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The component soil moisture within one mixed-pixel is important for predicting soil moisture contents in eco-hydrological research in arid and semi-arid regions. The multi-angular observations of passive microwave remote sensing provide the possibility to derive mixed-pixel component soil moisture. In this study, a field experiment was carried out using a truck-mounted multi-frequency microwave radiometer...
The effective vegetation optical depth (EVOD), plays an important role in vegetation monitoring and land key parameters retrieval. In this study, we attempt to retrieve the EVOD using time-series AMSR-E data at SNOTEL[839] site for a case study. It is found that at site scale the retrieved EVOD can capture the overall trend of the vegetation growth. However, phase differences are found between EVOD...
InSAR interferogram quality assessment is a key step for the using of interferogram map. Traditionally, the interferogram is qualitatively assessed visually and quantitatively assessed by the number of residues. However, the important structure information is hardly quantifiable. This paper presents a novel index to evaluate the quality of InSAR interferogram based on connected area. After discomposing...
Remote sensing image is one of the most important data source for geographic information system. In 2015, China has conducted a standard point approval mission to update and improve the results of the first geographic conditions census. Majority of the geographic information was extracted from optical remote sensing image of satellite. An overall planning technique was introduced to optimize the usage...
Soil moisture is a critical factor in cosmopolitan meteorological and hydrological processes. Microwave remote sensing brightness temperature is sensitive to soil moisture through the effects of moisture on the dielectric constant and hence emissivity of the soil [1]. It was found that the brightness temperature at L-band is useful for retrieving near-surface soil moisture [2–3]. The Soil Moisture...
Soil moisture (SM) is a key variable in describing land surface characteristics. However, most passive microwave sensed soil moisture products are spatially and temporally discontinuous. In this study, a recurrent autoregressive neural network was investigated for its capability to reconstruct time-series soil moisture. The train dataset was collected from the observations of AMSR2 and SMOS, along...
Passive microwave remote sensing provide soil moisture product. The problem of validation of soil moisture products is that the true soil moisture of such a large pixel is difficult to estimate. This paper is a preliminary research on how to measure the true soil moisture of a 30m×30m quadrat. The results suggest that 20 measurement in such a quadrat should gave a reliable estimation of the soil moisture...
In this study, winter wheat water content was retrieved using a parameterized relationship between the winter wheat water content and its structure parameters, i.e. radius, length and thickness of the leaves. The parameterized relationship was constructed from a large quantity of simulated attenuation cross section (Qe) of the winter wheat leaves based on the Generalized Rayleigh-Gans approximation...
A ground based experiment measuring relief effects on microwave radiation at C band (6.925GHz) was carried on. According to the results of the field observation, relief effects were dived into primary and secondary effects. Both effects based we developed a relief effect simulated model that provides a reliable method to describe microwave radiation properties over mountain areas.
Vegetation water content (VWC) is a useful parameter in agriculture, forestry and hydrology studies. It is particularly valuable in accounting for vegetation effects in retrieving soil moisture using microwave radiometers. Microwave vegetation indices (MVIs) reflect information of the whole vegetation canopy. They may provide a mean for estimating VWC. In this study, a methodology for retrieving VWC...
By using MSS image and TM image, the 5 period spatial data set of land cover in yellow river source region has been achieved. Then the paper analyzes the spatial pattern of land cover changes in last 30 years, and Ecological changes and trends in the area by extracting varieties landscape index, land cover conversion index and land cover state index etc. The results show: the land cover state index...
The automatic recognition of images has been always one of preceding issues in the filed of remote sensing. From traditional algorithm of K-Means, maximum likelihood to new decision tree, neural networks, wavelet transform and fuzzy recognition system, the classification accuracy has been improved. In this work, based on Decision Tree Classification (DTC) and Landsat ETM+ data, Ejina Oasis land cover...
Soil moisture is an important variable in the process of water and energy exchanges at the land surface. Passive microwave remote sensing techniques have great potential for its frequent coverage, low data rates, and simpler data processing, but with poor spatial resolution, which resulted in sub-pixel heterogeneity. To study the effect of spatial heterogeneity of soil parameters on the retrieval...
Aquaculture area monitoring is of great importance for coastal zone sustainable management and planning. This paper focuses on the development and assessment of an automatic approach for aquaculture mapping in coastal zone from TM imagery. The contribution mainly consists of three aspects: first, utilizes the Multi-scale segmentation/object relationship modeling (MSS/ORM) strategy on the object based...
The accuracy of earth observation can be effected by the degree of the retrograde remote sensing image. The conventional image restoration operations, the complexity of the image is not considered, potentially good fitness individuals are often discarded by deterministic evaluation function. To solve these problems, fuzzy genetic algorithm (FGA) is proposed on the base of genetic algorithm. Uncertainty...
Aiming at resolving the issue of Sand and Dust Storm (SDS) location in a remote sensing image, a new method is proposed in this paper to detect the center and intensity of a SDS automatically. First, SDS coverage area is extracted from remote sensing images by 2D-Otsu algorithm combined with fuzzy entropy, and the PSO algorithm is implemented to accelerate the process of global threshold selection...
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