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| Content Provider | Springer Nature Link |
|---|---|
| Author | Li, Lianfa Wang, Jinfeng Liu, Jiyuan |
| Copyright Year | 2005 |
| Abstract | In the remote sensing survey of the country land, cost and accuracy are a pair of conflicts, for which spatial sampling is a preferable solution with the aim of an optimal balance between economic input and accuracy of results, or in other words, acquirement of higher accuracy at less cost. Counter to drawbacks of previous application models, e.g. lack of comprehensive and quantitativecomparison, the optimal decision-making model of spatial sampling is proposed. This model first acquires the possible accuracy-cost diagrams of multiple schemes through initial spatial exploration, then regresses them and standardizes them into a unified reference frame, and finally produces the relatively optimal sampling scheme by using the discrete decision-making function (built by this paper) and comparing them in combination with the diagrams. According to the test result in the survey of the arable land using remotely sensed data, the Sandwich model, while applied in the survey of the thin-feature and cultivated land areas with aerial photos, can better realize the goal of the best balance between investment and accuracy. With this case and other cases, it is shown that the optimal decision-making model of spatial sampling is a good choice in the survey of the farm areas using remote sensing, with its distinguished benefit of higher precision at less cost or vice versa. In order to extensively apply the model in the surveys of natural resources, including arable farm areas, this paper proposes the prototype of development using the component technology, that could considerably improve the analysis efficiency by insetting program components within the software environment of GIS and RS. |
| Starting Page | 752 |
| Ending Page | 764 |
| Page Count | 13 |
| File Format | |
| ISSN | 10069313 |
| Journal | Science in China Series D: Earth Sciences |
| Volume Number | 48 |
| Issue Number | 6 |
| e-ISSN | 18622801 |
| Language | English |
| Publisher | Science in China Press |
| Publisher Date | 2005-01-01 |
| Publisher Place | Beijing |
| Access Restriction | Subscribed |
| Subject Keyword | survey of countrywide land with RS data spatial sampling optimal decision-making model of spatial sampling Geosciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences |
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