{"id":930,"date":"2026-04-21T20:55:12","date_gmt":"2026-04-22T00:55:12","guid":{"rendered":"https:\/\/ubwp.buffalo.edu\/glyremotesensinglab\/?page_id=930"},"modified":"2026-04-22T04:18:24","modified_gmt":"2026-04-22T08:18:24","slug":"tools-and-equipments","status":"publish","type":"page","link":"https:\/\/ubwp.buffalo.edu\/glyremotesensinglab\/tools-and-equipments\/","title":{"rendered":"tools and equipments"},"content":{"rendered":"
\n

<\/p>\n

\n
<\/div>\n
<\/div>\n
\n
\ud83d\udd2c<\/div>\n

Facilities: Equipment, Software & Tools<\/h1>\n

\n The RS Lab’s research infrastructure \u2014 from polar field instruments to
\n open-source algorithms developed by our team.\n <\/p>\n

\n \u2699 Field Equipment<\/a>
\n \ud83d\udcbb Software Licenses<\/a>
\n \ud83d\udee0 Developed Tools<\/a>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n

<\/p>\n

\n
\n Section A<\/span><\/p>\n

Field & Lab Equipment<\/h2>\n

\n Physical instruments used for data collection in the field and in the lab,
\n spanning polar fieldwork across Greenland, Antarctica, and Alaska.\n <\/p>\n<\/p><\/div>\n

\n
\n
\ud83d\udce1<\/div>\n

Differential GPS Stations<\/h3>\n

\n Carrier-phase GPS units for measuring ice surface velocity and position.\n <\/p>\n

GNSS \u00b7 Geodesy<\/span>\n <\/div>\n

\n
\ud83c\udfaf<\/div>\n

Total Stations<\/h3>\n

\n High-precision ground control survey instruments.\n <\/p>\n

Surveying<\/span>\n <\/div>\n

\n
\ud83d\udcfb<\/div>\n

GPR<\/h3>\n

\n Ground-penetrating radar system for subsurface measurements.\n <\/p>\n

Subsurface \u00b7 Remote Sensing<\/span>\n <\/div>\n<\/p><\/div>\n<\/section>\n

<\/p>\n

\n
\n Section B<\/span><\/p>\n

Software Licenses<\/h2>\n

\n Commercial software used for image analysis, photogrammetry, and geospatial data processing.\n <\/p>\n<\/p><\/div>\n

\n
\n
ENVI<\/div>\n
\n

ENVI by NV5 Geospatial<\/span><\/h3>\n

\n Software for processing and analyzing remote sensing imagery.\n <\/p>\n

\n Hyperspectral<\/span>Image Analysis<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n
\n
Meta
shape<\/div>\n
\n

Agisoft Metashape<\/h3>\n

\n Photogrammetric processing software for generating Digital Elevation Models (DEMs) from aerial imagery.\n <\/p>\n

\n Photogrammetry<\/span>DEM Generation<\/span>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n

<\/p>\n

\n
\n Section C<\/span><\/p>\n

Developed Tools & Code<\/h2>\n

\n Open-source algorithms, frameworks, and platforms created by RS Lab members
\n and made available to the research community.\n <\/p>\n<\/p><\/div>\n

\n

<\/p>\n

\n
<\/div>\n
\n
\n
\n Published<\/span><\/p>\n

SERAC<\/h3>\n

Surface Elevation Reconstruction And Change<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

\n A methodology for detecting ice sheet surface elevation changes from repeat laser altimetry data.\n <\/p>\n

\n
\n Developed by<\/span>
\n Dr. Anton Schenk & Dr. Beata Csatho<\/span>\n <\/div>\n<\/p><\/div>\n
\n
\n \ud83d\udcc4 IEEE TGRS 2012
\n <\/a>\n <\/div>\n

\n Schenk, T & Csatho, B, 2012. A new methodology for detecting ice sheet surface elevation
\n changes from laser altimetry data. IEEE Trans Geosci Remote Sens<\/em>, 50<\/strong>(9).
\n DOI:10.1109\/TGRS.2011.2182357\n <\/p>\n<\/p><\/div>\n<\/p><\/div>\n

<\/p>\n

\n
<\/div>\n
\n
\n
\n Published<\/span><\/p>\n

ALPS<\/h3>\n

Altimetry Land ice Processing System<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

\n A unified framework for modeling time series of land ice changes from multi-mission laser altimetry data.\n <\/p>\n

\n
\n Developed by<\/span>
\n P. Shekhar, B. Csatho, T. Schenk, C. Roberts, A. Patra<\/span>\n <\/div>\n<\/p><\/div>\n
\n
\n \ud83d\udcc4 IEEE TGRS 2020
\n <\/a>
\n
\n \ud83c\udf10 ALPS2 on GHub
\n <\/a>\n <\/div>\n

\n Shekhar, P, Csatho, B, Schenk, T, Roberts, C, Patra, AK, 2020. ALPS: A Unified Framework for Modeling
\n Time Series of Land Ice Changes. IEEE Trans Geosci Remote Sens<\/em>.
\n DOI:10.1109\/TGRS.2020.3027190\n <\/p>\n<\/p><\/div>\n<\/p><\/div>\n

<\/p>\n

\n
<\/div>\n
\n
\n
\n Open Source<\/span><\/p>\n

Automated Trimline Mapping<\/h3>\n

ML-based ice margin classification<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

\n A tool for automated mapping of ice margins and trimlines from satellite imagery.\n <\/p>\n

\n
\n Developed by<\/span>
\n Mohammad Salmani (PhD Student)<\/span>\n <\/div>\n<\/p><\/div>\n
\n
\n \u2325 GitHub Repository
\n <\/a>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n

<\/p>\n

\n
<\/div>\n
\n
\n
\n Open Source<\/span><\/p>\n

Moulins DEM Correction<\/h3>\n

DEM artifact removal near glacial moulins<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

\n A processing workflow based on SERAC that checks the accuracy of DEMs by comparison with laser altimetry time series, and corrects them to improve agreement with altimetry.\n <\/p>\n

\n
\n Developed by<\/span>
\n Dr. Ashlynn Narkevic<\/span>\n <\/div>\n<\/p><\/div>\n
\n
\n \ud83c\udf10 GHub Resource
\n <\/a>\n <\/div>\n<\/p><\/div>\n<\/p><\/div>\n

<\/p>\n

\n
<\/div>\n
\n
\n
\n NSF Funded<\/span><\/p>\n

GHub \u2014 Glaciology Hub<\/h3>\n

Community cyberinfrastructure for ice sheet science<\/p>\n<\/p><\/div>\n<\/p><\/div>\n

\n A science gateway hosting datasets, workflows, and tools to unify ice sheet observations and modeling, provide uncertainty quantification, and improve estimates of future sea level rise.\n <\/p>\n

\n
\n PI<\/span>
\n Jason Briner (UB)<\/span>\n <\/div>\n
\n Co-PIs<\/span>
\n Beata Csatho, Kristin Poinar, Anton Schenk (UB)<\/span>\n <\/div>\n<\/p><\/div>\n
\n
\n \ud83c\udf10 Visit ghub.io
\n <\/a>
\n
\n \ud83d\udcc4 The Cryosphere 2025
\n <\/a>\n <\/div>\n

\n Tulenko et al. (including Csatho, BM), 2025. Brief communication: Enabling open cryosphere
\n research with Ghub. The Cryosphere<\/em>, 19<\/strong>(10), 4327\u20134333.
\n DOI:10.5194\/tc-19-4327-2025\n <\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n


\n <\/section>\n<\/div>\n

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