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In recent years, combining spatial and timely remote sensing data and crop growth model is an important way to improve accuracy of crop growth simulation and crop growth monitoring. In this paper, global optimization algorithm SCE-UA (Shuffled Complex Evolution method - University of Arizona) was used to integrate remotely sensed leaf area index (LAI) with EPIC crop growth model to simulate regional...
Spatial and temporal mismatches between coarse resolution output of global climate models (GCMs) and fine resolution data requirements of crop models are the major obstacles for assessing the site-specific climatic impacts of climate change on the production of winter wheat. Based on the output of IPCC AR4 model and observation data, statistical downscaling of precipitation, minimum temperature, and...
In this paper, we investigate the potential of large-scale mosaics of Synthetic Aperture Radar (SAR) data for land cover mapping. The study is based on a wall-to-wall mosaic of double-polarization data (HH and HV) from the L-band sensor PALSAR, covering the whole African continent at a spatial resolution of about 100m. The GlobCover 2009 global land cover map is taken as a reference for the training...
In this paper, we have evaluated unsupervised unmixing approach (VCA) for the application of crop yield estimation. The results show that abundance maps of the vegetation extracted by both approaches are strongly correlated to the yield data (the correlation coefficients are between 0.7 to 0.8). The results validate the higher efficiency of the unsupervised unmixing approaches compared with the supervised...
Assessment of the effect of multiangular polarized incident light on the bidirectional reflectance factor (BRF) of vegetation and soil samples is presented in this paper. The samples were evaluated with a reference to 99% white Spectralon calibration standard in the UV-VIS-NIR spectral range. The BRF of the samples was found to be strongly influenced by the polarization of the incident light at different...
Based on the data of meteorological and hydrological collected from 1961 to 2004, the cause have been analyzed on the lowest runoff in the upper reaches of yellow River in recent years in this paper. The results indicate runoff recorded exhibited slight decrease trend from 1961 to 2004, but there is a notable decrease trend of runoff since 1990. It is noteworthy that low stream continued 15 years...
A primary analysis was applied to analyze the effects of degradation of frozen soil on the alpine vegetation ecosystem based on the investigation data from 92 vegetation plots sampled in 2010 and 30m- normalized difference vegetation index (NDVI) data of these plots across the ground temperature of permafrost in the Datong river source region, on the northeastern edge of the Qinghai-Tibet plateau...
In this paper the Bhattacharyya distance and the divergence are derived as two different measures of target class separability based on the central complex multivariate Gaussian and Wishart distributions with unequal covariance matrices. The derived Bhattacharyya distances for the two distributions, respectively, differ only in terms of a simple multiplier, i.e. the number of degrees of freedom (also...
Monitoring of snow cover is crucial to the study of global climate changes, for water resource management, as well flood and avalanche risk prevention. The sensitivity of X-band backscattering of Cosmo-Skymed mission has been first exploited by using model simulation and experimental data. An algorithm for retrieving snow depth or snow water equivalent has been then developed and test with experimental...
Annually large areas of northern hemisphere freeze and are covered with snow. This paper presents results from synthetic aperture radiometer measurements of soils in unfrozen and frozen state and examines changes in their L-band emissivity.
A digital elevation model (DEM) has been generated from ALOS-PRISM triplet stereo imagery of the Manawatu and Wanganui regions, New Zealand, for use in high-country soil mapping. The PRISM imagery suffers from block and high-frequency JPEG compression artifacts, as well as column and inter-CCD striping. Although some of these artifacts have been suppressed in the PRISM processing chain from October...
By analyzing the relationship between midday soil heat flux (Gm) and apparent thermal inertia (ATI) by time series observations from YuCheng agroecological station, CAS, a method of estimating midday G by ATI was presented in the paper. ATI method is shown to have the close agreement with the observations. In situ observations from 2003 to 2005 were used to determine the coefficients of the formulation...
In this paper we present an integrated approach to COSMO-SkyMed image analysis and classification exploiting integration of different data of the regions of interest, namely urban forestry areas, wide urban parks. The aim is to provide a methodology for exploiting complex data structures built upon multi resolution grids gathering together with optical and X-SAR images, also historical land exploitation...
Being source of Inland River in arid areas, the mountain landscape pattern influence the hydrological process, and play an important role in ecological balance. It is essential for us to understand landscape pattern dynamic changes and the driving forces to estimate the characteristics of development the landscape pattern and water resource. However, knowledge of the grassland degradation in vertical...
China Agriculture Remote Sensing Monitoring System (CHARMS) was established in 2001 by the Ministry of Agriculture of China. The main tasks of CHARMS are to monitor agricultural condition with remote sensing and other techniques and to provide basic information for government decision-making and agricultural production management. The European crop growth monitoring system (EU-CGMS) has been studied,...
This paper describes a slope failure detection method by using high resolution SAR satellite images when the disaster occurs. We have proposed the detection method of slope failures by using the optical sensor image in such a situation. The optical sensor images are not applied to observe the ground surfaces if the clouds cover the suffered area. On the other hand, the SAR images are effective for...
This paper proposes a new framework for automatic interpretation, especially for change interpretation, in order to implement insightful and versatile interpretation like manual interpretation. The framework considers remote sensing data analysis as a knowledge information processing. For handling large amount of knowledge on computers consistently, the framework employs double-layered knowledge structure;...
An underlying assumption in retrievals of biophysical and geological parameters from remotely sensed satellite data is an existence of inter-band relationship. Such relationships are often visualized as isolines in cross plots of reflectance spectra. One type of isolines observed under constant soil properties is the soil isoline, which would provide useful information in retrievals of soil parameters...
In order to estimate soil roughness, evaluation of rough surface parameters, such as rms height and correlation length, using measured surface height-profile of finite length is often required. In an actual measurement situation, however, it is difficult to get the surface height-profile in pure form because mean and trend (or bias and inclination angle) of the measured data are unknown. In this study,...
Simulation of brightness temperature and related snow parameters is essential to understand the microwave emission property and its evolution with change of the snow-soil system status. In this paper, a typical thin snow pack on North China Plain is measured on Nov 13–16th, 2009 at Luancheng test site HUT (Helsinki University of Technology) wet snow emission model is used to predict the brightness...
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