This note is a review of works on retrieval of snow grain size from satellite images. A theoretical background is given and a number of models and algorithms are described. Most of the works are based on Landsat images with 30 m resolution and 7 optical channels, but the hyperspectral airborne AVIRIS sensor with 20 m resolution, and SAR has also been used. An algorithm derived from Landsat imag...

BACKGROUND The recent U.S. Geological Survey policy offering Landsat satellite data at no cost provides researchers new opportunities to explore relationships between environment and health. The purpose of this study was to examine the potential for using Landsat satellite data to support pesticide exposure assessment in California. METHODS AND RESULTS We collected a dense time series of 24 L...

Sammendrag/Abstract: In this report, we describe a method for geometric correction of satellite images generalizing a method developed for NOAA AVHRR images. The method is based on modeling the imaging process, including satellite orbital modeling. We also present an approach for automatic detection of ground control points based on matching of a near-infrared band with watermasks. The methods ...

Our aim was to evaluate a spatiotemporal image-fusion model (STI-FM) for enhancing the temporal resolution (i.e., from 16 to 8 days) of Landsat-8 surface reflectance images by utilizing the moderate-resolution imaging spectroradiometer (MODIS) images, and assess its applicability over a heterogeneous agriculture dominant semiarid region in Jordan. Our proposed model had two major components: (i...

This present work evaluates the use of knowledge-based techniques for the analysis of medium-resolution satellite images of the Amazon, and estimates the impact they may bring to the task of mapping the deforestation in this region by. Landsat images of Rondônia State were submitted to a supervised classification; the editing of these classifications, an usually manual process that depends tota...

® for pattern recognition and pattern summarisation in multi-band (RGB) satellite images. The system design is described in some detail. Results of testing the system to analyse and summarise patterns in SPOT MS images and LANDSAT images are also discussed.

The linear scale invariance of the multivariate alteration detection (MAD) transformation is used to obtain invariant pixels for automatic relative radiometric normalization of time series of multispectral data. Normalization by means of ordinary least squares regression method is compared with normalization using orthogonal regression. The procedure is applied to Landsat TM images over Nevada,...

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geological studies are basic formof operations for the exploration and development of oil and gas fields.preparation of topographical and geological maps and drawingcross section from thesemaps formspart of these operations. existing lineaments in the study area are important, and should be considered in drawing the geological sections. the evaluation of wells stability is one of the important ...

In this paper we propose a context sensitive technique for unsupervised change detection in multitemporal satellite images of same scene using Pulse coupled neural network. PCNN is a novel artificial neural network which is developed in 1990 and based on visual cortex of cats. The binary images generated by each iteration of the PCNN algorithm create specific signatures of the scene which are c...