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One important feature of geography phenomenon or spatial object is that there exists the spatial autocorrelation between them. As for a spatial sampling scheme for crop acreage estimation, the spatial autocorrelation of the sampling units has an important effect on the design of the sampling scheme and the improvement of the sampling efficiency. While the related researches on spatial autocorrelation...
CropSyst is an advanced model for crop growth simulation in the world; it is a multi-year, multi-crop, daily time step cropping systems simulation model developed to serve as an analytical tool to study the effect of climate, soils, and management on cropping systems productivity and the environment. BioMA(Biophysical Model Application) developed by European Commission Joint Research Center is an...
Information on crop sown acreage is an important basis for the formulation of national food policies and economic planning. Timely and accurate knowledge of crop acreage plays a very important role in enhancing agriculture management and ensuring national food security. The complete statistical survey method has been used to obtain the crop sown area information at the national scale in China for...
Timely and accurate estimating crop sown acreage is one of key technologies of crop yield monitoring by remote sensing, it has become an important subject in national agricultural condition monitoring field. In view of the problems occurred in the current sampling survey technology system in China, such as the sample size is not scientifically formulated; the rationality of sample layout is deficient...
Sample layout is one of key factors in spatial sampling schemes for estimating crop planting acreage. It plays an important role that optimizing sample layout for improving the representativeness of samples versus population and the accuracy of population extrapolation, decreasing the cost of survey sampling. In this study, focusing on the problem that the samples layout design is not reasonable (e...
It is of great strategic importance of agricultural sustainable development for obtaining in timely the agricultural information, such as crop growing and yield. Data assimilation of remote sensing based on crop growth simulation becomes an effective means of monitoring regional agriculture information, which provides significant advantages in terms of economic cost, effectiveness, precision and suitability...
In view of the problem occurred in those studies on crop planting acreage estimation using estimators at home and abroad, such as just one single estimator (simple estimator or regression estimator) is used to extrapolate the population values and estimate sampling errors; the efficiencies of population extrapolation are not evaluated among multiple estimators quantitatively; furthermore, the estimator...
Penman-Monteith (PM) theory is a classic method to calculate evapotranspiration (ET) of land surfaces. However, soil resistance, related to soil moisture, is always difficult to determine over a large region. In this study, we developed an ET estimation algorithm by incorporating a soil moisture index (SMI) derived from the improved surface temperature-vegetation cover feature space, denoted as the...
Crop Growth Monitoring System (CGMS) was originally developed by European Union based on a crop growth model (WOFOST) with the goal of regional yield estimations for major crops. The CGMS, driven by the geographic information system and the crop growth model, is composed of three main components: weather monitoring, crop monitoring and crop yield forecasting. In this study, the CGMS is introduced...
Standardization in the field of agro-geoinformation is imperative to support and simplify the sharing, usage and interoperability of agro-geoinformation of different sources. It is also a complex task that addresses multiple aspects encompassing data collection, data analysis, data management, system development, data sharing and information service. As such, a reference model is required to achieve...
Crop identification is a critical first step for most agricultural monitoring systems. The ability to identify crop type makes it possible to estimate the area allocated to each crop type and thus compute relevant statistics providing essential information for crop control of area-based subsidies and furnishes direct inputs to crop production forecasting models. In recent years, with the development...
Sampling basic unit size is considered as a key factor in the process of formulating spatial sampling survey schemes. Reasonable sampling unit size plays an important role for reducing sampling survey cost and improving estimating accuracy of population value. The experiment on optimization of survey unit size was conducted to improve the efficiency of spatial sampling for estimating winter wheat...
It is essential for grain production, trade and grain security warning that the information on crop sown area is collected timely and accurately at regional and national level. The experiment on optimal design of spatial sampling schemes for estimating winter wheat sown acreage was conducted combining Remote Sensing, Geographic Information Systems with the traditional sampling methods as well as Geostatistics...
Crop identification is the basis of crop monitoring using remote sensing. Remote sensing the extent and distribution of individual crop types has proven useful to a wide range of users, including policy-makers, farmers, and scientists. Northern China is not merely the political, economic, and cultural centre of China, but also an important base for grain production. Its main grains are wheat, maize,...
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