CN116910036B - Construction method of multisource forest soil attribute database - Google Patents
Construction method of multisource forest soil attribute database Download PDFInfo
- Publication number
- CN116910036B CN116910036B CN202311161508.5A CN202311161508A CN116910036B CN 116910036 B CN116910036 B CN 116910036B CN 202311161508 A CN202311161508 A CN 202311161508A CN 116910036 B CN116910036 B CN 116910036B
- Authority
- CN
- China
- Prior art keywords
- data
- database
- soil
- forest
- information
- 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.)
- Active
Links
- 239000002689 soil Substances 0.000 title claims abstract description 106
- 238000010276 construction Methods 0.000 title claims abstract description 9
- 238000013524 data verification Methods 0.000 claims abstract description 11
- 238000013500 data storage Methods 0.000 claims abstract description 9
- 238000007726 management method Methods 0.000 claims abstract description 6
- 238000012986 modification Methods 0.000 claims abstract description 6
- 230000004048 modification Effects 0.000 claims abstract description 6
- 238000012217 deletion Methods 0.000 claims abstract description 5
- 230000037430 deletion Effects 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 claims description 13
- 239000013598 vector Substances 0.000 claims description 13
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000012790 confirmation Methods 0.000 claims 1
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 24
- 238000005527 soil sampling Methods 0.000 description 21
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 description 12
- 229910052757 nitrogen Inorganic materials 0.000 description 12
- 239000011591 potassium Substances 0.000 description 12
- 229910052700 potassium Inorganic materials 0.000 description 12
- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 8
- 229910052698 phosphorus Inorganic materials 0.000 description 8
- 239000011574 phosphorus Substances 0.000 description 8
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 6
- 229910052799 carbon Inorganic materials 0.000 description 6
- 238000004162 soil erosion Methods 0.000 description 6
- BHEPBYXIRTUNPN-UHFFFAOYSA-N hydridophosphorus(.) (triplet) Chemical compound [PH] BHEPBYXIRTUNPN-UHFFFAOYSA-N 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 238000012876 topography Methods 0.000 description 3
- 239000004927 clay Substances 0.000 description 2
- 239000002734 clay mineral Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000010200 validation analysis Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000013604 expression vector Substances 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/211—Schema design and management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
- G06F11/1451—Management of the data involved in backup or backup restore by selection of backup contents
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2365—Ensuring data consistency and integrity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/242—Query formulation
- G06F16/2433—Query languages
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24552—Database cache management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Quality & Reliability (AREA)
- Computational Linguistics (AREA)
- Computer Security & Cryptography (AREA)
- Mathematical Physics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of soil ecology, in particular to a construction method of a multisource forest soil attribute database, which comprises data storage, data verification, data operation data backup and log management; the data storage comprises two types of structured data and unstructured data, the structured data is stored in a database, the unstructured data is stored in a file system, metadata in the file system is also stored in the database, the data verification is that the data are preprocessed and verified before data are put in storage, the data operation comprises data addition, data modification, data query and data deletion, and the data backup adopts a corresponding backup mode for the data from different sources.
Description
Technical Field
The invention relates to the technical field of soil ecology, in particular to a construction method of a multisource forest soil attribute database.
Background
Forest soil is one of the most important components of a forest ecological system, and forest soil resources in China are rich and various, so that the forest soil has obvious horizontal and vertical zonal distribution patterns. The process for acquiring the forest soil data is complex, the cost is high, and the current situation that the forest soil data is multi-source and heterogeneous and difficult to manage and apply is caused.
The traditional forest attribute database generally does not contain soil attribute data, and the soil attribute database also does not contain forest attribute information, so that the forest attribute information and the soil attribute information exist as two independent bodies, and the existing work does not interconnect the two information, therefore,
1. when in storage, in order to enable information to be matched, two databases are required to store corresponding identification information, redundancy is increased, and meanwhile storage and maintenance cost is increased;
2. in maintenance, in order to update one piece of data, two databases may need to be operated simultaneously, so that data consistency is difficult to ensure, and particularly when a plurality of tasks are performed simultaneously, the difficulty is higher;
3. in use, to query a piece of data, it is necessary to span two databases and then merge the data, which is inefficient.
