CN106446444A - 基于贝叶斯最大熵与先验知识的土壤水分空间预测研究 - Google Patents
基于贝叶斯最大熵与先验知识的土壤水分空间预测研究 Download PDFInfo
- Publication number
- CN106446444A CN106446444A CN201610893933.7A CN201610893933A CN106446444A CN 106446444 A CN106446444 A CN 106446444A CN 201610893933 A CN201610893933 A CN 201610893933A CN 106446444 A CN106446444 A CN 106446444A
- Authority
- CN
- China
- Prior art keywords
- soil moisture
- data
- soil
- priori
- research
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000002689 soil Substances 0.000 title claims abstract description 120
- 238000011160 research Methods 0.000 title claims description 34
- 238000000034 method Methods 0.000 claims abstract description 53
- 238000007689 inspection Methods 0.000 claims abstract description 14
- 238000005070 sampling Methods 0.000 claims abstract description 10
- 238000004458 analytical method Methods 0.000 claims description 16
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 5
- 101000794020 Homo sapiens Bromodomain-containing protein 8 Proteins 0.000 claims description 3
- 101001006782 Homo sapiens Kinesin-associated protein 3 Proteins 0.000 claims description 3
- 101000615355 Homo sapiens Small acidic protein Proteins 0.000 claims description 3
- WGKGADVPRVLHHZ-ZHRMCQFGSA-N N-[(1R,2R,3S)-2-hydroxy-3-phenoxazin-10-ylcyclohexyl]-4-(trifluoromethoxy)benzenesulfonamide Chemical compound O[C@H]1[C@@H](CCC[C@@H]1N1C2=CC=CC=C2OC2=C1C=CC=C2)NS(=O)(=O)C1=CC=C(OC(F)(F)F)C=C1 WGKGADVPRVLHHZ-ZHRMCQFGSA-N 0.000 claims description 3
- 102100021255 Small acidic protein Human genes 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000013459 approach Methods 0.000 claims description 2
- 230000008859 change Effects 0.000 claims description 2
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 238000011985 exploratory data analysis Methods 0.000 claims description 2
- 230000010354 integration Effects 0.000 claims description 2
- 238000012216 screening Methods 0.000 claims description 2
- 230000001360 synchronised effect Effects 0.000 claims description 2
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 230000004927 fusion Effects 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 238000005516 engineering process Methods 0.000 abstract description 4
- 230000007613 environmental effect Effects 0.000 abstract description 4
- 238000012544 monitoring process Methods 0.000 description 7
- 238000005259 measurement Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000012360 testing method Methods 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000003786 synthesis reaction Methods 0.000 description 3
- 241001269238 Data Species 0.000 description 2
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000010219 correlation analysis Methods 0.000 description 2
- 208000019880 recessive mitochondrial ataxia syndrome Diseases 0.000 description 2
- 238000003556 assay Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000000205 computational method Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000002844 melting Methods 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000002245 particle Substances 0.000 description 1
- 238000005293 physical law Methods 0.000 description 1
- VMXUWOKSQNHOCA-UKTHLTGXSA-N ranitidine Chemical compound [O-][N+](=O)\C=C(/NC)NCCSCC1=CC=C(CN(C)C)O1 VMXUWOKSQNHOCA-UKTHLTGXSA-N 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000012732 spatial analysis Methods 0.000 description 1
- 238000013179 statistical model Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Mathematical Analysis (AREA)
- Probability & Statistics with Applications (AREA)
- Algebra (AREA)
- Computer Hardware Design (AREA)
- Computational Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Geometry (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
Description
相关系数R | P-value(Significance F) | 标准误差 | a1 | a2 | a3 | a4 |
0.5384 | 0.0000** | 0.02 | 0.0468 | 0.0742 | 0.00025 | 0.0706 |
Claims (12)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610893933.7A CN106446444B (zh) | 2016-10-14 | 2016-10-14 | 基于贝叶斯最大熵与先验知识的土壤水分空间预测方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610893933.7A CN106446444B (zh) | 2016-10-14 | 2016-10-14 | 基于贝叶斯最大熵与先验知识的土壤水分空间预测方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106446444A true CN106446444A (zh) | 2017-02-22 |
CN106446444B CN106446444B (zh) | 2019-11-08 |
Family
ID=58173436
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610893933.7A Active CN106446444B (zh) | 2016-10-14 | 2016-10-14 | 基于贝叶斯最大熵与先验知识的土壤水分空间预测方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106446444B (zh) |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107944387A (zh) * | 2017-11-22 | 2018-04-20 | 重庆邮电大学 | 一种基于半变异理论的城市热岛空间异质性的分析方法 |
CN109002604A (zh) * | 2018-07-12 | 2018-12-14 | 山东省农业科学院科技信息研究所 | 一种基于贝叶斯最大熵的土壤含水量预测方法 |
CN109460789A (zh) * | 2018-11-07 | 2019-03-12 | 中国农业科学院农田灌溉研究所 | 一种基于贝叶斯最大熵的土壤水分融合方法 |
CN109766931A (zh) * | 2018-12-25 | 2019-05-17 | 天津珞雍空间信息研究院有限公司 | 基于主被动遥感aod数据的贝叶斯最大熵融合方法 |
CN110427995A (zh) * | 2019-07-24 | 2019-11-08 | 中国科学院遥感与数字地球研究所 | 一种基于多源遥感数据的贝叶斯土壤水分估算方法 |
CN110852474A (zh) * | 2019-09-24 | 2020-02-28 | 广州地理研究所 | 一种基于决策树算法的陆地水储量预测方法、装置及设备 |
CN112508758A (zh) * | 2020-12-02 | 2021-03-16 | 中国科学院东北地理与农业生态研究所 | 生态***内部类型组分与属性组分组成结构协同描述方法 |
CN112528555A (zh) * | 2020-11-23 | 2021-03-19 | 中国科学院空天信息创新研究院 | 一种土壤水分图绘制方法及装置 |
CN113408019A (zh) * | 2021-06-23 | 2021-09-17 | 河北地质大学 | 一种基于bme-gwr的水系沉积物地球化学异常制图方法 |
CN114580700A (zh) * | 2021-09-22 | 2022-06-03 | 安徽农业大学 | 一种基于语义贝叶斯网络的tvdi干旱指数预测方法 |
CN117309506A (zh) * | 2023-10-09 | 2023-12-29 | 中国矿业大学(北京) | 收集沉陷裂缝水蒸气装置及识别水蒸气来源的方法 |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104573393A (zh) * | 2015-01-28 | 2015-04-29 | 北京师范大学 | 一种基于贝叶斯理论的土壤水分站点数据升尺度方法 |
CN105893736A (zh) * | 2016-03-23 | 2016-08-24 | 中国科学院遥感与数字地球研究所 | 基于多源数据类型的被动微波土壤水分真实性检验方法 |
-
2016
- 2016-10-14 CN CN201610893933.7A patent/CN106446444B/zh active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104573393A (zh) * | 2015-01-28 | 2015-04-29 | 北京师范大学 | 一种基于贝叶斯理论的土壤水分站点数据升尺度方法 |
CN105893736A (zh) * | 2016-03-23 | 2016-08-24 | 中国科学院遥感与数字地球研究所 | 基于多源数据类型的被动微波土壤水分真实性检验方法 |
Non-Patent Citations (1)
Title |
---|
张贝 等: "贝叶斯最大熵地统计学方法及其在土壤和环境科学上的应用", 《土壤学报》 * |
Cited By (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107944387A (zh) * | 2017-11-22 | 2018-04-20 | 重庆邮电大学 | 一种基于半变异理论的城市热岛空间异质性的分析方法 |
CN107944387B (zh) * | 2017-11-22 | 2021-12-17 | 重庆邮电大学 | 一种基于半变异理论的城市热岛空间异质性的分析方法 |
CN109002604A (zh) * | 2018-07-12 | 2018-12-14 | 山东省农业科学院科技信息研究所 | 一种基于贝叶斯最大熵的土壤含水量预测方法 |
CN109002604B (zh) * | 2018-07-12 | 2023-04-07 | 山东省农业科学院科技信息研究所 | 一种基于贝叶斯最大熵的土壤含水量预测方法 |
CN109460789B (zh) * | 2018-11-07 | 2021-07-27 | 中国农业科学院农田灌溉研究所 | 一种基于贝叶斯最大熵的土壤水分融合方法 |
CN109460789A (zh) * | 2018-11-07 | 2019-03-12 | 中国农业科学院农田灌溉研究所 | 一种基于贝叶斯最大熵的土壤水分融合方法 |
CN109766931A (zh) * | 2018-12-25 | 2019-05-17 | 天津珞雍空间信息研究院有限公司 | 基于主被动遥感aod数据的贝叶斯最大熵融合方法 |
CN110427995A (zh) * | 2019-07-24 | 2019-11-08 | 中国科学院遥感与数字地球研究所 | 一种基于多源遥感数据的贝叶斯土壤水分估算方法 |
CN110427995B (zh) * | 2019-07-24 | 2023-11-17 | 中国科学院空天信息创新研究院 | 一种基于多源遥感数据的贝叶斯土壤水分估算方法 |
CN110852474A (zh) * | 2019-09-24 | 2020-02-28 | 广州地理研究所 | 一种基于决策树算法的陆地水储量预测方法、装置及设备 |
CN112528555A (zh) * | 2020-11-23 | 2021-03-19 | 中国科学院空天信息创新研究院 | 一种土壤水分图绘制方法及装置 |
CN112528555B (zh) * | 2020-11-23 | 2023-02-21 | 中国科学院空天信息创新研究院 | 一种土壤水分图绘制方法及装置 |
CN112508758A (zh) * | 2020-12-02 | 2021-03-16 | 中国科学院东北地理与农业生态研究所 | 生态***内部类型组分与属性组分组成结构协同描述方法 |
CN112508758B (zh) * | 2020-12-02 | 2022-12-06 | 中国科学院东北地理与农业生态研究所 | 生态***内部类型组分与属性组分组成结构协同描述方法 |
CN113408019A (zh) * | 2021-06-23 | 2021-09-17 | 河北地质大学 | 一种基于bme-gwr的水系沉积物地球化学异常制图方法 |
