Wetlands offer important ecological functions and *** functional zoning provides a reference and basis for sustainable fulfilment and *** this study,two coastal urban agglomerations in South China were taken as study ...
Wetlands offer important ecological functions and *** functional zoning provides a reference and basis for sustainable fulfilment and *** this study,two coastal urban agglomerations in South China were taken as study areas,namely,the Guangxi Beibu Gulf (GBG) and Guangdong-Hong Kong-Macao Greater Bay Area (GBA).Based on multisource information data,a wetland functional zoning system was constructed with the four levels of zoning concept,zoning principle,zoning basis,and zoning *** functional zoning and dynamic analysis of wetlands from 1990 to 2020 were carried out from multiple perspectives of wetland ecological functions,wetland management and conservation *** results showed that:1) in terms of wetland ecological functions,the two coastal urban agglomerations were dominated by hydrological regulation and purification of environmental functional *** coastal region was largely characterized by the main functional areas of climate regulation and biodiversity maintenance.2) Regarding wetland management and conservation functions,two coastal urban agglomerations exhibited similar trends in terms of the sizes of their conservation and buffer zones from 1990 to *** and control zones were mainly located in core cities in a concentrated *** zones largely comprised mountainous woodlands and important wetlands.3) The two coastal urban agglomerations could be divided into 21 wetland functional *** central river area has remained the main prevention and control zone for many *** conservation zones,ecological protection and restoration should be the main *** buffer zones,the construction of wetlands and surrounding complex systems should be strengthened or *** prevention and control zones,activities that do not affect wetland functions should be allowed,provided that they comply with existing laws and *** study could provide technical support and prac
The Greenhouse Gas Monitoring Instrument(GMI)onboard the Chinese hyperspectral satellite GF5-02 can provide abundant observations of global atmospheric CO2,which plays an impor-tant role in climate ***2 retrieval prec...
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The Greenhouse Gas Monitoring Instrument(GMI)onboard the Chinese hyperspectral satellite GF5-02 can provide abundant observations of global atmospheric CO2,which plays an impor-tant role in climate ***2 retrieval precision is the key to determining the application value of the *** reduce the influence of atmospheric scattering on retrieval,we combined the Directional Polarimetric Camera(DPC)data on the same satellite to improve the anti-interference ability of GMI CO2 retrieval and ensure its retrieval *** realize the reliability and feasibility of the collaborative use of the GMI and DPC,this paper designs the pointing registration method of the GMI based on coastline observations,the spatial resolution matching method and the collaborative cloud screening method of the GMI and DPC *** with the DPC,which supplied the spectral data and aerosol product,the retrieval ability of the coupled bidirectional reflectance distribution function CO2 retrieval(CBCR)method developed for GMI CO2 retrieval was improved,with the retrieval efficiency of CO2 products increasing by 27％,and the CO2 retrieval precision increasing from 3.3 ppm to 2.7 ***,collaborative use not only guaranteed the GMI's ability to detect global and area CO2 concentration distribution characteristics,such as significant concentration differ-ences between the Northern and Southern Hemispheres in winter and high CO2 concentra-tions in urban agglomeration areas caused by human activities,but also extended the GMI's potential for monitoring anomalous events,such as the Tonga volcanic eruption.
In Hyperspectral Imaging(HSI),the detrimental influence of noise and distortions on data quality is profound,which has severely affected the following-on analytics and decisionmaking such as land *** study presents an...
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In Hyperspectral Imaging(HSI),the detrimental influence of noise and distortions on data quality is profound,which has severely affected the following-on analytics and decisionmaking such as land *** study presents an innovative framework for assessing HSI band quality and reconstructing the low-quality bands,based on the Prophet *** introducing a comprehensive quality metric to start,the authors approach factors in both spatial and spectral characteristics across local and global *** metric effectively captures the intricate noise and distortions inherent in the HSI ***,the authors employ the Prophet model to forecast information within the low-quality bands,leveraging insights from neighbouring high-quality *** validate the effectiveness of the authors’proposed model,extensive experiments on three publicly available uncorrected datasets are *** a head-to-head comparison,the framework against six state-ofthe-art band reconstruction algorithms including three spectral methods,two spatialspectral methods and one deep learning method is *** authors’experiments also delve into strategies for band selection based on quality metrics and the quality evaluation of the reconstructed *** addition,the authors assess the classification accuracy utilising these reconstructed *** various experiments,the results consistently affirm the efficacy of the authors’method in HSI quality assessment and band ***,the authors’approach obviates the need for manually prefiltering of noisy *** comprehensive framework holds promise in addressing HSI data quality concerns whilst enhancing the overall utility of HSI.
Fractional vegetation cover(FVC)is a critical biophysical parameter that characterizes the status of terrestrial *** spatial resolutions of most existing FVC products are still at the kilometer ***,there is growing de...
