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ArcGIS doesn't handle HDF files very well, so you might need to use some other methods to extract the data. You could use the MODIS Reprojection Tool, or if you have access to ENVI/IDL, you can use them to read and export the data.


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There isn't much out there in terms of MOOCs for remote sensing. The most recent offering i have come across was from The European Space Agency - Monitoring Climate from Space. The next session of this MOOC starts on the 25th of July 2016. Week 1 - Observing Climate Change from Space What is Earth observation? How do we observe the Earth with satellites? ...


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Arc GIS have introduced the image classification tool in version 10. If You want to classify the images using Arc Map. Check this tutorial of the tool. You may also use other softwares like ENVI or ERDAS IMAGINE for this purpose. For the case of ENVI this tutorial guides you through the process and can perform both supervised and unsupervised ...


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There is no definitive way to determine the bands without vendor metadata. However, you can infer which bands are which by looking at a spectral profile of image reflectance values at features such as water and vegetation. For example, near infrared values in your imagery will be very low for water features and very high for healthy green vegetation. The red ...


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Have you tried looking at the help file? Simply typing DRA into Help gets you to a page that explains what it means, which is dynamic range adjustment and what it does. There is even an official ESRI blog page that points to the appropriate help page.


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Looking at their site, they clearly state that: Circa year 2000 Landsat 7 cloud-free image composite (first) Reference multispectral imagery from the first available year, typically 2000. If no cloud-free observations were available for year 2000, imagery was taken from the closest year with cloud-free data, within the range 1999–2012. Circa ...


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Do note that MDHald's answer is linking you to Sentinel-1 SAR Data. The Sentinel-2 EO data has it's own "pre-ops" hub. With the login credentials currently guest/guest. As you can see, searching for "nigeria" returns correct results. If you want to search for individual granules, you can use this KML tiling grid to locate them Sentinel-2 data is also ...


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From release 5.4 OTB will distribute standalone binary packages which contain all exe and applications in a self contained archive for LINUX/Windows/Mac. 5.4 is not released yet (targeted for May) but you can already try it (nightly package are available on a daily basis). 32 bits system: ...


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As PolyGeo mentioned in his comment, your question is too broad. There are plenty of satellite images with high spatial resolution including QuickBird, Ikonos, WorldView-1 and WorldView-2 (spatial resolution of 0.46 m), and you can check sample image of WorldView-2, WorldView-3 now provide data at 0.31 m resolution. Answering this question will not be easy, ...


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Layer stacking is a process for combining multiple images into a single image. In order to do that the images should have the same extent (number of rows and number of columns), which means you will need to resample other bands which have different spatial resolution to the target resolution. In other words, all images/bands should have same spatial ...


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@Mr. Che and @Aaron have given great answers regarding two different things to do, but i would like to point out that there is actually a quick and easy way to use the landsat data without dealing with implementing the fmask algorithm or doing the atmospheric correction yourself: by using the surface reflectance data processed based on Landsat data. They are ...


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You can download Sentinel 2 Imagery by going to the Sentinel Data Access Portal and selecting the Sentinel Data Hub Once you have arrived here select Scientific Hub In the top right hand corner select Sign Up (Enter all your info and verify the email they send you) Login to your new account. Begin your search by using the search bar and type in ...


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Atmospheric correction is required for all time series studies, as indicated in your comments. Dark object (aka Dark Body) subtraction is a common method to accomplish this as long as a suitable dark object, such as a water body, exists in the scenes. Resources: Dark Object Subtraction Classification and Change Detection Using Landsat TM Data: When and ...


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P.s how to remove cloud for landsat 7 images? You can try to use automate standalone algorithm Fmask described here.


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You can open "Edit header" --> "Edit Atrributes" --> "Data Ignore Value", and then set the background value.


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Not sure if this is what you are looking for but you should be able to do that in ArcGIS. Here is the link that explains it. http://geospatialworld.net/Paper/Application/ArticleView.aspx?aid=460 You can use ENVI or ERDAS to do the NDVI as well. For more info on Landsat 8 http://landsat.usgs.gov/landsat8.php


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Can you tell me what module are you using ? You should be able to do that. You need to use the "Edit ENVI Header" and then open the Edit Attributes. When you are there scroll down to "Data Ignore Value" and set to Zero.


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Just adding one more option, AWS hosts Landsat scenes on S3 https://aws.amazon.com/public-data-sets/landsat/ To do land cover classification, you could also consider using Sentinel 2 data. Sentinel 2A has been launched a few months ago, its 10m resolution with 13 spectral bands. The Copernicus program grants full open access to the sentinel data: ...


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Response From an INSAR professor Dear Eric I heard from XXXXX that you are interested in an (InSAR) DEM, I presume over an area in Kenya? Please note that there are already such products available, e.g. the SRTM DEM and products from the TanDEM-X mission. Both InSAR missions were tuned to obtain the best quality DEM's, as they worked in the single-pass ...


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Yes, there are Tasseled Cap Coefficients for the RapidEye sensors available: Brightness, Greenness and Yellowness. Yellowness - instead of the commonly derived Wetness (e.g. Landsat) - was derived because the RapidEye sensors do not have SWIR bands (SWIR bands respond to moisture variation, e.g. in soil/vegetation). Yellowness instead shows the variation of ...


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McNemar's test is a test for paired proportions, I do not see how it applies to a multi-class confusion matrix. Commonly, it is applied to validate logistic models. You cannot hope to aggregate the entire confusion matrix into an 2x2 contingency matrix and expect a valid hypothesis test. I suppose that you could iterate through classes, deriving an ...


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the anomaly has been identified and is currently under investigation. It is not systematic as far as we know. Please report this kind of anomaly to the Copernicus help desk. Thanks Sébatien CLERC S2 Mission Performance Center


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Check the other granules in the scene from which 33UXP is taken. If it is something systematic, it should affect all granules (in zone UTM33).


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I've downloaded these granules and notice the same shift. It appears to be geographic processing error on ESA's behalf. I've never encountered a shift like this before. The image metadata is the same for both, which means some error occurred before the Level 1-C product. (the 100*100Km granules have already been processed, for more information look here) I ...



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