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  • Aggregation and ecological effects in geographically based data
  • Statistical models are proposed that capture the essential features of the structure of a population composed of geographically defined groups and can encompass grouping processes and contextual effects. They are used to show how small effects
  • in the analysis of individual-level data can be magnified when the analysis based on aggregated data is carried out. The models provide an approach to the problem of adjusting an area-level analysis to correct for aggregation effects. The data come from the 1991
  • Biomass ; Data processing ; Krigeage ; Plant cover ; Remote sensing ; Sampling ; Spatial variation ; Statistics ; Thematic mapping ; Vegetation
  • The powerful sinergy between geostatistics and remote sensing went unrealized until the 1980s. Today geostatistics are used to explore and describe spatial variation in remotely sensed and ground data; to design optimum sampling schemes for image
  • data and ground data; and to increase the accuracy with wich remotely sensed data can be used to classify land cover or estimate continuous variables. This article introduces these applications and uses 2 examples to highlight characteristics
  • Data ; Data analysis ; Data bank ; Data collection ; Data processing ; Geographical information system ; Handbook
  • Recent advances on soil moisture data assimilation
  • Data assimilation is a process of merging observations with a system dynamic model to provide an improved estimate of the states of the environment. After briefing the history of soil moisture data assimilation, the review focuses on the most common
  • data assimilation methods and recent progress made in soil moisture data assimilation through a case study of the soil moisture initialization activities for NASA's seasonal and interannual climate prediction. Further advancement on the current soil
  • moisture data assimilation methods is necessary to be able to assimilate multisource hydrological remote sensing data sources at continental and global scales.
  • Aerosol ; Atmosphere ; Biogeochemistry ; Data processing ; Environment ; Image analysis ; Pollution ; Remote sensing ; Vegetation
  • This article outlines the airborne imaging spectrometers of today and the space-borne imaging spectrometers of tomorrow, the techniques for processing data from imaging spectrometers and the roles that imaging spectrometry is finding in those areas
  • The earth radiation budget experiment : overview of data-processing and error sources
  • The concept for processing and dissemination of ERS-1 SAR data to be acquired by a German station in Antarctica in Remote sensing : Applications in Marine and Coastal Research.
  • Experiences and perspective in compiling long-term remote sensing data sets on landscapes and biospheric processes in Global Change.
  • Agreste project: experience gained in data processing, main results on rice, poplar and beech inventories in Remote sensing application in agriculture and hydrology.
  • An introduction to different methods of graphic processing of geographic information is given. 1. Overview of graphic processing methods| then the A. examines the cases of permutable data tables, semi-permutable data tables and ordered tables
  • An examination of techniques for reformatting digital cartographic data. Part II: the vector-to-raster process
  • Data ; Data processing ; Geographical information system
  • Andalusia ; Climatology ; Data ; Data processing ; Spain ; Temperature ; Time series
  • Discriminant function analysis of compositional data: an example from hydraulic geometry
  • Channel geometry ; Discriminant analysis ; Fluvial processes ; Methodology ; Statistics
  • available data base for predicting the stability of stream reaches.
  • Characteristics of maximum value composite images from temporal AVHRR data
  • From Processing over several days AVHRR data combined to produce continuous cloud free imagery, vegetation-green dynamics is studied. The technique minimizes disturbation effects, but is dependent on the state of atmosphere, surface cover type etc
  • Determination of the mean sea level at Algiers harbour from the tidal data analysis
  • Algeria ; Algiers ; Data processing ; Geodesy ; Instrumentation ; Sea level ; Statistics
  • Erfassung und Nutzung digitaler Standortdaten im Informationssystem Boden. (Registration and utilization of digital data in the information system land)
  • Besides analogue, digital registration of land use data in the frame of the information system land gains an increasing importance. The digital registration of mapping units enable user-suitable processing. (HL).
  • The purpose of this study is to use the geological data to explain sand supply and sand dune reworking processes in the Mu Us Desert. By combining his data with historical data, the A. aims to present a better understanding of dune-forming processes
  • Coastal environment ; Experimentation ; Geographical information system ; Hydrodynamics ; Image processing ; Intertidal zone ; Model ; Research technique
  • , as is the derivation of metric data via image processing and geographical information systems techniques. The comparison between video and probe data indicates that the technique shows promise as a means of deriving two-dimensional profiles of swash lens; however
  • This paper describes initial attempts to design and test the feasibility of a videometric system for measuring swash lens geometry in both field and laboratory environments. Analogue to digital data conversion using multimedia software is discussed
  • Mapping from space. Cartographic applications of satellite image data
  • Berlin ; Cartography ; Data processing ; Germany ; LANDSAT ; Methodology ; Remote sensing ; SPOT ; Satellite imagery ; Thematic Mapper
  • Digital as well as photographic satellite image data offer a high potential of topographic and thematic information. The paper discusses the application of such data for mapping purposes. Main emphasis is laid on a new map type, the Satellite Image
  • of data, and integration of graphical elements. An increase in cartographic applications of satellite remote sensing data is anticipated.