A review of machine learning in processing remote sensing data for mineral exploration

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The urban landscape is considered the most complex and heterogeneous landscape among the different land surface features. It rises the land surface temperature (LST) to a large extent compared to t...

An investigation on seasonal variability between LST and NDWI in an urban environment using Landsat satellite data

A long-term seasonal analysis on the relationship between LST and NDBI using Landsat data

Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping.

. Hyperspectral remote sensing is being considered as an advanced technique for mineral identification of surficial deposits. In this research different iron oxides minerals such as limonite, goethite has been identified using AVIRIS-NG airborne hyperspectral remote sensing covering the Omkarpura, Itwa, and Chhabadiya mines area in Jahajpur Bhilwara, Rajasthan, India. AVIRIS-NG has shown robust performance in iron oxide identification in the study area. Mineral spectral signatures of the AVIRIS-NG data were compared with spectra of USGS spectral library, and field investigated mineral spectra of iron oxides and found very promising. The results allow us to conclude that due the high signal to noise ratios of the AVIRIS-NG, it is capable to identify the different iron bearing minerals in the visible and infrared portion of the electromagnetic spectrum.

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Identification of iron oxides minerals in western jahajpur region, india using aviris-ng hyperspectral remote sensing

Identification of hydrothermal altered/weathered and clay minerals through airborne AVIRIS-NG hyperspectral data in Jahajpur, India.

Mapping of regolith is significant to identify and discriminate geomorphic expression, regolith evolution, weathering histories and assistance in clarification of relationships between parent and s...

Regolith mapping and geochemistry of hydrothermally altered, weathered and clay minerals, Western Jahajpur belt, Bhilwara, India

The advancement and progressive development in hyperspectral remote sensing technology enhance the capability to measure the minor variations in spectral feature on the small and big scale of measurement. The remote sensing images provide information of earth’s features according to the capability of regional coverage and larger synoptic view, but hyperspectral image provides detailed, subtle variation in the spectral resolution. In this study, Hyperion and AVIRIS-NG data were used for identification of talc mineral in and around the Jahazpur city, Chabhadiya village, India. The Hyperion hyperspectral data show absorption features of talc minerals but AVIRIS-NG minerals show the multiple absorption features with iron-bearing talc at the same location. In comparison, observed result shows that AVIRIS-NG has much accurate capability for identification of different minerals in the visible region along with the short-wave infrared portion of the electromagnetic spectrum.

Mahesh Kumar Tripathi

Papers

Evaluation of AVIRIS-NG hyperspectral images for mineral identification and mapping.

Identification of iron oxides minerals in western jahajpur region, india using aviris-ng hyperspectral remote sensing

Identification of hydrothermal altered/weathered and clay minerals through airborne AVIRIS-NG hyperspectral data in Jahajpur, India.

Regolith mapping and geochemistry of hydrothermally altered, weathered and clay minerals, Western Jahajpur belt, Bhilwara, India

Comparative Evaluation of AVIRIS-NG and Hyperion Hyperspectral Image for Talc Mineral Identification