๐ข BREAKING:
"AI has โgreat potentialโ for detecting wildfires, a new study of the Amazon Rainforest suggests."
Read more here: https://t.co/E1YM7w1DP1
This article is currently FREE to read. Follow the link below for a press release and links to the PDF!
A type of #AI that mimics the human brain's functioning could improve the detection of wildfires, a new @IJRemoteSensing study finds.
@cintia_eleut et al say the tech could be used to complement existing systems to enhance early warnings๐
https://t.co/CfKVGDutJx
@RSPSoc@UFAM_
๐จ SPECIAL ISSUE now published:
"The role of space ocean science and technology towards sustainable development goal" (volume 45, issue 23) is now available.
Read more: https://t.co/1mSmBGv4vK
Read the Preface here: https://t.co/ITrcBWpgoU
#IJRS#RemoteSensing
๐จ SPECIAL ISSUE now published:
Our "Recent Developments in the Remote Sensing of Night-time Light" special issue (volume 45, issue 21) is now available.
๐ Read more: https://t.co/aqWH381TUv
๐ You can read the Preface here: https://t.co/aLedEeWxdW
#IJRS#RemoteSensing
โHotโ off the press! ๐ก๏ธ๐
Colleagues & I developed a method using #drones & #thermalimaging to measure the temperatures inside #whale blowholes - more practical than using a thermometer!
Spoiler alert: the results are โcoolerโ than youโd expect (~26.9ยฐC/80.4ยฐC) ๐
๐จ SPECIAL ISSUE now published:
Our "Sixth International Symposium on Recent Advances in Quantitative Remote Sensing (RAQRS)" special issue (volume 45, issues 19 - 20) is now available.
Read more: https://t.co/uSgBvhGlgh
#IJRS#RemoteSensing
๐ New REVIEW article:
Pereira da Silva et al. review 29 scientific articles in which #RPAS (remotely-piloted aircraft system)-based monitoring of commercial forests, threatened by various stress factors, was employed.
๐ https://t.co/F7uaokNazz
#IJRS#RemoteSensing#forests
๐ New article:
Hao & Ran propose a #DBSCAN (density-based spatial clustering of application with noise) clustering algorithm-based method for the separation of wood and leaves in #LiDAR#PointClouds of ๐ฒ #trees.
๐ https://t.co/4cuAmfreua
#IJRS#RemoteSensing#forestry
๐ New article:
Mathyam et al. (@ICARCRIDA) quantify fall armyworm (FAW) damage severity & impact on #maize leaf area index (#LAI), biomass & grain yield using high-resolution #multispectral spaceborne remote sensing data.
๐ https://t.co/ge0sDgTb5M
#IJRS#RemoteSensing
๐ New article:
Li et al. present #SGLM, a structural graph learning method for #hyperspectral band selection, which takes full account of structure information in both the spectral and spatial domains.
๐ https://t.co/QqYZJcOEod
#IJRS#RemoteSensing#SelfRepresentation