Changes in Antarctic coastline between 1997 and 2016 using RADARSAT and MODIS data

Patel, Shailee; Shah, Esha; James, M. E.

doi:10.1080/01431161.2019.1667550

Cited by 8 publications

(12 citation statements)

References 62 publications

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“…However, this increasing trend may not continue if there are continued changes in climate. Significant changes in the Antarctic coastline have occurred [16,17], with potential negative effects on the marine ecosystem. The collapsing ice shelf and retreating shorelines will reshape the physical environment of the Antarctic coast [17], and these retreating shorelines on Inexpressible Island will likely force the penguins to move inland to areas with higher elevations.…”

Section: Monitoring and Conservation Of Adélie Penguinsmentioning

confidence: 99%

“…Ice-free areas that are close to the open sea or polynya are the key habitats for penguin breeding [1], suggesting that both the amount and quality of these land areas directly affect the abundance and distributions of penguin colonies [15]. As in other regions of the Earth system, escalating climate change over the past decades has substantially reshaped Antarctic coastlines [16,17]. However, few attempts have been made to quantify how retreating shorelines have reshaped the abundance and distribution of Antarctic penguins.…”

Section: Introductionmentioning

confidence: 99%

“…The authors attribute the increase to suitable environmental conditions and high food availability [3,11,13]. Several other initiatives quantify the changes to the shorelines and the surround landscapes [16,17], and these authors have reported physical environment changes along Antarctic coast which may affect penguins. On Inexpressible Island in the southernmost Adélie penguin colony in Victoria Land, over 17,000 pairs of Adélie penguins have been annually detected since 1983 [3,[19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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Retreating Shorelines as an Emerging Threat to Adélie Penguins on Inexpressible Island

Chen

Cheng

et al. 2021

Remote Sensing

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Long-term observation of penguin abundance and distribution may warn of changes in the Antarctic marine ecosystem and provide support for penguin conservation. We conducted an unmanned aerial vehicle (UAV) survey of the Adélie penguin (Pygoscelis adeliae) colony on Inexpressible Island and obtained aerial images with a resolution of 0.07 m in 2018. We estimated penguin abundance and identified the spatial extent of the penguin colony. A total of 24,497 breeding pairs were found on Inexpressible Island within a colony area of 57,507 m2. Based on historical images, the colony area expanded by 30,613 m2 and abundance increased by 4063 pairs between 1983 and 2012. Between 2012 and 2018 penguin abundance further increased by 3314 pairs, although the colony area decreased by 1903 m2. In general, Adélie penguins bred on Inexpressible Island at an elevation <20 m, and >55% of penguins had territories within 150 m of the shoreline. This suggests that penguins prefer to breed in areas with a low elevation and close to the shoreline. We observed a retreat of the shoreline on Inexpressible Island between 1983 and 2018, especially along the northern coast, which may have played a key role in the expansion of the penguin colony on the northern coast. In sum, it appears that retreating shorelines reshaped penguin distribution on the island and may be an emerging risk factor for penguins. These results highlight the importance of remote sensing techniques for monitoring changes in the Antarctic marine ecosystem and providing reliable data for Antarctic penguin conservation.

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Section: Monitoring and Conservation Of Adélie Penguinsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Retreating Shorelines as an Emerging Threat to Adélie Penguins on Inexpressible Island

Chen

Cheng

et al. 2021

Remote Sensing

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“…The case of island coastline change detection also used Landsat images from 1984 to 2009 [16]. Multiple types of remote sensing data were also used in coastline detection [17,18]. Historical remote sensing data provide an excellent chance to track the land cover and use change.…”

Section: Introductionmentioning

confidence: 99%

Tracking of Land Reclamation Activities Using Landsat Observations—An Example in Shanghai and Hangzhou Bay

et al. 2022

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At present, reclamation—changing ocean areas into inland land cover type for human usage—is one of the major methods for expanding land area around the world to alleviate the problem of land shortage. Thus, reclamation activities play an important role in land area extension. In recent years, reclamation projects have been active in eastern China. However, research on how to determine the initiation of reclamation activity remains very limited. Thus, a method of tracking reclamation activities was proposed in this study to analyze the coastline change due to human activities in Shanghai Lingang New City and Hangzhou Bay area. First, the reclamation area was extracted and separated into sea filling and sea enclosing. Next, the “SEDIMENT” signal track method and the “Eight-Neighborhood” morphological method were used to track dissimilar reclamation types. The historical reclamation activities (including start time and end time) over the recent 30 years were also tracked and obtained. Experimental results indicated that the time tracker accuracy of reclamation activity can reach 83.8%. Thus, this study can provide a reference for tracking coastline change.

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“…Those works mentioned above mainly utilize optical satellite imageries from the Landsat series and SPOT satellite. Coastline extraction by using Synthetic Aperture Radar (SAR) is presented by [13]- [22].…”

Section: Introductionmentioning

confidence: 99%

A New Simple Procedure for Extracting Coastline from SAR Image Based on Low Pass Filter and Edge Detection Algorithm

Pujianiki

Parwata

Osawa

2021

LKJITI

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This study proposes a new simple procedure for extracting coastline from Synthetic Aperture Radar (SAR) images by utilizing a low-pass filter and edge detection algorithm. The low-pass filter is used to improve the histogram of the pixel value of the SAR image. It provides better distribution of pixel value and makes it easy to separate between sea and land surfaces. This study provides the processing steps using open-source software, i.e., SNAP SAR processor and QGIS application. This procedure has been tested using dual polarization Sentinel-1 (10x10 meters resolution) and single polarization ALOS-2 (3x3 meters resolution) dataset. The results show that using Sentinel-1 with dual polarization (VH) provides a better result than single polarization (VV). In the ALOS-2 case, only single polarization (HH) is available. However, even using only HH polarization, ALOS-2 provides a good result. In terms of resolution, ALOS-2 provides a better coastline than Sentinel-1 data due to ALOS-2 has better resolution. This procedure is expected to be helpful to detect coastline changes and for coastal area management.

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Changes in Antarctic coastline between 1997 and 2016 using RADARSAT and MODIS data

Cited by 8 publications

References 62 publications

Retreating Shorelines as an Emerging Threat to Adélie Penguins on Inexpressible Island

Retreating Shorelines as an Emerging Threat to Adélie Penguins on Inexpressible Island

Tracking of Land Reclamation Activities Using Landsat Observations—An Example in Shanghai and Hangzhou Bay

A New Simple Procedure for Extracting Coastline from SAR Image Based on Low Pass Filter and Edge Detection Algorithm

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