Spatial filtering analysis for quick drought assessment using MODIS images to detect drought affected areas

Author

Lin, Meng-Lung ; Sun, Fujun ; Wang, Qiubing ; Chen, Cheng-Wu ; Shiu, Yi-Shiang ; Chu, Tzu-How

Author_Institution

Dept. of Tourism, Aletheia Univ., Taipei, Taiwan

fYear

2011

fDate

24-29 July 2011

Firstpage

767

Lastpage

770

Abstract

This paper proposed to apply spatial computing methods to identify drought affected areas using satellite images. Satellite derived indices, such as Normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), standardized vegetation index (SVI) and standardized moisture index (SMI), were used to evaluate drought condition. The maps of SVI and SMI showed the areas affected by the drought. The results demonstrated the proposed method is effective and provide useful spatial information.

Keywords

geophysical image processing; hydrological techniques; rain; spatial filters; vegetation; vegetation mapping; MODIS images; NDMI; NDVI; Normalized difference vegetation index; SMI; SVI; drought affected areas detection; normalized difference moisture index; quick drought assessment; satellite derived indices; satellite images; spatial computing methods; spatial filtering analysis; spatial information; standardized moisture index; standardized vegetation index; Filtering; Indexes; MODIS; Moisture; Monitoring; Satellites; Vegetation mapping; MODIS; NDMI; NDVI; drought; spatial filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International

Conference_Location

Vancouver, BC

ISSN

2153-6996

Print_ISBN

978-1-4577-1003-2

Type

conf

DOI

10.1109/IGARSS.2011.6049243

Filename

6049243