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EarthExplorer - On-line Search Tool for USGS Remote Sensing Data

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hurry up it started here my name's jim until I worked for her as TT Inc. which is assigned a contractor to the US Geological Survey and I'll give you a little bit more of an introduction here a little bit but and I'm here to talk about birds explorer which is an online tool so for searching news just remote sensing data which
in I wasn't mean but but like but that a little bit more in the future here but the an overview of my presentation I will do a little introduction and talk about the history of Earth Explorer talk but some of the challenges we had in developing and I will mention technology and I'll talk a little bit about some of the datasets we have available which we have plenty and at the time the features of the observed number the features of Earth Explorer can they give you a whole screenshot walkthrough of of how at explore works and how you can search for data and then questions FIL bit of introduction and obviously at Explorer that Florida justice . gov is a domain and the NGO the readings you check it out in time you want we are 1 of the main data distribution corals for the US Geological Survey and specifically remotely sensed data so pictures of you know and aerial photography satellite data that sort of thing and then we do have some rare type datasets as well the the and so again it whom I have like sentimentality ink and the software engineering lead for the explore project I do all the couple other projects but since presentations only about explorer much that here and I II represent the US Geological Survey's long-term archive project and which is a project out of a the error status and of for that principle CELP coder and the long-term of archive project is responsible for its Explorer globe is if for that 1 and HTS explorer he'll lying and I could probably fill the rest this page with with projects at the long-term market takes care of that so point is we do have a lot of the as the name suggests we do a lot of the archiving of any of that remotely sensed data so we we have 1 of the largest civilian archives in of remotely sensed data in the basement of arrows and I try to find a picture of the confinement but the amazing which can find a picture of pictures but I we've got literally hundreds of thousands of canisters of film and down the basement that worry are working to digitize and and put 100 to explore specifically
I'm still a bit of a history of Earth Explorer I'm in the nineties at the somewhere in the mid nineties and started as a project called glass the global land imaging system and as you can imagine that in the nineties is used pretty simple it was text based on very limited number datasets I think there was maybe 2 or 3 datasets in there and so that was pretty limiting come in the early 2 thousands they started that the Earth explore present really where we came from and we passionately colored although Earth Explorer very imaginative but but was based on some clunky third-party software that you know over the years as you can imagine and something that starts in the early 2 thousands and lasts until 2010 almost I get pretty pretty uploaded bloated and and ugly and terrible slow so somewhere around 2009 I think actually 2008 this started talking about what we do for a reason and how do we make this better and how can we improve it so that then came along Nunavut Explore so again ImageNet name that I we wanted to the main goals was breaking that the party dependency reading reading what that software in there it didn't really know serving its purpose but in work that well and we wanted to create something that was maintainable an extensible and look toward the future because we knew that you know from from the nineties wineglass started when we had 2 datasets Intel 2010 1 although it's explorer really retired and went away and we went from 2 datasets to I think the datasets so that it really get you know quite a bit below and and became you know mean it's problems so the new explore was postfixed at and we wanted it simple-to-use wanted anybody from the you know the the guy at the street you know a neighbor guided going here and they will find a picture of his house to and you know all the way up to GA seizure power user and we want them to be able to find find things to so we wanted a simple the and so the challenges in
developing that North explorer weird of like to mention that the variety of data types and that the initial design I think there was like 90 unique datasets that more up to not including h tedious the that each TTS explore data were up to 3 and 80 datasets now so in 4 years we've we've you triple the quadruple we've done and we wanted to avoid that vendor lock-in if possible a always possible but were avoided if we can but we do have a requirement that goes all the way up to and the Senate to collect demographics information so that if you do go Earth Explorer you'll realize there's a log in and we ask you a bunch of questions that we call demographics of that requirement goes way above me uh the it goes all the way up to you some really important people and they wanna know who's using the data where the using it for a you know what type of research are they doing that sort of thing I like a mention we wanted extensible so we wanted to create a system with future capabilities of mine and the biggest goal of the North explore project was to support Landsat 8 and we knew that the data rates as far as how much data we're going receive was was a little larger than anything we've seen in the past as well as and we wanted to handle the large traffic they were worried about you know millions and millions of users which could get a million users but that they want us to be able to handle so some of the technologies
