With the recent advantages in computer and sensor technology, airborne remote sensing data have become a useful tool in projects dealing with natural resource inventories and environmental analysis. In this study a correction chain is developed
for digital video data acquired with an uncalibrated four-band video camera system. The study area was alpine foreland between Munich and the german Alps. In order to test the necessity of the environmental corrections overall, a digital land cover
Applied climatology ; Bibliography ; Climatic data ; Climatology ; Communication ; Forecast ; Global change ; Palaeoclimate ; Source of documentation
Fot the climatologists free access to meteorological datasets and information is particularly useful, both for monitoring short-term weather changes and for capturing data for research projects. The A. has tried to give a guide to some
of the diverse sources of information on the Net. Many of the sites listed are jumping-off points with links that can be quickly accessed on a'point and click basis. The main types of information are : current and recent weather data and forecasts; climate
, applied climate and palaeoclimate; research and data sets; global warming; newsgroups, mailing lists and online publications.
Integration of map and remote sensing data Software framework at the Department of Physical Geography, University of Stockholm
The design concepts and structure of the geographical software system at the Department of Physical Geography is described. Much attention has been paid to integrate raster data, e.g. LANDSAT data, and cartographic data, such as thematic maps
, into a common data base system with very low constraints to the spatial resolution, in order to retain the map accuracy.
Climatic change ; Climatic data ; Climatology ; Fitting ; Multidimensional scaling ; Precipitation ; Statistical bias ; Temperature
The majority of documented climatic data set biases can be divided into two categories : physical biases and calendar biases. Previous homogenization efforts for prominent temperature and precipitation data sets are detailed in this review. Numerous
physical biases are accounted for in these homogenization efforts and a debate exists in the literature regarding the effectiveness of these bias adjustment methods, leading some investigators to question the suitability of these adjusted data sets
for the identification of large-scale climate change signals. Calendar biases are not addressed in previous homogenization efforts. After a brief analysis, a calendar bias known to exist in homogenized data sets (the leap year bias) is identified in the CRUTEM3v
, an important global monthly near-surface air temperature data set.
Confronting the data-divide in a time of spatial turns and volunteered geographic information
Cape Town ; Emergency services ; Geographic information ; Geographical information system ; Health ; Hospital ; Internet ; Location ; Participation ; South Africa ; Spatial data ; Western Cape
The article examines the influence of geography and its potential for addressing the data-divide through the example of a facilitated VGI data collection initiative collected public health-related injury data in Cape Town, South Africa
, the techno-social revolution in geospatial technology and data. Future work should continue to examine their potential to address the data-divide.
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.
Problems associated with smoothing and filtering of geophysical time-series data
This study presents guidelines for the construction of simple time-series filters that facilitate the analysis of geophysical data. Emphasis is placed on underlying assumptions, filter design, and interpretative restrictions. Examples of filter
design and associated problems are presented utilizing precipitation data from South America.