Bo Yang
@BoYangGeo
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Assistant Professor & Geographer @ San José State University. #GIS, #RemoteSensing, #ComputerScience, #UrbanPlanning, #UAV, #Drones
San Jose, CA
Joined September 2011
Happy to share our #OpenAccess paper published in #GRL . We use low‐altitude #UAV imaging with remote sensing image processing to detect and quantify Eelgrass #WastingDisease from Alaska to California .
agupubs.onlinelibrary.wiley.com
First study using low-altitude high-resolution Unoccupied Aerial Vehicle (UAV) imagery to detect coastal seagrass disease The low altitude UAV mapping achieved 1.5 cm spatial resolution and the o...
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Our great science team @timlhawthorne @JEmmettDuffy.@DrewHarvell.@lillian_aoki.@brendanh0gan.@o_jgraham.@ginnyeckert_ak.@fionatomasn.@LubaReshitnyk.@HessingLewis.@deannasbeatty @ocean_CRitter, Lia Domke, Kevin Hovel, Jay Stachowicz, .Paper
agupubs.onlinelibrary.wiley.com
First study using low-altitude high-resolution Unoccupied Aerial Vehicle (UAV) imagery to detect coastal seagrass disease The low altitude UAV mapping achieved 1.5 cm spatial resolution and the o...
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RT @MinetaTrans: We are still accepting submissions to our annual poster contest! Educators & parents, let's put your 1st-6th graders' crea….
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Morning low tide #drone #mapping at Moss Landing. So impressed by the wildlife in the #elkhornslough reserve.
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Thrilled to announce our #NSF B2 Award! @sjsu partnering @bodegamarinelab use #drones and #GIS for #seagrass mapping & coastal science. Grateful to amazing scientists I've worked with over the years & to @SJSUResearch for their support! Excited to expand #STEM research network!🎉
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Happy #July4th! #Drone team is finishing the last #mapping site at OR. Walking on the #intertidal with equipment on sleds.
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Recent @MinetaTrans Project using #Thermal Remote Sensing to Quantify Impact of Traffic on #UrbanHeatIslands during COVID, reporting UHI varies during lockdown for SF #BayArea with high traffic #congestion mixed transportation modes and unique #geography
transweb.sjsu.edu
MY-THU TRAN, MA My-Thu Tran is a PhD student in the Geography Joint Doctoral Program offered by San Diego State University and the University of California, Santa Barbara. She has a B.A. in Geography
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New paper using #UAV Structure from Motion algorithm and precise gound measure for #SnowDepth retrieval #Drones #research #GIS #remotesensing #mdpiremotesensing via @RemoteSens_MDPI.
mdpi.com
Unmanned aerial vehicle (UAV)-based snow depth is mapped as the difference between snow-on and snow-off digital surface models (DSMs), which are derived using the structure from motion (SfM) techni...
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Thanks to @sjsucoss & @sjsu_urbp for supporting the #fieldtrip! Don't miss @MLMLmarinesci's #OpenHouse this Sat. Highly recommend the lab tour to explore active research, cutting-edge tech, & hands-on, field-oriented approach in diverse marine and geography disciplines.
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Just tried using Meta #AI to segment multispectral #drone mapping imagery for #Bodega Bay #seagrass patches. Impressed by the interactive selection and prompt view features! #GIS #computervision #UAV #remotesensing
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Happy #sjsu Admitted #Spartan Day! Come to WSQ 113 for learning our great #Geography, #urbanplanning, #RealEstate development, #drones #GIS and more programs @sjsu_urbp @sjsucoss
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Xiangyu Ren is presenting #STCokriging crime prediction for #sanjose at #AAG2023 GISS-SG Student Honors #Paper Competition. Proud of this collaborative #research with #UNM @XG_GIS #SJSU #SAVI @SJSUResearch @sjsu_urbp
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#AAG2023 day 2. #UAS symposium panel with @timlhawthorne, @Citizen_GIS NSF REU/RET team, and our own @sjsu_urbp My-Thu Tran. Great discussion on #drones and #GIS applications.
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At #AAG2023 UAS symposium. #SJSU @sjsu_urbp @sjsucoss graduate student Owen Hussey is presenting the @MinetaTrans project on using multi-source #remotesensing data measure the highway expansion impact on #environment @ProfSerena
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Excited to present UAV/Drone Remote Sensing for California Wildfire Mapping and Modeling at #CalGIS2023 .@FireWeatherLab @wildfirecenter @URISA @sjsu_urbp @Cal_URISA #CalGIS.
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RT @o_jgraham: Drones detect #seagrass disease! 🛰️🌊🌱. Beautiful work combining #AI, disease ecology, and remote sensing. 🙌. This is an exce….
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Amazing science team @JEmmettDuffy @DrewHarvell @lillian_aoki @brendanh0gan @timlhawthorne @o_jgraham @ginnyeckert_ak @fionatomasn @LubaReshitnyk @HessingLewis @deannasbeatty, Lia Domke, Leah Harper, Kevin Hovel, Jay Stachowicz, Ryan Mueller, Carla Gomes,Tyler Copeland et al.
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It is a #NSF collaborative project integrating #biology #ecology #Geography #GIS #RemoteSensing #Drones #ComputerScience . Many thanks to Authors/PIs @SImarineGEO, @CornellEEB , @MarineBiol_FHL, UC Davis, @bodegamarinelab, @HakaiInstitute, U. of Alaska, Oregon State U., UO, SDSU.
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The study is co-led by @timlhawthorne, and #UCF @Citizen_GIS talented student team. Eelgrass samples processed by EeLISA tool developed by @brendanh0gan and @lillian_aoki at @CornellEEB and Computer science, AI-based eelgrass blades scan to valid the remotely sensed data
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UAV's temporal flexibility can better capture low tide or certain time frames and with larger coverage. By incorporating optical UAV mapping and high-resolution (<5cm) image processing, detection and monitoring of marine diseases are now more efficient and quick.
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