4.7 Article

Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product

Journal

REMOTE SENSING
Volume 8, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/rs8040337

Keywords

FCover; LAI; validation; GLASS; GEOV1

Funding

  1. State Program for High-Tech Research and Development (863 program) [2013AA121201]
  2. Chinese 973 Program [2013CB733403]
  3. National Natural Science Foundation of China [41171264, 41331173]

Ask authors/readers for more resources

The fractional vegetation cover (FCover) is an essential biophysical variable and plays a critical role in the carbon cycle studies. Existing FCover products from satellite observations are spatially incomplete and temporally discontinuous, and also inaccurate for some vegetation types to meet the requirements of various applications. In this study, an operational method is proposed to calculate high-quality, accurate FCover from the Global LAnd Surface Satellite (GLASS) leaf area index (LAI) product to ensure physical consistency between LAI and FCover retrievals. As a result, a global FCover product (denoted by TRAGL) were generated from the GLASS LAI product from 2000 to present. With no missing values, the TRAGL FCover product is spatially complete. A comparison of the TRAGL FCover product with the Geoland2/BioPar version 1 (GEOV1) FCover product indicates that these FCover products exhibit similar spatial distribution pattern. However, there were relatively large discrepancies between these FCover products over equatorial rainforests, broadleaf crops in East-central United States, and needleleaf forests in Europe and Siberia. Temporal consistency analysis indicates that TRAGL FCover product has continuous trajectories. Direct validation with ground-based FCover estimates demonstrated that TRAGL FCover values were more accurate (RMSE = 0.0865, and R-2 = 0.8848) than GEOV1 (RMSE = 0.1541, and R-2 = 0.7621).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available