Evaluation of Times Series of Terra/Aqua Observations Derived from MCD19 Product over Boreal Forest Ecosystems in North America
Abstract
Dense time series of observations derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua since 2000 have been widely used to study forest ecosystem dynamics However, reliable monitoring of forest ecosystem dynamics (e.g., disturbances, phenology etc.) relies heavily on the amount of clear observations and accuracy of cloud/cloud shadow detection. Previous studies found that Multi-Angle Implementation of Atmospheric Correction (MAIAC) provides more cloud-free observations and more reliable cloud detection over tropical Amazon basin. At the same time, the evaluations of time series derived from MCD19 product over other forest ecosystems has been missing. This study evaluated the performance of the MCD19 product over boreal forest ecosystems in North America by comparing with Collection 6 data of the MOD09GA/MYD09GA 1 km daily surface reflectance product. Specifically, we conducted comparative analysis of cloud mask, aerosol and surface reflectances between MCD19 product and MOD09 product over boreal forest ecosystems. The study presents the strategies for this comparative analysis, as well as the time series of spectral surface reflectance and NDVI derived from these two products.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMGC11K1117Z
- Keywords:
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- 1640 Remote sensing;
- GLOBAL CHANGE