Skip to main content

Google Street View Image API

    Street View is one of most used feature of the Google Maps and why not? You can actually see any part of the world as if you are visiting the place at that very moment. And now with the Google Street View Image API, you don't even need to carry a camera with you to the places you visit. You can take-in all the scenic beauty without even bothering about clicking a single picture. You can come back from your vacation and get a few images using the Google Street View Image API and show those images to your friends and relatives. Create an album of high definition images and go ahead and share it on Facebook for your friends to have a look.

    Using the Google Street View Image API is very simple and anybody can make use of it without any programming knowledge required. I will walk you through the entire process of effectively using the Google Street View Image API. So if you are set, let's go on an amazing ride across the globe with the Google Street Views.

    The Google Street View Image API lets you embed a static (non-interactive) Street View panorama image in your web-page without using any sort of Javascript. You can might as well get the image using the API and save it to your machine, create an album and share it on Facebook, Twitter or any other way you wish to share! The viewport is defined with URL parameters sent through a standard HTTP request, and is returned as a static image. This means that, what you get in the static image is all controlled through a HTTP web link and nothing more.

The Faber Bistro atop Mount Faber, Singapore

    The image above is of the Faber Bistro atop Mount Faber in Singapore. This is an excellent place to visit in Singapore and should take the Faber Loop Walk here. You will definitely enjoy the views of the island city from here. The fries at this bistro after walking along the Faber Loop are definitely worth a try.

    Well, let's get back to the Google Street View Image API and how to use this API. All you need is to generate a HTTP request to get a static image. Take a look at the image below. This is the famous Marina Bay Sands in Singapore. You can easily spot the URL in this image. This is an example of the URL that needs to be generated. I will explain each of the parameters used in this HTTP request.


    A Street View Image request is of the following form:

http://maps.googleapis.com/maps/api/streetview?parameters

    The first of the required parameters is size. Size specifies the output size of the image in pixels. Size is specified as width x height - for example, size=600x400 will return an image 600px wide and 400px in height. The maximum size of the image returned is 640x640. If you use the Street View Image API for Business then you can get images of up to 2048x2048.

    The next parameter that is required is location. Location can be either a text string (such as Marina Bay Sands, Singapore) or a lat/lng value (1.28821, 103.854121). The Street View Image API will snap to the panorama photographed closest to this location. Because Street View imagery is periodically refreshed, and photographs may be taken from slightly different positions each time, it's possible that your location may snap to a different panorama when imagery is updated.

    The third and the last required parameter is sensor. Sensor indicates whether or not the request came from a device using a location sensor, like a GPS to determine the location sent in this request. This value must be either true or false.

    The next four are optional parameters but very important. Proper use of these parameters will enhance the outputs of your Street View Image request.

    The first important optional parameter is heading. Heading indicates the compass heading of the camera. Accepted values are from 0 to 360 (both indicating North), with 90 indicating East, 180 indicating South and 270 indicating West. If no heading is provided, a value will be calculated that directs the camera towards the specified location, from the point at which the closest photograph was taken.

    The next important optional parameter is fov. Fov or Field of View is expresses in degrees, with a maximum allowed value of 120. The default value for fov is 90. When dealing with a fixed-size viewport, as with a Street View image of a set size, field of view in essence represents zoom, with smaller numbers indicating a higher level of zoom.

    The next optional and another very important parameter is pitch. Pitch specifies the up and down angle of the camera relative to the Street View vehical. This is often, but not always flat horizontal with default value being 0. Positive value, with a maximum up to 90 angle the camera upwards while a negative value with minimum up to -90 angle down the camera.

    These three optional parameters usually play the most important part in displaying the correct Street View image. To get the perfect image in the scope, you need to play around with these 3 optional but very important parameters. The fourth optional parameter is key. When you will have an API key for using the Google Street View Image API, you will have to use the key parameter as well.

    So, to summarize the parameters that form the Google Street View Image HTTP request call,
  • Required parameters
    • size
    • location
    • sensor
  • Optional but important parameters
    • heading
    • fov
    • pitch
    • key
    How you enjoy the Street View Image API. Do let me know how you would be putting it to use and which places you would visit through the Street View. Do share and comment and let me know of any questions regarding Google Maps that you would like to be answered! Till the next post, enjoy your vacations using the Google Street View.

