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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Hydrology and Remote Sensing Laboratory » Research » Publications at this Location » Publication #341596
Research Project: Integrating Remote Sensing, Measurements and Modeling for Multi-Scale Assessment of Water Availability, Use, and Quality in Agroecosystems

Location: Hydrology and Remote Sensing Laboratory

Title: Daily monitoring of vegetation conditions and evapotranspiration at field scale by fusing multi-satellite images

Author
item Gao, Feng
item Anderson, Martha

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 5/16/2017
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Vegetation monitoring requires frequent remote sensing observations. While imagery from coarse resolution sensors such as MODIS/VIIRS can provide daily observations, they lack spatial detail to capture surface features for vegetation monitoring. The medium spatial resolution (10-100m) sensors are suited to capturing surface details at field scale, but a long revisit cycle has limited its use in describing daily surface changes. In this presentation, data fusion approaches will be examined. The system will be introduced for building daily vegetation index and evapotranspiration at field scale using multi-satellite images from different spatial and temporal resolutions. Recent applications including vegetation phenology mapping, drought monitoring and crop yield estimation will be demonstrated. The added value from high temporal and spatial resolution remote sensing data will be examined and discussed.