The radiance collected by each spectral filter outside of its expected bandwidth introduce errors on the derived products, this is the Out of Band contribution which needs to be minimized to increase the accuracy of the recovered signal. Three methods are proposed to mitigate this spurious signal for a push broom multi spectral camera, without additional information from external sources.

A new methodology is presented to identify the spectral response of multi-band remote sensing optical camera. The proposed set-up is based in the system theory where the input-output relationship allows to characterize the internal parameters as it is the Absolute Spectral Response (ASR). The new approach allows one to minimize the instrumental set-up as well the time to develop the identification of the ASR.

A new algorithm is proposed to obtain the Sea Surface Temperature (SST) from a satellite instrument. The characteristics of the camera enable observing the same ground pixel through multiple view angles. The method errors as well as a way to smooth the jitter due to the observation errors are presented.

The determination of the Sea Surface Temperature (SST), as well as the Land Surface Temperature (LST), is typically achieved through the algorithm called Split Windows (SW). This method is compatible with detectors whose Noise Equivalent Delta Temperature (NEDT) is on the order of 0.1 °K or less. The method increases the observation error by a factor of 4 or 5 on the SST determination. The NEDT of un-cooled micro-bolometers detectors (used in small and medium satellites) is in the range of 0.5°K to 1.5°K. To achieve a SST error less than 0.7°K it is necessary to search for other algorithms. In [1] an alternative method is presented, but in this work a new algorithm is presented, based on the theory of perturbations and stochastic process, compatible with the new generation of areal micro-bolometer detector, that allows one to meet the accuracy requirement.

The determination of the Sea Surface Temperature (SST) has many applications in areas such as marine biology, environment preservation, oil spill detection, the fishery industry, among others. To achieve these objectives (or at least some of them), the required SST accuracy should be below 0.7° C (at least). The power generation is a limiting factor on small satellites, that precludes the use of cooled detectors which easily can fulfill the required temperature accuracy. Usually in thermal infrared cameras, the SST is determined by variations of a method based on two narrow bands located away from the atmospheric absorption windows. These bands are generally centered at 11 µm and 12 µm, with a bandwidth of 1 µm. This method is named Split Windows (SW) algorithm. In case of having uncooled microbolometers as the detector, which is common for small missions, an expensive on-ground calibration is needed to accomplish the required SST accuracy. The present report shows an improvement to the traditional SW method, in order to substantially reduce the total error and set the SST accuracy inside the required limits.

Sun glint is an important issue in satellite ocean-color remote sensing since the glint signal may dominate other radiance sources, in particular the signal backscattered by the water body. The presence of Sun glint in the camera field-of-view generally prevents the generation of ocean color products. Ocean color misions attempt to minimize the direct reflection of the Sun by selecting the appropriate geometry of the camera line of sight. To deal with glinted areas, the first condition is to avoid detector saturation over those areas. In the SABIA-Mar mission this is achieved by having two integration times, the so-called short and long times. The short time assures no saturation over clouds and glinted areas while the longer time allows adequate signal-to-noise ratio over not contaminated areas. In this paper, we present a computational scheme to calculate the magnitude of the directional glint radiance reaching the detector. The scheme exploits the relative readings among spectral bands, some of them including the Sun glint and some of them not affected by glint because of the view angle. This difference feeds an algorithm to determine glint magnitude and its contribution to the detected signal in each band. The scheme is specialized for push-broom camera geometry and the SABIA-Mar mission is used as example, but it can also be applied to other cases.

MOTIVATION: Current plant and animal genomic studies are often based on newly assembled genomes that have not been properly consolidated. In this scenario, misassembled regions can easily lead to false-positive findings. Despite quality control scores are included within genotyping protocols, they are usually employed to evaluate individual sample quality rather than reference sequence reliability. We propose a statistical model that combines quality control scores across samples in order to detect incongruent patterns at every genomic region. Our model is inherently robust since common artifact signals are expected to be shared between independent samples over misassembled regions of the genome. RESULTS: The reliability of our protocol has been extensively tested through different experiments and organisms with accurate results, improving state-of-the-art methods. Our analysis demonstrates synergistic relations between quality control scores and allelic variability estimators, that improve the detection of misassembled regions, and is able to find strong artifact signals even within the human reference assembly. Furthermore, we demonstrated how our model can be trained to properly rank the confidence of a set of candidate variants obtained from new independent samples. AVAILABILITY AND IMPLEMENTATION: This tool is freely available at http://gitlab.com/carbonell/ces. CONTACT: [email protected] or [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

UNLABELLED: : CellMaps is an HTML5 open-source web tool that allows displaying, editing, exploring and analyzing biological networks as well as integrating metadata into them. Computations and analyses are remotely executed in high-end servers, and all the functionalities are available through RESTful web services. CellMaps can easily be integrated in any web page by using an available JavaScript API. AVAILABILITY AND IMPLEMENTATION: The application is available at: http://cellmaps.babelomics.org/ and the code can be found in: https://github.com/opencb/cell-maps The client is implemented in JavaScript and the server in C and Java. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.