View the world with Landsat imagery

To discover the capabilities of imagery, you'll travel around the world and look through the lenses of several band combinations on the electromagnetic spectrum, including some invisible to the human eye.

Monitor mangroves in the Sundarbans

Your first destination will be the Sundarbans mangrove forest on the border of India and Bangladesh. With Landsat's imagery capabilities, you'll monitor the health of the mangroves in an ecosystem highly susceptible to change.

  1. Open the Esri Landsat app.

    Default Landsat app

    The app opens to the location of Esri headquarters in Redlands, California. Icons on the left side of the image represent the various spectral band combinations you can use to view the imagery. The default band combination is Agriculture, (bands 6, 5, and 2 - or Shortwave Infrared 1, Near Infrared, and Blue) which highlights heathy agriculture vegetation in bright green.

    Note:

    To learn more about the Esri Landsat app, click About in the lower left corner of the app.

  2. In the toolbar, click Natural Color.

    Natural color band combination

    With this new Natural Color band combination (bands 2, 3, and 4-or Blue, Green, and Red) , you can see that the imagery is dominated by earth-colored tones. Together the Blue, Green, and Red bands make up the spectrum of light visible to the human eye. Combining these three bands approximates how imagery would look to a person.

    You'll continue to explore the power of spectral band combinations by navigating to the Sundarbans mangrove forest.

  3. In the lower left of the app, click the Bookmarks button.

    Bookmarks button

    A window opens, containing a list of bookmarks to interesting locations around the world.

  4. In the Bookmarks window, scroll down and click Sundarbans.

    Sundarbans bookmark

    The map extent changes from Redlands to the Sundarbans. The entire area you now see is part of the Sundarbans mangrove region.

    Note:

    Since satellites can't capture the entire world in one picture, they take multiple pictures which are then stitched together into a patchwork image called a mosaic. In the current extent, you can see the diagonal line that divides two different images.

  5. Close the Bookmarks window.

    Just from observing the area with the default Natural Color band combination, you can see a clear distinction between the heavily-forested Sundarbans and the highly urbanized Kolkata to the northwest. Much of the original mangrove forest was cut down, but what remains is protected by the Indian and Bangladeshi governments.

  6. In the upper left corner of the map viewer, click Zoom Out button a few times, until you see the label for the city of Kolkota in the northwest.

    Zoom in button

    Just from observing the area with the default Natural Color band combination, you can see a clear distinction between the heavily forested Sundarbans region and the highly urbanized Kolkata to the northwest. Much of the original mangrove forest was cut down, but what remains is protected by the Indian and Bangladeshi governments.

    The Sundarbans zoomed

    To distinguish the mangrove vegetation more clearly, you'll use the Color Infrared band combination, which combines wavelengths on the light spectrum reflected by vegetation (bands 5, 4, and 3, or Near Infrared, Red, and Green). Healthy vegetation appears bright red in Color Infrared imagery.

  7. On the list of band combinations to the left of the map viewer, click the Color Infrared band combination.

    Color Infrared band combination

    The mangrove forest now appears bright red, signifying dense, overall healthy vegetation. The water bodies going through the mangrove, devoid of vegetation, but high in sediments, appear turquoise blue. Built-up areas, like the city of Kolkata, appear grayish or beige. Areas with agriculture appears as a lighter shade of red, signifying some vegetation presence, but less dense than in the mangrove.

  8. Zoom in to the heart of the mangrove forest.

    Now you can see the mangrove forest in more detail. Over the broad delta region, the forest is broken up by several rivers and complex tidal waterways. Many of its small islands are accessible only by boat, which hinders on-the-ground observation and intensifies the need for satellite imagery to monitor the forest.

    Healthier vegetation appears brighter red, but some areas appear in a lighter shade of red or even beige. As an analyst, you could identify these areas as potentially less healthy vegetation, and needing further investigation.

  9. Click and drag the map to pan around the Sundarbans area. Look for areas that appear unhealthy or are missing forest cover.

    On the west side of the mangrove you can see a sharp contrast where the protected mangrove area ends: the land in the non-protected area was formerly covered with mangrove forest, but has now been entirely deforested. It shows as mostly gray or light pink, signifying an absence of vegetation.

    Deforested areas of the unprotected mangrove forest

    As an analyst, you could use these differences in color to detect illegal tree logging activity in the protected areas.

