Paper
23 November 2011 Spring drought monitoring in Hebei plain based on a modified apparent thermal inertia method
Jian Chen, Xudong Li
Author Affiliations +
Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 800615 (2011) https://doi.org/10.1117/12.902068
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
Drought is one of the major environmental disasters in China. With the development of geographical information system and remote sensing technology, the real time monitoring drought over the large areas can be achieved. In this paper, the modified apparent thermal inertia (ATI) method was applied to monitor the drought while the traditional method was mainly used in bare soil and sparse vegetation. Taking Hebei plain as the study area, this paper calculated the apparent thermal inertia of all pixels firstly, and then got the 1km resolution classification result aggregated from 30m CCD data of HJ-1 satellite. Through analyzing the fine resolution classification result, the pure pixels were mask and the apparent thermal inertia was calculated. At last, the ATI values of all pixels were interpolated from the ATI of pure pixels via ARCGIS software. The application of the model to the announcement from Meteorological Bureau has given consistent results.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jian Chen and Xudong Li "Spring drought monitoring in Hebei plain based on a modified apparent thermal inertia method", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 800615 (23 November 2011); https://doi.org/10.1117/12.902068
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Remote sensing

MODIS

Charge-coupled devices

Satellites

CCD image sensors

Meteorology

Vegetation

Back to Top