This study introduces a new geographic framework, phenological classification, for the conterminous United States based on Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time-series data and a digital elevation model. The resulting pheno-class map is comprised of 40 phenoclasses, each having unique phenological and topographic characteristics...

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High resolution satellite images are now important data sources for map update in urban areas. Digital surface models (DSM) acquired by laser scanning are also becoming popular for urban planning and other applications. This paper deals with the integration of data sets of these types. An Ikonos image of an urban area was oriented, with sub-pixel accuracy, using the DSM as ground control, in or...

The paper presents the results of an accuracy analysis of a number of gridded Digital Surface Models (DSMs) which have been created from first return laser scanning (LiDAR) data. DSMs are created using a variety of methods, and differences between the models and the raw LiDAR data are quantified and the spatial patterns of the errors explored. The results presented in this paper demonstrate the...

the aim of the study is the classification of landform based on elevation, slope, relief and curvature inputs (old method) and topographic position index (tpi) (new method) in the south of bojnoord. the input data for the two methods is a digital elevation model (dem). the results of topographic position index (tpi) model showed that most area of landform were covered by class 5 (plains small) ...

An der TU Dresden wird seit September 2000 ein Anonymisierungsdienst betrieben, der ein weitgehend unbeobachtbares Surfen im Internet erlaubt. Mit bis zu 4000 Nutzern täglich erfreut sich dieser Dienst wachsender Beliebtheit und zählt inzwischen zu den fünf meistgenutzten Anonymisierungsdiensten dieser Art weltweit. Die für die Nutzung des Dienstes benötigte Client-Software JAP ist entstanden i...

the analysis of the relationship between spatial distribution of environmental factors andvegetation types is crucial for understanding mountainous ecosystems. in this research agis based approach was used to produce a vegetation map for sabzkouh protected area inthe chaharmahal-va-bakhtiari province. to identify environmental parameters affecting thevegetation cover, 6 primary and secondary en...

there is an increasing demand for reliable large-scale soil datato meet the requirements of models for planning of land-usesystems, characterization of soil pollution, and prediction ofland degradation. cation exchangecapacity (cec) is among the most important soil propertiesthat are required in soil databases. this paper applied a novel method for whole-soil profile predictions of cec (to 1 m)...

Aerial photographs and satellite imagery have been evaluated manually by the operators for a long time for the extraction of the contour line and DEM data. Computer technology and digital image processing technologies have been developed and this development provides to perform these extraction processes automatically or semi-automatically. The aim of making the processes automatic is to increa...

This paper proposes the use of Gaussian Mixture Models to estimate conditional probability density functions in an environmental risk mapping context. A conditional Gaussian Mixture Model has been compared to the geostatistical method of Sequential Gaussian Simulations and shows good performances in reconstructing local PDF. The data sets used for this comparison are parts of the digital elevat...