JournalTOCs

International Journal of Remote Sensing
Journal Prestige (SJR): 0.796

Citation Impact (citeScore): 2
Number of Followers: 278

Hybrid journal * Containing 1 Open Access article(s) in this issue *
ISSN (Print) 0143-1161 - ISSN (Online) 1366-5901
Published by Taylor and Francis

[2628 journals]

Temporal unmixing-based cloud removal algorithm for optically complex
water images
- Volume 42, Issue 12, June 2021, Page 4415-4440
  .
  International Journal of Remote Sensing2021-03-11T06:23:05Z
  DOI: 10.1080/01431161.2021.1892853
  Issue No: Vol. 42, No. 12 (2021)
Laboratory shortwave infrared reflectance spectroscopy for estimating
grain protein content in rice and wheat
- Volume 42, Issue 12, June 2021, Page 4467-4492
  .
  International Journal of Remote Sensing2021-03-11T06:10:08Z
  DOI: 10.1080/01431161.2021.1895450
  Issue No: Vol. 42, No. 12 (2021)
Deriving corn and soybeans fractions with Land Remote-Sensing Satellite
(System, Landsat) imagery by accounting for endmember variability on
Google Earth Engine
- Volume 42, Issue 12, June 2021, Page 4493-4513
  .
  International Journal of Remote Sensing2021-03-11T06:05:33Z
  DOI: 10.1080/01431161.2021.1897184
  Issue No: Vol. 42, No. 12 (2021)
A spectral index for the detection of algal blooms using Sentinel-2
- Volume 42, Issue 12, June 2021, Page 4514-4535
  .
  International Journal of Remote Sensing2021-03-12T11:51:09Z
  DOI: 10.1080/01431161.2021.1897186
  Issue No: Vol. 42, No. 12 (2021)
Aboveground biomass patterns across treeless northern landscapes
Open Access Article
- Volume 42, Issue 12, June 2021, Page 4536-4561
  .
  International Journal of Remote Sensing2021-03-12T12:29:17Z
  DOI: 10.1080/01431161.2021.1897187
  Issue No: Vol. 42, No. 12 (2021)
Motion bias analysis of sea surface height measurement by near-nadir
interferometric Synthetic Aperture Radar (SAR) and its compensation method
research
- .
  International Journal of Remote Sensing2021-03-12T11:46:59Z
  DOI: 10.1080/01431161.2021.1892855
Identification and quantification of potassium (K+) deficiency in maize
plants using an unmanned aerial vehicle and visible / near-infrared
semi-professional digital camera
- .
  International Journal of Remote Sensing2021-02-01T06:52:19Z
  DOI: 10.1080/01431161.2020.1871091