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Change detection in aerial images is the core of many remote sensing applications to analyze the dynamics of a wide area on the ground. In this paper, a remote sensing method is proposed based on viewpoint transformation and a modified Kendall rank correlation measure to detect changes in oblique aerial images. First, the different viewpoints of the aerial images are compromised and then, a local...
The paper is focused on problems related to proper selection of relatively small number of bands from hyperspectral images ensuring sufficiently accurate classification of pixels into several defined categories. Two approaches to construction of the set of spectral bands are presented. To select the most informative bands, their entropy and mutual correlation characteristics were analyzed. It is recognized...
As the most abundant inland river of water resource in Liaoning province, Hun River affords industrial and agricultural production and domestic water task in central city group of Liaoning province. Recently, dozens of sewage draining exits in different sizes are constantly discharging along Hun River. Environmental monitoring communique can discover that indicators of ammonia nitrogen and COD are...
Various remote sensing-based drought indices have been developed during the past decades. These indices have their own applicability. Examination of adaption associated with limitations in drought indices would be useful for index selection and improvement. In this study, five drought indices (e.g. the temperature condition index (TCI), vegetation condition index (VCI), vegetation health index (VHI),...
Proper determination of light use efficiency (LUE) is a prerequisite for LUE models to simulate gross primary productivity (GPP). This study was devoted to apply the photochemical reflectance index (PRI) to accurately track LUE variations for a sub-tropical coniferous forest using tower-based PRI and GPP measurements. To improve the ability of PRI to track LUE, a simple two-leaf approach is used to...
Land cover classification can be regarded as topic assignment that the pixels can be classified into different kinds of regions (e.g. road, tree, grass) according to the semantics of topics in topic model. In this paper, we present a novel probabilistic latent semantic analysis (pLSA) model based on sparsity constraint for classifying different kinds of land cover. In contrast with conventional topic...
There are two important factors to improve the accuracy of the support vector machine(SVM) classifier. First, selected training samples should uniquely represent each class. Second, SVM training parameters which are pre-defined by the user should be suitable for training samples to obtain satisfied results of the SVM classifier. The proposed method of this paper presents a technique to adjust the...
Regional monitoring of land cover conversion of natural vegetation to new informal human settlements is essential when investigating the migration of people to urbanized cities. Detecting these new settlements require reliable change detection methods. A robust change detection metric can be derived by analyzing the area under the autocorrelation function for a time series. The time dependence on...
Some spectrum indicators, such as central length, SNR, spectral resolution affect accuracy of water quality retrieval, but are ignored due to the limitations of a single sensor. Take Chlorophyll a retrieval as an example, the sensitivity analysis was conducted using single band, first-order differential and band ratio methods. The results indicated that optimal central wavelength would change because...
Using multiple endmember spectral mixture analysis, six remote sensing images of Landsat data in Wuhan area through 1991 to 2013 are unmixed to investigate the urbanization process. The result indicates that urbanization process has resulted in the transformation of the natural landscape to an anthropogenic urban built-up area. However, this transformation has not been smooth. In addition, the urbanization...
Atmospheric particulate matter estimated by using satellite data is gaining more attention due to their wide spatial coverage advantages. Here, instead of empirical statistical approach, we describe a physical-based approach that reduces the uncertainty of surface PM10 estimation from satellite data. In our approach, particulate matter mass concentration retrievals require the inclusion of optical...
Terrain measurement and surface motion estimation are key applications for SAR missions. These applications drive several SAR satellite missions in the Dragon partner countries in Europe and China. In this context, we present our work in the Dragon program on terrain measurements with results from several test sites in China.
With the Geographic Information System (GIS) analytical tools and Remote Sensing technology, the main territory's Net Primary Productivity (NPP) in China from 2001 to 2010 is estimated based on CASA model. The analysis of the temporal and spatial variations in NPP shown that NPP in the southern regions shows increase trend after the first five years' decrease, in addition, the southern region of China...
Mining activities has caused long-term change in land surface and hydrological cycle. Accurate information of vegetation structure is important for assessing how mining activities affect ecosystem in mining areas. A remote sensing method based on vegetation cover monitoring and assessment by using Landsat data sets with the temporal coverage from 1989 to 2015 was presented and applied to the Pingshuo...
The fraction of photosynthetically active radiation (FPAR) as a key biophysical variable plays an important role in gross primary production (GPP) modeling. In this study, we employed six different FPAR derived from MODIS FPAR, leaf area index (LAI), normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), respectively, which were widely used for modeling GPP in previous...
For preventing the effects of sea ice bring the serious negative impact on the maritime transport, a full-scale detection of sea ice should be performed. The BeiDou GEO satellites could provide stable geometry and better coverage in mid- and low-latitude region where most of the sea ice occur. Based on this consideration, this paper evaluates the usage of BeiDou GEO Satellites reflected signals for...
Estimating and detecting red tide is particularly challenging when using remotely sensed observations. Aqua-Terra MODIS provides a high resolution spatio-temporal coverage to detect red tide blooms. Both in-situ and satellite data were analyzed for red tide period and non-red tide period in this study. The red tide period was between September and November, 2011 while the non-red tide period was between...
Fraction of vegetation coverage (FVC), an important index to depict the conditions of land covered by vegetation, is increasingly used in monitoring grassland degradation in ecological researches. Hulunbuir Steppe is one of the best grasslands in China. So, in this study, we set Xinbaerhuyouqi, Xinbaerhuzuoqi, Chenbaerhuqi, and Ewenkezuzizhiqi as the study area. Pixel Decomposition Models was introduced...
A new method of remote sensing image registration is proposed to reduce the adverse effects on the image registration caused by the rotation transform, based on genetic-optimized multi-angle normalized cross correlation (GMNCC) to get more matched scale invariant feature transform (SIFT) feature points. The GMNCC can detect the angle-offsets (AOs) of object images to reference image by determining...
A study of the polarimetric properties of near specular scattered fields from rough surfaces is reported using a circular polarization basis. Such studies are relevant for Global Navigation Satellite System- Reflectometry (GNSS-R) remote sensing of the sea surface. Particular emphasis in the study is placed on the use of field correlations for the remote sensing of wind direction over the sea surface.
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