Biomass modeling of four water intensiveleading world crops using hyperspectral narrowbands in support of HyspIRI Mission

Photogrammetric Engineering and Remote Sensing
By:  and 

Links

Abstract

New satellite missions are expected to record high spectral resolution information globally and consistently for the first time, so it is important to identify modeling techniques that take advantage of these new data. In this paper, we estimate biomass for four major crops using ground-based hyperspectral narrowbands. The spectra and their derivatives are evaluated using three modeling techniques: two-band hyperspectral vegetation indices (HVIs), multiple band-HVIs (MB-HVIs) developed from Sequential Search Methods (SSM), and MB-HVIs developed from Principal Component Regression. Overall, the two-band HVIs and MB-HVIs developed from SSMs using first derivative transformed spectra in the visible blue and green and NIR explained more biomass variability and had lower error than the other approaches or transformations; however a better search criterion needs to be developed in order to reflect the true ability of the two-band HVI approach. Short-Wave Infrared 1 (1000 to 1700 nm) proved less effective, but still important in the final models.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Biomass modeling of four water intensiveleading world crops using hyperspectral narrowbands in support of HyspIRI Mission
Series title Photogrammetric Engineering and Remote Sensing
DOI 10.14358/PERS.80.8.757
Volume 80
Issue 8
Year Published 2014
Language English
Publisher American Society for Photogrammetry and Remote Sensing
Contributing office(s) Western Geographic Science Center
Description 16 p.
First page 757
Last page 772