Such beautiful #mudflats
Yeah, hard to tell - good looking, though!
It's become moreso. Over the past 50 years, its abundance has decreased 90% or so. It's a real problem.
Hrm. Under the clouds? Could also be an island. Given that it is not terribly green, I'm guessing not kelp.
The black slice at the top is not the ocean - it's a cutoff image. No worries!
That's mostly land.
It's ok - thats what consensus mapping is all about!
Small patches of #kelp
Gorgeous! North end of San Nicholas island.
Yep, no kelp. #mudflat #estuary
So, this is the mouth of an estuary more likely - not a big kelp forest. That's all diatoms on a mud surface.
The faint patch down towards the bottom center? Yes! Well spotted!
Ha! I always check the Latitude first.
It's kind of beautiful!
Likely not harvest.
It might reflect underlying reef structure, but that's too regular...
Well check with some collaborators. Kelp harvesting hasn't happened for a while, so, not sure about this.
Tweeted - what storm was this? https://twitter.com/FloatingForests/status/626875311758671872
#mojave #airport #spaceport #dailyzoo
Yep, just clouds! I don't see kelp either.
Likely a #sandflat
HA! It don't care.
Good question. It has to do with how we've post-processed the data to make kelp as visible as possible.
The center of this tile looks to be near Cortes Bank - 32.478,-119.215 - so likely that's it. http://en.wikipedia.org/wiki/Cortes_Bank
Or alien contrail!
Yes! Although it's bone dry now due to drought. Right next to Edwards Airforce Base.
Whoah! Beautiful bed off of #SanNic! There's an awesome research program there that's been going since the 1970s!
Yes! We fixed the problem with old data, and are now putting Tazzie back in. It's always looked a bit greener. Lovely down there!
Possible. It is May, so, thinkgs should have settled down by then....
They're really quite amazing.
Search Paul Dayton - he's been studying this area for years, & now a number of folk from Scripps, SDSU, and others work there.
Yep, some real kelp and Landsat glitch. It's actually like we designed an art piece!
#PointLoma! This is one of the most well studied kelp forests in the world!
Yes! This looks like the Cortez Bank forest discussed here! http://landsat.visibleearth.nasa.gov/view.php?id=85059
Yep, an Island.
Huge thick bed of #kelp around Palos Verdes! #dailyzoo
Yup! But a huge bed!
It is! Nice spotting!
Cool beds off San Celemente!
Indeed, those are likely noise.
Es they are. That would have been an amazing forest, though!
But better than too dark! This set is much easier to use.
Should be updating the image set soon so kelp is less faint!
HA! I wonder. Mountaintop?
Yep! That's a big bed!
Wow! That's huge!
Good spotting! We're working to resolve the contrast issues on these images!
Yes! This image is #toodark and we're working on fixing it, but there is some at the bottom.
Possibly. Or sandflats. See https://www.google.com/maps/@-40.1572368,147.9775365,13822m/data=!3m1!1e3
This is a bad image. Just click next through it.
If not in the water, then no. That green is on land.
Indeed - just checked our stats, and we are 100% complete on this set. New set coming soon. You guys are too amazing!
Huge #kelp beds near Fort Ross! Very cool, as a lot of this might be #nereocystis - worth digging into further
In a #lake, yes.
In that area, it would be kelp, but be check against beaches, etc. https://firstname.lastname@example.org,-123.7840538,6222m/data=!3m1!1e3
In the upper portion of the image? LIkely.
Or #beach https://www.google.com/maps/@-40.2673073,148.1907579,7006m/data=!3m1!1e3
Here's a zoo in view - depends where you're looking https://www.google.com/maps/@-40.2892537,148.189809,16724m/data=!3m1!1e3
Offshore? Likely kelp!
Do you mean the cloud shadow?
Yup - #seagrass is quite likely. I'll ping a few seagrass folk who worked there to ask.
Oy, that's really hard to tell...definitely hope you clicked the cloud button!
They are also in decline across much of the globe - see Waycott et al. 2009 PNAS http://www.pnas.org/content/106/30/12377.full
They serve very different and in many ways complementary functions for coastal ecosystems. Amazing that we can see them from space!
This is the land with a lake in it.
#beach onshore. Offshore harder to say https://www.google.com/maps/@-40.2304631,148.2000071,6168m/data=!3m1!1e3
Ag, Big Sur...
The Pacific Grove/Carmel/Monterey area has a TON of #kelp in July. Shocker! Ha!
More likely #sand or #mudflats - take a look at the image in google earth.
Half Moon Bay
Huh. It's a lake...so I don't know... Runoff? https://www.google.com/maps/@-42.758521,146.2337725,13124m/data=!3m1!1e3
Marshes, actually, around Palo Alto. They have a history, though.
Just south of Point Lobos.
Its just in the ocean.
Likely a glitch.
#kelp in Cox Bight in Tasmania
Huh. Yeah. Neat one, though!
I want to go to there. And dive.
Interesting - I feel like I should be able to see kelp here...but this is also a region for #Nereocystis, so maybe that's it?
Kelp off of pebble beach!
You're likely correct. It's likely an island. Particularly as this is a recent Tasmanian image, and kelp is at an all-time low there.
That's #kelp! And a lot of it!
Glad you're enjoying! We futzed with a lot of ideas early on, but concluded simpler was better.
Amazing #aquamarine #dailyzoo
#kelp beds off of the CA Sea Otter Game Refuge
They're kind of amazing.
The #Googleplex is just south of the pond.
#waves. Notice this is tlargelyl sandy beaches. Kelp likes rock. Sometimes it's rocky offshore, but I look at beaches with care.
I think they're salt pans.
Near the head of Tomales Bay.
It's likely an artefact.
#kelp in Santa Barbara!
#Pier in San Luis Obispo
Faint but very large #kelp beds off of Santa Rosa
Yes! Quite kelpy!
Yup, Island! http://goo.gl/DlydR8
Hard to say from just the image. My guess is an island. What did it look like in Google Maps?
That's a lot of kelp!
#Saltmarsh in #Tasmania?
Yes. If that was a kelp forest that would be off the charts massive. Which would mean we'd all have to go and dive there ASAP!
I've been noticing that rivers and lakes get pulled up periodically. Perhaps it's due to the recognition algorithm for coastline?
The #marinelayer encroaches on kelp...
If you are in doubt, check Google Maps by clicking on the lat/long - for this one, you can more clearly see the beaches.
This is a great example of #beaches - not kelp! They look like they could be, but are too close to land.
Love the #cloud shadows in this one.
Neat images of a Vellejo #saltmarsh