Top Tweets for #Canopyheight
#LatestResearch
๐ณVibrantVS: A High-Resolution Vision #Transformer for #Forest Canopy Height Estimation
โ๏ธby Tony Chang et al.
๐๏ธRead more: https://t.co/9i7n5IFqea
#canopyheight #computervision #lidar #remotesensing
We have recently received notice from @RemoteSens_MDPI that our 2022 paper was recognized with an Editor's Choice.
If you want to know more about #canopyheight estimation with #RemoteSensing, please look into the paper link in the following tweet!
๐ OPEN ACCESS article:
Chou et al. (@MonashUni) present estimates of #CanopyHeight in southeast Australian #forests pre- and post-2019-2020 bushfire events based on multitemporal, #multisensor data and #CNN modelling.
๐ https://t.co/Gkd5GOvbOE
#IJRS #RemoteSensing #wildfires
๐ Hats off to Meta & World Resources Institute for the 1m resolution Global Canopy Height map! ๐ฐ๏ธ Witness the evolution of canopy mapping and more in our latest post. ๐ณ
๐ Read more: https://t.co/l3Zih72Q1X
#RemoteSensing #CanopyHeight #Geoawesome #AI #Satellites
โผ๏ธ Just published our paper on high-resolution 10m #canopyheight #mapping using NASA's #gedi #Copernicus & #MachineLearning. Link https://t.co/zKvXCcFO9w
Keywords:
โข#gedi , #Sentinel & #dem ๐ฐ๏ธ
โข#MachineLearning ๐
โข #gee #BigData ๐ณ
โข Potential for #gee App
NEW PAPER ๐ข
Characterizing post-fire northern #BorealForest height dynamics ๐ฅ๐ฒ
๐#OpenAccess: https://t.co/Ln2OQhj0zS
โ๏ธ Queinnec, Coops & @Joanne_C_White
๐ @csa_asc @PFC_CFS @txominhermos @mikewulder
#RemoteSensing #Lidar #ICESat2 #CanopyHeight
Variable importance measures from burn probability models revealed spatial patterns of the drivers across forested ecozones; #CanopyCover (CC) had the highest importance rank, whereas others i.e. #LandCover (LC) & #CanopyHeight (P95) had a higher importance rank in other ecozones
Comparative maps of canopy height between 4 #Ecuador's provinces (#Pastaza, #Esmeraldas, #Pichincha, #Guayas). Pastaza is by far the one with the highest #canopyheight.
Source: Potapov, P., et. al., 2021.
#remotesensing #spatialstatistics #lidar #rstats #QGIS #maps #mapping
Day 1โฃ of the #SCERIN-10 workshop in Brno ๐จ๐ฟ
Ioannis Manakos @CERTHellas will explain more about #CanopyHeight estimation from #Sentinel2 using #machinelearning and how to access #EOservices via the #NextLand online store.
๐๏ธ 27/6
โฐ 13:45-14:00 CEST
โก๏ธ https://t.co/6o4MiDoIFo
๐ข Meet the #NextLand team at #SCERIN, the workshop an #earth๐คฉ system observations
Ioannis Manakos @CERTHellas will talk about #CanopyHeight estimation from #Sentinel2 time series images using #machinelearning ๐ฐ๏ธ๐ฑ๐ฒ
๐๏ธ 27 June 2023
โฐ 13:45 CEST
๐ https://t.co/6o4MiDoIFo ๐จโ๐ป
Field-measured canopy height may not be as accurate and heritable as believed: evidence from advanced 3D sensing
Full text: https://t.co/YEI9YHBIbl
#PlantScience #Canopyheight #FieldMeasurement
๐ OPEN ACCESS article:
ElGharbawi et. al. evaluate the performance of two #convolutional #NeuralNetworks, #SegNet and #ResNet, in the estimation of #CanopyHeight in Thailand using #Sentinel2 data and a #DSM.
๐ https://t.co/TQBLGrQNUM
#IJRS #RemoteSensing #ForestStructure
R. Pervin et. al. (@IndianaUniv) introduce a novel, multi-sensor #fusion of #hyperspectral and #LiDAR #canopyheight data for the estimation of fractional cover of tall woody plants and herbaceous vegetation in semi-arid savanna.
๐ https://t.co/bS0tByEEBH
#IJRS #RemoteSensing
Two of my talented MSc students used @GEDI_Knights data to predict #canopyheight at 10 m spatial resolution, fused with #sentinel1 and #sentinel2. Today we went out in the nearby park to check if our predictions were accurate!!
Trends in AIโโโMay 2022 by @SergiCastellaSa | #VideoDiffusionModels #Meta #GPT3clone #AutoregressiveSearchEngines #Adversarialbackdoorattacks #SocraticModels @BigScienceW #NeuralNetworks #ZeroShotGeneralization #GPT3 #LanguageModel #Canopyheight
https://t.co/SlwFR9XaXp
This #research, Tropical #Forest #CanopyHeight Estimation from Combined #Polarimetric #SAR and #LiDAR using #MachineLearning introduces a novel way of #data fusion for forest height mapping.
Global Forest Canopy Height, 2019 by GLAD labs University of Maryland
#forest #canopyheight #LULC #GLAD #GoogleEarthEngine #GEDI #geoinformers #remoteSensing #Geoinformatics
Please visit-
https://t.co/JPM3ukBdDu
#RSinterestingpaper
Retrieval of #Forest Vertical Structure from #PolInSAR Data by #MachineLearning Using #LIDAR-Derived Features
by Guillaume Brigot, Marc Simard, Elise Colin-Koeniguer and Alexandre Boulch
๐https://t.co/BboI7TEFZ6
#AGB
#canopyheight
#remotesensing
The elevation of the Earth's surface can be measured from space. These observations can help us measure the height of the @mangroves
#MangrovePictureEveryday
#MangrovesAreAwesome
#BlueCarbon
#RemoteSensing
#CanopyHeight
#Mangroves366
Location: Inhaca Island, Mozambique
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