Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data

Abdulrahim Al Maskari; Mohammed M. Bait-Suwailam

doi:10.1109/AGERS53903.2021.9617400

Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data

Abdulrahim Al Maskari, Mohammed M. Bait-Suwailam

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, we present numerical assessments of vegetation land cover that is located nearby recharge dams in Oman. The study focuses on the use of remote sensing through retrieved imagery data using the Operational Line Imager (OLI) sensor of Landsat-Among many other popular water dams in the Sultanate, this numerical study investigates the impact of two nearby dams on surroundings vegetation land cover. Based on the numerical analysis over the period between 2013 and 2020, many interesting features of vegetation land cover were observed, including vegetation land and dams' water surface areas. An interesting observation from imagery data of the studied water dams is that such dams have been utilized well for the suggested study period.

Original language	English
Title of host publication	2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	33-37
Number of pages	5
ISBN (Electronic)	9781665428071
DOIs	https://doi.org/10.1109/AGERS53903.2021.9617400
Publication status	Published - 2021
Event	4th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Jakarta, Indonesia Duration: Sept 29 2021 → Sept 30 2021

Publication series

Name	2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding

Conference

Conference	4th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021
Country/Territory	Indonesia
City	Jakarta
Period	9/29/21 → 9/30/21

Keywords

Landsat-8
NDVI index
OLI sensor
remote sensing
vegetation land cover

ASJC Scopus subject areas

Computers in Earth Sciences
Electrical and Electronic Engineering
Instrumentation
Geography, Planning and Development
Earth and Planetary Sciences (miscellaneous)

Access to Document

10.1109/AGERS53903.2021.9617400

Cite this

Al Maskari, A., & Bait-Suwailam, M. M. (2021). Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data. In 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding (pp. 33-37). (2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AGERS53903.2021.9617400

Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data. / Al Maskari, Abdulrahim; Bait-Suwailam, Mohammed M.
2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2021. p. 33-37 (2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al Maskari, A & Bait-Suwailam, MM 2021, Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data. in 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding. 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 33-37, 4th IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021, Jakarta, Indonesia, 9/29/21. https://doi.org/10.1109/AGERS53903.2021.9617400

Al Maskari A, Bait-Suwailam MM. Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data. In 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2021. p. 33-37. (2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding). doi: 10.1109/AGERS53903.2021.9617400

Al Maskari, Abdulrahim ; Bait-Suwailam, Mohammed M. / Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data. 2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 33-37 (2021 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology, AGERS 2021 - Proceeding).

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abstract = "In this paper, we present numerical assessments of vegetation land cover that is located nearby recharge dams in Oman. The study focuses on the use of remote sensing through retrieved imagery data using the Operational Line Imager (OLI) sensor of Landsat-Among many other popular water dams in the Sultanate, this numerical study investigates the impact of two nearby dams on surroundings vegetation land cover. Based on the numerical analysis over the period between 2013 and 2020, many interesting features of vegetation land cover were observed, including vegetation land and dams' water surface areas. An interesting observation from imagery data of the studied water dams is that such dams have been utilized well for the suggested study period.",

keywords = "Landsat-8, NDVI index, OLI sensor, remote sensing, vegetation land cover",

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AB - In this paper, we present numerical assessments of vegetation land cover that is located nearby recharge dams in Oman. The study focuses on the use of remote sensing through retrieved imagery data using the Operational Line Imager (OLI) sensor of Landsat-Among many other popular water dams in the Sultanate, this numerical study investigates the impact of two nearby dams on surroundings vegetation land cover. Based on the numerical analysis over the period between 2013 and 2020, many interesting features of vegetation land cover were observed, including vegetation land and dams' water surface areas. An interesting observation from imagery data of the studied water dams is that such dams have been utilized well for the suggested study period.

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Numerical Analysis of Vegetation Land Cover Nearby Water Dams in Oman Using Satellite Remote Sensing Data

Abstract

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Keywords

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