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Events
- LinkOnline Webinar Series
- Link Seminars
- NZ Garden Bird Survey
- Biosecurity Bonanza 2024
- Applications of LiDAR: insights from the Hawke’s Bay Regional Council and MWLR partnership programme
- More Birds in the Bush - End of programme event
- Te Tiriti-guided national DNA reference library wānanga series
- Remote sensing webinar series 2023
- Remote sensing webinar series 2022
- Fieldays 2023
- Fieldays 2022
- Molecular biology
- E Tipu - Boma Agri Summit
- TechWeek 2019
- Conservation Week Livestreams
- Kia Manawaroa Kia Puawai: Enduring Māori Livelihoods webinar
- Kōrero: Resource Management reforms
- STEMFEST 2023
A webinar series exploring new technologies that support future action for our environment.
Manaaki Whenua lead the research and development of remote sensing of the terrestrial environment in New Zealand. Working in this space since the 1970’s, it is no surprise that our research teams are at the forefront of developing and implementing cutting edge technologies and methods to monitor and better understand the environment.
At the beginning of May, we launched a mini-series of five webinars over five days to showcase some of the recent developments in remote sensing technologies and how these are applied to answer questions for policy-makers, councils and landowners.
If you would like to join the mailing list for any future events on our remote sensing research, please email events@landcareresearch.co.nz.
- pdf Introductory concepts of remote sensing and classification presentation pdf File, 2.5 MB
- pdf Introductory concepts of remote sensing and classification Q&A pdf File, 283 KB
- pdf Challenges in a cloudy NZ for analysis ready satellite imagery presentation pdf File, 8.1 MB
- pdf Challenges in a cloudy NZ for analysis ready satellite imagery Q&A pdf File, 285 KB
- pdf Harnessing deep learning in the war against pests presentation pdf File, 5.6 MB
- pdf Harnessing deep learning in the war against pests Q&A pdf File, 278 KB
- pdf AI-powered tree mapping in urban, rural and forest environments presentation pdf File, 6.6 MB
- pdf AI-powered tree mapping in urban, rural and forest environments Q&A pdf File, 290 KB