    Mangrove forests are highly susceptible to changes in sea level and water salinity, as well as pollution, illegal logging, and other factors. Loss of mangroves would not only compromise the habitat of the diverse species of flora and fauna that live here (including many endangered species, such as the Bengal tiger), but also remove an important shield against monsoons for the neighboring localities. It's important to maintain the health of the forest, and imagery can help do that.

    What is the difference between the Color Infrared band combination and the Agriculture one? Both are good at highlighting healthy vegetation (in bright red for Color Infrared and bright green for Agriculture). Color Infrared is a more common band combination that is available for many types of satellite and aerial imagery. The Agriculture band combination is less common, because it requires not only a Near Infrared (NIR) band but also a Shortwave Infrared (SWIR) one. The presence of the SWIR band makes it better at capturing the soil and vegetation moisture level, and it is also better at penetrating clouds.

Find an oasis in the Takla Makan Desert

Vegetation is not the only thing imagery can monitor. Next, you'll travel to China's Takla Makan Desert and observe moisture levels in the arid locale.

  1. In the lower left corner of the app, click the Bookmarks button. Click the Takla Makan Desert bookmark.

    The map extent changes.

  2. Close the Bookmarks window.

    Takla Makan Desert, China

    The boundaries of the oval-shaped desert are fairly clear. Since the Takla Makan Desert is primarily made up of sand dunes, its surface appears smooth and uniform from above, with few mountains or geological features. While the desert appears dry, you'll find if there are areas of moisture with the Moisture Index.

    Note:

    Landsat imagery is updated on regular intervals. Your images may appear different than the example images due to cloud cover or weather patterns.

  3. To the left of the map viewer, click Moisture Index.

    Moisture Index

    Unlike Color Infrared, which was only a combination of three different spectral bands, the Moisture Index is a calculation that adds and divides the values of various bands to find moisture-rich areas. As such, it's not showing visible moisture (the blue areas in the above image are not bodies of water, for instance), but rather highlighting areas where moisture is likely to be. In fact, the Moisture Index uses many of the same bands as the Color Infrared band combination you used in the Sundarbans, as vegetation cover tends to coincide with moisture.

    The Moisture Index reveals moisture-rich areas in blue tones. This is not about highlighting water bodies, like rivers and lakes. Rather, that index is most helpful to distinguish high-moisture land from desertic land. The Moisture Index reveals several places in the Takla Makan Desert that aren't as dry as they seem with Natural Color. You'll ignore the darkest navy blue patches at the periphery, as they correspond to clouds (those clouds were previously showing in white in the Natural Color view). Instead, you'll take a closer look at some of the medium blue patches, which signal actual ground-level moisture.

  4. Zoom to the area of moisture on the left side of the desert, outlined in the image below:

    Moisture-rich area

    Tip:

    To zoom to a specific extent, hold the Shift key and draw a box around the area you want to zoom to.

    You zoom to a place labeled on the map as Shache.

    Shache (Yarkant)

    Shache, also known as Yarkant, is an oasis settlement fed by a river that runs down the nearby mountains. The Moisture Index shows that this area is abundant in moisture, but does not reveal what that moisture is being used for.

    To reveal what the moisture in the Shache area is being used for, you'll use the Agriculture spectral band combination.

  5. In the toolbar, click the Agriculture band combination. Zoom in once or twice, until your view is similar to the one in the image below. .

    Agriculture band combination

    The Agriculture band combination highlights agriculture in bright green. Most of the moisture-rich area you saw when you used the Moisture Index coincides with the agriculture you see using the Agriculture band. You can also see the location of the river that irrigates this valley.

    It's important to be judicious when making visual analysis of satellite imagery. The Moisture Index indicated some areas of the desert as moisture-rich due to cloud cover rather than agriculture on the ground. Additionally, the Moisture Index may have missed areas with plentiful groundwater that had not been tapped for agriculture. When done properly, interpretation of satellite imagery can uncover truths about the world, but it is important to understand the limitations of imagery as well.

See submerged islands in the Maldives

Landsat imagery can see under water to a limited degree, creating images of shallow seafloor. To explore this capability, you'll travel to the Maldives, a small island nation off the coast of India. The Maldives is made up of over a thousand small, low-lying islands. So low, in fact, that the entire nation is in danger of disappearing beneath the ocean if sea levels continue to rise. With the bathymetric imagery capabilities of Landsat, you'll see the submerged islands—and the ones in danger of being submerged.

