Share Email Print

Proceedings Paper

Remote sensing input to GIS-integrated cotton growth model: preliminary results
Author(s): Swapna Gogineni; J. Alex Thomasson; Javed Iqbal; James R. Wooten; Bulli M. Kolla; Ruixiu Sui
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

External-interface computer code has been written for the cotton growth model, Gossym, such that it can be operated from the ArcView GIS interface. Remote-sensing data have been incorporated as an estimator of plant height for feedback to the model. Management zones are delineated automatically based on available spatially variable data, and Gossym subsequently calculates outputs for each management zone, and uses current remote-sensing data in the calculations. This advanced Gossym model system also gathers local weather data automatically over the internet. Development and use of the model system are also described. Site-specific field data and remotely sensed images have been collected extensively on two agricultural fields in Mississippi from 1998 through 2003. Evaluation of yield prediction based on the Gossym model system indicated that current remote-sensing data can enhance accuracy. Details of experimentation and data analysis are presented.

Paper Details

Date Published: 9 November 2004
PDF: 12 pages
Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); doi: 10.1117/12.562692
Show Author Affiliations
Swapna Gogineni, Mississippi State Univ. (United States)
J. Alex Thomasson, Mississippi State Univ. (United States)
Javed Iqbal, Mississippi State Univ. (United States)
James R. Wooten, Mississippi State Univ. (United States)
Bulli M. Kolla, Mississippi State Univ. (United States)
Ruixiu Sui, Mississippi State Univ. (United States)

Published in SPIE Proceedings Vol. 5544:
Remote Sensing and Modeling of Ecosystems for Sustainability
Wei Gao; David R. Shaw, Editor(s)

© SPIE. Terms of Use
Back to Top