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  • A C program for detecting slope forms from grid dems
  • The C program is operational under either the DOS or UNIX environment, depending on how it is compiled. This program is designed to detect slope forms in three dimensions that include both the profile and cross-section directions based on elevation
  • Designs for detecting spatial dependence
  • Les AA. se demandent comment sélectionner de manière optimale des valeurs prédictives pour détecter la structure spatiale. Deux modèles de régression linéaire. Données sur la criminalité à Columbus, Ohio.
  • Determining the optimal spatial resolution of remotely sensed data for the detection of sirex noctilio infestations in pine plantations in KwaZulu-Natal, South Africa
  • Sirex noctilio is causing considerable mortality in commercial pine plantations in KwaZulu-Natal. The ability to detect variable infestation levels by remote sensing remains crucial for monitoring the spread of the disease and for effective
  • suppression. The necessary spatial resolution guidelines needed for operational detection are established in this study. - (AJC)
  • Detection of circular geological features using the Hough transform
  • An algorithm for snow and ice detection using AVHRR data. An extension to the Apollo software package in Special issue : Applications of AVHRR data.
  • Alteration detection using TM imagery. The effects of supergene weathering in an arid climate in Special issue : Advances in geological remote sensing.
  • Use of the Schmidt test hammer to detect enhanced boulder weathering under late-lying snowpatches
  • The impact of imports and exports on domestic markets : an approach to detecting the relationships
  • Aerial thermography A remote sensing technique applied to detection of buried archaeological remains at a site in Dalecarlia, Sweden
  • Satellite detected cyanobacteria bloom in the southwestern tropical Pacific
  • Remote detection of crop diseases in Application of remote sensing to agricultural production forecasting.
  • Advances in automated detection of sand dunes on Mars
  • This paper describes advances in an automatic approach for the detection of sand dunes of Mars, based on supervised learning techniques. A set of features (gradient histogram) is extracted from the remotely sensed images and 2 classifiers (Support
  • Vector Machine and Random Forests) are trained from this data. The evaluation is conducted on 230 MOC-NA images (spatial resolution between 1.45 and 6.80 m/pixel) leading to about 89% of correct detections. A detailed analysis of the detection results
  • Imagining safe urban space: the contribution of detective fiction to radical geography
  • There are many conflicting and mutually exclusive strategies for addressing poverty, sexism, racism and violence. They are often underlaid by a pervasive pessimism. The A. proposes that radical geographers consider the role of detective fiction
  • The detection of clusters using a spatial version of the chi-square goodness-of-fit statistic
  • L'A. met au point un test statistique pour détecter des regroupements spatiaux en généralisant l'ajustement par le chi-deux. Discussion sur la relation entre la statistique au sens large et d'autres types de statistique associées, et analyse de sa
  • Multispectral and multitemporal change detection : new approaches
  • This contribution describes a new orthogonal transformation, the Multivariate Alteration Detection (MAD) transformation, based on an established multivariate statistical technique canonical correlation analysis. A case study using multispectral SPOT
  • Geostatistics, spatial rate of change analysis and boundary detection in plant ecology and biogeography
  • rate of change analysis and boundary detection in the context of community and ecosystem boundaries and to provide pointers for future research.
  • Geochronological studies of strandlines of Saurashtra, India, detected by remote sensing techniques
  • A détecté quatre anciennes lignes de rivage parallèles à l'actuelle sur une bande littorale de 16 à 18 km de large. Leur âge varie de 52 à 235 mille ans, ce qui prouve l'instabilité tectonique de la région. - (CB)
  • Using spectral analysis to detect sensor noise and correct turbulence intensity and shear stress estimates from EMCM flow records
  • This paper demonstrates the usefulness of spectral analysis to detect and characterize narrow-band noise components in turbulent flow records. Statistical principles underlying the use of spectral analysis for noise detection are briefly reviewed
  • Ice detection during cloudy conditions over the Arctic region using NOAA AVHRR satellite imagery
  • Hail detection using single-polarization radar