we implemented with North explorer and you've actually had map server in there and in different places for quite a while and we use it for and the overlay of the browse overlay the image overlays that we do in the map which I'll show you a bear um we use PHP which isn't specifically a fast cheap tool but it's open source so I feel good about that previously Apache and J. courage degree you Iisten JavaScript frameworks and we do use Oracle Spatial all that is the that kind of came from the old system and lived on the and it was kind of the de-facto standard and we're doing some things to slowly from and as you can see in the next line is posters we start a new injection posters and and and use that a little bit and then we do use the Google Maps API again something that came from the old system to the new system of maybe that'll go someday nature and body so datasets what is that we haven't explored this is actually a very small subset of datasets we ever got there and like is said there's 3 100 and 80 some unique data sets out there but we've got everything from aerial data some these an object single frames in high resolution or or the imagery those of from 18 forties and we have deer down the basement that's even earlier than that were working to disguise so the we've got very old all the way out and you know up to on the right side The Lancet archive Landsat he is obviously very operational and and in a very busy at the forest so I'm going back to the left side we get to classify data with a whatever we called the class 1 and the class to which are 2 different groups of declassified in it's all aerial photography I would get desolvation data so that the the density and show reader biography mission and to topic 30 has for global DM global and surveying probably better known as GLS least ASR is a collection of Landsat data and then there's different collections there's a 2000 and 2010 2005 and its Kennedy suppose the global coverage map of the best scenes of Landsat data in this time series so and if you're looking for that the best Landsat data GeolISS words probably at the light are his while you know Atlanta is probably know less about than leaders do I'll answer archive we do have everything from Landsat 1 all the way up to the the latest LANcity and we have almost all the data that there is real answer and we do have learned in collaboration with NASA we have some of the the Land processes stack and data that comes out errors as well so the cement in some was quite a bit more of the world and they had quite a few collections to a small last year so and that's a good collaboration effort that we're
going with them so on under some of the features that can I wanted to give you guys an idea of I will show you what the main
interface looks like search interfaces it is this and and probably not going to do a damn unless we get to the end and we have a whole bunch of time left but if you're curious about a demo catch me later I can walk you through it but I'm hoping that the screenshot tour
will give you an idea what you can do here so when to focus on and how you can find data and you know where where that data existing and how to search for so omega number search options so as you can see is can the left side of the screen take map of the form
show would you get back on it corner polygons suggested in either and enter them in there or you can use the map to enter the polygon current year points and into up to 30 points and it is limited to single polygon right now but you look points like this and we have addressed place search that uses Google's uh geocoder so that if you type in Portland Oregon obviously can that give you set pointed and the nearest bathroom the familiar with Landsat series of data so you know it wouldn't at path arose from that will you give you the center point 4 or Paul again of that and we do have a feature shared feature search so if you're familiar with the thousands of hundreds of thousands of features that are out there you can find those in there and we do allow circles so if you you know if you are say in this case 20 mile radius of our own chief also got a you can do that so if you just won't know what is lives within their and then we have predefined areas so this is something we've added recent brain last year so that in that basically gives you a polygon of a specific areas so in this case they we chose the Baconian Portland the and then you can upload share files and KML also kinship follows the area and just uploaded and we can do a search based on that again we are limited to 30 points and symbolic and more open to fix future just a little difficult at this point and obviously you can new temporal searches and you can change you can do like a seasonal surge of the click that that month option on lets you check off months if you only want to do 1 growing season in the winter season whatever I need to do that as well and then inventories the number so I
want to what we call tab to the dataset stamp on here is a list of the 3 groups of datasets we have here obviously not bound to a single dataset so you can see we get quite a few groups under each of those is the number of of datasets so but but the top there if you
look in repair where will we call that the dataset prefilter and so with the dataset there is tagged using idea what data might be in the the area magenta in the 1st attempts so you get a specific area of interest and click this it's going to say OK this data is definitely the that the state is definitely not in the area that you are searching for so you can probably ignore that no 1 can be and I will say that this is itself which is a bounding box so if there's data in Alaska and in Florida and you pick a spot in the center the US you got the bonding box reinstated data there is so it's not exactly accurate but should give you an idea of what what datasets to exist in that area and not on the dataset options and the 1st option there and you'll see this and in most the datasets we've got a product page that tells you more about the dataset and it'll give you information as far as know where it came from what processing levels exist you know how it's out ingested that sort of thing and then we do have found the coverage map which is a recent addition as well on the cover map again is is it's similar to that is that provoke there were it will tell you exactly where data this doesn't tell you how much data doesn't tell you there's no 300 seems read this 1 little spot but I'll tell you will find surging in that little spot down there definitely guaranteed at least 1 scene so moving on the 3rd tab once you
