International Journal of Satellite Remote Sensing

International Journal of Satellite Remote Sensing is a peer-reviewed Online journal launched in 2023 that covers all areas of satellite communication and remote sensing. All contributions are reviewed by editors with vast experience in the topic. Journal also publishes proceedings of conferences that can make an impact on the scientific community.

• Satellite Remote Sensing: Earth observation, multispectral and hyperspectral remote sensing, thermal remote sensing, microwave remote sensing, active and passive sensing, image acquisition, and satellite-derived geospatial information.
• Satellite Communication Systems: Fixed satellite services, mobile satellite services, broadcasting satellite services, one-way and two-way satellite communication, high-throughput satellites, satellite transponders, and satellite communication architectures.
• Earth Observation Systems: Optical, radar, thermal, microwave, multispectral and hyperspectral Earth-observation missions; satellite platforms; sensors; data products; and operational monitoring systems.
• Remote Sensing Image Processing: Image enhancement, geometric and radiometric correction, image registration, image fusion, classification, segmentation, feature extraction, change detection, and satellite-image interpretation.
• Geographic Information Systems and Geospatial Analysis: GIS, spatial databases, geospatial modelling, spatial statistics, terrain analysis, cartography, geovisualization, and integration of remote sensing with GIS.
• Synthetic Aperture Radar: SAR, InSAR, PolSAR, Pol-InSAR, interferometric analysis, deformation mapping, surface characterization, terrain monitoring, and radar-image processing.
• Hyperspectral and Multispectral Imaging: Spectral imaging, spectral signatures, dimensionality reduction, classification, mineral mapping, vegetation analysis, spectral unmixing, and hyperspectral data analytics.
• Environmental Monitoring: Air quality, water quality, vegetation, forests, wetlands, biodiversity, land degradation, pollution, coastal environments, and ecosystem monitoring using satellite data.
• Climate and Atmospheric Remote Sensing: Climate variables, aerosols, atmospheric gases, cloud properties, precipitation, temperature, greenhouse gases, weather systems, and satellite-based climate observations.
• Weather and Meteorological Satellites: Weather monitoring, storm tracking, cyclone observation, precipitation estimation, temperature mapping, atmospheric sounding, and satellite meteorology.
• Agricultural Remote Sensing: Crop monitoring, crop classification, yield prediction, drought assessment, soil moisture estimation, irrigation management, precision agriculture, and agricultural stress detection.
• Forestry and Vegetation Monitoring: Forest-cover mapping, deforestation, illegal logging, biomass estimation, vegetation health, canopy analysis, forest fires, biodiversity assessment, and carbon-stock estimation.
• Land Use and Land Cover Analysis: LULC classification, urban expansion, land transformation, land degradation, landscape dynamics, change detection, and spatial-temporal land-cover modelling.
• Disaster Management and Hazard Assessment: Floods, droughts, earthquakes, landslides, cyclones, wildfires, volcanic activity, disaster mapping, damage assessment, early warning, and post-disaster monitoring.
• Ocean and Coastal Remote Sensing: Sea-surface temperature, ocean colour, chlorophyll, coastal erosion, shoreline change, marine pollution, waves, tides, fisheries, and oceanographic observations.
• Cryosphere Remote Sensing: Snow cover, glaciers, ice sheets, sea ice, permafrost, glacier retreat, melt dynamics, and polar-environment monitoring.
• Urban Remote Sensing: Urban growth, urban heat islands, infrastructure mapping, urban vegetation, smart-city applications, built-up area extraction, and urban-environment monitoring.
• Hydrological Remote Sensing: Surface water, groundwater indicators, watershed monitoring, river dynamics, soil moisture, flood mapping, evapotranspiration, and water-resource assessment.
• Satellite Navigation and Positioning: GPS, GNSS, GLONASS, Galileo, BeiDou, satellite navigation, positioning accuracy, geodesy, mapping, surveying, and location-based applications.
• Land Surveying and Geomatics: Satellite surveying, GNSS surveying, digital elevation models, photogrammetry, geodesy, topographic mapping, spatial measurement, and geospatial data acquisition.
• Photogrammetry: Aerial and satellite photogrammetry, stereo imaging, 3D reconstruction, orthophoto generation, digital surface models, and terrain modelling.
• Space Surveillance and Tracking: Space-surveillance networks, radar tracking, optical tracking, space-object identification, orbital debris monitoring, collision assessment, and space situational awareness.
• Satellite Orbits and Mission Design: GEO, MEO, LEO, highly elliptical orbits, polar and sun-synchronous orbits, orbital mechanics, mission planning, orbit determination, station keeping, and constellation design.
• Spacecraft and Satellite Technologies: Satellite platforms, spacecraft subsystems, onboard instruments, attitude and orbit control, payload integration, deployable structures, autonomous spacecraft, and satellite operations.
• Ground Stations and Satellite Infrastructure: Satellite ground stations, Earth stations, antenna systems, telemetry, tracking and command, ground terminals, gateway systems, and satellite-control infrastructure.
• VSAT and Broadband Satellite Networks: VSAT networks, satellite internet, direct-to-home broadcasting, broadband satellite access, enterprise satellite networks, and remote connectivity.
• GEO, MEO and LEO Satellite Networks: Geostationary, medium-Earth-orbit and low-Earth-orbit constellations, inter-satellite links, broadband satellite systems, constellation management, and hybrid orbital architectures.
• Non-Terrestrial Networks: Satellite-terrestrial integration, 5G/6G non-terrestrial networks, direct-to-device satellite communication, UAV-satellite integration, and hybrid space-ground communication.
• Satellite IoT: Satellite-enabled IoT, machine-to-machine communication, remote sensing nodes, low-power satellite connectivity, environmental IoT, agricultural IoT, and remote telemetry.
• Remote Sensing Sensors and Instrumentation: Optical sensors, radar sensors, radiometers, LiDAR, thermal sensors, multispectral instruments, hyperspectral sensors, and satellite payload instrumentation.
• LiDAR and Laser Remote Sensing: Spaceborne LiDAR, elevation mapping, vegetation structure, atmospheric profiling, canopy-height estimation, and terrain analysis.
• Artificial Intelligence in Remote Sensing: Machine learning, deep learning, neural networks, object detection, semantic segmentation, land-cover classification, automated interpretation, and AI-assisted satellite analytics.
• GeoAI and Spatial Intelligence: Explainable GeoAI, geospatial machine learning, spatial prediction, multi-temporal analysis, automated feature extraction, and intelligent geospatial decision systems.
• Big Data and Cloud-Based Remote Sensing: Large-scale satellite datasets, cloud processing, distributed geospatial computation, data cubes, scalable Earth-observation analytics, and real-time remote-sensing platforms.
• Multi-Sensor Data Fusion: Optical-radar fusion, multispectral-hyperspectral fusion, satellite-UAV integration, multi-temporal fusion, multi-source Earth-observation data, and sensor interoperability.
• Remote Sensing for Natural Resources: Mineral exploration, geological mapping, groundwater assessment, forestry, agriculture, fisheries, land resources, and natural-resource monitoring.
• Planetary and Space Remote Sensing: Lunar, Martian, asteroid and planetary surface observation, planetary imaging, spectral mapping, and remote sensing beyond Earth.
• Satellite Data Applications: Agriculture, forestry, climate science, environmental management, urban planning, disaster management, infrastructure, defense, public health, and sustainable development.
• Emerging Satellite Remote Sensing Technologies: Small satellites, CubeSats, nanosatellites, onboard AI, edge processing, autonomous satellites, digital twins, real-time Earth observation, quantum sensing, and next-generation remote-sensing payloads.