Evidence map›Paper›PMID 40501452›Full record

ArticlePNAS nexus2025

Remote sensing intelligent interpretation brain: Real-time intelligent understanding of the Earth.

Yuting Wan, Ce Zhang, Ailong Ma, Zihang Chen, Chen Sun, Junjue Wang, Zhuo Zheng, Fanglin Bao, Liangpei Zhang, Yanfei Zhong

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yuting WanState Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, PR China.ORCID https://orcid.org/0000-0002-4366-809X
Ce ZhangSchool of Geographical Sciences, University of Bristol, Bristol BS8 1SS, United Kingdom.ORCID https://orcid.org/0000-0001-5100-3584
Ailong MaState Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, PR China.
Zihang ChenState Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, PR China.
Chen SunState Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, PR China.
Junjue WangGraduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba 277-8561, Japan.
Zhuo ZhengDepartment of Computer Science, Stanford University, Stanford, CA 94305, USA.ORCID https://orcid.org/0000-0003-1811-6725
Fanglin BaoDepartment of Physics, School of Science and Research Center for Industries of the Future, Westlake University, Hangzhou 310030, PR  China.ORCID https://orcid.org/0000-0002-5837-0122
Liangpei ZhangState Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, PR China.
Yanfei ZhongState Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, PR China.ORCID https://orcid.org/0000-0001-9446-5850

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The large-scale understanding of nature and human activities in real time cannot be separated from Earth observation. Existing monitoring techniques, however, rely primarily on offline processing, with a separation between software and hardware in collection, processing and transmission processes. This limits the ability and timeliness in response to emergency tasks such as disaster relief and nighttime rescue. Our brain can process real-time information across different scales and modalities through perception, cognition, transmission, and decision-making, to take informed actions rapidly. Such an intelligent ability inspires us to establish a novel remote sensing intelligent interpretation brain (RSI2_Brain), by combining multimodal data processing, network transmission and communication on-the-fly, to demonstrate new understanding of the Earth. The RSI2_Brain can operate as online acquisition, real-time processing and transmission with low computational power and communication blocking constraints. It, therefore, has practical utility and wide applicability in extremely harsh conditions, providing all-day and online response automatically.

Indexed as

city understandingEarth observationemergency responsereal timeremote sensing

Identifiers

PMID40501452
PMCPMC12152476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.