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The vegetation optical depth (τ, tau), which describes microwave attenuation properties of vegetation, is a key parameter for vegetation biomass and soil moisture estimation. In this paper, we have implemented five semi-empirical/empirical methods for vegetation optical depth estimation. The Advanced Microwave Scanning Radiometer- Earth Observing System (AMSR-E) data and field experimental data provided...
Grasslands, and more precisely agricultural practices associated with grasslands have an important impact on water and soil quality and biodiversity. In many regions, associated with agriculture intensification, a decrease of grasslands and change in their management can be observed during the last half century. Thus, determination of grassland management types represents an important approach for...
For China, it is of great importance to be able to estimate the crop acreage in order to manage government agricultural subsidy system and guarantee food security. The objective of this study is to provide a technological support in rice acreage estimation for the country grain subsidy and investigate the potential of application of the China Environment Satellite HJ-1A/B in rice identification. For...
Wheat is the principal winter crop in Pakistan during the winter (Rabi) season and an important food staple. Several months after harvest the local crop reporting administration in Punjab Province releases wheat yield and production statistics. The statistical estimates are based on field data collected manually from a fixed list of villages. Early season wheat production forecasts allow to better...
The purpose of this study was to begin to explore the relationships between Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI observations with both measured and simulated above ground biomass (AGB), fractional green cover (FGrC), and leaf area index (LAI) for wheat in Victoria. These initial comparisons of MODIS NDVI with both measurements and simulation results indicate positive, linear...
Water delineation during flooding is an important research issue in the context of different background regions for protecting both people and agriculture. This paper compares two very important water indices for practical water mapping especially in the context of river flood management. Desert Flood Index (DFI) is a new index which has been introduced as an modification to famous MNDWI for flooding...
In this study, characteristics of land subsidence in Bandung Basin, Indonesia was estimated using the C-band ENVISAT ASAR and the L-band ALOS PALSAR data, acquired between 2002 to 2008 and 2007 to 2011, respectively. The software, GEOS-APSI (Advanced Persistent Scatterer Interferometry), was used to map the long term land displacement. GEOS-APSI is an in-house developed software by GEOS at UNSW for...
Land surface albedo is a critical physical variable controlling the distribution of radiative energy between the atmosphere and surface. In this paper, we proposed a method to estimate high temporal and spatial resolution land surface shortwave albedo. The method consisted of three main steps: 1. to generate fine-resolution shortwave albedo with Landsat-7 ETM+ data; 2. to generate coarse-resolution...
The Technologie-Erprobungs-Träger-1 (Technology Experiments Carrier - TET-1) satellite, which launched on 22nd July 2012, contains, as one of eleven experiments, an Infrared camera system designed for the detection of high temperature events (HTE), including wildfires, volcanos and other hotspots. Due to the number of experiments on the satellite, the available times for the capture of images have...
The information of water level variations in lakes and reservoirs is essential for many applications such as water resources management. The conventional in-situ measurements of water levels based on gauge station are often rarely available or difficult to be shared to the public especially for lakes in the developing countries and transboundary basins. Satellite altimetry provides an alternative...
Leaf area index is a key parameter to describe physical and biological processes of plants. Remote sensing technology offers a new method to obtain LAI at regional scales, but it generally records plants information in horizontal. Therefore, the canopy reflectance is easier to reach saturation when plants growth flourished. This paper firstly defines the issues of canopy reflectance saturation, and...
The method to derive surface temperature from top of canopy brightness temperature developed by Olioso (1995b) [20] is tested over the Avignon-Crau-Camargue area (France) using Landsat-7 ETM+ images. The difference between surface temperature and brightness temperature depends on surface emissivity, incident atmospheric radiation and the temperature itself. Differences up to 2 K were obtained for...
Land surface albedo is critical in earth radiation budget and global climate monitoring. At present, models and algorithms for land-surface albedo retrieval from diverse satellites have been well developed. However, limited sampling angles from mono-sensor and coarse temporal resolution restrict the further promotion and application of albedo. Multi-sensor observations offer more information of land...
Downwelling radiative fluxes at the surface level are estimated in near real time in the framework of the Satellite Application Facility on Land Surface Analysis (LSA SAF). This is achieved using data acquired by the geostationary Meteosat Second Generation satellite. The method for the retrieval for downwelling shortwave surface fluxes (DSSF) is based on a physical parameterization, which depends...
A new pan-sharpening approach is proposed for merging the panchromatic image and the multi-spectral image by jointly using IHS and variational method. The substitute image of the intensity component of IHS transform is the optimization solution of the proposed energy functional. The functional consists of three energy terms. The first term extracts the spatial details from the Pan image and injects...
This paper proposes an improved subspace method (ISM) for fully polarimetric synthetic aperture radar (PolSAR) image classification, which is a combination of the leaning subspace method (LSM), the averaged learning subspace method (ALSM), and the multiple similarity method (MSM). The fully polarimetric Radarsat-2 image for the Yellow River Delta of northern Shandong Province is selected to evaluate...
Tidal flat plays an import role in purifying pollutants discharged from land and in providing marine products such as oyster and many kinds of shellfishes. Oyster in tidal flat usually has rough structures, causing a strong depolarization in microwave backscattering. The signatures can be detected using multi-frequency polarimetric synthetic aperture radar (SAR) data. Strong volume and depolarization...
In this paper, we proposed an Integrated Four-component Model-based Decomposition (IFMD) based on multi-look covariance matrix integrating the selective de-orientate and the generalized volume scattering. Firstly, a generalized volume scattering model (GVSM) is adopted to substitute the volume scattering of Freeman Decomposition. Then, the Cross Polarization Correlation Coefficient is adopted as a...
In this paper, we present an accelerated fast factorized back-projection algorithm designed for bistatic SAR data. This method supports a precise bistatic SAR image reconstruction and can attain high execution efficiency. Key to this method is the optimized parallel implementation of the original algorithm that can be executed on GPU. We make effort to a parallelization of factorized back-projection...
A Quantum-Modeled Fuzzy C-Means clustering algorithm for remotely sensed multi-band image segmentation is explored and evaluated. Data sets of interest include remotely sensed multi-band imagery, which subsequent to classification is analyzed and assessed for accuracy. Results demonstrate that the algorithm exhibits improved accuracy, when compared to its classical counterpart. Moreover, in general,...
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