Webinars

How to leverage geospatial data to accurately monitor forest carbon projects

Lens for watershed protection

Lens for land trusts 2024

Lessons from six years of AI Hydrology in-practice

Cost-effective remote monitoring for local governments

How a New Zealand hydropower producer deploys HydroForecast

The next generation of AI-enabled water forecasts with HydroForecast ST-3

Streamline your remote monitoring with Lens Lookout

Exploring How New Models & AI Inform Better Water Supply Forecasts in the U.S. West

Exploring Planet's Global-scale Forest Carbon Diligence in Lens

Decoding AI & Hydrology for Water Management Decisions: Live Q&A

Exploring Custom Land Use & Land Cover Maps for Monitoring Change

Lens for land trusts

Diving into the science behind our model, the latest R&D, and feature updates

Remote monitoring for protected area management with Lens

5 examples of how to use Planet Basemaps in Lens

Integrating AI into long-term water investment decisions

Addressing climate change with a hybrid approach to forecasting

Easement monitoring in Lens

Remote sensing 101

Scaling tropical forest monitoring: discover Planet-NICFI satellite data available via Lens

Lens for local government

Improving water supply management for utilities

Trees & transparency: scaling forest carbon MRV

Remote Monitoring Grant Program information session

Improving seasonal water supply forecasts in California and the West

Parcel Owner Alerts demo with Regrid & Upstream Tech

Lens for land trusts 2022

Expanding imagery options for Lens customers

Lens for carbon

Lens demo

Remote sensing for government agencies

Remote monitoring with Lens for land trusts

Using machine learning to spot landscape change with Lens Vegetation Alerts

Could streamflow forecasts have predicted Lake Oroville's extreme conditions?

Lens for vegetation

Artificial intelligence for forest and wildfire monitoring with Salo Sciences

Seeing conservation more clearly

Freshet season in review: how HydroForecast predicts snowmelt using machine learning

Lens office hours: imagery ordering and tasking

Lens office hours: imagery layers

Lens Launchpad refresher course

Snowmelt, storms, and droughts: forecasting streamflow in the Pacific Northwest using machine learning

Lens office hours

Vendor spotlight with Near Space Labs

Remote monitoring 101

Unlocking the value of your data with machine learning

Innovations in wetland monitoring and evaluation

Bridging physical hydrology and neural networks for reliable streamflow forecasts

Satellites 101

The past, present, and future of hydrology forecasts