Wetland Mapping in the West Siberian Lowlands with Envisat Asar Global Mode
نویسنده
چکیده
Boreal peatland covers large areas on the northern hemisphere and thus plays an important role especially as carbon storage. Results from a range of microwave sensors have already shown a large potential for hydrological applications. We tested the ScanSAR system ENVISAT ASAR Global Mode (1km) time series for wetland monitoring in boreal environments. With a simple threshold method homogeneous peatland can be identified where backscatter and thus soil moisture is high during summer. In regions with abundant open water surfaces (permafrost transition zone) a different method needs to be applied. The mean backscatter during spring snowmelt is lower than for other landcover in this area. The location specific beginning and end of the snowmelt period was thus derived from Ku-Band scatterometer data (25 km, Quikscat) and used for the extraction of spring data from the Global Mode time series. The resulting dataset allowed the identification of up to 70% of peatlands in the reference database.
منابع مشابه
Processing of Envisat Asar Wide Swath Imagery for Derivation of Biophysical Parameters of Siberian Forest - a Contribution of the German Aerospace Center to the Siberia-ii Project
RESUME Wide swath imagery of the ENVISAT Advanced Synthetic Aperture Radar (ASAR) may be used to study and map biophysical parameters of the Siberian forest. Within this study multi incidence-angle capacities of the ASAR Wide Swath (WS) mode for deriving forest types and biomass parameters are assessed. For this purpose a processing chain was set up to manage orthorectify, calibrate and analyse...
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 کاملDetection of open water dynamics with ENVISAT ASAR in support of land surface modelling at high latitudes
Wetlands are generally accepted as being the largest but least well quantified single source of methane (CH4). The extent of wetland or inundation is a key factor controlling methane emissions, both in nature and in the parameterisations used in large-scale land surface and climate models. Satellite-derived datasets of wetland extent are available on the global scale, but the resolution is rath...
متن کاملSnow Classification Algorithm for Envisat Asar
Capabilities and methods for snow mapping in mountainous areas using the Advanced Synthetic Aperture Radar (ASAR) on board of ENVISAT were investigated. For algorithm development the backscattering signatures of snow covered and snow free surfaces in Alpine valleys and on mountain slopes were studied with ASAR data of different look angles and polarizations in comparison with field measurements...
متن کاملNeural 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 کامل