 Having good data is just critical for lots of reasons. One is it allows us to try to project what's going to happen in the future if we're talking about using funding for carbon offsets or carbon payments for conserving forests. Of course we need to know what a country's baseline rate of forest destruction or degradation was and then how much that's declined in the future so we can actually measure that. Those kinds of things depend critically on having good measurements and you know there are a lot of technical details and getting it right is really important. We know with tropical forests right now for example that you know they grow year-round and if we can stop the destructive or degrading processes there's a lot of capacity for these forests to absorb a lot of carbon and basically to help us move towards a more stable global warming scenario but the bottom line is we're not going to get anybody to put carbon money or other kinds of payments into forest conservation. If we don't have data which shows here are going to be the impacts and here are going to be the benefits of doing it otherwise you're going to put it into more safer options that they can more readily account for. Having these new satellite technologies is fantastic. They're high resolution they're very sophisticated some of these things they're you know multi-spectral they allow you to do and measure and record all kinds of things. Even though we're still developing these amazing technologies we still oftentimes use the human eye and what a lot of people are doing right now is actually coupling these nice technologies with people in crowdsourcing because the human eye can discriminate and picks things out that even the most sophisticated computer algorithm still sometimes struggles with. You know we're moving in the right direction and it's really exciting to see things like for instance the European Space Agency's initiatives and the key thing is they're making all of it free and absolutely public available to anybody I mean that is the real power of this stuff is is to put that kind of investment out there and up there and then just to give it out to everybody that's really what we need. Getting better data on its own is not going to do anything I mean that's really the second part of our responsibility as scientists we need to put things in a kind of language that essentially anybody can understand. If we laden everything we say with a lot of technical jargon if we cloud everything in huge layers of uncertainty if we equivocate Kate about every single thing we say we're not really doing our job we need to be able to make clear statements we need to make also clear statements about what our uncertainty is and we really need to be engaged we need to engage with decision-makers we need to engage with the general public people need to understand the stakes but it requires an investment time and effort and I think more scientists are appreciating how critical that is. Our outreach is absolutely it's if not as important it may be even more important sometimes than the science itself.