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Physical Sciences and Mathematics Commons

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Oceanography and Atmospheric Sciences and Meteorology

City University of New York (CUNY)

Alaska

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus Aug 2020

Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus

Theses and Dissertations

This paper investigates how the snow-albedo feedback mechanism of the arctic is changing in response to rising climate temperatures. Specifically, the interplay of vegetation and snowmelt, and how these two variables can be correlated. This has the potential to refine climate modelling of the spring transition season. Research was conducted at the ecoregion scale in northern Alaska from 2000 to 2020. Each ecoregion is defined by distinct topographic and ecological conditions, allowing for meaningful contrast between the patterns of spring albedo transition across surface conditions and vegetation types. The five most northerly ecoregions of Alaska are chosen as they encompass …


Evaluation Of Alos Palsar Data For High-Resolution Mapping Of Vegetated Wetlands In Alaska, Daniel Clewley, Jane Whitcomb, Mahta Moghaddam, Kyle Macdonald, Bruce Chapman, Peter Bunting Jun 2015

Evaluation Of Alos Palsar Data For High-Resolution Mapping Of Vegetated Wetlands In Alaska, Daniel Clewley, Jane Whitcomb, Mahta Moghaddam, Kyle Macdonald, Bruce Chapman, Peter Bunting

Publications and Research

As the largest natural source of methane, wetlands play an important role in the carbon cycle. High-resolution maps of wetland type and extent are required to quantify wetland responses to climate change. Mapping northern wetlands is particularly important because of a disproportionate increase in temperatures at higher latitudes. Synthetic aperture radar data from a spaceborne platform can be used to map wetland types and dynamics over large areas. Following from earlier work by Whitcomb et al. (2009) using Japanese Earth Resources Satellite (JERS-1) data, we applied the “random forests” classification algorithm to variables from L-band ALOS PALSAR data for 2007, …