Currencies:
RUB/USD 0,0114
0,0000
BRL/USD 0,1843
0,0000
INR/USD 0,1196
0,0000
CNY/USD 0,1369
0,0000
ZAR/USD 0,5569
0,0000
Weather:
Moscow 22 °C
Brazilia 21 °C
New Delhi 34 °C
Beijing 30 °C
Pretoria 21 °C
Cairo 40 °C
Tehran 34 °C
Abu Dhabi 42 °C
Menu
Broadcast «Check List»
22 °C
Moscow
21 °C
Brazilia
21 °C
New Delhi
30 °C
Beijing
21 °C
Pretoria
40 °C
Cairo
34 °C
Tehran
42 °C
Abu Dhabi
RUB/USD
0,0114
0,0000
BRL/USD
0,1843
0,0000
INR/USD
0,1196
0,0000
CNY/USD
0,1369
0,0000
ZAR/USD
0,5569
0,0000
TV BRICS Apps
Home
News
Videos
Podcasts
Menu
12:15 «Special report»
12:15 «Special report»
Now 16+
12:15

«Special report»

12:30 «Check List»
Next
12:30

«Check List»

16+
13:00

«BRICSreport»

16+
13:15

«BRICSterview»

16+
Иконка с часами 14 minutes 2 sec.
Ambassador of Ethiopia to Russia Uriat Cham Ugala/ “Joining BRICS is a growth opportunity for Ethiopia”
Иконка с часами 20 minutes 11 sec.
Douw Vermaak/ «Relations between Russia and South Africa are getting stronger»
Иконка с часами 8 minutes 22 sec.
Anthony Phiri, Harare Institute of Technology/"The world needs to work together to reduce greenhouse gas emissions"
20.06.2411:45 Society
Largest media holding in Ugra joins cooperation with media of BRICS countries through TV BRICS International Media Network
19.06.2412:56 Society
TV BRICS begins co-operation with Vietnam
11.06.2416:45 Society
TV BRICS and Moscow to join forces to promote image of Russian capital as international centre of creative industries
China
22.05.24 10:30
Technology

Chinese experts propose novel approach for precise geological disaster prediction

A new forecasting method is based on satellite images

Using satellite imagery, the study team has put forth a novel method for landslide prediction. This is reported by Xinhua News Agency, a partner of TV BRICS.

An essential component of the early warning system about the risks connected to landslides is the prediction of landslide deformations. Site-based geotechnical monitoring produces positive outcomes. However, regular application of this approach over wide areas is hindered by its high cost and spatial restrictions.

Employees from Peking University and the China University of Geosciences joined the research endeavour. They used machine learning techniques to obtain information about the movement of mountain weather from satellite observations, which serves as basic data for early warning and forecasting.

The practical application of the new method on the Yangtze River has shown that multi-temporal interferometric synthetic aperture radar (MT-InSAR) allows accurate tracking of rock deformation, and machine learning algorithms can accurately establish a nonlinear relationship between rock deformation and its triggers.

The new solution can more accurately, more economically, and more effectively predict geological disasters such as landslides in large areas, the article notes.

Photo: iStock

Short
and to the point
Once a week we will cover news in the BRICS countries
By clicking on the "Subscribe" button, you agree to the processing of personal data

MORE ON THE TOPIC

23.06.2416:45 Technology
China has more than 4,500 companies in field of artificial intelligence
23.06.2414:57 Technology
Russian University develops technology to produce pure cellulose fibres from soybean hulls
21.06.2411:18 Technology
Analysts forecast increase in India's annual electronics production to US$250 billion
20.06.2410:30 Technology
Ethiopia plans to digitally transform 620 government agencies
18.06.2418:04 Technology
Representatives of BRICS, SCO, Africa and Latin America to discuss digital development of society at International IT Forum
18.06.2413:30 Technology
Chinese researchers develop revolutionary mini-injection ultrasound sensor
21.06.2415:35 Tourism
BRICS countries' tourism: revival after the pandemic
16.06.2408:30 Society
15 Years since the First BRICS Summit: History of Cooperation
12.06.2408:31 Society
Russia Day in 2024: history and significance
Short
and to the point
Once a week we will cover news in the BRICS countries
By clicking on the "Subscribe" button, you agree to the processing of personal data