For this tutorial, EOS has provided me with a temporary key to the Pro Plan, which allows unlimited scenes and comes with a subscription of 499 USD/year. With a free plan you have access to maximum 10 scenes per day, and visualizing apparently means selection. Make sure you select only the scenes that you are interested in. For visualizing on the map, simply click on the convenient scene. Upon selection, you’d be automatically redirected to the Scenes manager, where the entire collection will be displayed. From the Sensors panel, activated by the little satellite button on the right, choose Sentinel 1. Since recently, LandViewer started to support Sentinel 1 (among a great variety of optical sensors) and I had to try that. Using the drawing buttons on the left, I’ve defined a pretty small AOI around the village.įlood mapping can be done using any sensor, but since flood is caused by rain and rain means clouds, traditional mapping of the affected area is performed using radar sensors. Other options include Uploading an AOI and there is even an AOI manager. In the search bar located in the upper part, you can search for the location of interest, in my case, Ozun. quick access to your account and other features of the EOS platform – useful if you want to perform multiple actions in the platform and manage your data.Īll in all, I can compare it with the EO Browser of Sinergise, which is by far the most similar product.a lot of options to choose from – you have many buttons and menus, that allow you to perform all the basic needed operations (from including your own AOIs, to performing actions on the selected scenes.the interface is very responsive – moves well, visualization is quick and scenes load fast.Next thing you’ll know, you’d be here in the Land Viewer, a very friendly interface for searching and visualizing. I chose to do so using my Google account, therefore the process was fast and I avoided the hurdle of remembering yet another password. Step 1 – Go to LandViewerįirst of all, you’d need to register. Although is a review, the point of this article is mainly showing you that anybody can use this wealth of data nowadays for getting information fast and with a minimum of effort. I was curious if the Sentinel 1 imagery could reveal something. Recently, villages along the Râul Negru river (Black River) in the Covasna county, Romania experienced some devastating floods following days of rain. All these form the EOS platform and can be used for any kind of application based on imagery. All the capabilities are available separately as EOS Vision, EOS Storage, and EOS Processing, and the user interface Land Viewer, for data. This means less local storage, parallel processing, a collection of dedicated algorithms for data analysis and fast visualization. It took me more than 2 months (apologies for that) to check on it, but with so many recent events happening around the world (floods, fires…) and finally some spare time, I’ve decided to give it a go.Īs a quick introduction, EOS provides more than a geoportal, they have build an entire platform that has more capabilities: it runs on their proprietary engine ( EOS Engine), that allows users to process and analyze large imagery datasets, from a variety of sensors, while all the magic happens in a cloud environment. Olga asked me if I’d be interested to check their online geobrowser, Land Viewer, and provide some feedback. When I provided the bbox bounds with epsg value 32734 I am able to download the image correctly.Īgain I tried providing bbox bounds with epsg value 4326 but removed resx and resy from the output then image is getting downloaded but the pixel resolution of output image is larger than 3m which I was expecting.Following my previous article about satellite imagery for beginners, I got an e-mail from Olga from EOS, an innovative new company in the US (and with part of the team based in Ukraine), that represents the new wave of startups focused on the exploitation of satellite data. I am trying downloading third party image provided by PlanetScope like below response = oauth.post('',
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