Normalization of Modified Perpendicular Drought Index using LTDR and GIMMS Dataset for Drought Assessment in the United States

Author

Ghulam, Abduwasit ; Kasimu, A. ; Kusky, Tim

Author_Institution

Center for Environ. Sci., St. Louis Univ., St. Louis, MO

Volume

3

fYear

2008

fDate

7-11 July 2008

Abstract

Recently, simple methods for real-time surface dryness estimation - perpendicular drought indices based on red and near-infrared wavelengths of satellite data has been developed. In this paper, the normalized form of the method is proposed to assess droughts over U.S. great plains using long term records of the Advanced Very High Resolution Radiometer (AVHRR) from both Land Long Term Data Record (LTDR) and the Global Inventory Modeling and Mapping Studies (GIMMS) dataset.

Keywords

geophysical techniques; hydrology; rain; remote sensing; AVHRR; Advanced Very High Resolution Radiometer; GIMMS dataset; Global Inventory Modeling and Mapping Studies dataset; LTDR; Land Long Term Data Record; US great plains; drought assessment; near-infrared wavelength; perpendicular drought indices; red wavelength; surface dryness estimation; MODIS; Moisture; Radiometry; Reflectivity; Remote monitoring; Remote sensing; Satellite broadcasting; Spatial resolution; Vegetation mapping; Water resources; Droughts; drought estimation; perpendicular drought indices;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779484

Filename

4779484