Statistical and Machine Learning Models for Remote Sensing Data Mining—Recent Advancements

Monidipa Das; Soumya K. Ghosh; Vemuri M. Chowdary; Pabitra Mitra; Santosh Rijal

doi:10.3390/rs14081906

Remote Sensing (Apr 2022)

Statistical and Machine Learning Models for Remote Sensing Data Mining—Recent Advancements

Monidipa Das,
Soumya K. Ghosh,
Vemuri M. Chowdary,
Pabitra Mitra,
Santosh Rijal

Affiliations

Monidipa Das: Faculty in the Machine Intelligence, Indian Statistical Institute, Kolkata 700108, India
Soumya K. Ghosh: Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
Vemuri M. Chowdary: Mahalanobis National Crop Forecast Centre, New Delhi 110012, India
Pabitra Mitra: Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India
Santosh Rijal: Department of Geography, Virginia Tech, Blacksburg, VA 24061, USA

DOI: https://doi.org/10.3390/rs14081906
Journal volume & issue: Vol. 14, no. 8
p. 1906

Abstract

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During the last few decades, the remarkable progress in the field of satellite remote sensing (RS) technology has enabled us to capture coarse, moderate to high-resolution earth imagery on weekly, daily, and even hourly intervals [...]

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Published in Remote Sensing

ISSN: 2072-4292 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Science
Website: http://www.mdpi.com/journal/remotesensing/

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