landsat 7 temporal resolution

landsat 7 temporal resolution
October 28, 2020

In this course, you will learn how to analyze map data using different data types and methods to answer geographic questions. And if you have before imagery and after, you can also look at things like what was there before it was burned? h�b```c``������g� € "@1V �� 0E8 �����Q8ġ�sXϑ�[�7���4U���͆����;:�+:� �A1 �W��w� -��ٌ �Ox��0|h�`a�9���������$ӫ���sk�:��� �;�x7E�L Z��zޭ6@���AHH31�� Y���{u/D5�g� �$0� Describe at least 3 differences between NAIP imagery, Landsat 8 and MODIS in terms of how the data are collected, how frequently they are collected and the spatial and spectral resolution. So this is the actual website for the image that I was just showing you. It affected over 200,000 people, cut off 22 towns. It has enhanced my experience and knowledge about raster data. But that was when they were able to get a clean image, probably one that was cloud-free, and be able to see the extent of the damage. So you get the idea there. Remember this is what your eye would see. Plot various band combinations using a rasterstack in, C = OLI & TIRS O = OLI only T = IRS only E = ETM+ T = TM M = MSS. The images, archived in the United States and at Landsat receiving stations around the world, are a unique resource for global chan… To be able to map things, or to have that satellite over the same location all the time or continuously. When it comes back around, it's over here, because the Earth has rotated while the satellite is traveling. And so, you can see there’s a large area of wildfire damage that occurred during that time. Let’s have a look at one of the files and use the image above to guide us through understanding the file name. So it was a huge ordeal for these people, and it's interesting that we can map the exact location of the damage of this using the satellite imagery. "data/week-07/landsat/LC80340322016205-SC20170127160728/crop", ## [1] "LC80340322016205LGN00_bqa_crop.tif", ## [2] "LC80340322016205LGN00_cfmask_conf_crop.tif", ## [3] "LC80340322016205LGN00_cfmask_crop.tif", ## [4] "LC80340322016205LGN00_sr_band1_crop.tif", ## [5] "LC80340322016205LGN00_sr_band2_crop.tif", ## [6] "LC80340322016205LGN00_sr_band3_crop.tif", ## [7] "LC80340322016205LGN00_sr_band4_crop.tif", ## [8] "LC80340322016205LGN00_sr_band5_crop.tif", ## [9] "LC80340322016205LGN00_sr_band6_crop.tif", ## [10] "LC80340322016205LGN00_sr_band7_crop.tif", ## [11] "LC80340322016205LGN00_sr_cloud_crop.tif", ## [12] "LC80340322016205LGN00_sr_ipflag_crop.tif", # make sure you have the full path to the file, ## [1] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_bqa_crop.tif", ## [2] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_cfmask_conf_crop.tif", ## [3] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_cfmask_crop.tif", ## [4] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band1_crop.tif", ## [5] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band2_crop.tif", ## [6] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band3_crop.tif", ## [7] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band4_crop.tif", ## [8] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band5_crop.tif", ## [9] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band6_crop.tif", ## [10] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band7_crop.tif", ## [11] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_cloud_crop.tif", ## [12] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_ipflag_crop.tif", # use the dollar sign at the end to get all files that END WITH, ## [1] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band1_crop.tif", ## [2] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band2_crop.tif", ## [3] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band3_crop.tif", ## [4] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band4_crop.tif", ## [5] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band5_crop.tif", ## [6] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band6_crop.tif", ## [7] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band7_crop.tif", ## [1] "data/week-07/landsat/LC80340322016205-SC20170127160728/crop/LC80340322016205LGN00_sr_band2_crop.tif", "Landsat cropped band 2\nCold Springs fire scar", ## dimensions : 177, 246, 43542, 7 (nrow, ncol, ncell, nlayers), ## extent : 455655, 463035, 4423155, 4428465 (xmin, xmax, ymin, ymax), ## crs : +proj=utm +zone=13 +datum=WGS84 +units=m +no_defs +ellps=WGS84 +towgs84=0,0,0, ## names : LC8034032//band1_crop, LC8034032//band2_crop, LC8034032//band3_crop, LC8034032//band4_crop, LC8034032//band5_crop, LC8034032//band6_crop, LC8034032//band7_crop, ## min values : 0, 0, 0, 0, 0, 0, 0, ## max values : 3488, 3843, 4746, 5152, 5674, 4346, 3767, ## [1] "LC80340322016205LGN00_sr_band1_crop", ## [2] "LC80340322016205LGN00_sr_band2_crop", ## [3] "LC80340322016205LGN00_sr_band3_crop", ## [4] "LC80340322016205LGN00_sr_band4_crop", ## [5] "LC80340322016205LGN00_sr_band5_crop", ## [6] "LC80340322016205LGN00_sr_band6_crop", ## [7] "LC80340322016205LGN00_sr_band7_crop", # remove the filename from each band name for pretty plotting, "RGB composite image\n Landsat Bands 4, 3, 2", "Color infrared composite image\n Landsat Bands 5, 4, 3\n Post Fire Data", 3. The orbit is stationary, it's staying in the same position relative to the sun. Conventionally Landsat was stored in a file format called HDF - hierarchical data format. The use of Landsat 7 ETM+ images such as with 30 m by 30 m resolution will help to overcome such shortcomings. And this was how the area was flooded. This is Mount Pinatubo in the Philippines. And it's collecting information along that path, or collecting data, sorry, along that path as it goes. In this section, you will also learn about how to use ModelBuilder, a simple but powerful tool for building analysis flowcharts that can then also be run as models. And the whole trick here that they use, the people that put these up there, is that they have the satellite orbiting the earth at the same speed that the earth is rotating. Landsat data is a multispectral dataset collected from space. The Landsat 7 ETM+ instrument is designed with the significant exception of the thermal infrared band, where the ground resolution has been improved from 120 to 60 m. The ETM instrument incorporates a new 15 m panchromatic band, as well as a 9-bit analog to digital converter. So that satellite is actually breaking up what it sees into individual cells, sensing the amount of light that's being reflected from each of those, and then recording that. It's assembled into stripes, let's say, which then turn into a grid, which then we can assign colors to and we can able to visually interpret as an actual image. So this is in a near polar orbit, it's not exactly going over the poles, but it's still referred to as a near polar orbit. I like this one, too. It is a record unmatched in quality, detail, coverage, and value. And yep, there's Nelson. Here you tell R to select all files that have the word band in the filename. So this is a satellite that's always over the same location. Feb 1 = day 32. LANDSAT 7 satellite is equipped with Enhanced Thematic Mapper Plus (ETM+), the successor of TM. And there was an enormous amount of damage that was done. So these satellites are in an orbit that's around 700 km. And this is interactive, so we can actually rotate the Earth here, we can zoom in and out. Next, let’s plot an RGB image using Landsat. And how ecologically it's been able to recover from that massive volcanic event. In this case, this is a sensor that senses lightning, and it actually can sense it 500 times per second. STARFM was designed to combine MODIS data with Landsat data to produce synthetic Landsat-like imagery on a daily basis. Then you want to be able to have a fairly high temporal resolution, hopefully, so that you have more chances to be able to find a cloud-free day. The main instrument on board Landsat 7 is the Enhanced Thematic Mapper Plus … This is Anderson Creek fire. It is in a polar, sun-synchronous orbit, meaning it scans across the entire Earth's surface. A regular expression is a sequence of characters that defines a search pattern. These are the Rocky Mountains. So this is before, this is on March 14, 2016. h��Xmo�H�++ݗV:�}��'T]�PZ�j��tV>�ĤI\�.��3k�ℴ�q: �����x��k���3e&�B�2�����`�$�%��D1m �h'�n��&� fBr��ŀLa[(%1�Mc��r�XI)i��Ia!�*& ���ɘNH �I�#Ә$l��Υ8���JX֜3�E�� So as the earth is rotating, this is my little PowerPoint animation, is that the ones that are close to the earth are going in more or less a north-south direction around the poles. So this is a great way of being able to visualize how fast that satellite is moving over the earth and how much data is being collected at a given time.

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