# Journal of Remote Sensing: A Platform to Promote International High-Quality Research and Innovation

Yirong Wu, Liangyun Liu, Xiaofeng Li, Jean-Philippe Gastellu-Etchegorry,

Jun Yan

► To cite this version:

Yirong Wu, Liangyun Liu, Xiaofeng Li, Jean-Philippe Gastellu-Etchegorry, Jun Yan. Journal of Remote Sensing: A Platform to Promote International High-Quality Research and Innovation. Journal of Remote Sensing, 2021, 2021, 10.34133/2021/7951318. insu-03668285

HAL Id: insu-03668285

https://insu.hal.science/insu-03668285

Submitted on 16 May 2022

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Distributed under a Creative Commons Attribution 4.0 International License
Editorial

**Journal of Remote Sensing: A Platform to Promote International**
**High-Quality Research and Innovation**

Yirong Wu,<fnref n="1" /> Liangyun Liu ID,<fnref n="1" /> Xiaofeng Li,<fnref n="2" /> Jean-Philippe Gastellu-Etchegorry,<fnref n="3" /> and Jun Yan<fnref n="1" />

Correspondence should be addressed to Liangyun Liu; liuly@aircas.ac.cn

Received 8 January 2021; Accepted 8 January 2021; Published 21 January 2021

Copyright © 2021 Yirong Wu et al. Exclusive Licensee Aerospace Information Research Institute, Chinese Academy of Sciences. Distributed under a Creative Commons Attribution License (CC BY 4.0).

Remote sensing (RS) is a fast-growing emerging interdisci-
plinary field focused on observing our planet and living envi-
ronment. The number of publications in this field increases
dramatically from about 921 documents in 1999 to 8,242
documents in 2019 according to the records in the Science
Citation Index Expanded (SCI-EXPANDED) database.
While there are many journals publishing new developments
in RS, the space is still limited to cover the thousands of excit-
ing articles each year to document the advancement in both
RS science and technology. This journal, supported by the
Science Partner Journal program, with editorial board mem-
bers composed of internationally renowned scientists, is
aimed at providing a new space to publish high-quality,
online-only papers on RS theory, science, techniques, and
applications that are related to the Earth systems. More
importantly, unlike many RS journals where financial profit
is also one of the main goals, this journal is solely focused
on the communication and distribution of knowledge in
RS. Articles are free to publish through June 2023 and will
always be free to read for everyone. Authors are also strongly
encouraged to deposit the data that supports their research in
a trusted repository that supports the FAIR principles. We
will strive hard to best serve the RS community.

This journal is an online-only open access Science Part-
ner Journal, published in affiliation with the Aerospace Infor-
mation Research Institute, Chinese Academy of Sciences
(AIR-CAS), and distributed by the American Association
for the Advancement of Science (AAAS).

This journal focuses on the theory, science, and tech-
nology of remote sensing, as well as interdisciplinary
research with earth science and information science. It
publishes original research articles, review articles, edito-
rials, and perspectives.

Topics of particular interest include, but are not limited
to, the following:

(1) Radiative transfer modelling

(2) Biogeoscience remote sensing

(3) Land cover and land use

(4) Agriculture, forestry, and range

(5) Atmospheric science and meteorology

(6) Ocean and inland water remote sensing

(7) Snow, ice, and glaciers

(8) Remote sensing of energy, water, and biogeochemis-
try cycles

(9) Natural hazards/disasters and environment sciences

(10) Image processing, data fusion, data mining, and
data assimilation

(11) Advanced remote sensing techniques and spectral-radiometric measurements

<footnote n="1">¹Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China</footnote>

<footnote n="2">²Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong 266071, China</footnote>

<footnote n="3">³Paul Sabatier University-Toulouse III, CESBIO, 18 Avenue Edouard Belin, 31055 Toulouse Cdx, France</footnote>
(12) Interdisciplinary research in artificial intelligence and big data

This journal will provide a powerful platform to promote
international high-quality research and innovation within
the remote sensing field of study. The ultimate goal is for
the journal to become a leading publication for the earth
observation community. Your contribution is very valuable
to forge the journal as a top journal in the remote sensing
field. We kindly invite you to support the new journal by sub-
mitting your best papers and actively participating in the
journal review processes. The best articles and the enthusiastic
reviewers will be identified and rewarded annually.

**Conflicts of Interest**

The authors declare that there are no conflicts of interest regarding the publication of this article.

Yirong Wu

Liangyun Liu

Xiaofeng Li

Jean-Philippe Gastellu-Etchegorry

Jun Yan