Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data
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In this article, a synergistic algorithm was proposed to produce global leaf area index and fraction of absorbed photosynthetically active radiation fields from canopy reflectance data measured by MODIS (moderate resolution imaging spectroradiometer) and MISR (multiangle imaging spectraladiometer).Abstract:
A synergistic algorithm for producing global leaf area index and fraction of absorbed photosynthetically active radiation fields from canopy reflectance data measured by MODIS (moderate resolution imaging spectroradiometer) and MISR (multiangle imaging spectroradiometer) instruments aboard the EOS-AM 1 platform is described here. The proposed algorithm is based on a three-dimensional formulation of the radiative transfer process in vegetation canopies. It allows the use of information provided by MODIS (single angle and up to 7 shortwave spectral bands) and MISR (nine angles and four shortwave spectral bands) instruments within one algorithm. By accounting features specific to the problem of radiative transfer in plant canopies, powerful techniques developed in reactor theory and atmospheric physics are adapted to split a complicated three-dimensional radiative transfer problem into two independent, simpler subproblems, the solutions of which are stored in the form of a look-up table. The theoretical background required for the design of the synergistic algorithm is discussed. Large-scale ecosystem modeling is used to simulate a range of ecological responses to changes in climate and chemical composition of the atmosphere, including changes in the distribution of terrestrial plant communities across the globe in response to climate changes. Leaf area index (LAI) is a state parameter in all models describing the exchange of fluxes of energy, mass (e.g., water and CO 2), and momentum between the surface and the planetary boundary layer. Analyses of global carbon budget indicate a large terrestrial middle- to high-latitude sink, without which the accumulation of carbon in the atmosphere would be higher than the present rate. The problem of accurately evaluating the exchange of carbon between the atmosphere and the terrestrial vegetation therefore requires special attention. In this context the fraction of photosynthetically active radiation (FPAR) absorbed by global vegetation is a key state variable in most ecosystem productivity models and in global models of climate, hydrology, biogeochemestry, and ecology (Sellers et al., 1997). Therefore these variables that describe vegetation canopy structure and its energy absorption capacity are required by many of the EOS Interdisciplinary Projects (Myneni et al., 1997a). In order to quantitatively and accurately model global dynamics of these processes, differentiate short-term from long-term trends, as well as to distinguish regional from global phenomena, these tworead more
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Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data
Ranga B. Myneni,S. Hoffman,Yuri Knyazikhin,J. L. Privette,Joseph M. Glassy,Yuhong Tian,Yujie Wang,X. Song,Yu Zhang,G. R. Smith,Alexander Lotsch,Mark A. Friedl,Jeffrey T. Morisette,Petr Votava,Ramakrishna R. Nemani,Steven W. Running +15 more
TL;DR: An algorithm based on the physics of radiative transfer in vegetation canopies for the retrieval of vegetation green leaf area index (LAI) and fraction of absorbed photosynthetically active radiation (FPAR) from surface reflectances was developed and implemented for operational processing prior to the launch of the moderate resolution imaging spectroradiometer (MODIS) aboard the TERRA platform in December of 1999 as discussed by the authors.
Journal ArticleDOI
China and India lead in greening of the world through land-use management
Chi Chen,Taejin Park,Xuhui Wang,Shilong Piao,Baodong Xu,Baodong Xu,Rajiv Kumar Chaturvedi,Richard Fuchs,Victor Brovkin,Philippe Ciais,Rasmus Fensholt,Hans Tømmervik,Govindasamy Bala,Zaichun Zhu,Ramakrishna R. Nemani,Ranga B. Myneni +15 more
TL;DR: Using satellite data from 2000–2017, this study finds striking greening of both China and India, driven primarily by land-use change, with forest growth and cropland intensification more important in China andCropland moreimportant in India.
Journal ArticleDOI
Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling
TL;DR: In this paper, the theoretical background of modeling the gap fraction and the leaf inclination distribution is presented and different techniques used to derive leaf area index (LAI) and leaf inclination angle from gap fraction measurements are reviewed.
Journal ArticleDOI
An algorithm for the retrieval of albedo from space using semiempirical BRDF models
TL;DR: The algorithm presented may be employed to derive albedo from space-based multiangular measurements and also serves as a guide for the use of the MODIS BRDF/albedo product.
Journal ArticleDOI
Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011
Zaichun Zhu,Jian Bi,Yaozhong Pan,Sanmay Ganguly,Alessandro Anav,Liang Xu,Arindam Samanta,Shilong Piao,Ramakrishna R. Nemani,Ranga B. Myneni +9 more
TL;DR: Long-term global data sets of vegetation Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation absorbed by vegetation (FPAR) are critical to understanding vegetation photosynthesis and its role in climate change.
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