Use of ENVISAT ASAR Global Monitoring Mode to complement optical data in the mapping of rapid broad-scale flooding in Pakistan

نویسنده

  • D. O’Grady
چکیده

Envisat ASAR Global Monitoring Mode (GM) data are used to produce maps of the extent of the flooding in Pakistan which are made available to the rapid response effort within 24 h of acquisition. The high temporal frequency and independence of the data from cloud-free skies makes GM data a viable tool for mapping flood waters during those periods where optical satellite data are unavailable, which may be crucial to rapid response disaster planning, where thousands of lives are affected. Image differencing techniques are used, with pre-flood baseline image backscatter values being deducted from target values to eliminate regions with a permanent flood-like radar response due to volume scattering and attenuation, and to highlight the low response caused by specular reflection by open flood water. The effect of local incidence angle on the received signal is mitigated by ensuring that the deducted image is acquired from the same orbit track as the target image. Poor separability of the water class with land in areas beyond the river channels is tackled using a region-growing algorithm which seeks threshold-conformance from seed pixels at the center of the river channels. The resultant mapped extents are tested against MODIS SWIR data where available, with encouraging results. Correspondence to: D. O’Grady ([email protected])

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province

Earth Observation is a powerful tool for the detection of floods. Microwave sensors are typically favored as they deliver data enabling water detection independent of solar illumination or cloud cover conditions. However, scale issues play an important role in radar based flood mapping. Depending on the flood related phenomenon under investigation, some sensors might be more suitable than other...

متن کامل

Monitoring Water Level Seasonal Variations of Large Natural Lake Exploiting Envisat Asar Low Resolution Time Series: Application to the Poyang Lake

Within the framework of the Flood DRAGON project, an assessment of ASAR Global Monitoring (GMM) data has been carried out over the Poyang Lake, Jiangxi province, P.R. China. This study consists of one of the first assessment of low resolution ASAR data, ENVISAT low rate mode, for land applications. Sixteen ASAR GMM images, which give a good overview of an on going situation over very large area...

متن کامل

Global wave model validation using ENVISAT ASAR wave mode data

Spaceborne active radar remote sensing, e.g., radar altimeter (RA) and synthetic aperture radar (SAR) have been playing an important role in the validation of numerical wave models, particularly in open ocean. Most forecast centres also use altimeter data in the wave data assimilation process. In this paper we present validation results based on the newly developed CWAVE_ENV algorithm. SAR wave...

متن کامل

Synergetic Use of Envisat-1/ Asar Img / Apg Data and Optical Spot Xs/xi Data for Land Cover and Agricultural Crops Mapping

RESUME The paper presents the results of land cover and crops identification achieved on the basis of the time series of 27 ENVISAT -1/ ASAR images acquired in Image Mode and Alternating Polarization Mode during the 2003 observing campaign for Malbork test site in northern Poland. The results are compared with those obtained from SPOT -4 multitemporal data. High degree of their similarity has b...

متن کامل

Near Realtime Snow Covered Area Mapping with Envisat Asar Wideswath in Norwegian Mountaineous Areas

A near-real time GMES-relevant monitoring system for semi-operational retrieval of snow covered area for hydrological and climatological applications has been developed in the Envisnow EC EESD FP 5 project. The system, using ENVISAT ASAR wide swath data from ESA AOE 785 and from the Kongsberg satellite station, geocodes and classifies Envisat ASAR data automatically, and produces SCA maps with ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011