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Remote sensing imagery derived from different sensors has different crop identification capability. due to the different spatial and temporal resolution, availability of certain spectral bands. Landsat OLI and RapidEye provide an important part of data sources for agricultural monitoring with a relative long historic records. As the availability of the data from these two sensors is totally different,...
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...
Lots of researches have been increasingly focusing on time series analysis of remote sensing datasets, deriving phenology time and trajectory parameters by carve fitting and detecting changes due to natural or artificial factors. For these applications extraction of various characteristic parameters is an indispensable and fundamental procedure. However, there is a lack of an integrated method currently...
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...
The remote sensing techniques have been in good operation in the application study on crop acreage monitoring from the initial small regions up to now. The crop acreage monitoring is one of element tasks in the remote-sensing yield estimation, and its precise results can affect the reliability and applicability of the data directly. With development of data sets of multispectral and multi-spatial...
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...
To improve the application ability of the low resolution remote sensing image in crop area remote sensing monitoring, the corn of Jilin province is selected as the object of study. Based on the remote sensing zoning of corn planting area in the research area, and based on middle and low resolution remote sensing data, the corn area mixed-pixel decomposition model based on neural network function is...
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...
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