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Objective
The study's objective was to investigate the association of fat mass index (FMI) and fat‐free mass index (FFMI) with all‐cause mortality and cause‐specific mortality in the Chinese population.
Methods
A total of 422,430 participants (48.1% men and 51.9% women) from the Taiwan MJ Cohort with an average follow‐up of 9 years were included.
Results
The lowest (Q1) and highest (Q5) quintiles...
Flood is the most frequent disaster in the world, which can do harm to agriculture and threat to food security. Using kernel based supervised classifier to execute change detection for multi-temporal remote sensing data is a common method for flood disaster monitoring and assessment, and kernel Fisher's discrimination analysis (KFDA) is one of them. Choosing training sample by visual interpretation...
Projecting future water demand, especially in terms of agricultural irrigation demand, as well as identifying high-risk areas and establishing appropriate water demand management has become increasingly important in China. Climate scenarios provide opportunities to predict future irrigation requirements (IRs). We examined changes in IRs and agricultural drought in response to rising greenhouse gas...
In this study, we analyzed the spatiotemporal variation of cold surges in Inner Mongolia between 1960 and 2012 and their possible driving factors using daily minimum temperature data from 121 meteorological stations in Inner Mongolia and the surrounding areas. These data were analyzed utilizing a piecewise regression model, a Sen+Mann-Kendall model, and a correlation analysis. Results demonstrated...
Agriculture is the foundation industry of the national economy. The sustainable development of agriculture and rural social economy is the fundamental guaranty and priority field in the national development. However, the primary problem is how to assess the sustainable development capacity of agriculture and country. In many evaluation methods of the sustainable development, ecological footprint model...
Land cover area estimation is one of the obvious applications of remote sensing. This paper compared two categories of area estimators, the confusion matrix calibration and the regression estimators, under various sample sizes and classification accuracy. Based on the relationship between the error distribution and heterogeneity of remote sensing data, simulation procedure was conducted to acquire...
Numerous mixed pixels from coarse resolution data and missing date from moderate resolution data are major concern in cropland identification. Therefore, estimation using combining the coarse time series data and moderate resolution data has become the popular tendency for cultivated area identification. We proposed a novel method which integrated the coarse time series and moderate resolution data...
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