Mapping snow-algae in Antarctic Peninsula with multi-temporal satellite remote sensing data

Hashim, Mazlan; Misbari, Syarifuddin; Reba, Nadzri; Abdul‐Wahab, Mohd Firdaus; Pour, Amin Beirvand; Said, Mohd Farid Muhamad; Omar, Abdul Hafidz; Soeed, Kamaruzaman

doi:10.1109/igarss.2016.7730360

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…FFigure1 Study site and locations of in-situ data collection sampling points. Source [21] Five commonly used image pre-processing activities were performed in this study: 1) creation of image subset and geometric correction, 2) conversion of raw digital numbers (DN) to top-of-atmosphere (TOA), 3) histogram matching, 4) extraction of NDVI and mapping, and 5) accuracy assessment and change detection. Radiometric correction was performed following Landsat ETM+ and OLI reference manual [25].…”

Section: Methodsmentioning

confidence: 99%

“…This study is a part of extensive expedition over Antarctic conducted by a team of researchers of Universiti Teknologi Malaysia (UTM) in the late summer, February to March 2015 [21]. With multi-disciplinary UTM-Antarctic mission team, this study aimed at investigating potential image processing technique applied to multitemporal images to make them useable and to make mapping moss and lichen changes possible in the data-poor areas of AP.…”

Section: Introductionmentioning

confidence: 99%

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Multitemporal Histogram Matching – A New Approach of Moss and Lichen Change Detection From Landsat in Data-Poor Antarctica Environments

Hossain

Hashim

2020

Jurnal Teknologi

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Mosses and lichens are important components of Antarctic ecosystems. Maps of these vegetation are needed to improve our understanding of ecosystem dynamics. This requires species distribution to be mapped repeatedly over time, a critical task that becomes extremely challenging in data-poor Antarctic regions, where the lack of field data, logistics, coupled with scarcity of cloud free, quality multitemporal Landsat imagery are major intrinsic constraints to time-series analysis for change detection. This study firstly analyzes the spectral curves of moss and lichen generated by field-based spectroradiometer and then proposes an innovative histogram matching technique where historical Landsat data is modified such that its histogram matches that of present (reference) dataset. This has made it possible to mapping multitemporal Landsat data in the Antarctic Peninsula. The results demonstrate an overall accuracy of 90.5%. Mapping of Arctic vegetation facilitated by histogram matching of Landsat image, according to the results, seems to be an advisable image processing technique for application in a data-poor context.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multitemporal Histogram Matching – A New Approach of Moss and Lichen Change Detection From Landsat in Data-Poor Antarctica Environments

Hossain

Hashim

2020

Jurnal Teknologi

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A satellite-derived baseline of photosynthetic life across Antarctica

Walshaw,

Gray,

Fretwell

et al. 2024

Nat. Geosci.

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Terrestrial vegetation communities across Antarctica are characteristically sparse, presenting a challenge for mapping their occurrence using remote sensing at the continent scale. At present there is no continent-wide baseline record of Antarctic vegetation, and large-scale area estimates remain unquantified. With local vegetation distribution shifts now apparent and further predicted in response to environmental change across Antarctica, it is critical to establish a baseline to document these changes. Here we present a 10 m-resolution map of photosynthetic life in terrestrial and cryospheric habitats across the entire Antarctic continent, maritime archipelagos and islands south of 60° S. Using Sentinel-2 imagery (2017–2023) and spectral indices, we detected terrestrial green vegetation (vascular plants, bryophytes, green algae) and lichens across ice-free areas, and cryospheric green snow algae across coastal snowpacks. The detected vegetation occupies a total area of 44.2 km2, with over half contained in the South Shetland Islands, altogether contributing just 0.12% of the total ice-free area included in the analysis. Due to methodological constraints, dark-coloured lichens and cyanobacterial mats were excluded from the study. This vegetation map improves the geospatial data available for vegetation across Antarctica, and provides a tool for future conservation planning and large-scale biogeographic assessments.

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Albedo change from snow algae blooms can contribute substantially to snow melt in the North Cascades, USA

Healy

Khan

2023

Commun Earth Environ

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Snow algae are ubiquitous in the Pacific Northwest cryosphere in the summer where snowmelt is an important contribution to regional watersheds. However, less attention has been given to biological impurities as drivers of snowmelt compared to inorganic light-absorbing particles. Here we map snow algae near Mt. Baker with a multispectral camera on an uncrewed aerial vehicle using (1) principal components and (2) spectral indexing. The two approaches are tested under differing bloom states and verified with coincident algal pigment and cell count data. During high bloom intensity we found an average instantaneous radiative forcing of 237 W m−2 with a maximum of 360 W m−2. This translated to 1,508 ± 536 m3 of melted snow water equivalent in the 0.1 km2 basin. These results demonstrate snow algae contribute to snowmelt at mid-latitudes and the potential for uncrewed autonomous vehicles to map snow algae over expansive areas of the cryosphere.

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Mapping snow-algae in Antarctic Peninsula with multi-temporal satellite remote sensing data

Cited by 4 publications

References 7 publications

Multitemporal Histogram Matching – A New Approach of Moss and Lichen Change Detection From Landsat in Data-Poor Antarctica Environments

Multitemporal Histogram Matching – A New Approach of Moss and Lichen Change Detection From Landsat in Data-Poor Antarctica Environments

A satellite-derived baseline of photosynthetic life across Antarctica

Albedo change from snow algae blooms can contribute substantially to snow melt in the North Cascades, USA

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