Estimation of snow surface albedo using Landsat Thematic Mapper
Jiancheng Shi, T. H. Painter, Jeff Dozier
Abstract
Jiancheng Shi, T. H. Painter, Jeff Dozier
Abstract
Snow surface albedo is important to climatological and hydrological investigations. Using data acquired with the Landsat Thematic Mapper (TM) over Mammoth Mountain, California, the authors derived snow particle size from which surface albedo was estimated. Quantitative measurements of temporal and spatial variations in snow surface albedo will permit accurate parameterization for climatological and hydrological studies.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Snow surface albedo is important to climatological and hydrological investigations. Using data acquired with the Landsat Thematic Mapper (TM) over Mammoth Mountain, California, the authors derived snow particle size from which surface albedo was estimated. Quantitative measurements of temporal and spatial variations in snow surface albedo will permit accurate parameterization for climatological and hydrological studies.
Key concepts: Thematic Mapper, Albedo (alchemy), Snow, Remote sensing, Environmental science, Geology, Meteorology, Satellite imagery