Title: Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data
Author: Zhang, Qingyuan; Xiao, Xiangming; Braswell, Bobby; Linder, Ernst; Ollinger, Scott; Smith, Marie-Louise; Jenkins, Julian P.; Baret, Fred; Richardson, Andrew D.; Moore, Berrien III; Minocha, Rakesh.
Source: Remote Sensing of Environment. 105: 189-203.
Description: In this paper, we present an improved procedure for collecting no or little atmosphere- and snow-contaminated observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The resultant time series of daily MODIS data of a temperate deciduous broadleaf forest (the Bartlett Experimental Forest) in 2004 show strong seasonal dynamics of surface reflectance of green, near infrared and shortwave infrared bands, and clearly delineate leaf phenology and length of plant growing season. We also estimate the fractions of photosynthetically active radiation (PAR) absorbed by vegetation canopy (FAPARcanopy), leaf (FAPARleaf), and chlorophyll (FAPARchl), respectively, using a coupled leaf-canopy radiative transfer model (PROSAIL-2) and daily MODIS data. The Markov Chain Monte Carlo (MCMC) method (the Metropolis algorithm) is used for model inversion, which provides probability distributions of the retrieved variables. A two-step procedure is used to estimate the fractions of absorbed PAR: (1) to retrieve biophysical and biochemical variables from MODIS images using the PROSAIL-2 model; and (2) to calculate the fractions with the estimated model variables from the first step.
Keywords: Bartlett Experimental Forest, MODIS, Snow, Atmosphere contamination, Phenology, PROSPECT, SAIL-2, FAPAR, Markov Chain Monte Carlo (MCMC) method
View or Print this Publication (918 KB)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- This publication may be available in hard copy. Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
Zhang, Qingyuan; Xiao, Xiangming; Braswell, Bobby; Linder, Ernst; Ollinger, Scott; Smith, Marie-Louise; Jenkins, Julian P.; Baret, Fred; Richardson, Andrew D.; Moore, Berrien III; Minocha, Rakesh. 2006. Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data. Remote Sensing of Environment. 105: 189-203.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility