Soil moisture retrieval in Alpine areas with synergy of optical, SAR and terrain data
نویسندگان
چکیده
منابع مشابه
A Synergistic Methodology for Soil Moisture Estimation in an Alpine Prairie Using Radar and Optical Satellite Data
This paper presents a microwave/optical synergistic methodology to retrieve soil moisture in an alpine prairie. The methodology adequately represents the scattering behavior of the vegetation-covered area by defining the scattering of the vegetation and the soil below. The Integral Equation Method (IEM) was employed to determine the backscattering of the underlying soil. The modified Water Clou...
متن کاملSpatial Mapping of Soil Moisture Using Radarsat-1 Data
In this research, a back-propagation neural network was used to retrieve and map the surface soil moisture in Oklahoma (97d35'W, 36d15'N) from Synthetic Aperture Radar data acquired by RADARSAT-1 satellite. In addition to SAR backscattering, different vegetation-related information (vegetation optical depth and Normalized Difference Vegetation Index) have been added as additional inputs to the ...
متن کاملSoil moisture retrieval over irrigated grassland using X-band SAR data
The aim of this study was to develop an inversion approach to estimate surface soil 19 moisture from X-band SAR data over irrigated grassland areas. This approach simulates a 20 coupling scenario between Synthetic Aperture Radar (SAR) and optical images through the 21 Water Cloud Model (WCM). A time series of SAR (TerraSAR-X and COSMO-SkyMed) and 22
متن کاملSoil moisture retrieval through a merging of multi-temporal L-band SAR data and hydrologic modelling
The objective of the study is to investigate the potential of retrieving superficial soil moisture content (mv) from multi-temporal L-band synthetic aperture radar (SAR) data and hydrologic modelling. The study focuses on assessing the performances of an L-band SAR retrieval algorithm intended for agricultural areas and for watershed spatial scales (e.g. from 100 to 10 000 km2). The algorithm t...
متن کاملEvaluation of Radarsat-sar Data for Detection of Terrain Features
The space borne multispectral optical sensor data have been routinely used for assessment and monitoring of natural resources and environment. One of the major problems associated with the optical data is the availability of cloud-free data during rainy season Cloud-penetration capability of microwave sensors data offers immense potential in the study of highly dynamic phenomenon like floods. W...
متن کامل