choose a dataset so in this case it chose light are and and I move on to the additional criteria page this this tab really gives you can a fine tuning is the search for that dataset so this is dataset-specific so each datasets can have different criteria here you can see with lighter get out state as the province in the country information so something like Landsat doesn't have this but later does project again is a specific thing later but in you know Landsat dataset might have a diverse path throwing to different information and then we move on to the task the for that which is where you actually find data and you can see here have chosen a lens and a dataset and it tells you how many results are within my area which is written here is some options for exploring there's of controls here and then the bulk of what you're doing as it is in this little tab row here which should have so each of these different icons mean something different some datasets have specific I can some will have different icons but and this is the the majority of them so the first one is a footprint in a footprint that scene and tell you where the scene is all you know what covers in this case and I was looking Portland advanced data that was for for 1 in the 2nd thing we call browse overlay which gives you a lot of it's essentially full resolution mass link is what it as this is were map server comes and you zoom that you can see all the way down into that In the slides and it's a 30 meter pixel in and you can see if the data is gonna work for which you need to do the clouds over the that sort of thing so you will recall the browse comparison to all the time which is something we again we've added in recent but in the last year browse comparison tool basically allows you to take a series of seen 1 or 2 hour or more than a couple and was he just compare button you have to choose a couple it that compare button and it takes another another page that of allows you to compare those things loves you overlay among top of a map in the form of a stranger to know true
stranger that 1 but I of the it it basically allows you to compare the scenes and and look at them and on top of each other so you could see if you look at to say you know when you try and decide which 1 to grab and you can look at and see which 1 has cloud cover over your specific point of interest which 1 may be has better seasonal data you know it's you get seen from July as seen from August in which 1 looks a little bit better so again this is getting down to you pixel type stuff where you're looking to get a specific 1 piece of information a specific point and the 3rd 1 is metadata obviously some of more began metadata so you can you look at the metadata there's obviously more here you can see the browse images in case alliance any of to browse images 3 rows images and of the tree can take a look at those but obviously reasoning here's download things you can download the data so that that this I can there and again each datasets can have specific products are available so in the case of and said he'd and there's actually 5 products are available so there's a natural cover color thermal quality band geographic references deal and a little more intuitive the book dollars into no talk about a couple slides but the ball down what basically you can you can q goes up and created a Q of data that you are able to download later so that and just clicking that I can added to the queue and then some some datasets have been ordering options so in this case the if I want at the the g of like in order that on demand by clicking the the chopping basket
like another thing I wanted to talk about was the stair quest which the results being at the bottom the bottom right of that result stuff is is where consumers stare class this is something that the and basically allows you to run the same search over and over so that if I had a specific area of interest and I wanted to know tomorrow of there's new data there or next week if there's new data there I I would set up all my criteria all my my information that I wanted and had submit the standard questions and what you doing here is telling you know run it once a day or once a week and once a month you give a start date and end date but you can add the all model bold download functionalities so if you if you always just wanted to download any scenes that match this specific area of interest you can do that again I'll talk to talk about both downloaded think in the next slide and then any given acquisition start mandates use this this it's in our system basically every day and In some cases multiple times a day it will run that will look for new data for use you know actually have to come back to Earth Explorer until there's a new data than Americans endowment so it's kind of a nice feature of something that I think I want to show you guys because I think it's pretty useful and so like a set in but will book
down book download is I'm he's basically allows you to generate a list on so if I know I want to a hundred scenes are 1 thousand scenes I can add those although my boat less and it's really meant to be some kind of unintended of a system for doing Dialogue so is the estimate of order here they submitted to scenes of so this is the is actually job interface that we wrote that sits on your local system to come in it's like my order and panacea but you can see here the 2 scenes depending on what I would do is as they can come in here I can change and things of want but there's 1 of these downloads to start with the begin download and and they would just stop so I'm downloading to scenes 2 scenes obviously is not probably a realistic use case for a but a ImageNet thousands if you like like a thousand times in OK this this this this this gives you a way of downloading a large bulk of data we we release this about a year ago and in this case it's the usage is it keeps going up for up to 100 terabytes of data a month now that we're pushing through the system and I think we're just pass the petabyte and mark since we want this thing here going in the initial launch for the 1st about 4 months was kind of a closed beta so petabyte about it gone through this in years is pretty Brim using us were happy about it what was that more than meant that about a month so the and help us get there OK so I'm
