23 January 2001 Using remote sensing data to model water, carbon, and nitrogen fluxes with PROMET-V
Author Affiliations +
Abstract
The spatially distributed PROcess oriented Modular Environment and Vegetation model (PROMET-V) is presented. PROMET-V models water, carbon and nitrogen fluxes, their interactions and feedback. The model is based on physical and plant physiological equations. Remote sensing data are used to provide spatially distributed model inputs, to update model parameters and to validate model results. Dedicated interfaces were developed to use remote sensing data and to estimate key model parameters. Using LANDSAT TM data, model parameters such as plant density and frequency and date of cutting of meadows were estimated. Comparisons with ground truth measurement showed a significant improvement of the model results by using remote sensing data. Within-field biomass and LAI heterogeneities could be successfully detected. Through interactions and feedback mechanisms, the spatial patterns detected by the TM images also affect model parameters and fluxes which cannot be measured directly. The combined analysis of remotely measured and modeled parameters bears the potential to determine parameters which cannot be derived directly with either method alone, such as weed infestation or soil texture. Remote sensing data are also used to provide independent validation data. Examples are shown using soil moisture maps derived from ERS SAR data.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karl Schneider, Wolfram Mauser, "Using remote sensing data to model water, carbon, and nitrogen fluxes with PROMET-V", Proc. SPIE 4171, Remote Sensing for Agriculture, Ecosystems, and Hydrology II, (23 January 2001); doi: 10.1117/12.413930; https://doi.org/10.1117/12.413930
PROCEEDINGS
12 PAGES


SHARE
KEYWORDS
Data modeling

Remote sensing

Nitrogen

Nickel

Soil science

Atmospheric modeling

Agriculture

Back to Top