Estimating net ecosystem exchange of carbon using the normalized difference vegetation index and an ecosystem model
Creators
- 1. Flemish Inst. for Technological Research, Mol (Belgium)
Description
The evaluation and prediction of changes in carbon dynamics at the ecosystem level is a key issue in studies of global change. An operational concept for the determination of carbon fluxes for the Belgian territory is the goal of the presented study. The approach is based on the integration of remotely sensed data into ecosystem models in order to evaluate photosynthetic assimilation and net ecosystem exchange (NEE). Remote sensing can be developed as an operational tool to determine the fraction of absorbed photosynthetically active radiation (feAR). A review of the methodological approach of mapping fPAR dynamics at the regional scale by means of NOAA11-A VHRR / 2 data for the year 1990 is given. The processing sequence from raw radiance values to fPAR is presented. An interesting aspect of incorporating remote sensing derived fPAR in ecosystem models is the potential for modeling actual as opposed to potential vegetation. Further work should prove whether the concepts presented and the assumptions made in this study are valid. (NEE). Complex ecosystem models with a highly predictive value for a specific ecosystem are generally not suitable for global or regional applications, since they require a substantial set of ancillary data becoming increasingly larger with increasing complexity of the model. The ideal model for our purpose is one that is simple enough to be used in global scale modeling, and which can be adapted for different ecosystems or vegetation types. The fraction of absorbed photosynthetically active radiation (fPAR) during the growing season determines in part net photosynthesis and phytomass production (Ruimy, 1995). Remotely measured red and near-infrared spectral reflectances can be used to estimate fPAR. Therefore, a possible approach is to estimate net photosynthesis, phytomass, and NEE from a combination of satellite data and an ecosystem model that includes carbon dynamics. It has to be stated that some parts of the work presented in this publication are a description of concepts. Other parts are descriptions of methodology and case studies of the concepts developed. (author)
Additional details
Publishing Information
- Journal Title
- Remote sensing of environment
- Journal Volume
- 58
- Journal Issue
- 1
- Journal Page Range
- p. 115-130
- ISSN
- 0034-4257
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 46084911
- Subject category
- S54: ENVIRONMENTAL SCIENCES; S60: APPLIED LIFE SCIENCES;
- Descriptors DEI
- CANOPIES; CARBON; ECOSYSTEMS; PHOTOSYNTHESIS; PLANTS; REMOTE SENSING; SEASONAL VARIATIONS
- Descriptors DEC
- CHEMICAL REACTIONS; ELEMENTS; NONMETALS; PHOTOCHEMICAL REACTIONS; SYNTHESIS; VARIATIONS
Optional Information
- Notes
- FAO/AGRIS record; ARN: US9704347