Skip to main content

AICTE has approved for the inclusion of Geospatial subject in GATE and NET examination







Ministry of Science & Technology
AICTE approves inclusion of Geospatial as a subject in GATE and NET exam
Posted On: 23 SEP 2020 2:07PM by PIB Delhi
Students competing for the popular National Eligibility Test (NET) for Junior Research Fellowship (JRF) and lectureship in Indian universities and colleges, including IITs and NITs and Graduate Aptitude Test in Engineering (GATE) for JRF in CSIR laboratories, can now opt for Geospatial as a subject.

 

The All India Council of Technical Education (AICTE) has approved for the inclusion of Geospatial subject in GATE and NET examination on the recommendation of the National Geospatial Task Force Report 2013 under the Chairmanship of former ISRO Chairman, Dr. K. Kasturirangan.

 

Department of Science and Technology (DST) as an organisation and many professionals have highlighted the need for Geospatial subject especially in GATE and NET examination at different forums.

 

Dr. K. C. Tiwari (Retd. Col), Department of Science and Technology's Geospatial Chair Professor, Centre of Geoinformatics, Delhi Technological University, had made sincere efforts for inclusion of Geospatial Subject in the GATE and NET examination, and the decision was an outcome of DST's insistence and his hard work.

 

This will benefit the increasing number of students who are taking up geospatial as a subject at different levels and help in the evolution of Geospatial Ecosystem in the country

 

The Natural Resources Data Management System (NRDMS) under DST is an interdisciplinary research programme which promoted R&D in emerging areas of geospatial science, technology, and its applications to area-specific problems. Over the years, it has successfully demonstrated utilities of geospatial technologies in decision making and developed capacity for geospatial data and information management at state, district, and local levels at pilot scale.

 

Now, it is evolving into National Geospatial Programmeforcatalyzing the national geospatial ecosystem and promoting geospatial science and technology solutions, capacity building, entrepreneurship, and international cooperation for sustainable sociology-economic development at all levels of governance and also stressing on including geospatial subject at different levels.

 

"Geospatial science and technology is a rapidly evolving subject that forms the backbone of a plethora of planning, development and governance activities with unprecedented opportunities both in the government and private sectors. Swamitva, a recent scheme launched by the Prime Minister is a good example to map rural inhabited lands using drones and latest survey methods. The scheme among other things will streamline planning, revenue collection and property rights and thus have a huge positive impact on securing loans by the owners and dispute resolution related to properties," said Prof Ashutosh Sharma, Secretary, DST.

 

 

*****

NB/KGS/(DST Media Cell)





Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://www.facebook.com/Applied.Geography
http://geogisgeo.blogspot.com

Comments

Popular posts from this blog

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...

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 cholĂ©ra dans Paris et le dĂ©partement 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...

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...

GIS: Real World and Representations - Modeling and Maps

Geographic Information Systems (GIS) serve as a bridge between the real world and digital representations of geographic phenomena. These representations allow users to store, analyze, and visualize spatial data for informed decision-making. Two key aspects of GIS in this context are modeling and maps , both of which are used to represent real-world geographic features and phenomena in a structured, analyzable format. Let's delve into these concepts, terminologies, and examples in detail. 1. Real World and Representations in GIS Concept: The real world comprises physical, tangible phenomena, such as landforms, rivers, cities, and infrastructure, as well as more abstract elements like weather patterns, population densities, and traffic flow. GIS allows us to represent these real-world phenomena digitally, enabling spatial analysis, decision-making, and visualization. The representation of the real world in GIS is achieved through various models and maps , which simplify...

Representation of Spatial and Temporal Relationships

In GIS, spatial and temporal relationships allow the integration of location (the "where") and time (the "when") to analyze phenomena across space and time. This combination is fundamental to studying dynamic processes such as urban growth, land-use changes, or natural disasters. Key Concepts and Terminologies Geographic Coordinates : Define the position of features on Earth using latitude, longitude, or other coordinate systems. Example: A building's location can be represented as (11.6994° N, 76.0773° E). Timestamp : Represents the temporal aspect of data, such as the date or time a phenomenon was observed. Example: A landslide occurrence recorded on 30/07/2024 . Spatial and Temporal Relationships : Describes how features relate in space and time. These relationships can be: Spatial : Topological (e.g., "intersects"), directional (e.g., "north of"), or proximity-based (e.g., "near"). Temporal : Sequential (e....