Assessing Crop Residue Cover Using Hyperion Data

Author

Monty, J.G. ; Crawford, M. ; Daughtry, C.S.T.

Author_Institution

Lab. for the Applic. of Remote Sensing, Purdue Univ., West Lafayette, IN

Volume

2

fYear

2008

fDate

7-11 July 2008

Abstract

Estimation of crop residue has increasing relevance for agricultural land management related to erosion, carbon sequestration and water quality. Automated methods utilizing remotely sensed data potentially provide capability to accomplish this over large areas with greater accuracy and at lower cost than traditional "windscreen" surveys. This study investigated application of the cellulose absorption index (CAI) and constrained linear spectral mixing analysis (CLSMA) to Hyperion hyperspectral data to estimate soy and corn crop residue coverage on agricultural lands in Indiana.

Keywords

agriculture; atmospheric boundary layer; atmospheric optics; atmospheric spectra; atmospheric techniques; climate mitigation; crops; erosion; geophysical signal processing; remote sensing; water quality; Hyperion; Indiana; USA; agricultural land management; carbon sequestration; cellulose absorption index; constrained linear spectral mixing analysis; corn; crop residue coverage; crop residue estimation; erosion; hyperspectral data; remotely sensed data; soy; water quality; windscreen surveys; Absorption; Computer aided instruction; Crops; Hyperspectral imaging; Hyperspectral sensors; Instruments; Laboratories; Remote sensing; Signal resolution; Soil; CAI; CLSMA; Crop residue; Hyperion; hyperspectral;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4778988

Filename

4778988