Semantic standards for genomic analyses of the South and Mediterranean plants: the Generation Challenge Program use case

The Generation Challenge Programme (GCP) platform was developed to meet the challenges of data acquisition, computational resources, and software interoperability and integration across a globally distributed consortium of partners. This platform includes: (i) shared, public platform-independent domain models, ontology and data formats (ii) web service and registry technologies (iii) platform-specific middleware implementations of the domain model integrating a suite of public databases and software tools into a workbench to facilitate biodiversity analysis, including the comparative analysis of crop genomic data. The cornerstone of the GCP platform is the development of common standards for GCP data. Major concepts in the domain of crop research - for example, concepts like "germplasm" and "genotype" - can be expressed in terms of a general blue print of such concepts-as-entities and of their relationships to one another, within a so-called domain model. The GCP development team has specified such a domain model to drive development of a "model driven architecture" within which tools and data sources may be efficiently connected to one another. The GCP domain model is not a complete embodiment of semantics in GCP software systems since specifying such a complete model would not be practically feasible. Therefore, in addition to the GCP domain model, the GCP development team has also specified a formal framework to manage a GCP ontology that complements the semantics of the domain model. Several applications and integrating tools have been developed, such as a GCP web query and display application ("Zeus"), a GCP Ontology browser, and the stand-alone molecular breeding components MBDT (Molecular Breeding Design Tool) and MOSEL (Molecular Selection Tool). Our team was particularly involved in the development of GenDiversity, a query and analysis Web application combining genotyping data from diverse data sources, developed in support of diversity studies. Furthermore, GCP components can also be used by non GCP projects. Indeed, we present Orylink, a personalized integrated system for rice functional genomic analysis. The infrastructure of the platform is complex, and it still may discourage developers from using it. Therefore, we need to establish better training and documentation for users of the platform. (Résumé d'auteur

Experimental study of digital image processing techniques for LANDSAT data

The author has identified the following significant results. Results are reported for: (1) subscene registration, (2) full scene rectification and registration, (3) resampling techniques, (4) and ground control point (GCP) extraction. Subscenes (354 pixels x 234 lines) were registered to approximately 1/4 pixel accuracy and evaluated by change detection imagery for three cases: (1) bulk data registration, (2) precision correction of a reference subscene using GCP data, and (3) independently precision processed subscenes. Full scene rectification and registration results were evaluated by using a correlation technique to measure registration errors of 0.3 pixel rms thoughout the full scene. Resampling evaluations of nearest neighbor and TRW cubic convolution processed data included change detection imagery and feature classification. Resampled data were also evaluated for an MSS scene containing specular solar reflections

Report of subpanel on feature extraction

The state of knowledge in feature extraction for Earth resource observation systems is reviewed and research tasks are proposed. Issues in the subpixel feature estimation problem are defined as: (1) the identification of image models which adequately describe the data and the sensor it is using; (2) the construction of local feature models based on those image models; and (3) the problem of trying to understand these effects of preprocessing on the entire process. The development of ground control point (GCP) libraries for automated selection presents two concerns. One is the organization of these GCP libraries for rectification problems, i.e., the problems of automatically selecting by computer the specific GCP's for particular registration tasks. Second is the importance of integrating ground control patterns in a data base management system, allowing interface to a large number of sensor image types with an automatic selection system. The development of data validation criteria for the comparison of different extraction techniques is also discussed

Comparative assessment of LANDSAT-4 MSS and TM data quality for mapping applications in the southeast

The initial objectives of analyses of the MSS data are two-fold: (1) to evaluate the geodetic accuracy of CCT-P data of the test sites; and (2) to improve the geodetic accuracy by additional processing if the original data either do not meet pre-launch specifications or mapping requirements. The location of 45 ground control points (GCP) digitized from 35 U.S. Geological Survey 1:24,000 scale quadrangles (UTM coordinates) were identified in terms of pixel and scan line values. These 46 points are used to establish UTM position error vector distributions in the scene. As an initial check on the geometric reliability of the MSS data, 28 well-distributed GCPs were input to a program which compares the scaled image distances between all possible point pairs with the corresponding map distances and computes the distance differences; that is, the relative positional errors. The relative errors obtained from initial computations averaged about +/- 200 m. These errors could result from a number of sources, including misidentification of GCP locations, UTM coordinate errors introduced by the map digitizing process or errors resulting from data acquisition and geometric processing

South Pole Telescope Software Systems: Control, Monitoring, and Data Acquisition

We present the software system used to control and operate the South Pole Telescope. The South Pole Telescope is a 10-meter millimeter-wavelength telescope designed to measure anisotropies in the cosmic microwave background (CMB) at arcminute angular resolution. In the austral summer of 2011/12, the SPT was equipped with a new polarization-sensitive camera, which consists of 1536 transition-edge sensor bolometers. The bolometers are read out using 36 independent digital frequency multiplexing (\dfmux) readout boards, each with its own embedded processors. These autonomous boards control and read out data from the focal plane with on-board software and firmware. An overall control software system running on a separate control computer controls the \dfmux boards, the cryostat and all other aspects of telescope operation. This control software collects and monitors data in real-time, and stores the data to disk for transfer to the United States for analysis

Analisis Ketelitian Planimetrik Orthofoto Pada Topografi Perbukitan Dan Datar Berdasarkan Kuantitas Titik Kontrol Tanah

The data base used for large scale mapping generally is satellite imagery with high spatial resolution. One of the alternatives for large scale mapping is photogrammetry method, when in recent years of photogrammetry method is growing rapidly with Unmanned Arerial Vehicle (UAV) technology. One of the products to result from this method is orthophoto. Orthophoto is the basic data that can be used for large scale mapping for their representation of the earth's surface. The most important element to consider in making this orthophoto is planimetric accuracy. Based on earlier research, the factor that most influence the planimetric accuracy of orthophoto is Ground Control Point (GCP).This research will be analyzed planimetric accuracy of orthophoto based on the quantity of GCP. The quantity referred to number of GCP and distribution pattern of GCP. Number of GCP used in this research are 5 GCPs and 10 GCPs. Distribution pattern GCP include close GCP and spread GCP which the distance between of close GCP is a half from spread GCP. Then, this research will be held on hill and flat topography. So we get 8 models based on quantity of GCP, distribution of GCP and variation on topography.The result in this research indicated that the factors that most significantly affect the planimetric accuracy of orthophoto is distribution of GCP. The distribution of GCP that spread pattern of GCP which of each GCP is close to boundary of the research area that orthophoto is high accuracy demonstrated with a small of RMSE values

Adaptive guidance and control for future remote sensing systems

A unique approach to onboard processing was developed that is capable of acquiring high quality image data for users in near real time. The approach is divided into two steps: the development of an onboard cloud detection system; and the development of a landmark tracker. The results of these two developments are outlined and the requirements of an operational guidance and control system capable of providing continuous estimation of the sensor boresight position are summarized