  1. In the lower left corner of the app, click Bookmarks. Click the Maldives bookmark.
  2. Close the Bookmarks window.

    The Maldives

    The imagery shows many small islands. The islands are formed out of coral and grouped into ring-shaped clusters called atolls. The Maldives bookmark has automatically made the Bathymetric band combination active. The Bathymetric band combination (bands 4, 3, and 1, or Red, Green, and Coastal) emphasizes underwater features. At the default extent, however, it's hard to tell what's underwater and what isn't.

  3. Zoom to the area labeled on the map as Malé, outlined in the following image:

    Malé (Maale)

    Malé (alternatively spelled Maale) is the capital and main city of the Maldives. After you zoom, you may be able to see built-up urban environments on some of the islands. If not, you can zoom in further.

  4. Pan and zoom to the two islands directly west of Malé.

    Villingili and Gulhifalhu islands

    The smaller island to the right is Villingili, while the larger island to the left is Gulhifalhu. Villingili is a resort island, while Gulhifalhu is an uninhabited and partially submerged reef. The whiter portion on the left end of Gulhifalhu remains above water, while the blue side of the island is submerged. From this image, you can see the difference between features that are above and below water. Next, you'll explore islands that have been completely submerged.

  5. Pan north from Malé to see a large number of submerged and partially-submerged islands.

    Submerged islands

    With Landsat imagery, you can monitor how sea level rise affects these low-lying islands. Although more mathematical measurements of sea level rise would be a more exact indicator, satellite imagery can paint a persuasive and compelling picture of the real situation on the ground (or in the water). Islands are sinking worldwide due to recent sea level rise; eventually, low-lying island nations like the Maldives may become uninhabitable.

Track development on the Suez Canal

Until now, you've explored imagery that is a snapshot of a single instant. But what if you wanted to track trends over time? What if you wanted to see how mangrove health today compared to ten years ago, or see if some of the submerged islands in the Maldives were above water in the past? The first Landsat satellite was launched in 1972, meaning that more than forty years of Landsat imagery is available for comparison. While older satellites were not equipped with all of the capabilities of later satellites, including the ability to see certain bands, their imagery can still be important for seeing how the world has changed. For now, you'll take a look at something that changed only in the past few years: construction on the Suez Canal in Egypt to expand its traffic capacity.

  1. In the lower left corner of the app, click Bookmarks. Click the Suez Canal bookmark.
  2. Close the Bookmarks window.

    Suez Canal, Egypt

    The map shows a portion of the Suez Canal in the Agriculture band combination. Vegetation is shown in green, and water in black or dark blue. That segment of the canal was extended in 2014, and there are now two canals that run parallel to each other. The canal on the left is the original Suez Canal, opened in 1869. The canal on the right is the addition.

  3. On the lower left of the app, click the Time button.

    Time button

    The Time Line slider appears. The Time Line slider shows all available imagery from as far back in time as Landsat satellites captured imagery of this area, and it allows you to filter the imagery based on cloud cover or seasonality. The oldest image of this area, on the left of the timeline, is from September 19, 1984. Since Landsat imagery is updated periodically, the most recent image may be different from the example image.

    Time Line

    Tip:

    You can click and drag the Time Line to move it anywhere in the app.

  4. For Cloud Filter, keep 10% Cloud.

    The Cloud Filter allows you to choose how much cloud cover is acceptable when searching for imagery. In this case, any imagery with more than 10 percent cloud cover will be excluded.

  5. For Season Filter, keep All.

    The Season Filter parameter allows you to choose a specific season, such as spring or summer. For instance, when monitoring the evolution of a forested area over time, it can be useful to look at it only at summer dates, when the tree leaves are on.

  6. Click the left side of the Time Line, above the date to view the oldest imagery from 1984. Pan the map to better see the canal.

    Suez Canal in 2000

    In the year 1984, no trace of the second canal existed. You'll scroll through the Time Line to watch the second canal's development as it occurred.

  7. On the right side of Time Line, click the plus sign to move to the next image of the area chronologically.
    Note:

    You may move through other dates as the Landsat App shows imagery close by. Continue until you see imagery that covers the same area as the canal.

    The next date with canal imagery is August 23, 2006, still long before the second canal's construction.

  8. Continue clicking the plus sign until you reach the autumn of 2014.

    Suez Canal in 2014

    Although faint, you can see the foundation of the second canal to the right of the first.

  9. Continue clicking the plus sign to observe the canal's development over time.

    By when does the canal appear to be completed? How long did its construction take? By accessing the deep compendium of Landsat imagery, you can answer these questions as well as other change-related questions across the world. Landsat imagery can track sea-ice extent, lake water-level fluctuation, and urban development. It can also monitor seasonal changes, such as crop cycles and vegetation bloom. When combined with spectral band combinations, it increases the potential for imagery analysis even further.

