Mr. Fahim Ahmad Profile

Fahim Ahmad

at PMAS-Arid Agriculture Univ Rawalpindi

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 16 November 2018 Paper

Mapping of debris-covered glaciers in Astor basin: an object-based image analysis approach

Fahim Ahmad, Muhammad Hasan Ali Baig

Proceedings Volume 10777, 1077704 (2018) https://doi.org/10.1117/12.2324407

KEYWORDS: Earth observing sensors, Landsat, Image segmentation, Image analysis, Associative arrays, Short wave infrared radiation, Satellites, Image quality, Image classification, Image resolution

Read Abstract +

Supraglacial debris essentially hamper the mapping of ice glaciers by remote sensing data. A semi-automatic approach for the mapping of debris covered glaciers in Astor Basin was applied, which combines the inputs from optical satellite data and the digital elevation model (DEM) data. Strong and effective pixel-based band ratios have turned out to be precise for naturally outlining clean glacier ice, however such classifications algorithm exhibit limitations in delineating debriscovered ice because of its spectral resemblance with adjacent landscape. Object based image analysis (OBIA) has risen as another examination strategy inside remote sensing. It gives a system to filter out worthless details and integrate other parts of detail into a single object, although it is also allowing contextual, shape, textural and, hierarchical principles to be used to classify imagery. Supraglacial debris-covered, snow covered glaciers and glaciated ice in Astor Basin were mapped by using Landsat 7,8 imageries gained from 2010 to 2017 and a digital elevation model (DEM) acquired from Advanced Land Observing Satellite (ALOS).The methods offered recognized their usefulness using freely accessible reasonable resolution Landsat OLI and ALOS data. Yet, the increasing availability of high resolution imageries, improved quality and the latest digital terrain data grip the potential of enhanced image segmentation and classification from OBIA approaches.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years