Airborne hyperspectral remote sensing to assess spatial distribution of water quality characteristics in large rivers: the Mississippi River and its tributaries in Minnesota.

TL;DR: Wang et al. as mentioned in this paper proposed a cascaded RNN model using gated recurrent units (GRUs) to explore the redundant and complementary information of hyperspectral images (HSIs).

TL;DR: Wang et al. as discussed by the authors proposed a sequence-based recurrent neural network (RNN) for hyperspectral image classification, which makes use of a newly proposed activation function, parametric rectified tanh (PRetanh), instead of the popular tanh or rectified linear unit.

TL;DR: In this paper, a review of water quality remote sensing systems and their limitations is presented, and the authors conclude that anomaly detection utilizing multi-sensor data fusion and virtual constellation in cloud computing is the most promising means for predicting impending water pollution outbreaks such as algal blooms.

TL;DR: The NASA Hyperspectral InfraRed Imager (HyspIRI) as mentioned in this paper is comprised of a visible to short-wavelength infrared (VSWIR) imaging spectrometer and a thermal infrared (TIR) multispectral imager, together with an Intelligent Payload Module (IPM) for onboard processing and rapid downlink of selected data.

TL;DR: The results illustrate the high potential of the models to estimate chl-a concentration in turbid productive waters in real time from satellite data, which will be of immense value to scientists, natural resource managers, and decision makers involved in managing the inland and coastal aquatic ecosystems.

TL;DR: In the Tamar estuary (southwest UK), the concentrations of coloured dissolved organic and suspended (total, organic and inorganic) matter were measured and related to in situ hyperspectral remote sensing reflectance (R rs) measurements as discussed by the authors.

TL;DR: Analysis of image data suggests that feeding and stem boring by O. nubilalis larvae may increase the rate of plant senescence causing detectable differences in plant biomass and vigor when compared with control plots, and spectral vegetation indices targeting carotenoid and anthocyanin pigments are not as effective as those targeting chlorophyll.