Analysis of coregistered Landsat, Seasat and SIR‐A images of varied terrain types

Rebillard, Philippe; Evans, Diane L.

doi:10.1029/gl010i004p00277

Cited by 18 publications

(3 citation statements)

References 1 publication

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“…Remote sensing systems operating in the microwave spectrum, such as SAR, is known to provide good topographic enhancements useful for geomorphic and structural investigations while Landsat provides good mapping capabilities of cover types including vegetation. Although radar is used chiefly to map structure, it can be applied to lithologic mapping due to variations in outcrop patterns, surficial character of rocks, and the size and frequency of coarse rock detritus (Blom and Daily, 1982;Rebillard and Evans, 1983; e.g. Fig.…”

Section: Lithologic Mappingmentioning

confidence: 99%

Application of remote sensing and GIS in mineral resource mapping-An overview

Rajesh

2004

Journal of Mineralogical and Petrological Sciences

107

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Remote sensing, as a direct adjunct to field, lithologic and structural mapping, and more recently, GIS have played an important role in the study of mineralized areas. A review on the application of remote sensing in mineral resource mapping is attempted here. It involves understanding the application of remote sensing in lithologic, structural and alteration mapping. Remote sensing becomes an important tool for locating mineral deposits, in its own right, when the primary and secondary processes of mineralization result in the formation of spectral anomalies. Reconnaissance lithologic mapping is usually the first step of mineral resource mapping. This is complimented with structural mapping, as mineral deposits usually occur along or adjacent to geologic structures, and alteration mapping, as mineral deposits are commonly associated with hydrothermal alteration of the surrounding rocks. In addition to these, understanding the use of hyperspectral remote sensing is crucial as hyperspectral data can help identify and thematically map regions of exploration interest by using the distinct absorption features of most minerals. Finally coming to the exploration stage, GIS forms the perfect tool in integrating and analyzing various georeferenced geoscience data in selecting the best sites of mineral deposits or rather good candidates for further exploration.

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Section: Lithologic Mappingmentioning

confidence: 99%

Application of remote sensing and GIS in mineral resource mapping-An overview

Rajesh

2004

Journal of Mineralogical and Petrological Sciences

107

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“…Rebillard and Evans 1983;McDonough and Martin-Kaye 1984;Fielding et al 1986;Kaupp et al 1986;Sabins 1987;Gaddis et al 1989;Gaddis 1992;Mouginis-Mark 1995;Rosen et al 1996). The value of radar data in the study of persistently cloud-covered and forested regions was illustrated by Sabins (1983), who used shuttle imaging radar (SIR)-A images of Indonesia (Irian Jaya and Kalimantan) to map geological and tectonic features, primarily for petroleum exploration.…”

Section: Previous Imaging Radar Missions and Sar Studiesmentioning

confidence: 99%

Application of synthetic aperture radar (SAR) imagery to volcano mapping in the humid tropics: a case study in East Java, Indonesia

Carn¹

1999

Bulletin of Volcanology

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“…Furthermore, spectral reflectances of land cover types identified on the satellite image may be used to detect soil salinity [12]. More applications of spaceborne data include geomorphological studies and terrain analyses [13][14][15]. Finally, remote sensing data are widely used in climate studies, including the mapping of evapotranspiration and droughts [16], and the characterization of soil layers [17].…”

Section: Introduction 1backgroundmentioning

confidence: 99%

A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria

Lemenkova

2023

ASI

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Automated classification of satellite images is a challenging task that enables the use of remote sensing data for environmental modeling of Earth’s landscapes. In this document, we implement a GRASS GIS-based framework for discriminating land cover types to identify changes in the endorheic basins of the ephemeral salt lakes Chott Melrhir and Chott Merouane, Algeria; we employ embedded algorithms for image processing. This study presents a dataset of the nine Landsat 8–9 OLI/TIRS satellite images obtained from the USGS for a 9-year period, from 2014 to 2022. The images were analyzed to detect changes in water levels in ephemeral lakes that experience temporal fluctuations; these lakes are dry most of the time and are fed with water during rainy periods. The unsupervised classification of images was performed using GRASS GIS algorithms through several modules: `i.cluster’ was used to generate image classes; `i.maxlik’ was used for classification using the maximal likelihood discriminant analysis, and auxiliary modules, such as `i.group’, `r.support’, `r.import’, etc., were used. This document includes technical descriptions of the scripts used for image processing with detailed comments on the functionalities of the GRASS GIS modules. The results include the identified variations in the ephemeral salt lakes within the Algerian part of the Sahara over a 9-year period (2014–2022), using a time series of Landsat OLI/TIRS multispectral images that were classified using GRASS GIS. The main strengths of the GRASS GIS framework are the high speed, accuracy, and effectiveness of the programming codes for image processing in environmental monitoring. The presented GitHub repository, which contains scripts used for the satellite image analysis, serves as a reference for the interpretation of remote sensing data for the environmental monitoring of arid and semi-arid areas of Africa.

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Analysis of coregistered Landsat, Seasat and SIR‐A images of varied terrain types

Cited by 18 publications

References 1 publication

Application of remote sensing and GIS in mineral resource mapping-An overview

Application of remote sensing and GIS in mineral resource mapping-An overview

Application of synthetic aperture radar (SAR) imagery to volcano mapping in the humid tropics: a case study in East Java, Indonesia

A GRASS GIS Scripting Framework for Monitoring Changes in the Ephemeral Salt Lakes of Chotts Melrhir and Merouane, Algeria

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