AUTHOR=Pisek Jan , Arndt Stefan K. , Erb Angela , Pendall Elise , Schaaf Crystal , Wardlaw Timothy J. , Woodgate William , Knyazikhin Yuri TITLE=Exploring the Potential of DSCOVR EPIC Data to Retrieve Clumping Index in Australian Terrestrial Ecosystem Research Network Observing Sites JOURNAL=Frontiers in Remote Sensing VOLUME=2 YEAR=2021 URL=https://www.frontiersin.org/journals/remote-sensing/articles/10.3389/frsen.2021.652436 DOI=10.3389/frsen.2021.652436 ISSN=2673-6187 ABSTRACT=
Vegetation foliage clumping significantly alters the radiation environment and affects vegetation growth as well as water, carbon cycles. The clumping index (CI) is useful in ecological and meteorological models because it provides new structural information in addition to the effective leaf area index. Previously generated CI maps using a diverse set of Earth Observation multi-angle datasets across a wide range of scales have all relied on the single approach of using the normalized difference hotspot and darkspot (NDHD) method. We explore an alternative approach to estimate CI from space using the unique observing configuration of the Deep Space Climate Observatory Earth Polychromatic Imaging Camera (DSCOVR EPIC) and associated products at 10 km resolution. The performance was evaluated with