Analysis of imagery interpretability of open sources radar satellite imagery

2019 ◽  
Author(s):  
Anna Fryskowska ◽  
Michal Kedzierski ◽  
Damian Wierzbicki ◽  
Marcin Gorka ◽  
Natalia Berlinska
Keyword(s):  
Satellite Imagery ◽  
Radar Satellite

scholarly journals Satellite imagery, a base line for glacier variation study on James Ross Island, Antarctica

1995 ◽  
Vol 21 ◽  
pp. 291-296 ◽  
Author(s):  
Pedro Skvarca ◽  
Helmut Rott ◽  
Thomas Nagler
Keyword(s):  
Satellite Imagery ◽  
Antarctic Peninsula ◽  
Warming Trend ◽  
Morphological Properties ◽  
Time Interval ◽  
Base Line ◽  
Glacier Variation ◽  
James Ross Island ◽  
Radar Satellite ◽  
Definition Of

Sequential visible and radar satellite imagery is used to document the fluctuations of 39 outlet glaciers on James Ross Island (JRI; 64° S, 58° W), Antarctic Peninsula. The monitoring time interval of 17.4 years extends from late 1975 until early 1993. The study is based on synergistic use of different sensors for monitoring glacier variations. The digitally enhanced Landsat TM images also allowed definition of boundaries between grounded and floating ice within Röhss Bay and detection of ice rumples, resulting in an improved measurement of the areal extent of JRI. In addition to glacier boundaries, the analyzed ERS-1 SAR images provide information on morphological properties of snow and ice. The satellite data show a general glacier retreat since 1975, resulting in clear decrease of overall glacier area on JRI. Of 39 glaciers measured, 33 glaciers retreated in the period 1975–93, 15 of which showed significant retreat in comparison to glacier size. This is in accordance with the pronounced atmospheric-warming trend recorded during the last two decades on the Antarctic Peninsula. The analysis of glacier areas on JRI thus provides a base line for detection of future changes.

scholarly journals SAR data and field surveys combination to update rainfall-induced shallow landslides inventory

2021 ◽  
Author(s):  
Pietro Miele ◽  
Mariano Di Napoli ◽  
Alessandro Novellino ◽  
Domenico Calcaterra ◽  
Jordi Mallorquì ◽  
...  
Keyword(s):  
Satellite Imagery ◽  
Field Investigation ◽  
Google Earth ◽  
Decision Makers ◽  
Campania Region ◽  
Detection Analysis ◽  
Radar Satellite ◽  
Available Information ◽  
The City ◽  
Different Sources

The Campania region has been recurrently hit by severe landslides in volcanoclastic deposits. The city of Naples, and in particular the Camaldoli and Agnano hills, also suffered several landslide crises in weathered volcanoclastic rocks as a consequence of intense rainfalls or wildfires. This work provides an updated landslide database for the suburbs of Naples. The obtained database consists of about 1322 landslides considering available information dated back to 1816, identified thanks to the historical newspaper's examination; 62 landslides were recorded between 2019 and 2020. Furthermore, the achieved database is the result of the standardization of available information from different sources, organized in a completely different way. The newly identified phenomena have been recognized thanks to a combination of optical satellite imagery with Google Earth, Sentinel-1 radar satellite imagery and field investigation. The implemented methodology is based on change detection analysis of satellite imagery by using polarimetric features. Subsequently, output derived from the segmentation procedure of satellite images have been compared with field trip observations. The main purpose of this procedure is to emphasize areas where land cover changes, potentially related to slope failures, occur in the Phegraean Fields, facilitating the following possible phases of mapping and/or field survey. Eventually, this type of information is expected to help decision-makers with land planning and risk assessment.

Mapping vegetated wetlands of Alaska using L-band radar satellite imagery

2009 ◽  
Vol 35 (1) ◽  
pp. 54-72 ◽  
Author(s):  
Jane Whitcomb ◽  
Mahta Moghaddam ◽  
Kyle McDonald ◽  
Josef Kellndorfer ◽  
Erika Podest
Keyword(s):  
Satellite Imagery ◽  
L Band ◽  
Radar Satellite
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