Yanjun Su

[Yanjun Su @YanjunSu]

Check out our new paper using interpolation scheme guided by neural network to generated continuous forest canopy height product published in #RSE. https://t.co/DbHZF7X9vm
#lidar #GEDI #ICESat-2 #UAV

[Maggi Kelly @nmaggikelly]

We tested a low-cost lidar-UAV ($600) system for estimating tree height, canopy cover, gap fraction, and leaf area index (LAI) and found it compared well high-end systems, with some systematic biases in areas with medium to high canopy densities. https://t.co/GeMp9FliYT

[Yanjun Su @YanjunSu]

@nmaggikelly Thanks Maggi. Glad to know you find it useful.

[Yanjun Su @YanjunSu]

We just released an executable tool for this algorithm. It can be downloaded from our group website https://t.co/iyNJNJFqzU

[Yanjun Su @YanjunSu]

Multiplatform #lidar data fusion (e.g., #backpack vs. #UAV, multiscan TLS data) has always been a tedious work in forests. Our new paper in IEEE TGRS used tree location as the “facial features" of forests and automatically matched multiplatform lidar data.https://t.co/yRUmCFOTGO

[Yanjun Su @YanjunSu]

Our new paper in ISPRS is out today. Multi-scan TLS registration has been a very tedious work, especially in forests. Here we proposed a method to use shadows behind tree trunks as the features to automatically register multi-scan TLS data. Check it out https://t.co/bfV9XvCqRo

[Yanjun Su @YanjunSu]

Does crown architecture of the same tree species vary spatially? We evaluated this using terrestrial #lidar, and the short answer is yes. More than three-year efforts have been finally published in #JGR: Biogeosciences. Check it out. https://t.co/P5mhZkb4Az

[Yanjun Su @YanjunSu]

https://t.co/dxlBQvPwGh

[Yanjun Su @YanjunSu]

@LP_Bentley @nmaggikelly Thank you. We are going to release a tool next year. And also a pseudo code has also been provided in the paper for reference.

[Yanjun Su @YanjunSu]

Multiplatform #lidar data fusion (e.g., #backpack vs. #UAV, multiscan TLS data) has always been a tedious work in forests. Our new paper in IEEE TGRS used tree location as the “facial features" of forests and automatically matched multiplatform lidar data.https://t.co/yRUmCFOTGO

[Qin Ma @ma_qin]

Our new paper about how trees and mountains shape the snow depth distribution.
Canopy and terrain interactions affecting snowpack spatial patterns in the Sierra Nevada of California https://t.co/C8OBdx83K6

[Yanjun Su @YanjunSu]

Check out our new paper on using lidar to evaluate maize phenotype dynamics under drought stress. #lidar #phenotype #drought

[Plant Methods @PlantMethods]

Evaluating maize phenotype dynamics under drought stress using terrestrial lidar https://t.co/5J2sT3uTRR

[Maggi Kelly @nmaggikelly]

You can get a lot of info from the #lidar profile change from pre- and post-forest disturbance or treatment. Check out our new paper: A simple and integrated approach for fire severity assessment using bi-temporal airborne LiDAR data.
https://t.co/iPgkcV6nuW @ESPM_Berkeley

[Yanjun Su @YanjunSu]

@pang_shuxin 😄😄

[martin isenburg @rapidlasso]

The #LASzip web page link in the article from the @USGSTNM tweet is broken. https://t.co/ddN3ykrbBQ You can get there via https://t.co/zqyrpwymgk @howardbutler #LiDAR #EsriUC #ILMF19

[HackLifed @hacklifed]

Apple is fixing Maps using its own data
#Apple #GoogleMap #Google #AppleMap #OpenStreetMap #GPS #LiDAR #Tech #News #3D #iPhone #iOS
https://t.co/1XSUC9Qf6X

[Maggi Kelly @nmaggikelly]

Hey @UCBerkeley and @ucanr: want to learn about #lidar and lidar data processing? Come to this free and full day workshop on lidar and LiDAR360 software. Sign up to register for this special event at: https://t.co/PgXHaYUTFN @ESPM_Berkeley @BerkeleyGIF #igis

[The New York Times @nytimes]

“We’re saying that if the climate warms a little more, things don’t get a little different, they get very different” https://t.co/1igUAn2Wrf

[Yanjun Su @YanjunSu]

With Climate Change, Tree Die-Offs May Spread in the West https://t.co/xtl3c3CbNA

[Velodyne Lidar @VelodyneLidar]

Ready for a #LiDAR hike? Remember to bring water, snacks & @GreenValleyINTL's LiBackpack, feat. our VLP-16 sensor.