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Special Issue "Information Extraction from High Spatial Resolution Satellite Images"

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".

Deadline for manuscript submissions: 25 December 2023 | Viewed by 501

Special Issue Editors

Prof. Dr. Venkata Ravibabu Mandla
E-Mail Website
Guest Editor
Center for Information and Communication Technology, National Institute of Rural Development and Panchayati Raj (NIRD&PR), an Autonomous Organisation of Ministry of Rural Development, Government of India, Rajendranagar, Hyderabad 500030, TS, India
Interests: multi- and hyperspectral remote sensing; gas applications towards sustainable rural development
Center for Environment, JNTU, Hyderabad 50008, TS, India
Interests: image classification; hydrological models and forests; agriculture applications
School of Earth Atmosphere and Environment, Monash Data Futures Institute, Monash University, Melbourne, VIC 3800, Australia
Interests: remote sensing of environment and natural resources; LiDAR remote sensing; UAV remote sensing; spatial analysis and modelling; spatial data science
Special Issues, Collections and Topics in MDPI journals
Discovery Partners Institute (DPI), University of Illinois at Chicago, Chicago, IL, USA
Interests: remote sensing image; image analysis; land cover

Special Issue Information

Dear Colleagues,

Information extracted from high-spatial-resolution and hyperspectral satellite images has been applied towards many challenges in agriculture, forestry, and environmental fields. HSRS images have even utilized sustainable rural development modelling to achieve SDG goals. HRSS images such as quick bird, AVIRIS, and UAV images and their integration with geospatial modelling have provided policy and decision-making applications in various governmental schemes.

This Special Issue aims to present studies on recent advances in agriculture, forests, water, infrastructure, rural and urban development, modelling, AI and ML tools on HSRS images, classification techniques, new simulation techniques, and statistical approval of HSRS images using multi- and hyperspectral remote sensing data.

We invite the submission of review and research articles on:

  • Agriculture;
  • Forests;
  • Land use and land cover;
  • Forest and ecology;
  • Biomass;
  • Water;
  • Urban development;
  • Rural development
  • Instructure;
  • Energy;
  • Hydrology.

Prof. Dr. Venkata Ravibabu Mandla
Dr. Nagaveni Chokkavarapu
Dr. Xuan Zhu
Dr. Anuj Tiwari
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • multispectral
  • hyperspectral
  • high spatial resolution
  • high spectral resolution
  • image classification
  • AI and ML

Published Papers

This special issue is now open for submission.
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