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Journal of Remote Sensing is a peer-reviewed journal published by AAAS (Science), covering Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Remote Sensing and Land Use.
| Publisher | AAAS (Science) |
|---|---|
| Reference style | Superscript numbered (Science) Superscript — small raised numerals in the text 1. A. Smith, B. Jones, C. Lee, A representative article title. Journal of Remote Sensing 12, 45–58 (2023).
Formats any DOI in Journal of Remote Sensing style. No sign-up. |
| Publishes research in | Remote Sensing in Agriculture Remote Sensing and LiDAR Applications Remote Sensing and Land Use Land Use and Ecosystem Services Remote-Sensing Image Classification |
| ISSN | 2097-0064 |
| Citation impact (2-yr) | 8.04 |
| h-index | 36 |
| i10-index | 104 |
| Total citations | 5,291 |
| Open access | Yes |
| Top institutions publishing here | University of Chinese Academy of Sciences |
| Journal website | spj.sciencemag.org |
| 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.
Crop phenology is critical for agricultural management, crop yield estimation, and agroecosystem assessment. Traditionally, crop growth stages are observed from the ground, which is time-consuming and lacks spatial variability. Remote sensing Vegetation Index (VI) time series has been used to map land surface phenology (LSP) and relate to crop growth stages mostly after the growing…
Land-cover mapping is one of the foundations of Earth science. As a result of the combined efforts of many scientists, numerous global land-cover (GLC) products with a resolution of 30 m have so far been generated. However, the increasing number of fine-resolution GLC datasets is imposing additional workloads as it is necessary to confirm the…
Timely and accurate information on tree species (TS) is crucial for developing strategies for sustainable management and conservation of artificial and natural forests. Over the last four decades, advances in remote sensing technologies have made TS classification possible. Since many studies on the topic have been conducted and their comprehensive results and novel findings have…
The Chinese High-resolution Earth Observation System (CHEOS) program has successfully launched 7 civilian satellites since 2010. These satellites are named by Gaofen (meaning high resolution in Chinese, hereafter noted as GF). To combine the advantages of high temporal and comparably high spatial resolution, diverse sensors are deployed to each satellite. GF-1 and GF-6 carry both…
Automatic and robust object detection in remote sensing images is of vital significance in real-world applications such as land resource management and disaster rescue. However, poor performance arises when the state-of-the-art natural image detection algorithms are directly applied to remote sensing images, which largely results from the variations in object scale, aspect ratio, indistinguishable object…
