Next Article in Journal
Local Vegetation Trends in the Sahel of Mali and Senegal Using Long Time Series FAPAR Satellite Products and Field Measurement (1982–2010)
Next Article in Special Issue
A Combination of TsHARP and Thin Plate Spline Interpolation for Spatial Sharpening of Thermal Imagery
Previous Article in Journal
Multi-Temporal Polarimetric RADARSAT-2 for Land Cover Monitoring in Northeastern Ontario, Canada
Previous Article in Special Issue
Early Analysis of Landsat-8 Thermal Infrared Sensor Imagery of Volcanic Activity
Remote Sens. 2014, 6(3), 2393-2407; doi:10.3390/rs6032393
Article

Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan

1,2,* , 1,2,3,* , 4
, 5
 and 6
Received: 18 December 2013; in revised form: 26 February 2014 / Accepted: 3 March 2014 / Published: 19 March 2014
(This article belongs to the Special Issue Analysis of Remote Sensing Image Data)
View Full-Text   |   Download PDF [1135 KB, uploaded 19 June 2014]   |   Browse Figures
Abstract: Flood monitoring was conducted using multi-sensor data from space-borne optical, and microwave sensors; with cross-validation by ground-based rain gauges and streamflow stations along the Indus River; Pakistan. First; the optical imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) was processed to delineate the extent of the 2010 flood along Indus River; Pakistan. Moreover; the all-weather all-time capability of higher resolution imagery from the Advanced Synthetic Aperture Radar (ASAR) is used to monitor flooding in the lower Indus river basin. Then a proxy for river discharge from the Advanced Microwave Scanning Radiometer (AMSR-E) aboard NASA’s Aqua satellite and rainfall estimates from the Tropical Rainfall Measuring Mission (TRMM) are used to study streamflow time series and precipitation patterns. The AMSR-E detected water surface signal was cross-validated with ground-based river discharge observations at multiple streamflow stations along the main Indus River. A high correlation was found; as indicated by a Pearson correlation coefficient of above 0.8 for the discharge gauge stations located in the southwest of Indus River basin. It is concluded that remote-sensing data integrated from multispectral and microwave sensors could be used to supplement stream gauges in sparsely gauged large basins to monitor and detect floods.
Keywords: flood monitoring; optical sensor; microwave sensors; SAR; image analysis; image classification flood monitoring; optical sensor; microwave sensors; SAR; image analysis; image classification
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Khan, S.I.; Hong, Y.; Gourley, J.J.; Khattak, M.U.; De Groeve, T. Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan. Remote Sens. 2014, 6, 2393-2407.

AMA Style

Khan SI, Hong Y, Gourley JJ, Khattak MU, De Groeve T. Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan. Remote Sensing. 2014; 6(3):2393-2407.

Chicago/Turabian Style

Khan, Sadiq I.; Hong, Yang; Gourley, Jonathan J.; Khattak, Muhammad U.; De Groeve, Tom. 2014. "Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan." Remote Sens. 6, no. 3: 2393-2407.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert