Write in a clean editor, then format for Remote Sensing Reviews in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Remote Sensing Reviews is a peer-reviewed journal published by Taylor & Francis, covering Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Plant Water Relations and Carbon Dynamics.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Remote Sensing Reviews 12 (3): 45–58.
Formats any DOI in Remote Sensing Reviews style. No sign-up. |
| Publishes research in | Remote Sensing in Agriculture Remote Sensing and LiDAR Applications Plant Water Relations and Carbon Dynamics Human auditory perception and evaluation Diverse Scientific and Economic Studies |
| ISSN | 0275-7257 |
| h-index | 56 |
| i10-index | 163 |
| Total citations | 15,070 |
| Top institutions publishing here | Goddard Space Flight Center |
| Journal website | www.tandfonline.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.
Abstract In the field of remote sensing applications, scientists have developed vegetation indices (VI) for qualitatively and quantitatively evaluating vegetative covers using spectral measurements. The spectral response of vegetated areas presents a complex mixture of vegetation, soil brightness, environmental effects, shadow, soil color and moisture. Moreover, the VI is affected by spatial‐temporal variations of the…
Abstract A unique relationship between the surface soil moisture availability and the radiant temperature does not exist in the presence of variable vegetation cover. To overcome this ambiguity, the authors present a method which couples a Soil‐Vegetation‐Atmosphere‐Transfer (SVAT) model to satellite derived measurements of surface radiant temperature and Normalized Vegetation Difference Index (NDVI) to ascertain…
Abstract The world's forest ecosystems are in a state of permanent flux at a variety of spatial and temporal scales. Monitoring techniques based on multispectral satellite‐acquired data have demonstrated potential as a means to detect, identify, and map changes in forest cover. This paper, which reviews the methods and the results of digital change detection…
Abstract Speckle, appearing in synthetic aperture radar (SAR) images as granular noise, is due to the interference of waves reflected from many elementary scatterers. Speckle in SAR images complicates the image interpretation problem by reducing the effectiveness of image segmentation and classification. To alleviate deleterious effects of speckle, various ways have been devised to suppress…
A conceptual basis for the physics of the interaction of solar radiation with a vegetation canopy is presented, yarious factors which affect the reflectance from such a canopy are delineated. An overview of various canopy reflectance models which attempt to incorporate the physics of interaction through these factors is given. These models can be divided…
Remote Sensing Letters
Road Materials and Pavement Design
Science and Technology of Advanced Materials
Spatial Economic Analysis
Statistics in Biopharmaceutical Research
Statistics: A Journal of Theoretical and Applied Statistics
Stochastic Analysis and Applications
Stochastics: An International Journal of Probability and Stochastic Processes
