Remote sensing of lake ice phenology across a range of lakes sizes, ME, USA

Creator

Zhang, S.
- Affiliation: College of Arts and Sciences, Department of Geological Sciences
Pavelsky, T.M.
- Affiliation: College of Arts and Sciences, Department of Geological Sciences

Abstract

Remote sensing of ice phenology for small lakes is hindered by a lack of satellite observations with both high temporal and spatial resolutions. By mergingmulti-source satellite data over individual lakes, we present a new algorithm that successfully estimates ice freeze and thaw timing for lakes with surface areas as small as 0.13 km2 and obtains consistent results across a range of lake sizes. We have developed an approach for classifying ice pixels based on the red reflectance band of Moderate Resolution Imaging Spectroradiometer (MODIS) imagery, with a threshold calibrated against ice fraction from Landsat Fmask over each lake. Using a filter derived from the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) surface air temperature product, we removed outliers in the time series of lake ice fraction. The time series of lake ice fraction was then applied to identify lake ice breakup and freezeup dates. Validation results from over 296 lakes in Maine indicate that the satellite-based lake ice timing detection algorithm perform well, with mean absolute error (MAE) of 5.54 days for breakup dates and 7.31 days for freezeup dates. This algorithm can be applied to lakes worldwide, including the nearly two million lakes with surface area between 0.1 and 1 km2.

Date of publication

Keyword

DOI

Identifier

Resource type

Rights statement

License

Journal title

Journal volume

Journal issue

Language

Version

ISSN

Publisher

Relations

Parents:

This work has no parents.

In Collection:

Thumbnail	Title	Date Uploaded	Visibility	Actions
	Remote_Sensing_of_Lake_Ice.pdf	2022-08-02	Public	Download