got some links appear obviously the website is regret explored ideas just a mentioned earlier give e-mail questions and in the l-th used stock of the if you ask them for the for developers helping people send to me so in organum eventually confused user customer service people will send it to me 2 and for feedback on this link is actually reading the website if you go to the top right corner of the website site of definitely if there's any feedback if you have questions you know I don't know what use or I know this data but you know having problems downloading at anything and again that that the back button basically just go back to the lth stressed of the send to me and and we saw the problems and then we don't help help document out there again this link is available on the web site I'm in the top right corner that does have some moral standards in areas you taking this doesn't work how do I do this so Soon with that would tell
it to so let's go questions 1st and then got canvas aside that we know to have we need to questions that the the guys have any like feature stuff the 1 comment on the author I do my and actually hope to to come here and can unveil a a large feature that we've been working on for a couple months now I and unfortunately my customer shows down so that we do have some really cool stuff coming up dedicate comment on no of next year we come back in and talk all about it but the the that the we've been really focusing on a couple other websites so and 1 of the new websites that were were kind of working on right now is something called adopt pixel and so it's more based on it's kind of away from the Earth Explorer project itself it's based on ground truth thing so I 1 thing to be able to do is coming to the website submit photographs of specific areas in and then somebody could come through it explored actually search for that data and look for for the ground truth in things so if if the satellites as OK this is grasslands and in know you Baltic pictures and it's actually something different here it's wheat fields of something maybe the ground truth that and that should be coming out have real the timeline for the sometime in the future that data will be available 1st explore and unfortunately no I don't the answer a question I don't have any in the future things but there's something they working the the any other questions kind well I work for a Sanitary District just south of Portland then I've been wanting to do a bomb the septic tank failure analysis and I've just never know where to get some current data materials are and satellite imagery would the satellite imagery that I could get off here be at scale that I could do something that smart there's potentially some of our commercial data that we have available at the I did mention the commercial because it's it's kind of a limited isca restrictions as far as you can access but on potentially depending on how you which organizations you associated with you could have access to that commercial data in that commercial data is down to the summit down to new pixels so and that could work for you can contact you get him any other questions the change things on 1 of the that's and
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Metadaten

Formale Metadaten

Titel EarthExplorer - On-line Search Tool for USGS Remote Sensing Data
Serientitel FOSS4G 2014 Portland
Autor Mentele, Tim
Lizenz CC-Namensnennung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/31749
Herausgeber FOSS4G, Open Source Geospatial Foundation (OSGeo)
Erscheinungsjahr 2014
Sprache Englisch
Produzent FOSS4G
Open Source Geospatial Foundation (OSGeo)
Produktionsjahr 2014
Produktionsort Portland, Oregon, United States of America

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract The EarthExplorer (EarthExplorer.usgs.gov) system provides on-line search, order, browse and download of Landsat, aerial, LiDAR, and a multitude of other earth science data in support of the United Stated Geological Survey (USGS), Earth Resources Observation and Science (EROS) Center. Last year, the launch of the Landsat 8 satellite has provided over 200,000 additional scenes to the historical Landsat archive. EarthExplorer was developed to provide a fast, easy to use search engine to allow scientist and general users the ability to search and download data over their area of interest. The EarthExplorer user interface uses open source JavaScript libraries, PHP: Hypertext Preprocessor (PHP), Cascading Style Sheets, and the Google Map API. Some of the key features of EarthExplorer include:¥ Fast, geospatial search engine¥ Map viewer for viewing overlay footprints and browse overlays¥ Simple, fast Graphical User Interface (GUI)¥ Data access tool to search and discover data¥ Textual query capability¥ Keyhole Markup Language (KML) export capability to interface with Google Earth¥ Save or export queries, results, and map overlay for reuse¥ Request on-demand products¥ Access to browse images from standard products¥ User authentication service for access to specialized datasets and tools¥ Access to Landsat Data Continuity Mission (LDCM) quality band data¥ Standard product downloads¥ On-Demand Web Mapping Services¥ User notifications of new acquisitions and available products through subscription servicesIn addition the Bulk Download Application provides a simple tool for users to obtain large quantities of data without user interaction. Together with the EarthExplroer interface, user are able to obtain large amounts of data from the EROS archives.
Schlagwörter EarthExplorer
Landsat
Geospatial
Open Source

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