Hazard Survey Using Multitemporal Satellite Imagery

نویسندگان

  • C. Y. Lo
  • L. C. Chen
  • L. Y. Chang
  • C. M. Huang
چکیده

The World Bank has reported Taiwan as the most vulnerable country in terms of the percentage of exposed areas and multiplicity disaster. During the past decade, a number of natural disasters have occurred in Taiwan, especially two critical ones, i.e. Chi-Chi earthquake and Typhoon Morakot. In the first event, the earthquake was with a magnitude of 7.3 on the Richter scale and caused seriously damage on Sep. 21, 1999. The second one is Typhoon Morakot that accumulated more than 2,700 mm precipitation in 72 hours over a large coverage in Aug. 2009. The typhoon caused floods, landslides, and debris flow in the Central and South Taiwan. Therefore, the survey for the landscape change for hazard monitoring is an important task. Satellite imagery that provides capabilities to monitor landscape with large coverage area is an excellent tool for disaster survey. Landscape changes due to the earthquake and the typhoon are detected in this study. First of all, satellite images are orthorectified. Then the normalized difference vegetation indices (NDVI) are calculated to detect the vegetation changes. Considering the slope derived from a digital elevation model (DEM), the landslide areas are estimated. For Chi-Chi earthquake, we analyze the changes over last 11 years in the Central Taiwan. It is found that the landslides keep on growing for 11 years with little vegetation recovery since the earthquake in Da-Jia River areas. Another reported case is about Typhoon Morakot, which produced a huge landslide that destroyed whole Shiao-Lin village with 565 casualties. * Corresponding author.

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

Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation

A recently proposed method for automatic radiometric normalization of multiand hyperspectral imagery based on the invariance property of the Multivariate Alteration Detection (MAD) transformation and orthogonal linear regression is extended by using an iterative re-weighting scheme involving no-change probabilities. The procedure is first investigated with partly artificial data and then applie...

متن کامل

Detecting war-induced abandoned agricultural land in northeast Bosnia using multispectral, multitemporal Landsat TM imagery

The use of satellite technology by military planners has a relatively long history as a tool of warfare, but little research has used satellite technology to study the effects of war. This research addresses this gap by applying satellite remote sensing imagery to study the effects of war on land-use/land-cover change in northeast Bosnia. Though the most severe war impacts are visible at local ...

متن کامل

Automated detection of slum area change in Hyderabad, India using multitemporal satellite imagery

This paper presents an approach to automated identification of slum area change patterns in Hyderabad, India, using multi-year and multi-sensor very high resolution satellite imagery. It relies upon a lacunarity-based slum detection algorithm, combined with Cannyand LSD-based imagery pre-processing routines. This method outputs plausible and spatially explicit slum locations for the whole urban...

متن کامل

Radiometric Normalization of Landsat Etm+ Data for Multitemporal Analysis

The advantages of Remote Sensing for the knowledge of environmental dynamics are widely ascertained by scientific community. Spatial synchronization and temporal resolution of large areas have meaningfully improved quantity and quality of satellite imagery which have assumed an important role in the field of environmental monitoring. Nevertheless, preliminary processing problems of multitempora...

متن کامل

Featured-Based Algorithm for the Automated Registration of Multisensorial / Multitemporal Oceanographic Satellite Imagery

Spatial registration of multidate or multisensorial images is required for many applications in remote sensing. Automatic image registration, which has been extensively studied in other areas of image processing, is still a complex problem in the framework of remote sensing. In this work we explore an alternative strategy for a fully automatic and operational registration system capable of regi...

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 2010