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 ...
Flood disasters in Southeast Asia result in significant loss of life and economic damage. Remote sen...
The paper presents a moderate resolution imaging spectroradiometer (MODIS) time-series imagery-based...
Detecting and forecasting riverine floods is of paramount importance for adequate disaster risk mana...
Flood monitoring was conducted using multi-sensor data from space-borne optical, and microwave senso...
Envisat ASAR Global Monitoring Mode (GM) data are used to produce maps of the extent of the flooding...
Water is an essential natural resource, but increasingly water also forms a threat to the human popu...
Water is an essential natural resource, but increasingly water also forms a threat to the human popu...
Natural disasters cause human sufferings and property loss, if not managed properly. It cannot be pr...
AbstractRemote Sensing has made substantial contribution in flood monitoring and damage assessment t...
While historically significant for ancient civilizations, the Indus basin is also known for its floo...
Floods are brutal, catastrophic natural hazards which affect most human beings in terms of economy a...
Rivers play an essential role to humans and ecosystems, but they also burst their banks during flood...
Flooding represents a serious threat to millions of people around the world and its hazard is rising...
Over last decades, we have witnessed an upward global trend in natural disaster occurrence. Hydrolog...
Timely and frequently updated information about flood-affected areas and their space-time evolution ...
Flood disasters in Southeast Asia result in significant loss of life and economic damage. Remote sen...
The paper presents a moderate resolution imaging spectroradiometer (MODIS) time-series imagery-based...
Detecting and forecasting riverine floods is of paramount importance for adequate disaster risk mana...
Flood monitoring was conducted using multi-sensor data from space-borne optical, and microwave senso...
Envisat ASAR Global Monitoring Mode (GM) data are used to produce maps of the extent of the flooding...
Water is an essential natural resource, but increasingly water also forms a threat to the human popu...
Water is an essential natural resource, but increasingly water also forms a threat to the human popu...
Natural disasters cause human sufferings and property loss, if not managed properly. It cannot be pr...
AbstractRemote Sensing has made substantial contribution in flood monitoring and damage assessment t...
While historically significant for ancient civilizations, the Indus basin is also known for its floo...
Floods are brutal, catastrophic natural hazards which affect most human beings in terms of economy a...
Rivers play an essential role to humans and ecosystems, but they also burst their banks during flood...
Flooding represents a serious threat to millions of people around the world and its hazard is rising...
Over last decades, we have witnessed an upward global trend in natural disaster occurrence. Hydrolog...
Timely and frequently updated information about flood-affected areas and their space-time evolution ...
Flood disasters in Southeast Asia result in significant loss of life and economic damage. Remote sen...
The paper presents a moderate resolution imaging spectroradiometer (MODIS) time-series imagery-based...
Detecting and forecasting riverine floods is of paramount importance for adequate disaster risk mana...