Multi-Polarization ASAR Backscattering from Herbaceous Wetlands in Poyang Lake Region, China
نویسندگان
چکیده
Wetlands are one of the most important ecosystems on Earth. There is an urgent need to quantify the biophysical parameters (e.g., plant height, aboveground biomass) and map total remaining areas of wetlands in order to evaluate the ecological status of wetlands. In this study, Environmental Satellite/Advanced Synthetic Aperture Radar (ENVISAT/ASAR) dual-polarization C-band data acquired in 2005 is tested to investigate radar backscattering mechanisms with the variation of hydrological conditions during the growing cycle of two types of herbaceous wetland species, which colonize lake borders with different elevation in Poyang Lake region, China. Phragmites communis (L.) Trin. is semi-aquatic emergent vegetation with vertical stem and blade-like leaves, and the emergent Carex spp. has rhizome and long leaves. In this study, the potential of ASAR data in HH-, HV-, and VV-polarization in mapping different wetland types is examined, by observing their dynamic variations throughout the whole flooding cycle. The sensitivity of ASAR backscattering coefficients to vegetation parameters of plant height, fresh and dry biomass, and vegetation water content is also analyzed for Phragmites communis (L.) Trin. and Carex spp. The research for Phragmites communis (L.) Trin. shows that HH polarization is more sensitive to plant height and dry biomass than HV polarization. ASAR backscattering coefficients are relatively less sensitive to fresh biomass, especially in HV polarization. However, both are highly dependent on canopy water content. In contrast, the dependence of HHand HVbackscattering from Carex community on vegetation parameters is poor, and the radar backscattering mechanism is controlled by ground water level. OPEN ACCESS Remote Sens. 2014, 6 4622
منابع مشابه
Neural Network-based Analytical Model for Biomass Estimation in Poyang Lake Wetland Using Envisat Asar Data
Poyang Lake is the largest freshwater lake in China with an area of about 3,000 km2. Its wetland ecosystem has a significant impact on China’ s environment change. Traditional way to monitor biomass change on this area is to use linear or nonlinear model from TM/ETM data. In this paper we discuss the neural network algorithms(NNA) to retrieve wetland biomass from multipolarization(HH and VV) ba...
متن کاملMonitoring 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 کاملLinkage between Three Gorges Dam impacts and the dramatic recessions in China’s largest freshwater lake, Poyang Lake
Despite comprising a small portion of the earth's surface, lakes are vitally important for global ecosystem cycling. However, lake systems worldwide are extremely fragile, and many are shrinking due to changing climate and anthropogenic activities. Here, we show that Poyang Lake, the largest freshwater lake in China, has experienced a dramatic and prolonged recession, which began in late Septem...
متن کاملAbsorption and backscattering coefficients and their relations to water constituents of Poyang Lake, China.
The measurement and analysis of inherent optical properties (IOPs) of the main water constituents are necessary for remote-sensing-based water quality estimation and other ecological studies of lakes. This study aimed to measure and analyze the absorption and backscattering coefficients of the main water constituents and, further, to analyze their relations to the water constituent concentratio...
متن کاملLand-cover Change and Vulnerability to Flooding near Poyang Lake, Jiangxi Province, China
Inhabitants near Poyang Lake, in the Central Yangtze River Basin, China, are vulnerable to loss of life and livelihood because of the interactions of flooding and land-use policies and decisions. We analyzed implications of land-cover patterns for vulnerability to flooding in the Poyang Lake Region. Land-cover and change were mapped using multitemporal Landsat TM/ETM images at high and low wate...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Remote Sensing
دوره 6 شماره
صفحات -
تاریخ انتشار 2014