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LY/T 1954-2011: Technical regulations of remote sensing base-map producing for forest resources inventory
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Technical regulations of remote sensing base-map producing for forest resources inventory
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LY/T 1954-2011
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Basic data | Standard ID | LY/T 1954-2011 (LY/T1954-2011) | | Description (Translated English) | Technical regulations of remote sensing base-map producing for forest resources inventory | | Sector / Industry | Forestry Industry Standard (Recommended) | | Classification of Chinese Standard | B65 | | Classification of International Standard | 65.020 | | Word Count Estimation | 25,229 | | Date of Issue | 2011-06-10 | | Date of Implementation | 2011-07-01 | | Quoted Standard | GB/T 13989-1992; GB/T 18316-2008; CH/T 1008 | | Regulation (derived from) | State Forestry Administration in 2011 Notice No. 9 | | Issuing agency(ies) | State Forestry Administration | | Summary | This standard specifies the forest resources survey satellite image map production methods, processes, quality results and other technical requirements. This standard applies to forest resources survey, planning, design and other work of the production of satellite remote sensing imagery. | LY/T 1954-2011: Technical regulations of remote sensing base-map producing for forest resources inventory
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Technical regulations of remote sensing base-map producing for forest resources inventory
ICS 65.020
B65
People's Republic of China Forestry Industry Standard
Forest resource survey
Technical specification for satellite remote sensing image map production
Published on.2011-06-10
2011-07-01 implementation
State Forestry Administration released
Content
Foreword III
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Technical standards and requirements 2
5 Data Preparation 3
6 Satellite remote sensing image processing 4
7 orthophoto image production 6
8 Results requirements 6
9 Quality inspection 7
Appendix A (informative) Spatial resolution and spectral characteristics of commonly used satellite remote sensing data Table 9
Appendix B (normative appendix) False color remote sensing image map band combination reference table 11
Appendix C (Normative Appendix) True Color Remote Sensing Image Band Combination Reference Table 12
Appendix D (normative appendix) Satellite remote sensing survey base map 13
Appendix E (Normative) DOM Product Metadata Document 14
Appendix F (Normative Appendix) Organization and Structure of the Outcome Document 15
Appendix G (Normative) Process Image File Naming Format 16
Appendix H (Normative) DOM Product Inspection Report Format 18
Appendix I (Normative) DOM Product Metadata Document 20
Foreword
This standard is drafted in accordance with the rules given in GB/T 1.1-2009.
This standard was proposed by the Forest Resources Management Department of the State Forestry Administration.
This standard is under the jurisdiction of the National Forest Resources Standardization Technical Committee.
This standard was drafted. Forest Resources Management Department of the State Forestry Administration, Investigation and Design Institute of the State Forestry Administration, and Northwest Forestry of the State Forestry Administration.
Investigate the Planning and Design Institute, the East China Forestry Survey Planning and Design Institute of the State Forestry Administration, and the Central South Forestry Investigation Planning and Design Institute of the State Forestry Administration.
The main drafters of this standard. Xu Jide, Han Aihui, Yan Hongwei, Huang Sheng, Huang Guosheng, Wang Xuejun, Lin Hui, Ning Xiaobin, Liu Xiaonong, Dang Yongfeng.
Forest resource survey
Technical specification for satellite remote sensing image map production
1 Scope
This standard specifies the technical requirements for the methods, processes and quality of the satellite remote sensing image map production.
This standard applies to the production of satellite remote sensing image maps for forest resource survey, planning, design, etc.
2 Normative references
The following documents are indispensable for the application of this document. For dated references, only dated versions apply to this article.
Pieces. For undated references, the latest edition (including all amendments) applies to this document.
GB/T 13989-1992 National basic scale topographic map framing and numbering
GB/T 18316-2008 Quality inspection and acceptance of digital surveying and mapping results
CH/T 1008 basic geographic information digital products 1.10000, 1.50000 digital elevation model
3 Terms and definitions
The following terms and definitions apply to this document.
3.1
Digital orthophoto map digitalorthophotomap; DOM
Using digital elevation models to scan digitized (or directly digitally acquired) remotely sensed images, orthorectified, fused, enhanced,
Mosaic, and then crop the generated image dataset according to the standard topographic map extent.
3.2
Image fusion imagefusion
Using a certain algorithm model, the images of different spatial resolutions and different spectral bands covering the same area will be imaged and spatially registered.
The technique of combining line information.
3.3
Image mosaic imagemosaic
On the basis of the unified projection coordinate system, adjacent remote sensing images are formed by image processing methods such as tone adjustment and splicing.
A technique that balances color and has no overlapping areas of the image.
3.4
Ground control point groundcontrolpoint
It has obvious object identification, which is used to correct the geometric distortion of satellite image and the coordinate points of other electronic map geometric deformation.
3.5
Digital elevation model digitalelevationmodel; DEM
On an equally spaced planar grid point, the data set of the terrain relief is expressed in elevation.
3.6
Orthorectification correction orthorectification
A technique for geometric correction and projection difference correction of images using ground control points and digital elevation models.
3.7
Image enhancement imageenhancement
By adjusting and transforming the color tone of remote sensing images, the process of highlighting certain features of the features and improving the visual effect of the images can be achieved. Image increase
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