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Google Street View Download



Street View offers the well-known functionality of Google Maps in app form. With it you can zoom in on a conventional map until you are in a first person view on a street of your choice. From here you can enjoy full 360 degree images of the chosen locale.




google street view download



You can also get the same street view integration when you use the Google Earth app. As both these apps work in sync with each other providing you satellite and street images to give you a full perspective of the place you want to focus on. But there are areas around the globe which does not offer street support because google has not been able to cover them.


To download and use the street view app just click on the download button and install the APK file once it downloads. Open the app and the world map will open. The area that has proper street view coverage will be indicated by light blue and dark blue lines. You can access Street View by either searching for an address in Google Maps.


Or by dragging the little yellow man to a destination on the map on your computer. Once you are at a certain location the nearest landmark will be shown just click on that and the street view of that location will start. A blue line will indicate street view coverage of the road or street. Double-tap to move forward or roll your fingers to get a 360 perspective.


I'm currently trying to download the equirectangular images Google displays in their 360 view of Google street view to an image file so that I may display them in VR in Unreal Engine 4. I've tried a few things -


Streetview panoramas are divided into an equal grid from an equirectangular image. This article explains how to get the url of every tile. For zoom level 5 (the highest resolution) there are 26 by 13 tiles (each tile being 512x512). All that is left is to download every image and draw each one onto a large empty image to their respective place using their position on the grid.


I am at it again with using Google data. For a few projects I was interested in downloading street view imagery data. It has been used in criminal justice applications as a free source for second hand systematic social observation by having people code aspects of disorder from the imagery (instead of going in person) (Quinn et al., 2014), as estimates of the ambient walking around population (Yin et al., 2015), and examining criminogenic aspects of the built environment (Vandeviver, 2014).


Using the Google Street View image API you can submit either a set of coordinates or an address and have the latest street view image returned locally. This ends up being abit simpler than my prior examples (such as the street distance API or the places API) because it just returns the image blob, no need to parse JSON.


I did this for another project in which I needed to take running images of whole streets. What I did was generate a fine sample of points along the street (like every meter), in a GIS. From that data you can calculate the local orientation of the street. Then I sampled google street view images about every 40 meters (so there was little to no overlap between shots). But I requested images at 90 degrees to the street orientation (so I got the sidewalk), whereas here you would want to just look straight ahead (or backwards?).


I am working on a project that requires me to gather aerial views of specific locations within larger developments. Due to the areas being located on the interior of the sites, street view images will not always give me the appropriate view. You mentioned in the article that you can use street addresses or coordinates. Is there a way to use the coordinates to gather aerial images as opposed to the street view?


If you have many more requests than the free billing allows, you should use a local geocoder or street centerlines to figure out the orientation stuff. But the streetview images are unique with no alternative that I am aware of.


Hi Andrew, hope you are doing fine. I searched for a way to grab Google Streetview images automatically and I was sent to your post. However I have a few questions:1) Should I enable any specifics in the google console for it to work better on your script? I enabled Street View Static API, is that enough?2) I have a set of randomly assorted points over a map, all set to fall in the center of a building. I need a photo of such building. Do you a way to batch reverse geocode the lat long coordinates into local directions? My main concern is that the pictures end up facing the wrong direction, and hence not showing the buildings.3) If I were to use the Lat Long coordinates, what format should I use for it?


A number of street audit tools such as the Systematic Pedestrian And Cycling Environment Scan tool SPACES [10], the Pedestrian Environment Review System ( ) and the Residential Environment Assessment Tool REAT [11] are available to measure the street characteristics hypothesised to influence walking behaviours. Such audit tools are completed in-person by trained researchers and are typically found to provide a valid and reliable measure [10, 11]. However, in-person audits are highly time-consuming, have safety issues for personnel and are costly due to the related travel expenditure, thus prohibiting large-scale data collection for the majority of research projects. Recent technological advancements, such as the Google Street View programme ( ), might provide an alternative mechanism to traditional in-person street auditing. Google Street View is a freely available web service using video stills of streets and neighbourhoods captured worldwide. The images are displayed to provide continuous panoramic street views that can be navigated along and rotated by 360 allowing the user to virtually walk down any available street from their computer. The use of this desk-based tool, therefore, has the potential to dramatically reduce the resources necessary to complete large-scale assessment of street characteristics.


During the auditing process a number of limitations in the use of Google Street View were identified. First, the view from the Google Street View cameras differs to that of a pedestrian auditor, pictures are provided from the centre of the road rather than the pavement, thus, blockages such as parked cars or road works can obstruct views of specific variables on some streets, in particular, pavement quality and signage. Furthermore, image clarity varied dependent upon the weather conditions and lighting when images were taken, and the vehicles used to collect images may not be able to access pedestrianized streets, a particular problem for many city centre audits across the UK. Second, the temporality of Street View can be problematic. For example, results in some categories (e.g. the number of parked cars) may vary throughout the day, but the time when images were taken is not provided by the system. Similarly, although street auditing may be undertaken in conjunction with physical activity assessment, a substantial time lapse may have occurred since pictures were obtained for Street View images, thus the possibility that changes in street conditions may have occurred between measures cannot be ruled-out. Nevertheless the ease, speed, low associated costs and high criterion reliability of desk-based auditing are argued to considerably out-weigh these limitations.


The images are detailed enough that in most populated areas you can clearly see your house, objects in your yard, and often recognize your car parked along the street. A digital elevation model within Google Earth allows you to view the landscape of many geographic areas in 3D.


On mobile it seems like you cant. The only thing you could do is to screen cap the route, or to download offline google maps, note that it doesn't include the street view. =GENIE.Platform%3DAndroid&hl=en


By downloading Google Earth Pro (I think they call it "desktop" now). It has been free for years, and requires no internet connection to function.Here is a blog article about the feature: _google_earth_offline.html


As far as I can tell, you don't. Google Earth desktop has slowed down in development. I think it is still using an older run of photographs in most ares. I think it may be possible to download the newer image set along a path and save it for offline view, however my search is being muddied up because this is a common task for the android version, which by default operates in web connected mode and doesn't save the imagery. Perhaps you could find a third party desktop app that hooks into the google maps API and provides that service?


Nowadays, the use of Google Maps is usually part of our daily activities. Moreover, it has an additional feature: the Street View. Back then, we can only view the app just like a regular map. But with the Street View, we can now explore numerous places with 360 degrees view. Users can easily navigate the streets and check the whole area.


Since the development of technology is continuous, we can even use the Street View of Google Maps on our smartphones. You can download the application in Android or Apple devices. The app is available on Google Play and Apple App Store. Below is the process of how to use the Google Maps Street view.


The theta app works perfect, but when I try to use the SC2 in the Google Street view app, the Theta SC2 crashes.When I open the street view app, it connects to my SC2, but when I try to take a picture, I get no preview of the image on my phone and all the buttons on the SC2 stop responding.


Tested on a Samsung S10e - Android 10The SC2 is updated to 1.2 and the streetview app is version 2.0.0.278526253The last update on the streetview app appears to be in November 2019, which is older than the SC2.


It has a very easy and light interface that will provide you the full information at a glance. There are four buttons; the first one is collection. In this collection button, you may see the collections of the developer about the streets and panoramas views. The second one is the explore button. This button allows you to go to the places you want to see. The pictures are so complete and enjoyable since they use 360 cameras to provide users with wider look.


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