GC22D-06
HyspIRI Measurements of Agricultural Systems in California: 2013-2015
Tuesday, 15 December 2015: 11:35
3014 (Moscone West)
Philip A Townsend1, Eric L Kruger2, Aditya Singh3, Andrew D Jablonski2, Steve Kochaver2 and Shawn Serbin4, (1)University of Wisconsin, Madison, WI, United States, (2)University of Wisconsin-Madison, Forest and Wildlife Ecology, Madison, WI, United States, (3)University of Wisconsin Madison, Madison, WI, United States, (4)Brookhaven National Laboratory, Upton, NY, United States
Abstract:
During 2013-2015, NASA collected high-altitude AVIRIS hyperspectral and MASTER thermal infrared imagery across large swaths of California in support of the HyspIRI planning and prototyping activities. During these campaigns, we made extensive measurements of photosynthetic capacity—Vcmax and Jmax—and their temperature sensitivities across a range of sites, crop types and environmental conditions. Our objectives were to characterize the physiological diversity of agricultural vegetation in California and develop generalizable algorithms to map these physiological parameters across several image acquisitions, regardless of crop type and canopy temperatures. We employed AVIRIS imagery to scale and estimate the vegetation parameters and MASTER surface temperature to provide context, since physiology responds exponentially to leaf temperature. We demonstrate a segmentation approach to disentangling leaf and background soil temperature, and then illustrate our retrievals of Vcmax and Jmax during overflight conditions across a large number of the 2013-2015 HyspIRI acquisitions. Our results show >80% repeatability (R2) across split sample jack-knifing, with RMSEs within 15% of the range of our data. The approach was robust across crop types (e.g., grape, almond, pistachio, avocado, pomegranate, oats, peppers, citrus, date palm, alfalfa, melons, beets) and leaf temperatures. A global imaging spectroscopy system such as HyspIRI will offer unprecedented ability to monitor agricultural crop performance under widely varying surface conditions.