Translator Disclaimer
Paper
28 October 2006 Spectral analysis and information extraction of crop disease by multi-temporal hyperspectral images
Author Affiliations +
Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 641909 (2006) https://doi.org/10.1117/12.712696
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China
Abstract
Spectrum of healthy green vegetation shows idiographic features of "peak and valley", the spectral curve will vary when crop's biochemical status changes (e.g. disease harmed). Normalized Difference Vegetation Index (NDVI) is an important vegetation index and has been proved to be very useful to vegetation change detection, vegetation classification and some parameters calculation. Based on the differences of spectra information and characteristics between multi-temporal hyperspectral images, a new adjustable vegetation index, Multi-Temporal NDVI (MT-NDVI), is provided in this paper. Comparing to the classification of Spectral Angle Mapper (SAM), mapping and analysis using MT-NDVI data can be well utilized for monitoring and recognizing crop disease from multi-temporal airborne PHI (Pushbroom Hyperspectral Imager) image data acquired at the same field. The applicable result shows that MT-NDVI is suitable way to extract crop disease information and estimate disease degrees.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ke-ming Yang, Yun-hao Chen, Da-zhi Guo, and Jin-Bao Jiang "Spectral analysis and information extraction of crop disease by multi-temporal hyperspectral images", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641909 (28 October 2006); https://doi.org/10.1117/12.712696
PROCEEDINGS
6 PAGES


SHARE
Advertisement
Advertisement
Back to Top