Results 251 to 260 of about 782 (275)
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Delineation of debris-covered glacier boundaries using optical and thermal remote sensing data

Remote Sensing Letters, 2010
The varying extent of debris cover on a glacier's boundary may seriously hinder automated mapping and inventorying of glaciers in various parts of the world. The problem arises because supraglacial debris (i.e. debris on the glacier) and the adjacent periglacial debris (occurring outside the glacier boundary) have a similar spectral response in the ...
M K Arora
exaly   +2 more sources

Glacier Boundary Mapping Using Deep Learning Classification over Bara Shigri Glacier in Western Himalayas

open access: yesSustainability, 2022
Glacier, snow, and ice are the essential components of the Himalayan cryosphere and provide a sustainable water source for different applications. Continuous and accurate monitoring of glaciers allows the forecasting analysis of natural hazards and water
Vishakha Sood   +2 more
exaly   +2 more sources

Automated delineation of debris-covered glaciers based on ASTER data

2007
Large areas of the glacier tongues at Mt. Everest are heavily covered by supraglacial debris. This hampers the automated mapping of the actual ice snout by means of spaceborne imagery due to the similar spectral signal of the surrounding debris. The most significant features which differentiate the glaciers are the typical surface characteristics like ...
Bolch, Tobias   +3 more
openaire   +1 more source

Dissolved organic matter sources in glacierized watersheds delineated through compositional and carbon isotopic modeling

Limnology and Oceanography, 2020
AbstractClimate change is decreasing watershed glacial coverage throughout Alaska, impacting the biogeochemistry of downstream ecosystems. We collected streamwater fortnightly over the glacial runoff period from three streams of varying watershed glacier coverage (0–49%) and a subglacial outflow to assess how glacier recession impacts the relative ...
Megan I. Behnke   +5 more
openaire   +1 more source

A Hybrid CNN + Random Forest Approach to Delineate Debris Covered Glaciers Using Deep Features

Journal of the Indian Society of Remote Sensing, 2018
The main aim of this study is to propose a novel hybrid deep learning framework approach for accurate mapping of debris covered glaciers. The framework comprises of integration of several CNNs architecture, in which different combinations of Landsat 8 multispectral bands (including thermal band), topographic and texture parameters are passed as input ...
Rahul Nijhawan   +2 more
openaire   +1 more source

Intra-annual environmental status and phytoplankton community delineation of a karst glacier lake, Gahar, Iran

Environmental Monitoring and Assessment
Phytoplankton is the main constituent of a healthy high mountain lake, and the turnover in its community composition is directly related to overall diversity and resilience. Concerning the pristine nature of Lake Gahar, this study aimed to assess phytoplankton stability using alpha diversity indices, Simpson dissimilarity index (βSIM), and long-term ...
Rezvan Mousavi-Nadushan   +1 more
openaire   +2 more sources

Intercomparison of remotely sensed methods for delineation of high mountain debris-covered glaciers using machine learning

2023
The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)
Racoviteanu, A.   +13 more
openaire   +2 more sources

Comparison of Support Vector Machine and Artificial Neural Network for Delineating Debris Covered Glacier

2016
Glacier mapping accuracy plays very important role in studies like mass balance of glacier, water resource management and in understanding the health of the glacier. Several of the present glaciers are covered with debris of different thickness. So it becomes difficult to distinguish debris covered glacier from the adjacent valley rock, alone with the ...
Rahul Nijhawan   +2 more
openaire   +1 more source

An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery

Remote Sensing of Environment, 2021
Abstract In the past two decades, the data volume of remote sensing imagery in the polar regions has increased dramatically. The calving fronts of many Greenland glaciers have been undergoing substantial variations, and a comprehensive front dataset is necessary for better understanding such frontal dynamics.
Enze Zhang   +3 more
openaire   +1 more source

Mapping the Margins: Evaluating Accuracy and Ambiguity in Automated Rock Glacier Delineation

Rock glaciers, the most visible surface expression of permafrost landforms, are found across glacial, periglacial and paraglacial environments. Accurate and consistent mapping of their extent is fundamental for advancing research in geomorphology, hydrology, ecology, geohazard assessment, permafrost dynamics, and climate studies.
Sunil Tamang   +4 more
openaire   +1 more source

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