Skip to main content

Slowly Flooding History. Landsat #NASA #USGS #Earth

Slowly Flooding History

One of the oldest continuously inhabited settlements in the world, Hasankeyf, has been home to more than 20 cultures over the past 12,000 years. Assyrians carved caves into the surrounding limestone cliffs. Romans built a fortress to monitor crop and livestock transportation. Travelers on the Silk Road often stopped in the area to trade during the Middle Ages.

Remnants of past cultures have been preserved for thousands of years in Hasankeyf, which was absorbed by the Ottoman Empire in the 1500s and has remained part of Turkey ever since. But those artifacts—thousands of human-made caves and hundreds of well-preserved medieval monuments—may soon be underwater. A new dam and reservoir threatens to drown the city.

Located about 56 kilometers (35 miles) downstream of Hasankeyf, the 138-meter (453-foot) tall Ilisu Dam is expected to provide 1,200 megawatts of electricity (around 1.5 percent of Turkey's total power-generating capacity). The dam is part of Turkey's Southeastern Anatolia Project, which consists of 19 hydroelectric plants and 22 dams on the Tigris and Euphrates Rivers. The effort is designed to help promote economic growth and energy independence for the country. But there will also be a cost.

Holding back water from the Tigris River, Ilisu Dam will create a reservoir covering 190 square kilometers (121 square miles) of land. When near capacity, the reservoir will almost completely submerge Hasankeyf and displace more than 80,000 people. Additionally, the dam will decrease water supplies to Syria and Iraq.

The natural-color images above show Hasankeyf on February 22, 2019 (left) and March 12, 2020 (right). The images below show the area near Ilisu Dam (located further downstream) on the same dates. The reservoir began filling in July 2019. These images were acquired by the Operational Land Imager (OLI) on Landsat 8.

As of February 2020, water levels behind the dam were rising at a rate of about 15 centimeters (6 inches) per day. The reservoir is only about one quarter full and is expected to rise another 50 meters (160 feet) in upcoming months—enough to submerge thousands of nearby caves and nearly all of the Hasankeyf fortress previously occupied by the Romans, Mongols, and Seljuk Turks.

Some historical structures (including a tomb, mosque, and ancient bath) and all residents have been relocated to a new town on a nearby hill called New Hasankeyf (or Yeni Hasankeyf). Once the reservoir is full, a ferry system will shuttle people between the new town and what remains above water in Hasankeyf.

NASA Earth Observatory images by Lauren Dauphin, using Landsat data from the U.S. Geological Survey.

Read More at:


and/or


#Landsat #NASA #USGS #Earth





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

Comments

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...

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...

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...

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 ...

Scattering

Scattering