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Fractional vegetation cover(FVC)is a critical biophysical parameter that characterizes the status of terrestrial *** spatial resolutions of most existing FVC products are still at the kilometer ***,there is growing demand for FVC products with high spatial and temporal resolutions in remotesensing *** study developed an operational method to generate 30-m/15-day FVC products over *** datasets were employed to generate a continuous normalized difference vegetation index(NDVI)time series based on the Google Earth Engine platform from 2010 to *** NDVI was transformed to FVC using an improved vegetation index(VI)-based mixture model,which quantitatively calculated the pixelwise coefficients to transform the NDVI to FVC.A comparison between the generated FVC,the Global LAnd Surface Satellite(GLASS)FVC,and a global FVC product(GEOV3 FVC)indicated consistent spatial patterns and temporal profiles,with a root mean square deviation(RMSD)value near 0.1 and an R^(2) value of approximately *** validation was conducted using ground measurements from croplands at the Huailai site and forests at the Saihanba ***,validation was performed with the FVC time series data observed at 151 plots in 22 small *** generated FVC showed a reasonable accuracy(RMSD values of less than 0.10 for the Huailai and Saihanba sites)and temporal trajectories that were similar to the field-measured FVC(RMSD values below 0.1 and R^(2) values of approximately 0.9 for most small watersheds).The proposed method outperformed the traditional VIbased mixture model and had the practicability and flexibility to generate the FVC at different resolutions and at a large scale.
作者：
Chen, SiningShi, YileiZhu, Xiao Xiang
Data Science in Earth Observation Munich Germany
Wessling Germany
Remote Sensing Technology Munich Germany
We focus on the long-tailed distribution problem of monocular height estimation from single remotesensing images. The long-tailed distribution results in dramatically large errors for pixels of high buildings. To cop...
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Buildings are essential geo-targets that contribute to the monitoring of urban development. Synthetic aperture radar (SAR) provides excellent opportunities for building segmentation as it is insensitive to sunlight il...
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Hyperparameters play a vital impact in the performance of most machine learning *** is a challenge for traditional methods to con-figure hyperparameters of the capsule network to obtain high-performance *** swarm inte...
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Hyperparameters play a vital impact in the performance of most machine learning *** is a challenge for traditional methods to con-figure hyperparameters of the capsule network to obtain high-performance *** swarm intelligence or evolutionary computation algorithms have been effectively employed to seek optimal hyperparameters as a com-binatorial optimization ***,these algorithms are prone to get trapped in the local optimal solution as random search strategies are *** inspiration for the hybrid rice optimization(HRO)algorithm is from the breeding technology of three-line hybrid rice in China,which has the advantages of easy implementation,less parameters and fast *** the paper,genetic search is combined with the hybrid rice optimization algorithm(GHRO)and employed to obtain the optimal hyperparameter of the capsule network automatically,that is,a probability search technique and a hybridization strategy belong with the primary *** benchmark functions are used to evaluate the performance of ***,the MNIST,Chest X-Ray(pneumonia),and Chest X-Ray(COVID-19&pneumonia)datasets are also utilized to evaluate the capsule network learnt by *** experimental results show that GHRO is an effective method for optimizing the hyperparameters of the capsule network,which is able to boost the performance of the capsule network on image classification.
With the increasing complexity of the electromagnetic environment in the battlefield and the rapid development of active jamming technology, radar is facing unprecedented active jamming, especially the threat of compo...
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With the continuous increase of rapid urbanization and population growth,sustainable urban land-use planning is becoming a more complex and challenging task for urban planners and ***-objective land-use allocation can...
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With the continuous increase of rapid urbanization and population growth,sustainable urban land-use planning is becoming a more complex and challenging task for urban planners and ***-objective land-use allocation can be regarded as a complex spatial optimization problem that aims to achieve the possible trade-offs among multiple and con-flicting *** paper proposes an improved Non-dominated Sorting Biogeography-Based Optimization(NSBBO)algorithm for solving the multi-objective land-use allocation problem,in which maximum accessibility,maximum compactness,and maximum spatial integration were formulated as spatial objectives;and space syntax analysis was used to analyze the potential movement patterns in the new urban planning area of the city of Kigali,*** Non-dominated Sorting(ENS)algorithm and crossover operator were integrated into classical NSBBO to improve the quality of non-dominated solutions,and local search ability,and to accelerate the convergence speed of the *** results showed that the proposed NSBBO exhibited good optimal solutions with a high hypervolume index compared to the classical ***,the proposed algorithm could generate optimal land use scenarios according to the preferred objectives,thus having the potential to support the decision-making of urban planners and stockholders in revising and updating the existing detailed master plan of land use.
This study provides a comprehensive overview of the lunar Robertson crater of Copernican period located on the far side of the moon using multi-sensor satellite observations from combined Chandrayaan-I M3, LROC WAC Gl...
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