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In the traditional classification method, for the pixels, which the proportion of vegetation distribution is small, that is, the area occupied by vegetation in the pixel is less than half a pixel, they are often considered as a non-vegetation area. Such problems, in the highly developed cities, are the most common. Therefore, in order to more accurately compute the highly developed, especially hardened...
Solar-induced chlorophyll fluorescence (SIF) is a direct indicator of vegetation photosynthesis. Time-series in-situ SIF data enable better understanding of SIF-photosynthesis relationship. However, continuous seasonal SIF data is extremely lack due to several technical problems for ground-based long-term SIF observation systems. One of the major problems is it is difficult to measure radiance and...
Since hyperspectral remote sensing (HRS) came in the middle 1980s, a number of hyperspectral imagers (e.g., EO-1 Hyperion) have been developed all over the world. China, as one of the pioneers in HRS technology development, also has been active and contributed significantly to the HRS community. This paper updates recent advances and future plans in Chinese developments in spaceborne imaging spectroscopy...
Solar-induced chlorophyll fluorescence (SIF) has been considered a direct proxy in monitoring vegetation actual photosynthesis. However, applications in the Earth science have been greatly limited due to challenges in use of remotely sensed SIF. This is because the linkage between vegetation actual photosynthesis and SIF retrieved from the canopy reflected radiance exists numerous uncertainties. It...
The light-use efficiency (LUE) is one of critical parameters in the terrestrial ecosystem production studies. Although some published paper on the LUE in cropland had used hyperspectral data, lack of study in literature investigated the cropland LUE using the surface reflectance with high spatiotemporal and high spectral data with multiple angles. Based on the observed reflectance and flux data, a...
A new software have been developed for multidimensional analysis for remote sensing application. A new data storage structure named “mdd” for storing long time series remotely sensed data with spatial, temporal and spectral dimensions was induced as well as. Five data formats were included within the multidimensional data storage, which were TSB, TSP, TIB, TIP and TIS. MARS can be used for building...
Diagnostic absorption feature has the potential to be the key factor of mineral information extraction in vegetation-covered region. Reference Spectral Background Removal (RSBR) could simulate the background curve based on the reference spectral background, and eliminate the influence through the background removal process. In this paper, RSBR was introduced into to mineral absorption feature extraction...
In this paper, the ground truth information is introduced to improve the accuracy of hyperspectral unmixing based on nonnegative matrix factorization. Specifically, the partial known endmembers which could be surveyed is introduced in NMF model. The relationship between the known and unknown endmembers are explored. The distance function is designed to describe the relationship and combined with NMF...
Remote sensing of sun-induced chlorophyll fluorescence (SIF) has recently attracted major interest as the SIF is directly linked to the photosynthesis. Nevertheless, SIF retrievals from the observed apparent radiance via the most common fraunhofer line discrimination (FLD) method are significantly affected by the directional reflectance. This study investigates the effects of directional reflectance...
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...
Diagnostic absorption feature has the potential to be the key factor in the mineral information extraction from vegetation-covered area. Reference Spectral Background Removal (RSBR) could simulate the background curve based on the reference spectral background, and eliminate the influence through the background removal process. In this paper, RSBR was introduced into to mineral absorption feature...
This method presented in this paper was tested using CASI&SASI data collected from a site at the Huailai County, Hebei Province, China. Various methods for retrieving AOT and CWV specific to this region were assessed. Results show that retrieval of AOT from the remote sensing data required establishing empirical relationships between 465.6nm, 659nm and 2105nm augmented by ground-based reflectance...
It is well known that since hyperspectral remote sensing (HRS) came in the middle 1980s, a number of hyperspectral imagers (e.g., EO-1 Hyperion) have been developed all over the world. China, as one of the pioneers in HRS technology development, also has been active and contributed significantly to the HRS community. This paper updates recent advances and future plans in Chinese developments in spaceborne...
Hyperspectral imaging have become a critical tool for the vegetation remote sensing since it contains abundant spectral information and can detect the subtle features to accurately monitor the vegetation status. Regarding to the number of bands been used, numerous hyperspectal vegetation indices (VIs) can be roughly divided into two categories: VIs derived from band geometric and VIs derived from...
Nitrogen is one of the most important nutrients in crop growth and development. To study the problem of spectral index setting of intelligent remote sensor for crop N prime inversion, and effectiveness of quantitative evaluation and other issues in different application requirements, with winter wheat for example to study the impact of quantitative model inversion of center wavelength, SNR and band...
Real-time target detection requires immediate decision-making. For fast implementation of the entire detection process, offline band selection is applied. Because target signature is usually the only prior knowledge before running causal real-time detectors, traditional band selection methods based on statistics of the entire data set cannot be used before detection. This paper develops a band selection...
This paper presents a belief rule inference method for controlling the system with uncertain parameters. It uses the belief rule base (BRB) to model nonlinear relationship between system deviation and its integral, differential (inputs) and the controlled variable (output), in which the antecedent and consequent attributes of rule are the referential values of the inputs and output respectively. For...
Recently, the industrial wireless protocols have been widely used around the world. However, the unreliable communication media between the sensors and the central controller renders the wireless signal channel vulnerable to many attacks. Various efforts have been devoted to study the influence of specific malicious attacks from the aspect of theoretical investigation based on different assumptions...
The telluric O2-B and O2-A have been proved to be capable of solar-induced vegetation fluorescence (SIF) retrieval based on Fraunhofer line depth (FLD) principle. However, most FLD based algorithms mainly aim for SIF detection in O2-A, not suitable in O2-B. One of the critical reasons is that it is very difficult to model the sudden varying reflectance around O2-B band located in the red-edge spectral...
Vegetation phenology change is one of the most sensitive and direct indicators of global climate change. It is very important to make an accurate understanding of the spatial and temporal of vegetation phenology variation in the Tibetan Plateau. Based on MODIS(Moderate-Resolution Imaging Spectroradiometer) NDVI (Normalized Difference Vegetation Index) data from 2001 to 2013, we studied the extraction...
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