Based on the reasons, the invention designs a construction method of the multi-source forest soil attribute database, which is characterized in that the forest soil unit data standard is formulated after the historical observation data, the literature data and the sample plot investigation data are fully collected, integrated and utilized, and the multi-source forest soil attribute database is constructed, so that the forest soil attribute related data in various formats can be efficiently managed at the same time.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a construction method of a multi-source forest soil attribute database, which is used for formulating forest soil unit data standards and constructing the multi-source forest soil attribute database by fully collecting, integrating and utilizing historical observation data, literature data and sample plot investigation data, so that forest soil attribute related data in various formats can be efficiently managed at the same time.
In order to achieve the above purpose, the invention provides a construction method of a multisource forest soil attribute database, which comprises data storage, data verification, data operation, data backup and log management;
the data storage comprises two types of structured data and unstructured data, the structured data is stored in a database, the unstructured data is stored in a file system, and metadata in the file system is also stored in the database;
the data verification comprises a verification and validation step before the data is put into a database, and the data is preprocessed and verified to ensure the correctness, the reliability and the consistency of the data, and the method comprises the following steps:
s1, verifying whether data accords with a specification by utilizing a rule defined by the data;
s2, detecting data to be put in storage by using historical observation data, if the data fall within a reasonable numerical range of the data, the data are regarded as effective data, otherwise, users are prompted that abnormal values possibly exist in the data;
the data operation comprises data addition, data deletion, data modification and data query, and in order to efficiently manage data, the database system uses a unified SQL language for inquiring, the SQL language supports data analysis and geographic information inquiry, and when the object of the data operation is file data, the operation is performed in a mode of only adding and deleting, so that history information can be conveniently recorded;
the data backup adopts a corresponding backup mode for data from different sources, and specifically comprises the following steps:
for the structured data, backtracking the data by adopting a backup log mode, and merging database data in the backup log, so that the database is convenient to recover;
and for the file data, backing up the newly added file.
The data in the data store includes image data, vector data, raster data, and text data.
And carrying out standardized preprocessing on data with multiple formats before data verification.
The data query uses SQL language to query geographic information, and queries statistical operation information and display information.
Compared with the prior art, the method combines the forest attribute information and the forest soil attribute information, and the connected information is uniformly managed, so that the method has the following beneficial effects:
in the same database, the forest attribute database is expanded to increase the soil attribute information, the information format is uniform, irrelevant data fields are removed, the incremental backup technology is adopted for subsequent maintenance, the storage cost is reduced, and the information redundancy is eliminated;
the invention aims at the database containing forest attribute and forest soil attribute information at the same time, combines the existing data processing technology, ensures that dirty data cannot be generated when abnormal operation occurs to different data tables due to data content during deletion or modification, and ensures the consistency of the data;
in the same database, the common data table can be cached by utilizing the techniques of database index, view and the like, so that multiple format data can be extracted at a time, and the query performance and the processing efficiency are improved.
Drawings
FIG. 1 is a schematic diagram of the overall architecture of the present invention.
Fig. 2 is a schematic diagram of an embodiment of the architecture of the present invention.
Detailed Description
The invention will now be further described with reference to the accompanying drawings.
Referring to fig. 1-2, the invention provides a construction method of a multisource forest soil attribute database, which comprises data storage, data verification, data operation, data backup and log management;
the data storage comprises two types of structured data and unstructured data, the structured data is stored in a database, the unstructured data is stored in a file system, and metadata in the file system is also stored in the database;
the data verification comprises a verification and validation step before the data is put into a database, and the data is preprocessed and verified to ensure the correctness, the reliability and the consistency of the data, and the method comprises the following steps:
s1, verifying whether data accords with a specification by utilizing a rule defined by the data;
s2, detecting data to be put in storage by using historical observation data, if the data fall within a reasonable numerical range of the data, the data are regarded as effective data, otherwise, users are prompted that abnormal values possibly exist in the data;
the data operation comprises data addition, data modification, data query and data deletion, and in order to efficiently manage data, the database system uses unified SQL language for query, the SQL language supports data analysis and geographic information query, and when the object of the data operation is file data, the operation is performed in a mode of only adding and deleting, so that history information can be conveniently recorded;
the data backup adopts a corresponding backup mode for data from different sources, and specifically comprises the following steps:
for the structured data, backtracking the data by adopting a backup log mode, and merging database data in the backup log, so that the database is convenient to recover;
for file data, a newly added file is backed up.