CN113408019B (zh) * | 2021-06-23 | 2022-04-22 | 河北地质大学 | 一种基于bme-gwr的水系沉积物地球化学异常制图方法 |
CN114580700A (zh) * | 2021-09-22 | 2022-06-03 | 安徽农业大学 | 一种基于语义贝叶斯网络的tvdi干旱指数预测方法 |
CN117309506A (zh) * | 2023-10-09 | 2023-12-29 | 中国矿业大学(北京) | 收集沉陷裂缝水蒸气装置及识别水蒸气来源的方法 |
CN117309506B (zh) * | 2023-10-09 | 2024-05-03 | 中国矿业大学(北京) | 收集沉陷裂缝水蒸气装置及识别水蒸气来源的方法 |
Also Published As
Publication number | Publication date |
---|---|
CN106446444B (zh) | 2019-11-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106446444B (zh) | 基于贝叶斯最大熵与先验知识的土壤水分空间预测方法 | |
CN112905560B (zh) | 一种多源时空大数据深度融合的空气污染预测方法 | |
Huang et al. | Jointly assimilating MODIS LAI and ET products into the SWAP model for winter wheat yield estimation | |
Jiang et al. | Comprehensive evaluation of multi-satellite precipitation products with a dense rain gauge network and optimally merging their simulated hydrological flows using the Bayesian model averaging method | |
Arrouays et al. | GlobalSoilMap: Toward a fine-resolution global grid of soil properties | |
CN105631218B (zh) | 基于idtcm的遥感地表温度时间归一化方法 | |
Petty et al. | The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1. 0: initial model development and analysis | |
CN102175209B (zh) | 历史遥感产品数据支持下的作物种植面积测量高效抽样方法 | |
CN112699959B (zh) | 基于能量泛函模型的多源多尺度降水数据融合方法和装置 | |
CN106483147B (zh) | 基于多源数据的长时间序列被动微波土壤水分精度改进研究方法 | |
CN105912836A (zh) | 一种纯遥感数据驱动的流域水循环模拟方法 | |
Tian et al. | Evaluation of six precipitation products in the Mekong River Basin | |
Rui et al. | Assimilation of remote sensing and crop model for LAI estimation based on ensemble Kaiman Filter | |
Carouge et al. | What can we learn from European continuous atmospheric CO 2 measurements to quantify regional fluxes–Part 2: Sensitivity of flux accuracy to inverse setup | |
Bennett et al. | Estimation of global ground heat flux | |
Zhang et al. | Simulation soil organic carbon change in China's Tai-Lake paddy soils | |
CN111210483A (zh) | 基于生成对抗网络和数值模式产品的仿真卫星云图生成方法 | |
CN112651108B (zh) | 一种解耦气象要素和植被动态对水文要素影响的方法 | |
CN105893736A (zh) | 基于多源数据类型的被动微波土壤水分真实性检验方法 | |
Fan et al. | A comparative study of four merging approaches for regional precipitation estimation | |
Chen et al. | Surface modeling of DEMs based on a sequential adjustment method | |
CN108205718A (zh) | 一种粮食作物抽样测产方法及*** | |
Ma et al. | Developing a land continuous variable estimator to generate daily land products from Landsat data | |
Cheng et al. | Improving soil available nutrient estimation by integrating modified WOFOST model and time-series earth observations | |
CN111859303B (zh) | 基于动态贝叶斯平均的土壤湿度融合方法及*** |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20191008 Address after: 100101 Institute of remote sensing and digital earth, North Chinese Academy of Sciences, a 2 Datun Road, Chaoyang District, Beijing Applicant after: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences Applicant after: Research Institute of Space Information (Langfang) of China Science Address before: 100101 Beijing city Chaoyang District Datun Road No. 20 North Applicant before: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences |
|
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CP03 | Change of name, title or address | ||
CP03 | Change of name, title or address |
Address after: 100089 No.19, Beisihuan West Road, Haidian District, Beijing Patentee after: Aerospace Information Research Institute,Chinese Academy of Sciences Patentee after: Langfang Spatial Information Technology R&D Service Center Address before: 100101 Institute of Remote Sensing and Digital Earth, North Chinese Academy of Sciences, A2 Datun Road, Chaoyang District, Beijing Patentee before: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences Patentee before: Research Institute of Space Information (Langfang) of China Science |