a (chl-a) concentration from remote sensing data in estuarine and coastal turbid productive (case 2) waters. NDCI cali...

The Nanomaterial Data Curation Initiative (NDCI), a project of the National Cancer Informatics Program Nanotechnology Working Group (NCIP NanoWG), explores the critical aspect of data curation within the development of informatics approaches to understanding nanomaterial behavior. Data repositories and tools for integrating and interrogating complex nanomaterial datasets are gaining widespread ...

During the spring of 2011 an unprecedented “Super” algal bloom formed in the Indian River Lagoon (IRL), with Chlorophyll a (Chl a) concentrations over eight times the historical mean in some areas and lasted for seven months across the IRL. The European Space Agency’s MEdium Resolution Imaging Spectrometer (MERIS) platform provided multispectral data at 665 and 708 nm, which was used to quantif...

Chlorophyll-a (chl-a) is a central water quality parameter that has been estimated through remote sensing bio-optical models. This work evaluated the performance of three well established reflectance based bio-optical algorithms to retrieve chl-a from in situ hyperspectral remote sensing reflectance datasets collected during three field campaigns in the Funil reservoir (Rio de Janeiro, Brazil)....

This study presents a model-free robust input-output decoupling control with Nonlinear-Dynamic-Coupling Inversion/Inverter (NDCI) in U-control framework. Regarding the decoupling, an input/output (I/O) coupling matrix function is proposed to derive two decouplers (U-decoupler/functional inversion and D-decoupler/static inversion). A general existing theorem proved for sliding mode (MFSMC) lay f...

The novel coronavirus disease (COVID-19) halted almost all the industrial scale anthropogenic activities across globe, resulting in improvements water and air quality of megacities. Here, using Sentinel-2A data, we quantified impact COVID-19 lockdown on parameters one largest perennial creeks i.e., Buddha Nala located District Ludhiana India. This creek has long been considered as a dumping gro...

Due to increasing algae bloom occurrence and water degradation on a global scale, there is demand for quality monitoring systems based remote sensing imagery. This paper describes the scientific, theoretical, methodological background creating cloud-computing interface Google Earth Engine (GEE) which allows end-users access related products with high spatial (30 m) temporal (~5 day) resolution....