Extraction of Water Body Based on LandSat TM5 Imagery - A Case Study in the Yangtze River

نویسندگان

  • Zhongshi Tang
  • Wenhao Ou
  • Yue Dai
  • Yu Xin
چکیده

A improved method named vegetation normalized difference water index (VNDWI) has been proposed in this paper based on NEW of Xiao Yun-fang(2010), which uses Band 1 and Band 7 and the normalized difference vegetation index (NDVI) in TM5 imagery to construct the VNDWI. This method has been tested in the Yangtze River Basin, and compares the results with other methods is the best. Due to the reflection characteristics differences between water and cloud, NEW method cannot distinguish the differences effectively. However, joins the NDVI parameter, VNDWI can enhance the difference between water and cloud, so it can remove clouds and its shadow noise from water body information without using complicated procedures, which is particular difficult work should be done in pretreatment.

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

Evaluation of Water Extraction Indices Using Landsat Satellite Images (Case Study: Gamasiab River of Kermanshah)

Water is one of most important human needs for life. According to importance of subject, discussion of management and utilization of water resources has become one of the most important global issues. Remote sensing data are often used in water body extraction studies and type of remote sensing data used plays an important role in water body extraction. In this study, ability of Landsat satelli...

متن کامل

Comparative analysis of remote sensing water indexes for wetland water body monitoring using Landsat images and the Google Earth Engine Platform0 (A Case study: Meighan Wetland, Iran)

Wetlands are dynamic and complex aquatic ecosystems that play an important role in the survival of many plant and animal species. This study modeled the spatio-temporal changes of the Arak Meighan wetland during 1985–2020 using the multi-temporal Landsat images. In doing so, the applicability of different satellite-derived indexes including NDVI, NDWI, MNDWI, AWEIsh , AWEInsh , and WRI was inve...

متن کامل

Recognizing the eroded areas using the surface albedo algorithm of Landsat 8 satellite imagery (case study of basin Jajrood)

Soil is one of the most important natural resources of any country. the erosion causes not only the depletion of the soil and the loss of the land, causing great and irreparable damages, but also with the deposition of materials in streams, reservoirs, ports, and reduced pool capacity. Therefore, it should not be underestimated. In this study, we identify and zoning of the erosion areas in the ...

متن کامل

Comparing the Capability of Sentinel 2 and Landsat 8 Satellite Imagery in Land Use and Land Cover Mapping Using Pixel-based and Object-based Classification Methods

Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...

متن کامل

Investigation of morphology changes in Karun River and its hazards (Case Study: Bandagir to Khorramshahr)

Studying the morphology of the rivers and identifying the causes of these changes are widely useful in determining the evolution of rivers and planning the maintenance of the river system. The Karun River, between Bandar-e-Khoramshahr and the constant flow of water in the country, plays an important role in the country's water cycle. Due to the morphological changes of this river that have disr...

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 2012