Total suspended solids (TSS) represent a critical parameter for water quality assessment and an essential indicator for remote sensing water quality monitoring. The Gaofen (GF) series satellites are a crucial component of China's “Major Special Project of High Resolution Earth Observation System”, widely applied in fields like environmental protection and land resources monitoring. In our efforts to further explore the applicability of the satellite network composed of GF-1 and GF-1B for TSS change monitoring, we developed a TSS concentration model for the coastal waters south of Yantai, China, and discussed the impact of different aerosol models on inversion results. Our findings indicate that the optimal band combination for TSS inversion modeling in the coastal waters south of Yantai is "ln(B3)-ln(B2)". The model best suited for TSS concentration inversion in the study area is y = 9.9348x2 + 29.713x + 23.879, with a coefficient of determination (R^2) of 0.73. The choice of aerosol model when employing the FLAASH model for atmospheric correction influences the predictive accuracy of the inversion model for TSS concentration. GF-1 and GF-1B satellite data are promising for inverting TSS concentrations in water bodies, and high temporal resolution satellite constellation images are beneficial for enhancing regional water body environmental monitoring.
During the evolution of hyperspectral remote sensing in China, there are many weaknesses in low spatial resolution and poor flexibility, which is located in manned aerial vehicle remote sensing and satellite remote sensing, and in low operation efficiency, which is located in hyperspectral remote sensing based on rotor UAV (Unmanned Aerial Vehicle). This article develop a VNIR (Visible/Near infrared) hyperspectral imager applicable to UAV for overcoming these weaknesses. To prove application effect of VNIR hyperspectral imager, this article make an flying experiment using hyperspectral imager based on vertical takeoff and landing fixed-wing UAV. We make atmospheric correction and spectrum reconstruction to UAV hyperspectral image using empirical line calibration method with external field radiometric calibration. This article demonstrate spectral validation with compared two spectral curves in the same typical surface in ASD ground spectrograph device and the hyperspectral image after atmospheric correction. The result shows that there is high fitness between VNIR image spectral curves and ground spectrograph spectral curves, and provides the most reliable results of hyperspectral imager. At last, this article got terrain classification on hyperspectral image, which can be considered as good application effect.
By leveraging the remote sensing technology, we have delved into the remote sensing prospecting model for typical uranium mining area along the Sino-Russian Economic Corridor. According to the remote sensing interpretation results of the basic geology along the Sino-Russian Economic Corridor, we have analyzed and summarized the remote sensing geological features of the structure, stratum and rock mass in this area. Moreover, by providing the remote sensing interpretation of basic geology in the Russian Streltsovsky typical hydrothermal uranium mining area based on the data of the domestic GF-1 satellite, we have made conclusive analysis on the characteristics of its ore-controlling elements and preliminarily summarized the remote sensing geological prospecting model for typical volcanic hydrothermal uranium deposits in this area. By using the remote sensing prospecting model, we have delineated three favorable ore-forming sections, which provides an important basis for regional mineralization prediction and the delineation of favorable ore-forming areas, and helps seek such deposits in the same or similar areas.
Practices of sandstone-type uranium exploration in recent years in China indicate that the uranium mineralization
alteration information is of great importance for selecting a new uranium target or prospecting in outer area of the known
uranium ore district. Taking a case study of BASHIBULAKE uranium ore district, this paper mainly presents the
technical minds and methods of extracting the reduced alteration information by oil and gas in BASHIBULAKE ore
district using ASTER data. First, the regional geological setting and study status in BASHIBULAKE uranium ore district
are introduced in brief. Then, the spectral characteristics of altered sandstone and un-altered sandstone in
BASHIBULAKE ore district are analyzed deeply. Based on the spectral analysis, two technical minds to extract the
remote sensing reduced alteration information are proposed, and the un-mixing method is introduced to process ASTER
data to extract the reduced alteration information in BASHIBULAKE ore district. From the enhanced images, three
remote sensing anomaly zones are discovered, and their geological and prospecting significances are further made sure
by taking the advantages of multi-bands in SWIR of ASTER data. Finally, the distribution and intensity of the reduced
alteration information in Cretaceous system and its relationship with the genesis of uranium deposit are discussed, the
specific suggestions for uranium prospecting orientation in outer of BASHIBULAKE ore district are also proposed.
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