The data in the data store includes image data, vector data, raster data, and text data.
And carrying out standardized preprocessing on data with multiple formats before data verification.
The data query uses SQL language to query geographic information, and queries statistical operation information and display information.
The invention manages heterogeneous data sources, integrates the heterogeneous data sources, uses a unified space query language to query and use the heterogeneous data, uses different incremental backup methods to backup the heterogeneous data, and reduces the storage space.
The parameters of the database table of the present invention are defined as follows:
chinese name | English name | Definition of the definition | Data type |
Coding of a pattern in a region | Region_ID | Coding of a pattern in a region | Text of |
Coding of the province of the plot | Province_ID | Coding of the province of the plot | Text of |
Sample site name | Plot Name | Sample site name | Text of |
Sample position | Location | Sample position | Text of |
Digital elevation of the region where the sample is located | Digital Elevation Model | High precision DEM in a sample plot | Grid structure |
Longitude and latitude | X | Longitude of soil sampling point of sample plot | Vector quantity |
Latitude of latitude | Y | Latitude of soil sampling point of sample plot | Vector quantity |
Elevation of the sea | Elevation | Elevation of soil sampling point of sample plot | Vector quantity |
Topography of the ground | Topography | Topography of soil sampling point of sample plot | Vector quantity |
Gradient of slope | Slope | Slope of soil sampling point of sample plot | Vector quantity |
Slope direction_1 | Aspect_1 | Slope direction of soil sampling point of sample plot, language description | Vector quantity |
Slope direction_2 | Aspect_2 | Slope direction of soil sampling point of sample land and digital expression | Vector quantity |
Soil type | Soil Type | Soil type of soil sampling point of sample plot | Text of |
Soil general category | Soil Group | Soil general class of soil sampling points of sample lands | Text of |
Soil porosity | Soil Porosity | Soil porosity of soil sampling points of sample plot | Text of |
Soil texture | Soil Texture | Soil texture of soil sampling points of sample lands | Text of |
Sandy soil | Sand | Soil sandiness soil content percentage of soil sampling point of sample land | Text of |
Clay | Clay | Soil clay content percentage of soil sampling point of sample plot | Text of |
Loam soil | Silt | Soil loam content percentage of soil sampling points of sample land | Text of |
Upper bound of single soil layer | Upper Depth | Soil single soil layer upper bound of soil sampling point of sample area | Text of |
Soil single soil layer lower boundary | Lower Depth | Soil single soil layer lower bound of soil sampling point of sample land | Text of |
Depth of soil | Soil Depths | Soil depth of soil sampling point of sample plot | Text of |
Earth-forming matrix | Parent Material | Soil forming matrix of soil sampling point of sample land | Vector quantity |
Mineral ratio of matrix clay | Clay Mineral Ratio | Clay mineral ratio in soil-forming matrix of soil sampling point of sample plot | Vector quantity |
Type of soil erosion | Soil Erosion Type | Soil erosion type of soil sampling points of a sample plot | Vector quantity |
Soil erosion degree | Soil Erosion Intensity | Soil erosion degree of soil sampling point of sample plot | Vector quantity |
Forest origin | Forest origin | Forest origin of sample plot | Text of |
Forest type | Forest Type | Pattern forest type, pure forest or mixed forest | Text of |
Forest structure | Forest Structure | Forest structure of sample plot and space structure | Text of |
Abundance of tree species in forest stand | Species Richness | Forest stand number of various trees in unit area | Text of |
High diameter of forest stand chest | Stand DBH | Height diameter of forest stand horizontal chest | Text of |
Age of forest stand | Stand Age | Average age of dominant tree species in forest | Text of |
Height of stand tree | Tree Height | Average tree height of stand level | Text of |
Stand photo | Photographs | Real photo in forest stand, in-forest and under-forest | Image processing apparatus |
Soil density of sample plot | Bulk Density of sites | Layered soil Density in sample plot | Text of |
Soil organic carbon content of sample plot | Soil Organic Carbon Content of sites | Organic carbon content of layered soil in sample plot | Text of |
Forest sample soil pH value | pH of sites | Layered soil pH value in sample field | Text of |
Soil total nitrogen of forest sample land | Total Nitrogen of sites (TN) | Layering soil total nitrogen in sample land | Text of |
Forest sample soil total phosphorus | Total Phosphorous of sites (TP) | Stratified soil total phosphorus in sample field | Text of |
Soil potassium for forest sample land | Total Potassium of sites (TK) | Layered soil total potassium in sample field | Text of |
Quick-acting nitrogen for forest sample soil | Available Nitrogen of sites (AN) | Quick-acting nitrogen for layered soil in sample field | Text of |
