Satellite radar imagery for monitoring inland wetlands in boreal and sub-arctic environments

2007 ◽  
Vol 17 (3) ◽  
pp. 305-317 ◽  
Author(s):  
Annett Bartsch ◽  
Richard A. Kidd ◽  
Carsten Pathe ◽  
Klaus Scipal ◽  
Wolfgang Wagner
Keyword(s):  
Inland Wetlands ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Satellite Radar Imagery

scholarly journals Persistent Scatterer Interferometry of Sentinel-1 time series to detect ground subsidence in the city of Recife, Brazil

2020 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Enton Bedini
Keyword(s):  
Time Series ◽  
Ground Subsidence ◽  
Persistent Scatterer Interferometry ◽  
Persistent Scatterer ◽  
Radar Imagery ◽  
Long Time ◽  
Satellite Radar ◽  
Surrounding Areas ◽  
Satellite Radar Imagery ◽  
The City

Persistent Scatterer Interferometry (PSI) analysis of Sentinel-1 time series was carried out to detect ground subsidence in the city of Recife, Brazil. The dataset consisted of sixty-eight Sentinel-1A Interferometric Wide (IW) Single Look Complex (SLC) images of the time period April 2017 – September 2019. The images were acquired in descending orbit in VV (vertical transmitting, vertical receiving) polarization. The results of the PSI analysis show that in the city of Recife occur several ground subsidence areas. The largest ground subsidence area occurs between the neighborhoods of Afogados, Torrŏes and Cordeiro. The subsidence rates in this area range from few mm/year up to -15 mm/year. This ground subsidence could be a result of groundwater extraction or of subsidence processes in urbanized reclaimed lands. Similar but smaller ground subsidence areas occur in several localities in Recife. In some cases, subsidence with rates of up to -25 mm/year is noted in small zones where new buildings have been constructed in the last decade. This should be due to ground settlement processes, taking a long time due to the particular soils and geology of the locality. This study can serve as a first contribution for further research on the ground subsidence hazard in the city of Recife and the surrounding areas by means of satellite radar imagery.

Some problems of landslide monitoring using satellite radar imagery with different wavelengths: Case study of two landslides in the region of Greater Sochi

2014 ◽  
Vol 50 (4) ◽  
pp. 576-587 ◽  
Author(s):  
V. O. Mikhailov ◽  
E. A. Kiseleva ◽  
E. I. Smol’yaninova ◽  
P. N. Dmitriev ◽  
V. I. Golubev ◽  
...  
Keyword(s):  
Landslide Monitoring ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Satellite Radar Imagery

scholarly journals Outline of vertical displacement of the 2004 and 2005 Sumatra earthquakes revealed by satellite radar imagery

2006 ◽  
Vol 58 (1) ◽  
pp. e1-e4 ◽  
Author(s):  
Mikio Tobita ◽  
Hisashi Suito ◽  
Tetsuro Imakiire ◽  
Min Kato ◽  
Satoshi Fujiwara ◽  
...  
Keyword(s):  
Vertical Displacement ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Satellite Radar Imagery ◽  
Sumatra Earthquakes

scholarly journals A systematic exploration of satellite radar coherence methods for rapid landslide detection

2020 ◽  
Vol 20 (11) ◽  
pp. 3197-3214
Author(s):  
Katy Burrows ◽  
Richard J. Walters ◽  
David Milledge ◽  
Alexander L. Densmore
Keyword(s):  
Emergency Response ◽  
Radar Data ◽  
Detection Methods ◽  
Emergency Responders ◽  
Systematic Exploration ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Satellite Radar Imagery ◽  
Event Image ◽  
Satellite Sensor

Abstract. Emergency responders require information on the distribution of triggered landslides within 2 weeks of an earthquake or storm. Useable satellite radar imagery is acquired within days of any such event worldwide. Recently, several landslide detection methods that use these data have been developed, but testing of these methods has been limited in each case to a single event and satellite sensor. Here we systematically test five methods using ALOS-2 and Sentinel-1 data across four triggering earthquakes. The best-performing method was dependent on the satellite sensor. For three of our four case study events, an initial ALOS-2 image was acquired within 2 weeks, and with these data, co-event coherence loss (CECL) is the best-performing method. Using a single post-event Sentinel-1 image, the best-performing method was the boxcar–sibling (Bx–S) method. We also present three new methods which incorporate a second post-event image. While the waiting time for this second post-event image is disadvantageous for emergency response, these methods perform more consistently and on average 10 % better across event and sensor type than the boxcar–sibling and CECL methods. Thus, our results demonstrate that useful landslide density information can be generated on the timescale of emergency response and allow us to make recommendations on the best method based on the availability and latency of post-event radar data.

Detecting and Managing Coastal Fisheries and Aquaculture Gear Using Satellite Radar Imagery

2008 ◽  
Vol 36 (3) ◽  
pp. 318-329 ◽  
Author(s):  
Brian W. Szuster ◽  
Carrie Steckler ◽  
Bundit Kullavanijaya
Keyword(s):  
Coastal Fisheries ◽  
Radar Imagery ◽  
Satellite Radar ◽  
Satellite Radar Imagery
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