Title :
Research on hyperspectral reflectance characteristics for spring wheat in rainfed agriculture areas of Loess Plateau
Author :
Xiaoping Wang ; Ni guo Jing wang
Author_Institution :
Inst. of Arid Meteorol., Lanzhou
Abstract :
Diagnosis of crop growth and nutrient status is critical for prediction of agriculture yield and quality at Growth stage. An experiment was conducted for find out spr-wheat canopy and leaf spectral characters non-destructively measurement. The experiment included four cultivars and seven levels of density (D) in 2006. Hyperspectral canopy and leaf reflectance (350-2500 nm) data recorded at various growth stages were measured by an ASD Field Spec Pro FR2500 in different stages, and the contents of Leaf area indices (LAI) of spr-wheat , measured by a LAI2000 plant canopy analyzer, ground dry biomass(ADM) and the plant height(PH) to the spectra were determined. The results revealed that the spectral differences were clear for the canopy and leaves of spr- wheat under different density levels at booting and ripening stage. The hyperspectral reflectance of the canopy and the leaf for four species spr-wheat in the same density were compared and it indicated that there is obviously difference in these four kinds spr-wheat leaf spectral reflectance in NIR region at booting stage. This indicates the possibility to identify the wheat type using the hyperspectral reflectance data. Furthermore, the red edge feature showed there were "double peak" for the spr-wheat at booting stage and the \´blue shift\´ phenomena for the position of red edge (lambdared )from booting to ripening, meanwhile, the results showed that the lambdared, Dlambdared and Sred were the sign of the wheat growing. And lambdared may indicate the grown period. The LAI, ADM were significantly correlative to the spectral variables, and the relationship among NDVI and LAI and ADM is the best at booming stage and that of the ratio of the NIR and green and LAI and ADM is the best at ripening stage. Dlambdared and PH are good correlation. This indicated that some right spectral variables would be used to estimate the biophysical parameters for spr-whea- t.
Keywords :
agriculture; crops; geophysical techniques; remote sensing; AD 2006; ASD Field Spec Pro FR2500; LAI2000 plant canopy analyzer; Loess plateau; agriculture quality prediction; agriculture yield prediction; crop growth diagnosis; crop nutrient status diagnosis; ground dry biomass; hyperspectral canopy reflectance; hyperspectral leaf reflectance; leaf area indices; leaf spectral characteristics; rainfed agriculture areas; spring wheat booting; spring wheat hyperspectral reflectance; spring wheat ripening; wavelength 350 nm to 2500 nm; Agriculture; Crops; Hyperspectral imaging; Hyperspectral sensors; Laboratories; Local area networks; Meteorology; Reflectivity; Remote monitoring; Springs; Spr-wheat; hyperspectral reflectance; red edge parameter; spectral; variable;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423548