Title :
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
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;
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
DOI :
10.1109/IGARSS.2008.4778988