Comments

  1. Hi there everyone! Hope you are having a good day. I came across your website and I think it’s one of the best in town. It’s really helpful regarding web development. Your tools are exceptional and very easy to use. Your content is diverse and really impressive. I can be helpful to you regarding upgrading your website. My site offers offer reverse image capability. Here is the link image search

    ReplyDelete

Post a Comment

Please leave your comments here...

Recommended for You

Where does Google get it's live traffic data from?

Referring to a post that I wrote earlier, Google’s - Live traffic Layer , ever wondered how Google collected this data? I was wondering the other day, how Google received live data to display it on their maps as a layer! I looked up the web and found something very interesting and am sharing the same with you all. As we all know, the traffic layer is available most accurately in several states in USA. Most major metro areas in the US have sensors embedded in their highways. These sensors track real time traffic data. Easy to miss at high speeds (hopefully anyway, traffic permitting), more commonly noticed may be the similar sensors that often exist at many busy intersections that help the traffic lights most efficiently let the most amount of people through. The information from these tracking sensors is reported back to the Department of Transportation (DOT). The DOT uses this data to update some of the digital signs that report traffic conditions in many metro areas. They als

The bitter divorce of PSD and HTML

    Today's article is an interesting post that I read. The original post in Portuguese and authored by Fabricio Teixeira  can be found at arquiteturadeinformacao  (Now don't ask me pronounce this =)).     Some are calling it the death of PSD  but I prefer calling it a "divorce". PSD and HTML are both healthy and living strong, just that they do not live together anymore. "PSD to HTML", which for years was the most accurate and sometimes the only right path to web design process, seems like has its days counted.     Firstly you draw a page in Photoshop; impeccable layout, representing exactly how the web pages would appear when opened in a browser. After a sign-off on this picture (PSD) from the client the front end developer transforms these pictures into HTML, CSS and Javascript. The assets are cut, one by one, exported from the PSD and integrated into the HTML. Plugins and new tools are created in the process and some companies even charge upto $1

Two maps on the same page - Side-by-side

    How good I am feeling to post a code example after such a long time! It's been all "news" over the past so many posts! Well now that I am finally doing a code example, I am posting a very highly requested code sample. Placing two Google Maps on the same page (Now that's simple you would say!), but side by side. Now this is the thing that most people struggle with. Well, implementing the second part is also very simple, as you will see in today's code.     Let's see the code. Here it is!     The output of the above code will be as seen in the result section above.     As most of you will realize, there are two maps, one centered at "Pune" and other at "Noida". Why I chose these two locations? Well, just like that!...The main issue of concern is how the maps appeared side-by-side and not one below the other as would be normal behavior of two "div" elements used in the same page. Now here is the trick! Check out the th

Geodashing...

            Geodashing!?!? Sounds something similar to Geocaching right? Well, it is! Geodashing is very similar to Geocaching in the sense that people are searching for a particular spot with only a set of coordinates as their clue.             Here's how it works. In each game, a large set of waypoints, called dashpoints, from all over the world is posted on the Web. Dashpoint locations are chosen at random by computer, with all the unpredictability that presents. Dashpoints might be in suburban neighborhoods or in the middle of wilderness areas. Then, the race is on to see who can reach the most dashpoints before the deadline.             Geodashing players can participate as individuals or as teams of up to five players to increase the number of dashpoints reached. The competition is friendly and teamwork helps to get high scores, so put your online acquaintances to good use.             Because the dashpoints are spread all over the world, it doesn't matter w

Delhi Metro's Airport Express Corridor mapped on GIS...

         The Delhi Metro's showcase Airport Express Corridor, connecting the Indira Gandhi International Airport to the heart of the Delhi, was rolled out for the public on the 23rd of February, 2011.          This is the first line in India to be mapped on GIS to enhance safety, maintenance and traffic regulation. Mapping the corridor on GIS will help in mobilising emergency services in case of a blast or fire on the train. Delhi Airport Metro Express Private Limited, the company operating the line, has mapped all the emergency services, including fire stations, police stations, hospitals, etc. along the alignment.