Write in a clean editor, then format for Science of Remote Sensing in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Science of Remote Sensing is a peer-reviewed journal published by Elsevier, covering Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Land Use and Ecosystem Services.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Science of Remote Sensing 12 (2023) 45–58.
Formats any DOI in Science of Remote Sensing style. No sign-up. |
| Publishes research in | Remote Sensing in Agriculture Remote Sensing and LiDAR Applications Land Use and Ecosystem Services Remote-Sensing Image Classification Soil Moisture and Remote Sensing |
| ISSN | 2666-0172 |
| Citation impact (2-yr) | 3.66 |
| h-index | 34 |
| i10-index | 118 |
| Total citations | 5,704 |
| Article processing charge | $1,750 |
| Open access | Yes |
| Top institutions publishing here | University of Maryland, College Park |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Obtaining accurate and widespread measurements of the vertical structure of the Earth’s forests has been a long-sought goal for the ecological community. Such observations are critical for accurately assessing the existing biomass of forests, and how changes in this biomass caused by human activities or variations in climate may impact atmospheric CO2 concentrations. Additionally, the…
Unmanned aerial vehicles (UAVs) and satellite constellations are both essential Earth Observation (EO) systems for monitoring land surface dynamics. The former is frequently used for its acquisition flexibility and its ability to supply imagery with very high spatial resolution (VHSR); the latter is interesting for supplying time-series data over large areas. However, each of these…
The Landsat global consolidated data archive now exceeds 50 years. In recognition of the need for consistently processed data across the Landsat satellite series, the United States Geological Survey (USGS) initiated collection-based processing of the entire archive that was processed as Collection 1 in 2016. In preparation for the data from the now successfully launched…
Generating crop type maps using satellite remote sensing requires robust data acquisition at both high spatial and temporal resolutions to resolve rapid phenological transition at the field scale. The increasing availability of freely-available, moderate-resolution satellite data such as the Landsat and Sentinel series of satellites offers an unprecedent opportunity for large-area crop type mapping. In…
The Global Ecosystem Dynamics Investigation (GEDI) LiDAR provides new spaceborne vegetation canopy structural information including relative canopy height products defined with respect to 25 m diameter footprints. The GEDI geolocation requirement is that each 25 m footprint center is horizontally georeferenced to within 10 m (1σ), assuming normally distributed geolocation errors with a 0 m…
