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This study presents an integrated approach for reading coastal sites. A process aimed at protecting and enhancing these sites must be developed alongside a targeted interdisciplinary strategy, closely...
This study presents an integrated approach for reading coastal sites. A process aimed at protecting and enhancing these sites must be developed alongside a targeted interdisciplinary strategy, closely...
The GaoFen-4 (GF-4) remote sensing satellite is China’s first civilian high-resolution geostationary optical satellite, which has been launched at the end of December 2015. To guarantee the geometric ...
The hybrid classifier is presented in combination of expert system and object oriented approach, for which increased information is added for classification and improve the accuracy. Instead of the or...
Foliar concentration of the main photosynthetic pigments chlorophyll a and b (Cab) is widely regarded as a generic bioindicator of the actual plant status. However, when the scale moves up to stand le...
Recently, it is required to investigate the spatial distribution of vegetation in urban areas on a regional scale for not only the improvement of urban environment but also the conservation of ecosyst...
The aim of the project is the development of an Early Warning system for flood events based on precipitation analysis and related to historical flooded area detection.The recently change of Humanitari...
Magnetotelluric directional analysis and impedance tensor decomposition are basic tools to validate a local/regional composite electrical model of the underlying structure. Bayesian stochastic methods...
This paper reports results of retrieving industrial building complexes from high-resolution images. Content-based image retrieval uses a sample image of specific content to retrieve images in a databa...
Many applications of remote sensing – like, for example, urban monitoring – require high resolution data for a correct determination of object geometry. These spatial high resolution image data contai...
This research explores the association between population, precipitation, and NDVI imagery on the county level for the state of Texas. Both parametric and nonparametric statistical procedures were emp...
A spatial outlier is a spatial referenced object whose non-spatial attribute values are significantly different from those of other spatially referenced objects in its spatial neighborhood. It repres...
For global data representation, like the approximation of a surface, algebraic or trigonometric polynomials may be used. However, polynomial approaches are limited concerning their accuracy. In the la...
The traditional statistical methods and radiation transfer theory methods for cloud detecting have a high adaptability just only in those areas with a uniform surface coverage and noncomplex terrain...
The multispectral and multitemporal data coming from satellites allow us to extract valuable spatiotemporal change. Consequently, Earth surface change detection analysis has been used in the past to ...

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