Reference health

A Systematic Extraction of Glacial Lakes for Satellite Imagery Using Deep Learning Based Technique

https://doi.org/10.2139/ssrn.3985398
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30/30 checkable references clean · checked 2026-07-23

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

13 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 30 checked references that resolve
resolves10.1016/B978-0-12-822133-4.00004-9
Extraction of glacial lakes in the Himalayan region using landsat imagery
resolves10.1109/JSTARS.2017.2767098
Glacial Lake Inventory and Evolution in Northwestern Indian Himalaya
resolves10.1016/j.scitotenv.2012.11.043
Glacial lakes in the Indian Himalayas — From an area-wide glacial lake inventory to on-site and modeling based risk assessment of critical glacial lakes
resolves10.1109/36.135828
Integrating GIS's and remote sensing image analysis systems by unifying knowledge representation schemes
resolves10.1139/t04-053
An assessment procedure for glacial hazards in the Swiss Alps
resolves10.1007/s11069-006-9028-7
A procedure for making objective preliminary assessments of outburst flood hazard from moraine-dammed lakes in southwestern British Columbia
resolves10.1109/JSTARS.2016.2527063
Regional Glacier Mapping Using Optical Satellite Data Time Series
resolves10.1080/01431169608948714
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
resolves10.1080/01431160600589179
Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
resolves10.1109/LGRS.2014.2385691
Robust Registration of Cloudy Satellite Images Using Two-Step Segmentation
resolves10.1109/JSTARS.2018.2846551
A Systematic Extraction Approach for Mapping Glacial Lakes in High Mountain Regions of Asia
resolves10.1023/B:VISI.0000022288.19776.77
Efficient Graph-Based Image Segmentation
resolves10.1109/LGRS.2009.2025059
Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering
resolves10.1109/LGRS.2012.2224316
Supraglacial Streams on the Greenland Ice Sheet Delineated From Combined Spectral–Shape Information in High-Resolution Satellite Imagery
resolves10.1109/JSTARS.2017.2705718
Extraction of Glacial Lake Outlines in Tibet Plateau Using Landsat 8 Imagery and Google Earth Engine
resolves10.3189/172756411797252293
Glacial lake inventory of Bhutan using ALOS data: methods and preliminary results
resolves10.1109/TPAMI.2005.173
Canny edge detection enhancement by scale multiplication
resolves10.3390/rs3122605
The Importance of Accounting for Atmospheric Effects in the Application of NDVI and Interpretation of Satellite Imagery Supporting Archaeological Research: The Case Studies of Palaepaphos and Nea Paphos Sites in Cyprus
resolves10.1109/TIP.2014.2298981
A New Iterative Triclass Thresholding Technique in Image Segmentation
resolves10.1109/JSTARS.2014.2360436
Multiscale Water Body Extraction in Urban Environments From Satellite Images
resolves10.3390/ijgi9100560
Glacial Lakes Mapping Using Multi Satellite PlanetScope Imagery and Deep Learning
resolves10.1016/j.gloplacha.2012.05.025
Index for hazard of Glacier Lake Outburst flood of Lake Merzbacher by satellite-based monitoring of lake area and ice cover
resolves10.1016/j.catena.2016.07.032
882 lakes of the Cordillera Blanca: An inventory, classification, evolution and assessment of susceptibility to outburst floods
resolves10.1016/S0034-4257(01)00318-2
Detection of forest harvest type using multiple dates of Landsat TM imagery
resolves10.1109/JSTARS.2013.2274668
A Comparison of Pixel- and Object-Based Glacier Classification With Optical Satellite Images
resolves10.1109/TGRS.2013.2293662
Haze Detection and Removal in Remotely Sensed Multispectral Imagery
resolves10.1049/iet-ipr.2018.5524
Change detection in Landsat images based on local neighbourhood information
resolves10.1109/LGRS.2018.2789404
Change Detection in Optical Satellite Images Based on Local Binary Similarity Pattern Technique
resolves10.1109/JSTARS.2021.3068274
Attention-Based Tri-UNet for Remote Sensing Image Pan-Sharpening
resolves10.1109/ICASSP40776.2020.9053405
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
The 13 references without a DOI — listed, not checked
no DOI — not checkedA research of glacier change in west kunlun through remote sensing
no DOI — not checkedExtraction of glacial lakes in gangotri glacier using object-based image analysis
no DOI — not checkedAutomated water extraction index: A new technique for surface water mapping using landsat imagery
no DOI — not checkedref28
no DOI — not checkedref33
no DOI — not checkedFeature pyramid networks for object detection
no DOI — not checkedLinknet: Exploiting encoder representations for efficient semantic segmentation
no DOI — not checkedPyramid scene parsing network
no DOI — not checkedref39
no DOI — not checkedDeep residual learning for image recognition
no DOI — not checkedGoing deeper with convolutions
no DOI — not checkedref42
no DOI — not checkedref43
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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