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Remote Sensing is a peer-reviewed journal published by MDPI, covering Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Remote-Sensing Image Classification. Over its lifetime it has published 42,576 papers, which have received 1,112,297 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Remote Sensing 2023, 12, 45–58.
Formats any DOI in Remote Sensing style. No sign-up. |
| Abbreviation (ISO-4) | Remote Sens. |
| Publishes research in | Remote Sensing in Agriculture Remote Sensing and LiDAR Applications Remote-Sensing Image Classification Land Use and Ecosystem Services Synthetic Aperture Radar (SAR) Applications and Techniques |
| ISSN | 2072-4292 |
| Citation impact (2-yr) | 4.51 |
| h-index | 270 |
| i10-index | 24,187 |
| Article processing charge | $2,707 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Chinese Academy of Sciences |
| Journal website | www.mdpi.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.
Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images. Given two co-registered images taken at different times, the illumination variations and misregistration errors overwhelm the real object changes. Exploring the relationships among different spatial–temporal pixels may improve the performances of CD methods. In our work, we propose a…
Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use and land cover (LULC) information in all Brazilian biomes in the country. Existing countrywide efforts to map land use and land cover lack regularly…
Separating point clouds into ground and non-ground measurements is an essential step to generate digital terrain models (DTMs) from airborne LiDAR (light detection and ranging) data. However, most filtering algorithms need to carefully set up a number of complicated parameters to achieve high accuracy. In this paper, we present a new filtering method which only…
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction of new farming techniques in the past century (e.g., during the Green Revolution) has helped agriculture keep pace with growing demands for food and other agricultural products. However, further increases in food demand, a growing population, and rising income levels are…
Recent research has shown that using spectral–spatial information can considerably improve the performance of hyperspectral image (HSI) classification. HSI data is typically presented in the format of 3D cubes. Thus, 3D spatial filtering naturally offers a simple and effective method for simultaneously extracting the spectral–spatial features within such images. In this paper, a 3D convolutional…