Quick-acting phosphorus for forest sample soil | Available Phosphorous of sites (AP) | Quick-acting phosphorus in soil stratified in sample field | Text of |
Quick-acting potassium for forest soil | Available Potassium of sites (AK) | Quick-acting potassium for layered soil in sample field | Text of |
Regional forest soil density | Bulk Density of regions (BD) | Regional layered soil density profile | Grid structure |
Organic carbon content of regional forest soil | Soil Organic Carbon Content of regions | Regional layered soil organic carbon content profile | Grid structure |
Regional forest soil pH value | pH of regions | Regional layered soil ph profile | Grid structure |
Regional forest soil total nitrogen | Total Nitrogen of regions | Regional stratified soil total nitrogen distribution map | Grid structure |
Regional forest soil total phosphorus | Total Phosphorous of regions | Regional stratified soil total phosphorus distribution map | Grid structure |
Regional forest soil total potassium | Total Potassium of regions | Regional stratified soil total potassium distribution map | Grid structure |
Quick-acting nitrogen for regional forest soil | Available Nitrogen of regions | Regional stratified soil quick-acting nitrogen distribution map | Grid structure |
Quick-acting phosphorus for regional forest soil | Available Phosphorous of regions | Regional layered soil quick-acting phosphorus distribution map | Grid structure |
Quick-acting potassium for regional forest soil | Available Potassium of regions | Regional layered soil quick-acting potassium distribution map | Grid structure |
The foregoing is a preferred embodiment of the present invention, which is only used to help understand the method and core idea of the present application, and the protection scope of the present invention is not limited to the foregoing embodiments, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
The method solves the important problems of high storage and maintenance cost, incapability of ensuring data consistency, low efficiency and the like caused by not linking the soil attribute database with the forest attribute information in the prior art on the whole, and greatly improves the management efficiency compared with the traditional database by fully collecting, integrating and utilizing historical observation data, literature data and sample plot survey data, formulating forest soil unit data standard and constructing a multisource forest soil attribute database, supporting forest survey data, sample basic information data, forest soil attribute data, forest and under-forest soil picture data and forest soil drawing result data, connecting all relevant data of forest soil attributes, supporting management and query of various types of data and supporting grid map data query.
Claims (4)
1. The construction method of the multisource forest soil attribute database is characterized by comprising data storage, data verification, data operation, data backup and log management;
the data storage comprises two types of structured data and unstructured data, wherein the structured data is stored in a database, the unstructured data is stored in a file system, and metadata in the file system is also stored in the database;
the data verification comprises a verification and confirmation step before the data is put into a database, and the data is preprocessed and verified to ensure the correctness, the reliability and the consistency of the data, and the data can be put into a warehouse when meeting the conditions, and the method comprises the following steps:
s1, verifying whether data accords with a specification by utilizing a rule defined by the data;
s2, detecting data to be put in storage by using historical observation data, if the data fall within a reasonable numerical range of the historical observation data, the data are regarded as effective data, otherwise, users are prompted that abnormal values possibly exist in the data;
the data operation comprises data addition, data deletion, data modification and data query, and in order to efficiently manage data, the database system uses a unified SQL language for supporting data analysis and geographic information query, and when the object of the data operation is file data, the operation is performed in a mode of only adding and deleting, so that history information can be conveniently recorded;
the data backup adopts a corresponding backup mode for data from different sources, and specifically comprises the following steps:
for the structured data, backtracking the data by adopting a backup log mode, and merging database data in the backup log, so that the database is convenient to recover;
for the file data, backing up the newly added file;
the data storage is specifically to combine forest attribute information and forest soil attribute information into the same database, unify information formats, remove irrelevant data fields and uniformly manage the connected information;
and caching the common data table in the same database by utilizing the database index and the view, and extracting data in multiple formats at a time.
2. A method of constructing a multi-source forest soil property database according to claim 1, wherein the data in the data store comprises image data, vector data, raster data and text data.
