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Journal of Remote Sensing & GIS

E-ISSN: 2230-7990 | P-ISSN: 2321-421X | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Remote Sensing & GIS Journal of Remote Sensing & GIS [2230-7990(e)] is a peer-reviewed hybrid open-access journal launched in 2011 focused on practical and theoretical issues, collection, analysis, modeling, interpretation, and display of spatial data, connections between GIS and related technologies and also new GIS applications which help to solve current issues & problems.

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Journal Information

Title: Journal of Remote Sensing & GIS
Abbreviation: jorsg
Issues Per Year: 3 Issues
P-ISSN: 2321-421X
E-ISSN: 2230-7990
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JoRSG
Starting Year: 2010
Subject: Remote Sensing & GIS
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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jorsg maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Shefali Agarwal, Group Director & Scientist/Engineer – G

Indian Institute of Remote Sensing, ISRO, Dept. of Space, Uttarakhand, india,

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Latest Articles

Ahead of Print

Integrated Polarimetric-Interferometric Fusion for Heterogeneous Urban Signature Extraction

Mapping heterogeneous urban environments using conventional Synthetic Aperture Radar (SAR) backscatter intensity frequently produces classification errors due to spectral similarity between sparse built-up features, bare soil, and dry vegetation a challenge especially acute in semi-arid Deccan Plateau settings.

Synthetic Aperture Radar; Polarimetric Decomposition; Freeman-Durden Model; Persistent Scatterers; Amplitude Dispersion Index; Interferometric Coherence; Urban Remote Sensing; Sentinel-1.

Seasonal Dynamics of Coastal Landscapes: A Critical Review Using Remote Sensing and GIS

Coastal landscapes are among the most dynamic environments on Earth, undergoing continuous transformation due to both natural processes and anthropogenic activities.

Coastal Dynamics; Seasonal Variability; Remote Sensing; GIS; Shoreline Change; LULC; Spectral Indices; Southern India.

Integrated Polarimetric-Interferometric Fusion for Heterogeneous Urban Signature Extraction

Mapping heterogeneous urban environments using conventional Synthetic Aperture Radar (SAR) backscatter intensity frequently produces classification errors due to spectral similarity between sparse built-up features, bare soil, and dry vegetation a challenge especially acute in semi-arid Deccan Plateau settings.

Synthetic Aperture Radar; Polarimetric Decomposition; Freeman-Durden Model; Persistent Scatterers; Amplitude Dispersion Index; Interferometric Coherence; Urban Remote Sensing; Sentinel-1.

Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India

Freshwater availability fundamentally shapes the structure and function of dryland ecosystems, where evapotranspiration exceeds precipitation for most of the year.

Barda Wildlife Sanctuary, water scarcity, semiarid ecosystem, remote sensing, Analytical Hierarchy Process (AHP), GIS

GEO AI-POWERED URBAN FOOTPRINTS

In the contemporary era, building footprints are of paramount importance for accurate and current inventories in the development of infrastructure and geospatial analysis.

Building Footprint Extraction, Deep Learning, Georeferencing, GIS, Remote Sensing, YOLOv11 Instance Segmentation and Smart Cities

Utilizing Artificial Intelligence and Remote Sensing to Predict Flooding in Real-Time and Address Climate Resilience Policy in South Asia

South Asia, a region characterized by hydro-climatic instability, faces an intensifying risk from devastating flooding, aggravated by human-induced climate change and intricate river basin interactions.

Artificial Intelligence, Remote Sensing, Flood Prediction, Climate Resilience, South Asia, Hydrological Modelling, Policy Integration