What is it about?
Remote sensing images are useful for monitoring the spatial distribution and growth of urban built-up areas because they can provide timely and synoptic views of urban land cover. This study proposes a new built-up index for the rapid extraction of built-up land from satellite imagery.
Featured Image
Why is it important?
The newly proposed index was compared with the following indices used in the literature: the normalized difference built-up index, the built-up index, the index-based built-up index and the maximum likelihood classifier. The results, which have an accuracy of 95%, show that the proposed index can significantly enhance built-up land features while effectively suppressing background noise without thresholding, and it is able to serve as a worthwhile alternative for quickly and objectively mapping built-up areas.
Perspectives
I have had long standing national and international collaborations. This article also lead to remote sensing scientific community contacting me and ultimately to a greater involvement in remote sensing imagery applications in various field.
Fatiha Benkouider
Université Amar Télidji de Laghouat
Read the Original
This page is a summary of: New and Improved Built-Up Index Using SPOT Imagery: Application to an Arid Zone (Laghouat and M’Sila, Algeria), Journal of the Indian Society of Remote Sensing, November 2018, Springer Science + Business Media,
DOI: 10.1007/s12524-018-0895-7.
You can read the full text:
Contributors
The following have contributed to this page
