Time filter

Source Type

Chen J.,The Key Laboratory of Marine Hydrocarbon Resource and Geology | Chen J.,Qingdao Marine Geosciences Institute | Wen Z.-H.,The Key Laboratory of Marine Hydrocarbon Resource and Geology | Wen Z.-H.,Qingdao Marine Geosciences Institute | And 2 more authors.
Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis | Year: 2010

Taking the in situ measurements as the driver, the traditional remote sensing models modeling approaches emphasize particularly on the least total errors between the modeled estimate and the measurements while ignore its local error status, which may lead to a large warp between the modeled prediction and the observation at some position. Considering such default of general approach, the present paper developed the subsection mapping retrieval algorithm (SMRA), which decomposes the mapping mechanism between the water qualities and its optical parameters into several subsection functions, and each subsection function is determined by the in situ measurements (named nodes as follows) and an interpolating function. The analysis results of subsection mapping retrieval algorithm based on Newton interposing algorithms indicate that the algorithm keeps the inversion results accuracy at nodes, and is preferably suitable for regression estimate of the complicated relationship between the parameters. Additionally, the method has a great theoretical meaning for the standardization of the sampling interval and sample number in water qualities experiments. Combined with the analysis results of the Landsat/TM imagery and the experimental data of Taihu Lake, it could be known that the SMRA is preferably suitable for describing the relationship between remotely sensed parameters and water qualities, especially for complicated case II water bodies such as Taihu Lake. Source

Chen J.,The Key Laboratory of Marine Hydrocarbon Resource and Geology | Chen J.,Qingdao Marine Geosciences Institute | Quan W.-T.,Beijing Normal University | Zhou G.-H.,Beihang University | And 2 more authors.
Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis | Year: 2010

Eupatorium adenophorum Spreng. (EAS) is a toxic invasion plant and has caused significant economic and environmental impacts in China. The EAS has the characteristics of widely distributing and quickly spreading. The traditional detecting and supervising methods become invalid when applied for managing the spatial distribution of EAS. Based on the analyzing results of the spectrum features of EAS, the present paper tried to structure the identifying models by remote sensing. The main objective of this paper is to develop an available method for detecting and mapping the spatial distribution of EAS. The study shows that the spectrum of EAS has two reflecting peaks and one absorbing trough. The corresponding wavelengths of those peaks are 560, 730 and 674 nm, respectively. The absorption characteristics of EAS at 647 nm are that the absorbing depth is 0.5043-1.9103, the absorbing width is 13.7789-17.2518 nm and the area at the left absorption band is greater than the right, and the corresponding area ratio of left to right is 1.7719-2.4441. The white flowers of EAS make the reflectance higher at visible bands, and the first-order derivatives of EAS spectral show a wave peak at 420 nm. Compared with the spectral feature of other representative materials, the absorbing characteristics at 647 nm, such as absorption width and absorption depth, and the peak at 420 nm of derivatives spectral are special features of EAS spectral, which can be used as remotely sensed parameters for detecting and mapping the EAS at florescence. Source

Zhao G.,Ocean University of China | Zhao G.,The Key Laboratory of Coastal Wetlands Biogeosciences | Zhao G.,The Key Laboratory of Marine Hydrocarbon Resource and Geology | Ye S.,The Key Laboratory of Coastal Wetlands Biogeosciences | And 6 more authors.
Journal of Ocean University of China | Year: 2015

Sediment carbon sequestration plays an essential role in mitigating atmospheric CO2 increases and the subsequently global greenhouse effect. To clarify the late Quaternary strata and carbon burial records in Yellow River delta (YRD), detailed analysis of benthic foraminifera, total carbon (TC), organic carbon (Corg), sedimentary characteristics and moisture contents of sediments, was performed on core ZK3, 30.3 m in length and obtained from YRD in 2007. Eight depositional units (designated U1-U8 in ascending order) were identified. A comprehensive analysis method of historical geography and sedimentary geology was used to determine the precise depositional ages of the modern Yellow River delta (MYRD), from which pre-MYRD ages were deduced. The results indicates that the maximum burial rates of TC, inorganic carbon (IC) and Corg occurred in the delta front (U5), and the minimum in the shallow sea (U3). Remarkable high sedimentation rates in the MYRD are responsible for burial efficiency of carbon, with an average rate of Corg burial reaching 2087±251 g (m2 yr)−1, and that of IC reaching 13741±808 g (m2 yr)−1, which are much higher than those of other regions with high contents of Corg. Therefore, YRD has a significant burial efficiency for carbon sequestration. © 2015, Science Press, Ocean University of China and Springer-Verlag Berlin Heidelberg. Source

Discover hidden collaborations