Center for Remote Sensing
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URI: http://hdl.handle.net/2144/23186
The Center was established in 1986 as a facility for scientific research in the fields of archaeology, geography and geology.
We use satellite images and other data from airborne and ground sensors to study the Earth and its resources, particularly groundwater.
This includes the monitoring of environmental changes due to both natural processes and human activities.
In 1997, the Center was selected by NASA as a “Center of Excellence in Remote Sensing.”
Visit the Center's website for further information
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Detecting demolished buildings after a natural hazard using high resolution RGB satellite imagery and modified U-Net convolutional neural networks
Collapsed buildings are usually linked with the highest number of human casualties reported after a natural disaster; therefore, quickly finding collapsed buildings can expedite rescue operations and save human lives. ... -
Mapping the groundwater potentiality of West Qena area, Egypt, using integrated remote sensing and hydro-geophysical techniques
(MDPI AG, 2020-05-14)The integrated use of remote sensing imagery and hydro-geophysical field surveys is a well-established approach to map the hydrogeological framework, and thus explore and evaluate the groundwater potentiality of desert ... -
Diffused matrix format: a new storage and processing format for airborne hyperspectral sensor images
(Molecular Diversity Preservation International, 2010)At present, hyperspectral images are mainly obtained with airborne sensors that are subject to turbulences while the spectrometer is acquiring the data. Therefore, geometric corrections are required to produce ... -
Spatiotemporal modeling of schistosomiasis in Ghana: linking remote sensing data to infectious disease
(AMER SOC TROP MED & HYGIENE, 2017-11-01)More than 90% of the worldwide schistosomiasis burden falls on sub-Saharan Africa. Control efforts are often based on infrequent, small-scale health surveys, which are expensive and logistically difficult to conduct. The ... -
Linking satellite remote sensing based environmental predictors to disease: an application to the spatiotemporal modelling of schistosomiasis in Ghana
(2016)90% of the worldwide schistosomiasis burden falls on sub-Saharan Africa. Control efforts are often based on infrequent, small-scale health surveys, which are expensive and logistically difficult to conduct. Use of satellite ... -
Using high resolution optical imagery to detect earthquake-induced liquefaction: the 2011 Christchurch earthquake
Using automated supervised methods with satellite and aerial imageries for liquefaction mapping is a promising step in providing detailed and region-scale maps of liquefaction extent immediately after an earthquake. The ... -
Advances in mapping ice-free surfaces within the Northern Antarctic peninsula region using polarimetric RADARSAT-2 data
(IEEE, 2018-01-01)Ice-free areas within the Northern Antarctic Peninsula region are of interest for studying changes occurring to surface covers, including those related to glacial coverage, raised beach deposits and periglacial processes ... -
Damage mapping after the 2017 Puebla Earthquake in Mexico using high-resolution Alos2 Palsar2 data
(IEEE, 2018-07)On September 19, 2017, the Mw7.1 Puebla Earthquake caused significant destruction in several cities in central Mexico. In this paper, two pre- and one post-event ALOS2-PALSAR2 data were used to detect the damaged area ... -
The use of remotely sensed environmental parameters for spatial and temporal schistosomiasis prediction across climate zones in Ghana
(2019-06-28)Schistosomiasis control in sub-Saharan Africa is enacted primarily through preventive chemotherapy. Predictive models can play an important role in filling knowledge gaps in the distribution of the disease and help guide ... -
Assessing water availability in Mediterranean regions affected by water conflicts through MODIS data time series analysis
Water scarcity is a widespread problem in arid and semi-arid regions such as the western Mediterranean coastal areas. The irregularity of the precipitation generates frequent droughts that exacerbate the conflicts among ...
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