River Disputes. India and Neighbouring Countries

1. Indus River Dispute:

- Issue: Disputes between India and Pakistan over the sharing of the Indus River waters.

- Reason: Historical conflicts and the Indus Water Treaty's limitations have led to disagreements on water distribution.

2. Ganges-Brahmaputra River Basin:

- Issue: Water-sharing disputes between India and Bangladesh.

- Reason: Varied monsoon patterns and increasing demand for water resources contribute to conflicts over the Ganges and Brahmaputra rivers.

3. Teesta River Dispute:

- Issue: Contentious water-sharing agreement between India and Bangladesh.

- Reason: Divergent interests and the absence of a comprehensive water-sharing treaty lead to disagreements, impacting both countries.

4. Yamuna River Pollution:

- Issue: High pollution levels in the Yamuna River affecting both India and downstream Pakistan.

- Reason: Urbanization, industrial discharge, and inadequate waste management contribute to water pollution.

5. Bhagirathi-Hooghly River System:

- Issue: Changes in river flow affecting India and Bangladesh.

- Reason: Dams and diversions alter the natural flow, impacting agriculture and ecosystems downstream.

6. Brahmaputra River and China:

- Issue: Concerns over China's dam-building activities on the Brahmaputra River.

- Reason: China's construction of dams upstream raises apprehensions about water flow control and its potential impact on downstream countries, including India and Bangladesh.

Origin Details:

- Indus River:

- Originates in Tibet and flows through India and Pakistan.

- Ganges River:

- Originates in the Gangotri Glacier in the Indian state of Uttarakhand.

- Brahmaputra River:

- Originates in Tibet, where it is known as the Yarlung Tsangpo, and flows through China before entering India and Bangladesh.

- Teesta River:

- Originates in Sikkim, India, and flows through the Indian states of West Bengal and Assam before entering Bangladesh.

- Yamuna River:

- Originates from the Yamunotri Glacier in the Himalayas and flows through several northern Indian states.

- Bhagirathi-Hooghly River:

- Originates at the Gangotri Glacier and is a major distributary of the Ganges River.

Comments

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl...

Platforms in Remote Sensing

In remote sensing, a platform is the physical structure or vehicle that carries a sensor (camera, scanner, radar, etc.) to observe and collect information about the Earth's surface. Platforms are classified mainly by their altitude and mobility : Ground-Based Platforms Definition : Sensors mounted on the Earth's surface or very close to it. Examples : Tripods, towers, ground vehicles, handheld instruments. Applications : Calibration and validation of satellite data Detailed local studies (e.g., soil properties, vegetation health, air quality) Strength : High spatial detail but limited coverage. Airborne Platforms Definition : Sensors carried by aircraft, balloons, or drones (UAVs). Altitude : A few hundred meters to ~20 km. Examples : Airplanes with multispectral scanners UAVs with high-resolution cameras or LiDAR High-altitude balloons (stratospheric platforms) Applications : Local-to-regional mapping ...

Scattering

History of GIS

The history of Geographic Information Systems (GIS) is rooted in early efforts to understand spatial relationships and patterns, long before the advent of digital computers. While modern GIS emerged in the mid-20th century with advances in computing, its conceptual foundations lie in cartography, spatial analysis, and thematic mapping. Early Roots of Spatial Analysis (Pre-1960s) One of the earliest documented applications of spatial analysis dates back to 1832 , when Charles Picquet , a French geographer and cartographer, produced a cholera mortality map of Paris. In his report Rapport sur la marche et les effets du choléra dans Paris et le département de la Seine , Picquet used graduated color shading to represent cholera deaths per 1,000 inhabitants across 48 districts. This work is widely regarded as an early example of choropleth mapping and thematic cartography applied to epidemiology. A landmark moment in the history of spatial analysis occurred in 1854 , when John Snow inv...

GIS data continuous discrete ordinal interval ratio

In Geographic Information Systems (GIS) , data is categorized based on its nature (discrete or continuous) and its measurement scale (nominal, ordinal, interval, or ratio). These distinctions influence how the data is collected, analyzed, and visualized. Let's break down these categories with concepts, terminologies, and examples: 1. Discrete Data Discrete data is obtained by counting distinct items or entities. Values are finite and cannot be infinitely subdivided. Characteristics : Represent distinct objects or occurrences. Commonly represented as vector data (points, lines, polygons). Values within a range are whole numbers or categories. Examples : Number of People : Counting individuals on a train or in a hospital. Building Types : Categorizing buildings as residential, commercial, or industrial. Tree Count : Number of trees in a specific area. 2. Continuous Data Continuous data is obtained by measuring phenomena that can take any value within a range...

Vineesh V, Geography

Search This Blog