Remote sensing input to GIS-integrated cotton growth model: preliminary results

Swapna Gogineni; J. Alex Thomasson; Javed Iqbal; James R. Wooten; Bulli M. Kolla; Ruixiu Sui

doi:10.1117/12.562692

9 November 2004 Remote sensing input to GIS-integrated cotton growth model: preliminary results

Swapna Gogineni, J. Alex Thomasson, Javed Iqbal, James R. Wooten, Bulli M. Kolla, Ruixiu Sui

Proceedings Volume 5544, Remote Sensing and Modeling of Ecosystems for Sustainability; (2004) https://doi.org/10.1117/12.562692
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

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.

Citation Download Citation

Swapna Gogineni, J. Alex Thomasson, Javed Iqbal, James R. Wooten, Bulli M. Kolla, and Ruixiu Sui "Remote sensing input to GIS-integrated cotton growth model: preliminary results", Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); https://doi.org/10.1117/12.562692

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