Document Type
Article
Publication Version
Version of Record
Publication Date
12-2014
Description
Cross comparison of satellite-derived land surface phenology (LSP) and ground measurements is useful to ensure the relevance of detected seasonal vegetation change to the underlying biophysical processes. While standard 16-day and 250-m Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation index (VI)-based springtime LSP has been evaluated in previous studies, it remains unclear whether LSP with enhanced temporal and spatial resolutions can capture additional details of ground phenology. In this paper, we compared LSP derived from 500-m daily MODIS and 30-m MODIS-Landsat fused VI data with landscape phenology (LP) in a northern U.S. mixed forest. LP was previously developed from intensively observed deciduous and coniferous tree phenology using an upscaling approach. Results showed that daily MODIS-based LSP consistently estimated greenup onset dates at the study area (625 m × 625 m) level with 4.48 days of mean absolute error (MAE), slightly better than that of using 16-day standard VI (4.63 days MAE). For the observed study areas, the time series with increased number of observations confirmed that post-bud burst deciduous tree phenology contributes the most to vegetation reflectance change. Moreover, fused VI time series demonstrated closer correspondences with LP at the community level (0.1-20 ha) than using MODIS alone at the study area level (390 ha). The fused LSP captured greenup onset dates for respective forest communities of varied sizes and compositions with four days of the overall MAE. This study supports further use of spatiotemporally enhanced LSP for more precise phenological monitoring.
Publication Title
IEEE Transactions on Geoscience and Remote Sensing
Volume
52
Issue
12
First Page
7513
Last Page
7526
DOI of Published Version
10.1109/TGRS.2014.2313558
Pages
14
Format
application/pdf
Language
en
Publisher
IEEE
Rights
Works produced within the official duties of an employee of the U.S. Government are not subject to copyright within the U.S. Not subject to U.S. copyright protection.
Recommended Citation
Liang, Liang; Schwartz, Mark D.; Wang, Zhuosen; Gao, Feng; Schaaf, Crystal B.; Tan, Bin; Morisette, Jeffrey T.; and Zhang, Xiaoyang, "A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest" (2014). GSCE Faculty Publications. 13.
https://openprairie.sdstate.edu/gsce_pubs/13
Included in
Climate Commons, Environmental Sciences Commons, Physical and Environmental Geography Commons, Remote Sensing Commons, Spatial Science Commons
Comments
This article appeared in IEEE Transactions On Geoscience and Remote Sensing (2014) 52:12, http://dx.doi.org/10.1109/TGRS.2014.2313558.