Land Surface Phenologies in Montane Central Asia: Multiscale Synopsis across the MODIS Era
Geoffrey M Henebry, Michigan State University, henebryg@msu.edu (Presenter)
Monika A Tomaszewska, Michigan State University, monikat@msu.edu
One primary objective in our LCLUC project focused on the highlands of Central Asia was mapping land surface phenologies (LSPs) at the finer spatial scale of Landsat data to be able to capture better the topoedaphic and microclimatic constraints on the productivity of herbaceous vegetation. Here we share comparative analyses of key phenometrics from two complementary approaches to LSP modeling: the MCD12Q2 V6.1 product and the Convex Quadratic (CxQ) model that links a VI time series (here EVI2 from Landsat Collection 2) with thermal time through a quadratic function of accumulated growing degree-days (AGDD) calculated from M{O|Y}D11A2 V6.1 land surface temperature products. We compare the interannual and spatial variations of the MODIS product phenometrics with CxQ phenometrics by elevational belt across a mountainous region including all of Kyrgyzstan and Tajikistan as well as parts of southern Kazakhstan and eastern Uzbekistan. It is instructive where and when the LSP models agree, disagree, and fail.
Associated Project(s):
Poster Location ID: 2-12
Presentation Type: Poster
Session: Poster Session 2
Session Date: Wed (May 10) 5:15-7:15 PM
CCE Program: LCLUC