Geostatistical Mapping of Satellite Data using P-field Simulation with Conditional Probability Fields

机译：使用条件概率字段使用P场仿真的卫星数据的地质统计映射

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This paper presents a variant of p-field simulation that allows the generation of spatial realizations through the sampling of a set of conditional probability distribution functions by conditional probability fields. The approach is illustrated using a randomly sampled (200 observations of the NIR channel) SPOT scene of a semi-deciduous tropical forest. Results indicate that the use of conditional probability fields improves the reproduction of statistics such as histogram and semivariogram, while yielding more accurate predictions of reflectance values than the common p-field implementation or the more CPU-intensive sequential indicator simulation. The proposed approach also leads to a better prediction of the size of contiguous areas covered by savannah.

机译：本文介绍了P场模拟的变型，其允许通过条件概率场采样通过采样一组条件概率分布函数来产生空间实现。使用半落叶热带森林的随机采样（200观察）的随机采样（NIR频道）现场场景来说明该方法。结果表明，使用条件概率场的使用改善了直方图和半乐曲仪等统计数据的再现，同时产生比公共P场实现或更多CPU密集的顺序指示器模拟的反射率值的更准确的预测。拟议的方法也能够更好地预测大草原所涵盖的连续区域的规模。

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《International symposium on spatial accuracy assessment in natural resources and environmental science》|2000年||共8页
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作者
Pierre Goovaerts;
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中图分类资源开发与利用;
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forestry; spatial variability; stochastic simulation;

机译：林业;空间变异性;随机仿真;

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专利

1. Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation [J] . Pierre Goovaerts International Journal of Health Geographics . 2006,第3期

机译：疾病数据的地统计分析：使用泊松克里金法和p场模拟对癌症死亡风险中的空间不确定性进行可视化和传播
2. Multiple-point geostatistical simulation based on conditional conduction probability [J] . Cui Zhesi, Chen Qiyu, Liu Gang, Stochastic environmental research and risk assessment . 2021,第7期

机译：基于条件导通概率的多点地质稳流模拟
3. Can satellite-based data substitute for surveyed data to predict the spatial probability of forest fire? A geostatistical approach to forest fire in the Republic of Korea [J] . Chul-Hee Lim, You Seung Kim, Myungsoo Won, Geomatics,Natural Hazards & Risk . 2019,第1期

机译：基于卫星的数据可以替代调查数据，以预测森林火灾的空间概率吗？朝鲜共和国森林火灾地质统计方法
4. Geostatistical Mapping of Satellite Data using P-field Simulation with Conditional Probability Fields [C] . Pierre Goovaerts International symposium on spatial accuracy assessment in natural resources and environmental science . 2000

机译：使用条件概率字段使用P场仿真的卫星数据的地质统计映射
5. Forest biomass mapping using satellite, climate and field data. [D] . Baccini, Alessandro. 2005

机译：利用卫星，气候和野外数据绘制森林生物量图。
6. Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation [O] . Pierre Goovaerts 2006

机译：疾病数据的地统计分析：使用泊松克里金法和p场模拟对癌症死亡风险中的空间不确定性进行可视化和传播
7. Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation [O] . 2006

机译：疾病数据的地统计分析：使用泊松克里金法和p场模拟对癌症死亡风险中的空间不确定性进行可视化和传播
8. Reservoir simulation and up-scaling of a waterflooding process using geostatistical simulated Dan-field data. Final report [R] . 1996

机译：使用地质统计模拟Dan-field数据进行水文模拟和水驱过程的放大。最终报告

Geostatistical Mapping of Satellite Data using P-field Simulation with Conditional Probability Fields

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