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We aim to find the time-dependent source term in the diffusion equation from the boundary measurement, which allows for the possibility of tracing back the source of pollutants in the environment. Bas...
Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) technique utilizes the characteristics of both SAR polarimetry and Interferometry. PolInSAR technique is proved to be very useful for v...
The ancient Xi’an, China, has been suffering severe land subsidence and ground fissure hazards since the 1960s, which has affected the safety of Subways. Multi-sensor SAR data are conducted to monitor...
Increase of temperature with height in the troposphere is called temperature inversion. Parameters such as strength and depth are characteristics of temperature inversion. Inversion strength is define...
The capability of the non-linear Rahman-Pinty-Verstraete (RPV) model to 1) accurately fit a large variety of Bidirectional Reflectance Factor (BRF) fields and 2) return parameter values of interest f...
Trees in urban environments have important ecological functions, but often suffer from suboptimal environmental conditions. Chestnut (Aesculus hippocastanum) is one of the main tree species in German...
Leaf area index (LAI) is a key variable for the understanding and modelling of several eco-physiological processes within a vegetation canopy. The LAI could thus provide vital information for the man...
Automatic mapping of urban materials from remotely sensed radiance images remains difficult because of the complex physical phenomena induced by relief. Indeed, shadows and environment effects disrup...
Hyperspectral-multidirectional radiance observations of the land surface from space potentially form one of the richest sources of geobiophysical information possible. For soil-vegetation objects, th...
For water color remote sensing study of inland water body, terrestrial satellite is often a good data source, because it has high spatial resolution. However, the precision of water color remote sens...
In this paper, a multi-layered multi-scale backscattering model for a lossy medium and a neural network inversion procedure has been presented.We have used a bi-dimensional multi-scale (2D MLS) roug...
Quantification of vegetation properties plays an indispensable role in assessments of ecosystem function with leaf dry mater content (LDMC) and specific leaf area (SLA) being two important vegetatio...
The estimation of biophysical parameters of vegetation canopies from optical remote sensing data is very important for the study of land surface processes. Traditionally, this has been realised mostl...
The ocean influences global weather patterns, stores and transports heat, and supports entire ecosystems. An area of interest is the relationship between the observed backscattered power received by a...
Today, air pollutant is a big challenge for busy and big cities due to its direct effect on both human health and the environment. Tehran, as the capital city of Iran, concludes 12 million people and ...

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