Hyperspectral remote sensing for the monitoring of plant parameters of maize (Zea mays)

Natascha Oppelt; Wolfram Mauser

doi:10.1117/12.497965

17 March 2003 Hyperspectral remote sensing for the monitoring of plant parameters of Maize (Zea Mays)

Natascha Oppelt, Wolfram Mauser

Proceedings Volume 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV; (2003) https://doi.org/10.1117/12.497965
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

Abstract

Biochemical components of vegetation canopies, such as chlorophyll and nitrogen, are among the parameters controlling physiological processes and therefore essential for the characterization of these processes and their integration in hydrological or vegetation modeling. AVIS (Airborne Visible/near Infrared imaging Spectrometer), built at the department for environmental sciences of the Ludwig-Maximilians-University Munich, is a cost-effective tool for environmental monitoring. Its spectral range lies between 550 and 1000nm and its multitemporal application enables observation of the development of chlorophyll and nitrogen content of plants throughout a vegetation period. Twelve and nine airborne data sets were gathered between April and September 1999 and 2000 respectively from three maize fields in a test site south-west of Munich in the Bavarian Alpine foothills, Germany (48° 6’, 11° 17’ E). Weekly ground-based measurements of plant parameters (plant height, phenology, biomass, nitrogen content, chlorophyll content) during the vegetation periods provided data validation. The chlorophyll and nitrogen content of the maize canopies were derived using the Chlorophyll Absorption Integral (CAI), which exhibited a high correlation with the chlorophyll content per area and the nitrogen content, both per area (g/m²) and in percentage of dry matter (nitrogen=%DM; chlorophyll=mg/g), during vegetative growth before emergence of the ear. The chlorophyll content per mass cannot be derived with the CAI, due to distinct variations of the chlorophyll per mass during plant growth caused by the low chilling tolerance of maize. The mean field values and the spatial distribution of parameter values within one of the fields will be presented, demonstrating the capabilities of AVIS.

Citation Download Citation

Natascha Oppelt and Wolfram Mauser "Hyperspectral remote sensing for the monitoring of plant parameters of Maize (Zea Mays)", Proc. SPIE 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, (17 March 2003); https://doi.org/10.1117/12.497965

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available