Remote Sensing of Environment

REMOTE SENS ENVIRON

11.1 (2023)
0034-4257
No
Elsevier Inc.
Monthly
$4230
1969
406
8.1%
Major category Minor category TOP journal Review journal
Q1

ENGINEERING TECHNOLOGY

ENVIRONMENTAL SCIENCE Yes No

ENVIRONMENTAL SCIENCES

CiteScore SJR SNIP CiteScore ranking
25.1 4.31 3.267
Subject Area Rank Percentile
Earth and Planetary SciencesGeology 1 / 321 99%
238
Science Citation Index Expanded
Submission to acceptance: 187days Acceptance to publication: 13days
Remote Sensing of Environment (RSE) serves the Earth observation community with the publication of results on the theory, science, applications, and technology of studies contributing to advance the science of remote sensing. Thoroughly interdisciplinary, RSE publishes on terrestrial, oceanic and atmospheric sensing. The emphasis of the journal is on biophysical and quantitative approaches to remote sensing at local to global scales and covers a wide range of applications and techniques:

Applications
Land cover mapping, vegetation species identification and mapping
Land surface energy and water balance
Disturbance (fire, insect, harvest)
Agriculture (crop mapping, yield prediction, phenology, soil properties, management practices)
Forest and rangeland productivity and inventories
Ecological applications & Ecosystem services (wetland, biodiversity, habitat, animal population, etc.)
Urban applications (mapping, energy consumption, population, etc.)
Terrestrial ecosystem productivity and carbon cycles
Soil properties (moisture, organic matter, texture, structure, etc.)
Geological Applications (minerals, landslide, subsidence, geomorphology, earth quake, etc.)
Hydrology and water resources
Inland and coastal waters
Oceanography and marine science
Cryosphere, mapping and modelling
Atmospheric science and meteorology
Snow, ice and glaciers


Techniques & Methods
Feature extraction from RS images: segmentation and classification, surface structural, biochemical or physiological traits estimation from RS data
Radiative transfer modelling
Machine and deep learning for RS data analysis
RS Data assimilation
Satellite time series analysis & change detection
Satellite data fusion (spectral, spatial and temporal)
Satellite sensor systems characterization including radiometric and geometric calibration
New remote sensing missions and systems


Original Research Articles should describe important significant new results or methods that will advance the science or application of remote sensing. The main contribution should be the remote sensing component, rather than investigation of an environmental problem in which remote sensing does not play a major role. Papers dealing with single study sites are welcome, although the sites should be representative of broad conditions suitable for drawing conclusions of interest to the international audience of this journal. Studies based on close-range sensing (hand-held, IoT, UAV) are welcome if they show sufficient advances in RS methodology which can be generalized for large-area applications.

Review Articles should provide a thorough review of the current state-of-the-art of an important subject in remote sensing, by providing insights and perspectives on the trends, with a synthesis of previous work beyond literature compilation or bibliometric studies.

Short Communications are intended to publish significant new techniques, data, or results in a timely manner where expansion to a full-length paper may cause delay of their availability to the research or user community (5000 words).
Original Research Articles
Review Articles
Short Communications
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