But I love my amazing French overdub voice! 😀 my undergrads, who were all forced to watch the movie while working their final projects, give my voice two thumbs up. And the movie too. But seriously, it’s visually gorgeous and compelling.

If any of the studies we critiqued wants to engage with us, we are happy to discuss global analyses anytime. As a scientific community, we need to maximize transparency, accountability, and usability, and that includes our Comment. We were sharply limited by word limits, so nuance was challenging.

Taking on writing a critical and prescriptive paper about global analyses (many of them labors of love) was daunting. We focused on constructive takeaways, while talking about the elephant in the room—that global datasets can mislead science and policy if done or communicated inappropriately.

At some point this holiday season I will post our recommendations here, but for now I would like to thank our reviewers Ed Mitchard and @he-yin.bsky.social for outstanding comments that immeasurably improved this work.

We (co-authors @naomibschwartz.bsky.social and Ruth DeFries) discuss common issues facing the creation and analysis of global RS datasets: what we map (blind spots), where we map (transferability), and how we make inferences (resolution). We highlight specific examples and general recommendations.

“In this age of abundant remote-sensing data, global datasets are increasingly relied upon to analyse the planet at unprecedented scale and resolution. We offer three considerations on uncertainties and potential misapplications of global datasets, to ensure results appropriate for decision making.”

Thanks Forrest! I will take a look at who you are following by looking at your profile, been doing that one person at a time.