
Reviewer Board
Members of the reviewer board are selected from all Remote Sensing reviewers for regularly providing timely high quality reports on submitted manuscripts. Responsibilities of reviewers are available here.
Members
Interests: sedimentology; urban geology; coastal morphology; coastal evolution; landscape evolution
Interests: landslide modelling; machine learning; satellite remote sensing; flood modelling
Interests: agrotechnics; Herbology; soil sciences; soil management; minimum soil tillage; no-tillage; carbon sequestration; rural development; climatic changes
Interests: laser scanning; forest mensuration; forest management planning
Interests: hydrology; hydrologic and water resource; modeling and simulation; watershed hydrology; environmental impact assessment; water resources management; geological mapping; remote sensing; hydrological modeling
Interests: image processing; precision farming; agriculture; engineering; remote sensing; image and signal processing; machine learning; supervised classification; image colour properties; image texture properties; machine vision system
Interests: spatial statistics; geostatistical analysis; geospatial science; vegetation mapping; digital terrain analysis; lidar remote sensing; remote sensing and GIS; DTM; forestry
Interests: remote sensing; GIS; machine learning; hydrology; environmental modeling
Interests: gis; Spatial ecology; remote sensing; biodiversity; geospatial statistics; environmental science; Climate Science; imaging spectroscopy; Soil carbon; species distribution and habitat modeling; LiDAR
Interests: brain dynamics; Brain Connectivity; machine learning; classification; EEG; fMRI; neuropsychological tests; pattern recognition; sleep disorders; ica
2. Faculty of Engineering, Alexandria University, Alexandria, Egypt
Interests: water quality; remote sensing; ocean color satellite; coastal water; lakes; machine learning for water resources and the environment; satellite product algorithm development; harmful algal blooms
Interests: remote sensing; forest fire; machine learning; copernicus; Agriculture
Interests: fractional snow cover; remote sensing; terrestrial photography; cold regions
Interests: remote sensing; glaciology; UAV; Mars
Interests: polarimetric SAR; hyperspectral image analysis; machine learning
Interests: light pollution; calibration of DSLR cameras; spectroscopy
Interests: data mining; wireless sensor network; indoor localization
Interests: remote sensing; coastal waters; inland waters; optical characterization; inverse methods
Interests: natural hazards; deep learning; space-time analyses
Interests: remote sensing oceanography; Ocean Color; phytoplankton ecology; marine optical properties; marine monitoring; time series
Interests: image analysis; environmental remote sensing; statistical modelling; land use/cover changes; geographic information systems; remote sensing of environment
Interests: remote sensing; LiDAR; terrestrial laser scanning; biomass; tropical forests
Interests: machine learning; gis; remote sensing; hydrology; land use classification; textural information; contextual information
Interests: remote sensing; fire; thermal; vis-nir spectroscopy; vis-nir spectroscopy
Interests: ionospheric remote sensing via GNSS radio occultation (GNSS-RO); ground-based GNSS receivers; GEO satellites; GNSS-RO using commercial CubeSats in LEO orbit (e.g. Spire); tsunami early warning systems; Ionospheric seismology
Interests: graphene; tunable devices; GNSS-R; shielding effectiveness
2. Agroengineering Department, Agrarian and Technological Institute, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia
Interests: crop monitoring; yield forecasting; remote sensing; soil mapping; lan evaluation
Interests: numerical hydro-meteorological disaster prediction; controlling social infrastructures
Interests: soil carbon; remote sensing; mediterranenan; land cover; Google Earth Engine; IoT; precision agriculture; geomorphology; GIS; fertilizers; nitrogen; mapping; R
Interests: remote sensing; biomass; precision agriculture; leaf area index; unmanned aerial vehicle; crop surface model; nitrogen nutrition index