Abstract

As the latest version of Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation (FPAR) products, Collection 6 (C6) has been distributed since August 2015. This collection is evaluated in this two-part series with the goal of assessing product accuracy, uncertainty and consistency with the previous version. In this first paper, we compare C6 (MOD15A2H) with Collection 5 (C5) to check for consistency and discuss the scale effects associated with changing spatial resolution between the two collections and benefits from improvements to algorithm inputs. Compared with C5, C6 benefits from two improved inputs: (1) L2G–lite surface reflectance at 500 m resolution in place of reflectance at 1 km resolution; and (2) new multi-year land-cover product at 500 m resolution in place of the 1 km static land-cover product. Global and seasonal comparison between C5 and C6 indicates good continuity and consistency for all biome types. Moreover, inter-annual LAI anomalies at the regional scale from C5 and C6 agree well. The proportion of main radiative transfer algorithm retrievals in C6 increased slightly in most biome types, notably including a 17% improvement in evergreen broadleaf forests. With same biome input, the mean RMSE of LAI and FPAR between C5 and C6 at global scale are 0.29 and 0.091, respectively, but biome type disagreement worsens the consistency (LAI: 0.39, FPAR: 0.102). By quantifying the impact of input changes, we find that the improvements of both land-cover and reflectance products improve LAI/FPAR products. Moreover, we find that spatial scale effects due to a resolution change from 1 km to 500 m do not cause any significant differences.

Highlights

  • The launch of NASA’s Terra and Aqua satellites began a new era in remote sensing of Earth’s atmosphere, oceans and land surface

  • The operational Moderate Resolution Imaging Spectroradiometer (MODIS) Leaf Area Index (LAI)/Fraction of Photosynthetically Active Radiation (FPAR) algorithm consists of a main algorithm that is based on the three-dimensional radiative transfer (3D Radiative Transfer (RT)) equation

  • This paper presents version consistency and improvements in the latest MODIS LAI/FPAR Collection 6 (C6) product

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Summary

Part 1: Consistency and Improvements

Kai Yan 1,2, *, Taejin Park 2, *, Guangjian Yan 1 , Chi Chen 2 , Bin Yang 2,3 , Zhao Liu 2 , Ramakrishna R. Nemani 4 , Yuri Knyazikhin 2 and Ranga B. Beijing Key Lab of Spatial Information Integration & Its Applications, Institute of RS & GIS, Peking University, Beijing 100871, China. Academic Editors: Sangram Ganguly, Compton Tucker, Clement Atzberger and Prasad S.

Introduction
Algorithm Theoretical Description
Algorithm Inputs
Temporal Compositing and Quality Control
Improvements of Collection 6
Global
Spatial Coverage of Main Algorithm
Seasonal variations averagedMODIS
Inter-Annual LAI Anomalies
Benefits from Improved Input Data
BenefitsAsfrom
This result agrees with
WeC5 divide h11v04 as an example as
Benefits from Surface Reflectance Improvement
Impact of Scale Effect
Findings
Conclusions
Full Text
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