3. A method of constructing a multisource forest soil property database according to claim 1, wherein the data is subjected to standardized pre-processing prior to verification of data in a plurality of formats.
4. The method for constructing a multi-source forest soil attribute database according to claim 1, wherein the data query uses SQL language to query geographic information and to query statistical operation information and presentation information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311161508.5A CN116910036B (en) | 2023-09-11 | 2023-09-11 | Construction method of multisource forest soil attribute database |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202311161508.5A CN116910036B (en) | 2023-09-11 | 2023-09-11 | Construction method of multisource forest soil attribute database |
Publications (2)
Publication Number | Publication Date |
---|---|
CN116910036A CN116910036A (en) | 2023-10-20 |
CN116910036B true CN116910036B (en) | 2023-12-26 |
Family
ID=88356829
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202311161508.5A Active CN116910036B (en) | 2023-09-11 | 2023-09-11 | Construction method of multisource forest soil attribute database |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116910036B (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111930723A (en) * | 2020-09-25 | 2020-11-13 | 国网冀北电力有限公司经济技术研究院 | Scientific and technological achievement data fusion method based on big data |
WO2021107760A1 (en) * | 2019-11-29 | 2021-06-03 | Mimos Berhad | System and method for dynamically processing data into a knowledge base repository |
-
2023
- 2023-09-11 CN CN202311161508.5A patent/CN116910036B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021107760A1 (en) * | 2019-11-29 | 2021-06-03 | Mimos Berhad | System and method for dynamically processing data into a knowledge base repository |
CN111930723A (en) * | 2020-09-25 | 2020-11-13 | 国网冀北电力有限公司经济技术研究院 | Scientific and technological achievement data fusion method based on big data |
Non-Patent Citations (2)
Title |
---|
Digital Soil Mapping Based on Fine Temporal Resolution Landsat Data Produced by Spatiotemporal Fusion;Haoxuan Yang et al.;《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》;第16卷;全文 * |
基于混合架构的高校数据平台构建研究;张军 等;《当代教育实践与教学研究》;第一段,第一节至第三节 * |
Also Published As
Publication number | Publication date |
---|---|
CN116910036A (en) | 2023-10-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112270027B (en) | Paperless intelligent interactive examination method for city design based on entity model | |
CN109783665B (en) | Design method for realizing Hbase database remote sensing big data storage model based on Google S2 | |
CN106547853B (en) | Forestry big data construction method based on one graph | |
CN104700191A (en) | Intelligent mobile terminal based agricultural product quality and safety geographic information supervision and management method and system | |
CN109635068A (en) | Mass remote sensing data high-efficiency tissue and method for quickly retrieving under cloud computing environment | |
CN103049549A (en) | Island data management method and system | |
CN109508363A (en) | Water conservancy big data service platform and its working method based on GIS | |
CN113742505B (en) | Mass synthetic aperture radar interferometry (InSAR) data online visualization method | |
CN116910036B (en) | Construction method of multisource forest soil attribute database | |
Khatri et al. | Supporting user-defined granularities in a spatiotemporal conceptual model | |
CN109189873A (en) | A kind of Meteorological Services big data monitoring analysis system platform | |
CN109710814B (en) | Multi-source remote sensing data filing processing method and device | |
CN112686468B (en) | Public facility stability optimization method | |
CN105761313A (en) | Method of setting up three-dimensional landform symbol model and electronic device | |
CN111858808A (en) | Automatic evaluation method for topographic map characteristic ground object precision based on massive real measuring points | |
CN115269500B (en) | Ecological environment data storage method, ecological environment data retrieval method and electronic equipment | |
Lemenkova | Linking Data Between the Worksheets and GIS Databases for Effective Management of the Environmental Projects | |
CN115564908B (en) | Three-dimensional modeling system for ground surface matrix layer | |
Chen et al. | Organization and query of point clouds data based on SQL server spatial | |
YueShun et al. | A study of spatial data mining architecture and technology | |
Li et al. | Research of Fuzhou Historical Building Management Platform Based on Data Warehouse Technology | |
Yan et al. | System for automatic generalization of topographic maps | |
Liu et al. | The Research on Wetland Ecological Engineering Database Based on 3S Technology | |
CN114706930A (en) | Traffic cell land area statistical method for various types based on AOI data and GeoHash algorithm | |
CN116644116A (en) | Method for extracting site-level karst collapse risk evaluation factors |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |