Physically based retrieval of crop characteristics for improved water use estimates

摘要

The increasing scarcity of water from local to global scales requires theefficient monitoring of this valuable resource, especially in the context ofa sustainable management in irrigated agriculture. In this study, atwo-source energy balance model (TSEB) was applied to the Barrax test site.The inputs of leaf area index (LAI) and fractional vegetation cover (fCover) wereestimated from CHRIS imagery by using the traditional scaled NDVI and a look-uptable (LUT) inversion approach. The LUT was constructed by using the wellestablished SAILH + PROSPECT radiative transfer model. Simulated fluxes werecompared with tower measurements and vegetation characteristics wereevaluated with in situ LAI and fCover measurements of a range of crops from the SPARCcampaign 2004. Results showed a better retrieval performance for the LUTapproach for canopy parameters, affecting flux predictions that were relatedto land use.