  10. When you are finished exploring, close the Time Line.

Create your own spectral view

You're not limited to using the preconfigured spectral band combinations. You can also build your own band combination in order to look at a place of interest to you in a new light.

  1. Use the Find a place search bar at the upper left of the map viewer to navigate to a location of interest to you.
    Tip:

    When using the search bar, type the desired location using the following format: City, State or Region, Country.

    While you are encouraged to use any location in the world, the example images use the default extent of Redlands, California. You can use the home extent by clicking the Home Extent button below the zoom button.

  2. To the left of the map viewer, click the Build button.

    Build button

    The Build Your Own window opens. To create a band combination, you'll input the three bands to be combined. You'll also adjust the stretch and gamma, which changes the contrast and brightness in the image.

    Landsat imagery measures ranges of wavelengths of the electromagnetic spectrum, including some like infrared that are invisible to the human eye. These ranges are called spectral bands. The bands you can combine are described in the following table:

    Number Name What this band shows best

    1

    Coastal

    Shallow water, fine dust particles

    2

    Blue

    Deep water, atmosphere

    3

    Green

    Vegetation

    4

    Red

    Manmade objects, soil, vegetation

    5

    Near Infrared (NIR)

    Shorelines, vegetation

    6

    Shortwave Infrared (SWIR) 1

    Cloud penetration, soil and vegetation moisture

    7

    Shortwave Infrared (SWIR) 2

    Improved cloud penetration, soil and vegetation moisture

    8

    Cirrus

    Cirrus clouds

    Bands 2, 3, and 4 (Blue, Green, and Red) make up the spectrum of light visible to the human eye. The Natural Color band combination, which your imagery currently uses, combines these three bands to approximate how imagery would look to a person. So what bands should your combination use? It depends on what you want to see. For instance, if you wanted to emphasize vegetation, you might use the Near Infrared, Red, and Green bands—which happen to be the bands that make up the Color Infrared combination you used in the Sundarbans.

  3. Set the first band to NIR(5), the second band to Red(4), and the third band to Green(3). Click Apply.

    Build the Color Infrared band combination

    The imagery highlights vegetation as red, just as in the Color Infrared band combination. The order of the bands is also important, however. Because the human eye can only see the red, green, and blue ranges, those three bands (or channels) are the only ones that can be used to represent any spectral band combination. So, as you choose any three Landsat bands for your new combination, the first one will always be displayed through the Red channel, the second one through the Green channel, and the third one through the Blue channel.

  4. Set the first band to Green(3), the second band to Red(4), and the third band to NIR(5). Click Apply.

    Switch the band order

    The same features (vegetation) are emphasized, but they are emphasized with blue instead of red. In general, the bands used determine what kinds of features are shown more clearly, while the order of the bands determines the color. Next, you'll try a completely new set of bands.

  5. Using the table above as a guide, put in your own combination of bands and click Apply.

    What features are emphasized in the image? Are these the same features you would expect to see emphasized based on the bands you chose? If you reorder the bands, how does the color change?

  6. Try as many band combinations as you like. Adjust the stretch and gamma to see how the image brightness and contrast changes.

    With the ability to make all sorts of band combinations, look at any location in the world, and tap into images extending back many years, the possibilities of Landsat imagery seem infinite.

  7. Close the Build Your Own window.

Explore more locations

The Landsat app comes with several more bookmarked locations from around the world. These locations display dramatic or unique landscapes viewed through particular band combinations that highlight each location's most intriguing features. The remaining bookmarks include:

  • Cambridge Gulf, Australia
  • Eye of the Sahara, Mauritania
  • Gosses Bluff, Australia
  • Exumas, the Bahamas
  • Beijing, China
  • Mexico City, Mexico
  • Central Saudi Arabia
  • Bahr al Milh, Iraq
  • Bay of Gibraltar, the United Kingdom
  • Lake Chilwa, Malawi
  • Cuesta de Viento Reservoir
  • Andasol Solar Power Station, Spain
  • Cubbie Station, Australia
  • Dubai, the United Arab Emirates
  • Chilean volcanoes

This lesson won't take you through each bookmark, but you can discover them on your own or navigate to other areas around the world you may want to explore with spectral imagery. What can you find using the app?

You can find more lessons in the Learn ArcGIS Lesson Gallery.