Publications by authors named "Hai-Teng Liu"
[Land salinization information extraction method based on HSI hyperspectral and TM imagery].
Guang Pu Xue Yu Guang Pu Fen Xi
February 2014
This paper chose the typical salinization area in Kenli County of the Yellow River Delta as the study area, selected HJ-1A satellite HSI image at March 15, 2011 and TM image at March 22, 2011 as source of information, and pre-processed these data by image cropping, geometric correction and atmospheric correction. Spectral characteristics of main land use types including different degree of salinization lands, water and shoals were analyzed to find distinct bands for information extraction Land use information extraction model was built by adopting the quantitative and qualitative rules combining the spectral characteristics and the content of soil salinity. Land salinization information was extracted via image classification using decision tree method.
View Article and Find Full Text PDF[Estimation of chlorophyll content in apple tree canopy based on hyperspectral parameters].
Guang Pu Xue Yu Guang Pu Fen Xi
August 2013
Article Synopsis
- The study measured the hyperspectral reflectance of apple tree canopy during the spring growth pause using an ASD FieldSpec3 spectrometer.
- Significant spectral parameters were identified that correlate with chlorophyll content, leading to the establishment of a chlorophyll estimation model based on specific vegetation indices.
- The findings indicate that the 400-1,350 nm spectral band is sensitive for measuring chlorophyll content, with the CCI(D(794)/D(763)) index being the most effective for accurate chlorophyll prediction in apple tree canopies.