TY  - JOUR
AU  - Gu, Yingxin
AU  - Wylie, Bruce K.
AU  - Bliss, Norman B.
PY  - 2013//
TI  - Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River basin, USA
JO  - Ecological Indicators
SP  - 31
EP  - 36
VL  - 24
KW  - area
KW  - basin
KW  - biophysical
KW  - change
KW  - climate
KW  - climate change
KW  - composite
KW  - correlation
KW  - data
KW  - database
KW  - Difference Vegetation Index
KW  - ecological
KW  - ecological characteristic
KW  - eMODIS NDVI
KW  - flux
KW  - flux tower
KW  - GPP
KW  - grassland
KW  - Greater Platte River basin
KW  - growing season
KW  - GSN
KW  - imaging
KW  - imaging spectroradiometer
KW  - journal articles
KW  - land
KW  - land manager
KW  - map
KW  - mapping
KW  - model
KW  - Moderate Resolution Imaging Spectroradiometer
KW  - NDVI
KW  - Normalized Difference Vegetation Index
KW  - pixel
KW  - Platte River
KW  - production
KW  - productivity
KW  - rangeland
KW  - regional
KW  - resolution
KW  - river
KW  - river basin
KW  - season
KW  - soil
KW  - soil survey
KW  - spatially explicit
KW  - spectroradiometer
KW  - SSURGO grassland productivity
KW  - tower
KW  - United States
KW  - USA
KW  - vegetation
KW  - vegetation index
N2  - This study assessed and described a relationship between satellite-derived growing season averaged Normalized Difference Vegetation Index (NDVI) and annual productivity for grasslands within the Greater Platte River Basin (GPRB) of the United States. We compared growing season averaged NDVI (GSN) with Soil Survey Geographic (SSURGO) database rangeland productivity and flux tower Gross Primary Productivity (GPP) for grassland areas. The GSN was calculated for each of nine years (2000-2008) using the 7-day composite 250-m eMODIS (expedited Moderate Resolution Imaging Spectroradiometer) NDVI data. Strong correlations exist between the nine-year mean GSN (MGSN) and SSURGO annual productivity for grasslands (R2 = 0.74 for approximately 8000 pixels randomly selected from eight homogeneous regions within the GPRB; R2 = 0.96 for the 14 cluster-averaged points). Results also reveal a strong correlation between GSN and flux tower growing season averaged GPP (R2 = 0.71). Finally, we developed an empirical equation to estimate grassland productivity based on the MGSN. Spatially explicit estimates of grassland productivity over the GPRB were generated, which improved the regional consistency of SSURGO grassland productivity data and can help scientists and land managers to better understand the actual biophysical and ecological characteristics of grassland systems in the GPRB. This final estimated grassland production map can also be used as an input for biogeochemical, ecological, and climate change models.
SN  - http://dx.doi.org/10.1016/j.ecolind.2012.05.024
UR  - http://dx.doi.org/10.1016/j.ecolind.2012.05.024
N1  - exported from refbase (http://eros.usgs.gov/refbase/show.php?record=24378), last updated on Fri, 23 Nov 2012 14:56:28 -0600
ID  - Gu_etal2013
ER  -