Estimation and validation of land surface broadband albedos and leaf area index from EO-1 ALI data

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Estimation_and_validation_of_land_surface_broadband_albedos_and_leaf_area_index_from_EO-1_ALI_data.pdf (667.19 KB)

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https://ieeexplore.ieee.org/document/1220233

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https://doi.org/10.1109/TGRS.2003.813203
 http://hdl.handle.net/11603/31538

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UMBC Joint Center for Earth Systems Technology (JCET)
UMBC Faculty Collection
UMBC Geography and Environmental Systems Department
UMBC GESTAR II

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Author/Creator ORCID

https://orcid.org/0000-0003-4148-9108

Date

2003-06

Type of Work

journal articles
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Citation of Original Publication

Shunlin Liang et al., "Estimation and validation of land surface broadband albedos and leaf area index from EO-1 ALI data," in IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 6, pp. 1260-1267, June 2003, doi: 10.1109/TGRS.2003.813203.

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0 Universal

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Abstract

The Advanced Land Imager (ALI) is a multispectral sensor onboard the National Aeronautics and Space Administration Earth Observing 1 (EO-1) satellite. It has similar spatial resolution to Landsat-7 Enhanced Thematic Mapper Plus (ETM+), with three additional spectral bands. We developed new algorithms for estimating both land surface broadband albedo and leaf area index (LAI) from ALI data. A recently developed atmospheric correction algorithm for ETM+ imagery was extended to retrieve surface spectral reflectance from ALI top-of-atmosphere observations. A feature common to these algorithms is the use of new multispectral information from ALI. The additional blue band of ALI is very useful in our atmospheric correction algorithm, and two additional ALI near-infrared bands are valuable for estimating both broadband albedo and LAI. Ground measurements at Beltsville, MD, and Coleambally, Australia, were used to validate the products generated by these algorithms.