Chances are, you have a camera near you as you read this—in the smart phone in your pocket or on the tablet or computer you’re using to view this page. Some of you might have a 35 mm film or digital camera nearby. And at some point this week, you probably looked through photos posted by friends or even strangers on the Internet. In our photo-saturated world, it’s natural to think of the images on the Earth Observatory as snapshots from space. But most aren’t. Though they may look similar, photographs and satellite images are fundamentally different. Non-personally identifiable information is any information that is not linked to the particular service User. The information is received when the customer uses the services, including via Ukrposhta site, mobile applications etc. Personally-identifiable data processed by Ukrposhta covers contact data provided by the Users when using services (surname, name, patronymic, phone number, email etc.) that is used for payment of Ukrposhta goods and services; tracking numbers and status history of the postal items etc. The data is transferred voluntarily by the Users to give opportunity to Ukrposhta to perform its service obligations. Non-personally identifiable information is used solely for generating statistics and improving the services, including informing the User about new services. Ukrposhta blank rekomendovanogo povdomlennya. Nov 2, 1999 - The Longest Day is a mammoth, all-star re-creation of the D-Day invasion, personally orchestrated by Darryl F. Whenever possible, the. Highster mobile pro edition download torrent. A photograph is made when light is focused and captured on a light-sensitive surface (such as film or a CCD). A satellite image is created by combining measurements of the intensity of certain wavelengths of light, both visible and invisible to human eyes. Why does the difference matter? When we see a photo where the colors are brightened or altered, we think of it as artful (at best) or manipulated (at worst). We also have that bias when we look at satellite images that don’t represent the Earth’s surface as we see it. “That forest is red,” we think, “so the image can’t possibly be real.” In reality, a red forest is just as real as a dark green one. Satellites collect information beyond what human eyes can see, so images made from other wavelengths of light look unnatural to us. We call these images “false-color,” and to understand what they mean, it’s necessary to understand exactly what a satellite image is. Satellite instruments gather an array of information about the Earth. Some of it is visual; some of it is chemical (such as gases in the atmosphere); some of it is physical (sensing topography). In fact, remote sensing scientists and engineers are endlessly creative about what they can measure from space, developing satellites with a wide to tease information out of our planet. Some methods are active, bouncing light or radio waves off the Earth and measuring the energy returned; lidar and radar are good examples. The majority of instruments are that is, they record light reflected or emitted by Earth’s surface. These observations can be turned into that measure everything from plant growth or cloudiness. But data can also become photo-like natural-color images or false color images. This article describes the process used to transform satellite measurements into images. Most of the electromagnetic radiation that matters for Earth-observing satellites comes from the Sun. When sunlight reaches Earth, the energy is absorbed, transmitted, or reflected. (Absorbed energy is later as lower-energy radiation.) Every surface or object absorbs, emits, and reflects light uniquely depending on its chemical makeup. Chlorophyll in plants, for example, absorbs red and blue light, but reflects green and infrared; this is why leaves appear green. This unique absorption and reflection pattern is called a spectral signature. To make a satellite image, we choose three bands and represent each in tones of red, green, or blue. Because most visible colors can be created by combining red, green, and blue light, we then combine the red, green, and blue-scale images to get a full-color representation of the world. A natural or “true-color” image combines actual measurements of red, green, and blue light. The result looks like the world as humans see it.
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