Skip to main content

A New Lake—Water Not Lava—On Kilauea. #Landsat #NASA #USGS #Earth

A New Lake—Water Not Lava—On Kilauea

Between 2010 and 2018, a large lava lake bubbled and spattered within Kilauea's summit caldera. Then in May 2018, as part of a broader eruption that poured lava from fissures to the east, the lake swiftly drained and part of the caldera floor collapsed. This left a hole nearly as deep as One World Trade Center.

But that was not all Pele had in store. For about a year, the much-deeper and wider Halema'uma'u crater was relatively quiet. But in July 2019, helicopter pilots began to notice water pooling into a pond in the lowest part of the crater. Water levels have risen steadily ever since. Today, the lake—now with a rusty brown sheen on its surface due to chemical reactions taking place in the water—has an area larger than five football fields combined and a maximum depth of roughly 30 meters (100 feet).

The sequence of satellite images above shows Halema'uma'u crater before the lava lake drained (left), after the caldera floor had collapsed (middle), and after water pooled on the crater floor for nine months (right). The Operational Land Imager (OLI) on Landsat 8 acquired all three natural-color images.

When the lava lake was present, it appeared in the southeast part of Halema'uma'u, though a crust of partially solidified lava on its surface made it appear gray from above. (The circular light gray area with a thin plume of volcanic emissions rising from it marks the location of the lake.) After the caldera collapse, the terrain surrounding the lake changed dramatically, including the formation of a new 140-meter cliff (thin dark line) north of the crater. In the final image, the pond on the summit appears small from Landsat's perspective (30 meters per pixel). The photograph below, taken on April 21, offers a better sense of scale.

The explanation for the new pond is simple. "We have a drill hole a little more than one kilometer south of the crater where we measure the level of the water table," explained Don Swanson, a volcanologist at the U.S. Geological Survey's Hawaiian Volcano Observatory. "We know that the crater floor dropped a little more than 70 meters below the water table in 2018. Any time that you punch a hole below the level of the water table, water is eventually going to come in and fill that hole."

Explaining what the new pond means for the volcano is where the story gets more complicated and interesting. One of the key factors that controls explosive volcanic eruptions is how much water and other gases get caught up within the magma. If magma has a lot of dissolved gases and steam, pressure builds and explosive eruptions can result. If not, lava tends to flow gently from fissures in the ground—as has been the case at Kilauea for the past 200 years.

Calm eruptions are the exception, not the norm. Over the past 2,500 years, Kilauea has erupted explosively about 60 percent of the time, noted Swanson. "We have been misled by how calm it has been. If this was 1720 rather than 2020, then we would we would not have seen a lava flow for more than 200 years, and we may have thought Kilauea was always an explosive volcano."

There are two scenarios that could lead to an explosive eruption. "In one case, magma could rise quickly up the conduit and intersect with the lake," said Swanson. "In the second, the crater floor could collapse and drop all of the water down to a zone where it would be quickly heated into steam."

But that does not mean the next eruption will be explosive. "The next eruption could happen slowly and the water could evaporate," he said. "We do not want to be alarmist, but we also need to point out to the public that there is an increasing possibility of explosive eruptions at Kilauea."

One thing is quite certain: geologists will be closely monitoring Kilauea and its new lake with every tool available, including seismometers, thermal cameras, drones, helicopter surveys, and satellites. "Is the volcano in the process of reverting back to an explosive period that may last for centuries?" said Swanson. "Or is this just a little blip, and we are going to return to quiet lava flows like we had during the 19th and 20th centuries? Only time will tell."

NASA Earth Observatory images by Joshua Stevens, using Landsat data from the U.S. Geological Survey. USGS photo by Matthew Patrick. Story by Adam Voiland.


#Landsat #NASA #USGS #Earth


....


Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://g.page/vineeshvc

Comments

Post a Comment

Popular posts from this blog

Remote Sensing Technology

Remote sensing is a rapidly evolving geospatial technology used to collect information about the Earth's surface and atmosphere without direct physical contact . It involves detecting and measuring electromagnetic radiation (EMR) reflected or emitted from objects using sensors mounted on satellites, aircraft, or drones. Remote sensing systems are fundamentally classified based on (1) the energy source used for illumination and (2) the region of the electromagnetic spectrum utilized for sensing . 1. Types of Remote Sensing Based on Energy Source Remote sensing systems are commonly categorized according to whether the sensor generates its own energy or relies on naturally available radiation . Passive Remote Sensing Principle: Passive remote sensing relies on natural sources of electromagnetic energy , primarily solar radiation reflected from the Earth's surface or thermal radiation emitted by objects. Operation: Most passive sensors operate during daylight when sunlight is av...
Post a Comment
Read more

Spectral Signature vs. Spectral Reflectance Curve

Spectral Signature  A spectral signature is the unique pattern in which an object: absorbs energy reflects energy emits energy across different wavelengths of the electromagnetic spectrum. ✔ Key Points Every natural and man-made object on Earth interacts with sunlight differently. These interactions produce a distinct pattern , just like a "fingerprint". Sensors on satellites record these patterns as digital numbers (DN values) . These patterns help to identify and differentiate objects such as vegetation, soil, water, snow, buildings, minerals, etc. ✔ Examples of Spectral Signatures Healthy vegetation → High reflectance in NIR , strong absorption in red Water → Strong absorption in NIR and SWIR , low reflectance Dry soil → Gradual increase in reflectance from visible to NIR Snow → High reflectance in visible , low in SWIR ✔ Why Spectral Signature Matters It allows: Land cover classification Chan...
Post a Comment
Read more

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology:    - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants.    - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis:    - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis.    - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping:    - Photozincography development allows maps to be split into layers for vegetation, water, etc.    - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography:    - Waldo Tobler's 1959 publication details using computers for cartography.    - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...
Post a Comment
Read more

Model GIS object attribute entity

These concepts explain different ways of organizing, storing, and representing geographic information in a Geographic Information System (GIS) . They include database design models (ER model), data structure models (Object and Attribute models), and spatio-temporal representations that integrate location, entities, and time . Together, they help GIS manage both spatial data (where things are) and descriptive information (what they are and how they change over time) . 1. Object-Based Model (Object-Oriented Data Model) The Object-Based Model treats geographic features as independent objects that combine spatial geometry and descriptive attributes within a single structure. Core Concept: Each geographic feature (such as a building, road, or river ) is represented as a self-contained object that stores both: Geometry – location and shape (point, line, polygon) Attributes – descriptive properties (name, type, length, capacity) Unlike older georelational models , which stored spatial ...
Post a Comment
Read more

Scattering

Scattering 
Post a Comment
Read more