What's New

This month we gave you the full financial picture for your forests: NPV, IRR and payback period, right alongside your carbon revenue projections. We also shipped Custom Tasks, so you can build your own workflows instead of working from predefined ones, plus a nice bit of magic where you can now see collaborators' cursors moving live on the map. A few useful fixes rounded out the month too.

Forests have histories. They get planted, cleared, and replanted - and now the platform can hold that full story. This month we've added support for multiple planting and clearance events per polygon, plus a refreshed layers panel with transparency controls, expandable charts, and a handful of other useful improvements.

Most farmers have a paddock or two that doesn't quite pull its weight. Too steep, too scrubby, too slow to recover after a dry spell. CarbonCrop can now tell you what it could be doing - without paying someone to confirm what you already suspected.

April brought a genuinely new platform capability, the next chapter in forest planning, and a batch of usability improvements that add up to a noticeably smoother experience. Company Layers, Paste to Split, staged forest events, ten credit schemes, and more.

This month we shipped a new ETS Pathways tab in Analytics - a dedicated place to see your ETS registration options clearly, with the numbers to back them up. Plus a new Transfer NZUs task, show/hide Done tasks, and a raft of bug fixes.

Pinned comments are now available to all users - you can pin a comment to draw attention to something specific on the map, and all comment types now show up in the comments summary panel. Plus address search on the sites map, editable invoice dates, and a solid round of bug fixes.

The focus this month was better platform usability improvements, so we have lots and lots of small but powerful changes.

This month was all about making sure forests could be registered under the new ETS restrictions.

This month we removed the some of the ambiguity of forest in historical imagery with the release of a new AI model that detects forest in greyscale imagery.

This month was full of visual tools to put the AI land cover data at your fingertips (and your eyes), and practical tools to make planning easier.