View allAll Photos Tagged RemoteSensing,
Reference: APAAME_20241119_FB-0531
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20240304_BT-0400
Photographer: Bashar Tabbah
MAP&LENS
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Investigating Glacier Response to Climate Variability using Google Earth Engine
Supervisor: Dr. Cheryl Rogers
Theme: Environmental
Climate change remains a critical global issue, posing significant challenges for diverse ecosystems, including impacting the cryosphere. The cryosphere plays a vital role in Earth's ecosystem, making it crucial for us to understand and monitor its changes to address the complexities of our rapidly changing planet. Glaciers are a crucial component of the cryosphere, serving as essential indicators of climate change and contributing significantly to global hydrological cycles. Understanding the relationship between meteorological factors and glacier dynamics is important for predicting future changes in these ecosystems.
Recent advancements in remote sensing technologies, along with powerful computational tools, have transformed our capacity to observe and study environmental changes on a large scale. Google Earth Engine (GEE) is a powerful cloud computing platform that harnesses petabytes of analysis-ready data for spatial analysis. This research focuses on using the Google Earth Engine platform to explore the potential of assessing climate impacts on glacier dynamics. By leveraging a combination of satellite imagery and meteorological datasets available within the platform, we aim to understand the meteorological factors driving glacier advancement and retreat.
Reference: APAAME_20221106_FB-0007
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221103_RHB-0789
Photographer: Robert Bewley
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Reference: APAAME_20221106_SAlK-0004
Photographer: Sufyan Al Karaimeh
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
"The SDG Indicator 7.1.1: Access to Electricity, 2023 Release data set is part of the Sustainable Development Goal Indicators (SDGI) collection. It measures the proportion of the population with access to electricity for a given statistical area. The indicator was computed as the proportion of the WorldPop gridded population located within illuminated areas as defined by annual Visible Infrared Imaging Radiometer Suite (VIIRS) Nightime Lights Version 2 (VNL V2) data. This map represents the results for 46,069 subnational level 2 units across 206 countries."
Reference: APAAME_20240304_BT-0159
Photographer: Bashar Tabbah
MAP&LENS
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
Dr. Pinki Mondal, Senior Research Associate at the Center for International Earth Science Information Network (CIESIN), Earth Institute, Columbia University on how she has been using satellite images from the past 27 years to understand changes in mangroves along the coast of Sierra Leone in west Africa. She also shared how these geospatial techniques can be used to estimate current mangrove extents in India.
Reference: APAAME_20241119_FB-0524
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works
The European Space Agency's CryoSat 2 radar altimeter is one of the artificial satellites used to study the changing Cryosphere - in particular, sea-ice, glaciers and ice caps.
Reference: APAAME_20240305_FB-0005
Photographer: Firas Bqa'in
Credit: APAAME
Copyright: Creative Commons Attribution-Noncommercial-NoDerivative Works