![]() ![]() ![]() With that said, I'm aware of alternate ways to estimate emissivity, e.g., (1) by Image Classification method which assumes emissivity for each class, or (2) by using emissivity values from spectral libraries such as the ASTER spectral library ( ), or (3) by taking into account the seasonal ASTER Global Emissivity Database (GED) provided by JPL or (4) In-situ emissivity measurements. This could be due to the absence of reflected energy from the sun at night and radiometric sensitivity of the sensor. However, for night-time Landsat acquisitions, estimating emissivity using the NDVI method is illogical because the NIR and Red bands of Landsat mostly register only noise. This works more or less okay for Landsat scenes that have been acquired during the day. ![]() (2001), which probably is the most commonly used method for estimating emissivity. Generally, I've been using the NDVI Threshold Method as described in Sobrino et al. The demo of EarthView comes with the first map - all others can be downloaded from the Maps page.For this question, I'm only interested in estimating ε. This means, they have much more detail, so you can zoom in even further. If you purchase the full version, you'll get the possibility to download even more detailed versions of some maps, which have higher resolution. EarthView has won many awards for its absolutely breathtaking images.ĮarthView supports four different beautiful maps of the earth, starting at 10 km resolution, which means that at 100% zoom level, 1 pixel on your screen equals 10 kilometers on earth. Many options allow total customization of all view parameters. EarthView supports different maps that show our planet earth in different ways, like photographic or artistic. It produces colorful, high quality, high resolution images for every screen resolution - even beyond 2560x1600! The program supports map and globe views, urban areas, city lights, atmospheric effects, clouds, local time display and much more. EarthView is a dynamic desktop wallpaper and screen saver, which displays beautiful views of the earth with daylight and night shadows. ![]()
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