A 30+ Year AVHRR LAI and FAPAR Climate Data Record: Algorithm Description and Validation

Claverie, Martin; Matthews, Jessica; Vermote, Eric; Justice, Christopher

doi:10.3390/rs8030263

i

A 30+ Year AVHRR LAI and FAPAR Climate Data Record: Algorithm Description and Validation

2016
By Claverie, Martin ; Matthews, Jessica ; Vermote, Eric ; ...

Details

Journal Title:

Remote Sensing
Personal Author:

Claverie, Martin ; Matthews, Jessica ; Vermote, Eric ; Justice, Christopher
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; NCEI (National Centers for Environmental Information) ; CICS (Cooperative Institute for Climate and Satellites)
Description:

In-land surface models, which are used to evaluate the role of vegetation in the context of global climate change and variability, LAI and FAPAR play a key role, specifically with respect to the carbon and water cycles. The AVHRR-based LAI/FAPAR dataset offers daily temporal resolution, an improvement over previous products. This climate data record is based on a carefully calibrated and corrected land surface reflectance dataset to provide a high-quality, consistent time-series suitable for climate studies. It spans from mid-1981 to the present. Further, this operational dataset is available in near real-time allowing use for monitoring purposes. The algorithm relies on artificial neural networks calibrated using the MODIS LAI/FAPAR dataset. Evaluation based on cross-comparison with MODIS products and in situ data show the dataset is consistent and reliable with overall uncertainties of 1.03 and 0.15 for LAI and FAPAR, respectively. However, a clear saturation effect is observed in the broadleaf forest biomes with high LAI (>4.5) and FAPAR (>0.8) values.
Keywords:

Algorithms Climatic Factors Quantitative Research Remote Sensing Vegetation Mapping Climatic Factors Quantitative Research Remote Sensing Vegetation Mapping
Source:

Remote Sens. 8(3), 1-12
DOI:

https://doi.org/10.3390/rs8030263
Document Type:

Journal Article
Funding:

Grant no. NA14NES432003
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha-512:fbc6567d74c085fb706dc0d30aff9b8ec24a910e5b504dc27abee5577edbaa8197e85cc4ef7f53d540878cf1bc114130ec2550c367fab171f184e26f35317a41
Download URL:

https://repository.library.noaa.gov/view/noaa/25386/noaa_25386_DS1.pdf
File Type:

[PDF - 2.88 MB ]

ON THIS PAGE

Details Related Documents

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.