Consideration and comparison of different remote sensing inputs for regional crop yield prediction model

Preeti Mali, Charles O'Hara, Valentine Anantharaj

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Regional crop yield prediction methods can be enhanced by the use of remote sensing based inputs to obtain an efficient and timely prediction capability. Inputs from remote sensing usually include vegetation indices and climatic information such as temperature, precipitation, solar radiation etc. The crop selected for this study is soybean. This study focuses on investigating and comparing a combination of satellite sensor characteristics and data products derived from satellite data stream inputs, with crop modeling input data requirements. The factors to be considered include the spatial, spectral and temporal characteristics of sensor characteristics and derived data products to determine objective methods for selecting model inputs that offer the most promise to improve regional soybean yield prediction.

Original languageEnglish
Title of host publicationAmerican Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006
Subtitle of host publicationProspecting for Geospatial Information Integration
Pages840-846
Number of pages7
StatePublished - 2006
Externally publishedYes
EventAnnual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration, ASPRS 2006 - Reno, NV, United States
Duration: May 1 2006May 5 2006

Publication series

NameAmerican Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration
Volume2

Conference

ConferenceAnnual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration, ASPRS 2006
Country/TerritoryUnited States
CityReno, NV
Period05/1/0605/5/06

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