Monitoring Phenology in a Deciduous Urban Woodlot 2018-2019 Using the Recently Launched VENµS Micro-satellite Data
Abstract
Satellite data have been proven to successfully monitor land surface phenology over space and time. Currently, freely available satellite-derived phenology products either have (i) high temporal resolution but low spatial resolution, such as, MODIS (daily return time; 250m spatial resolution) or (ii) high spatial resolution but low temporal resolution, such as, Landsat (30m; 16-day return time). Accordingly, MODIS or AVHRR phenology products are mainly used in detecting large-scale phenological variation, while, due to its coarse time resolution Landsat is often used at a local or regional scale to detect seasonal peaks. Therefore, there is a growing need for both high spatial and temporal resolution satellite data at a local/regional scale to better understand the relationship between satellite monitoring and ground phenological observations. In this study, we will examine measurements from the VENμS (Vegetation and Environment monitoring on a New Micro-Satellite) satellite which was recently (2017) launched by the Israeli Space Agency and CNES in France. It has a two-day return time coupled with a 5-10 meter spatial resolution. We plan to compare these high-resolution satellite measurements to detailed ground phenological monitoring (including both tree and shrub phenology) in an urban woodlot in Milwaukee, Wisconsin, USA. Three questions will be addressed in this study (i) what exact phenophases correspond to NDVI and EVI determined start, peak, and end of the season? (ii) can VENμS detect variation in shrub phenology especially at the extremes of the growing season? and (iii) how is MODIS MAIAC determined phenology related to this detailed VENμS phenology? We anticipate that the high resolution VENμS data will improve the accuracy of phenological measurements over time and space which in turn could help inform forest management and conservation plans.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.B11N2354Y
- Keywords:
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- 0439 Ecosystems;
- structure and dynamics;
- BIOGEOSCIENCES;
- 0466 Modeling;
- BIOGEOSCIENCES;
- 0476 Plant ecology;
- BIOGEOSCIENCES;
- 0480 Remote sensing;
- BIOGEOSCIENCES