Glacier Terminus Position Monitoring and Modelling Using Remote Sensing Data

Nijhawan, Rahul; Jain, Kanupriya

doi:10.1007/978-981-13-1813-9_2

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previously published automated glacier terminus detection methods were based on image classification using various multispectral image bands (see [29], [31], [35]) and simple edge detection methods (see [34]). The application of multispectral band ratios for image classification, such as the normalized difference snow index (NDSI) or normalized difference water index (NDWI), can be applied with reasonable success to the satellite images acquired in months of the year when the snow cover does not extend beyond the glacier margins [31], [35].…”

mentioning

confidence: 99%

Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method

Liu

Enderlin

Marshall

et al. 2021

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

Changes in the calving front position of marineterminating glaciers strongly influence the mass balance of glaciers, ice caps, and ice sheets. At present, quantification of frontal position change primarily relies on time-consuming and subjective manual mapping techniques, limiting our ability to understand changes to glacier calving fronts. Here we describe a newly developed automated method of mapping glacier calving fronts in satellite imagery using observations from a representative sample of Greenland's peripheral marine-terminating glaciers. Our method is adapted from the 2-D wavelet transform modulus maxima (WTMM) segmentation method, which has been used previously for image segmentation in biomedical and other applied science fields. The gradient-based method places edge detection lines along regions with the greatest intensity gradient in the image, such as the contrast between glacier ice and water or glacier ice and sea ice. The lines corresponding to the calving front are identified using thresholds for length, average gradient value, and orientation that minimize the misfit with respect to a manual validation data set. We demonstrate that the method is capable of mapping glacier calving fronts over a wide range of image conditions (light to intermediate cloud cover, dim or bright, mélange presence, etc.). With these time series, we are able to resolve subseasonal to multiyear temporal patterns as well as regional patterns in glacier frontal position change.

show abstract

mentioning

confidence: 99%

Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method

Liu

Enderlin

Marshall

et al. 2021

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

show abstract

Spatiotemporal Detection and Delineation of Bhagirathi-Hooghly River Bank Erosion Using GIS Analytics, West Bengal, India

Das

Saha

2021

Advances in Geographic Information Science

View full text Add to dashboard Cite

Geomorphological characteristics of Gandak river between Sahibganj and confluence with Ganga river during 1989–2022

Kumar,

Hanmaiahgari,

Chowdary

et al. 2024

Environ Earth Sci

View full text Add to dashboard Cite

The Gandak River originates in Nepal and merges with the Ganga River in India. The Gandak River is experiencing significant geomorphological alterations due to climate change and anthropogenic causes. In this study, an attempt has done to examine river bank erosion & accretion, shifting of the river bank, sinuosity, and braiding index of the Gandak River between Sahibganj and the confluence with the Ganga River, covering a length of 92.4 km from 1989 to 2022 (33 years) using remote sensing and geospatial technologies. The delineation of the river bank line for different periods, along with the quantification of erosion and accretion of the river’s right and left banks, were analysed using GIS, including the sinuosity and braiding patterns. The overall sinuosity value ranged from 1.16 to 1.01 and did not follow any specific pattern in significant reaches. The sinuosity value was almost constant over the most d/s reach of 30.74 km. The braiding index of the River was found to be the maximum between Ismailpur and Baijalpur and the minimum value between Munja and Chakia in 2015 and 1995 respectively. This study revealed that the river is shifting to the right, and bank protection measures were needed. Finally, the proposed investigation revealed the braiding phenomenon, river shifting in the transverse direction, and shifting of the meander bend was primarily responsible for the erosion and accretion of the river banks. This study will benefit local government agencies, concerned authorities, and people residing along the banks of the Gandak River by providing insights into the river’s migration patterns. Further, this knowledge aids in better planning of riverbank protection measures and developing a navigation system.

show abstract

Glacier Terminus Position Monitoring and Modelling Using Remote Sensing Data

Cited by 3 publications

References 5 publications

Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method

Automated Detection of Marine Glacier Calving Fronts Using the 2-D Wavelet Transform Modulus Maxima Segmentation Method

Spatiotemporal Detection and Delineation of Bhagirathi-Hooghly River Bank Erosion Using GIS Analytics, West Bengal, India

Geomorphological characteristics of Gandak river between Sahibganj and confluence with Ganga river during 1989–2022

Contact Info

Product

Resources

About