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GB/T 30115-2013: Specifications for vegetation index production from satellite remote sensing imagery
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Specifications for vegetation index production from satellite remote sensing imagery
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GB/T 30115-2013
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Basic data | Standard ID | GB/T 30115-2013 (GB/T30115-2013) | | Description (Translated English) | Specifications for vegetation index production from satellite remote sensing imagery | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | A77 | | Classification of International Standard | 07.040 | | Word Count Estimation | 23,256 | | Quoted Standard | GB/T 13989; GB/T 14950-2009; GB/T 15968 | | Regulation (derived from) | National Standards Bulletin No. 25 of 2013 | | Issuing agency(ies) | General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China | | Summary | The standard provides: optical satellite remote sensing images of terrestrial vegetation index products level division, production processes and quality evaluation methods. This standard applies to: optical satellite remote sensing images of terrestrial v | GB/T 30115-2013: Specifications for vegetation index production from satellite remote sensing imagery
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Specifications for vegetation index production from satellite remote sensing imagery
ICS 07.040
A77
National Standards of People's Republic of China
Satellite Images Vegetation Index Product Specifications
Issued on. 2013-12-17
2014-07-15 implementation
Administration of Quality Supervision, Inspection and Quarantine of People's Republic of China
Standardization Administration of China released
Table of Contents
Preface Ⅰ
Introduction Ⅱ
1 Scope 1
2 Normative references 1
3 Terms and definitions
4 Abbreviations and symbols 3
5 3 Basic requirements
6 Vegetation Index Level 3
7 Vegetation Index Calculation 4
Synthesis of 7 8 Vegetation Index
Appendix A (normative) vegetation index product composition 11
Appendix B (normative) vegetation index file quality mark 12
Annex C (informative) commonly used vegetation index 13
Annex D (normative) vegetation index metadata file items 15
Annex E (informative) common BRDF model 18
Foreword
This standard was drafted in accordance with GB/T 1.1-2009 given rules.
This standard by the National Remote Sensing Technology Standardization Technical Committee (SAC/TC327) and focal points.
This standard was drafted. Wuhan University, Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, the National Satellite Meteorological Center.
The main drafters of this standard. Wu Zhaocong, Jiangwan Shou, Zhong Bo, Chen Xing, Zhang Ye Ping, Yang Jian, Zhang Xiang, Yan source.
Introduction
Green leaf cell structure strong in the infrared reflection characteristics in the visible red chlorophyll has strong absorption bands
Characteristics, linear data by a red band satellite remote sensing and infrared reflectance data or non-linear combination of a series of indices can be calculated, these
Index contains a lot of vegetation information, they are collectively referred to as the vegetation index (dimensionless). Vegetation Index Leaf Area Index is green vegetation
(LAI), vegetation coverage density, content of chlorophyll, the green biomass as well as a comprehensive reflection can absorb photosynthetically active radiation (APAR) is a reflection of
The relative abundance of green vegetation and an active and effective measure.
Most Landsat equipped with remote sensors configures the red and infrared wavelengths, from these data and satellite images can be large and sustained eligible
Vegetation index obtained surface. Under certain conditions, the acquired remote sensing vegetation index is considered to reflect visible light, infrared vegetation and soil back
The main difference between the index view can be used to qualitatively or quantitatively evaluate the viability and growth of vegetation cover. Qualitatively, vegetation index is often used
To enhance the ability of classification and recognition. Quantitative aspects, since the vegetation index with a variety of vegetation parameter has a good correlation can be used to invert a
Series vegetation biophysical parameters such as leaf area index, chlorophyll content, biomass, photosynthetic active radiation absorption coefficient, etc., and then used to divide
Analysis of vegetation growth process, such as net primary productivity and evapotranspiration (transpiration) and the like.
In practice, different researchers may use when calculating the vegetation index different processing methods and processes, including the use of different
Satellite reflectance data, different radiometric correction, vegetation index, vegetation index synthetic evaluation methods and product quality. This standard
To solve these problems, the calculation by the optical satellite remote sensing data in terrestrial vegetation index product level, production and synthesis, product quality
Evaluation regulate to ensure that vegetation index in remote sensing research and application consistency.
Satellite Images Vegetation Index Product Specifications
1 Scope
This standard specifies the level of optical satellite remote sensing terrestrial vegetation index product division, production processes and quality evaluation methods.
This standard applies to optical satellite remote sensing images terrestrial vegetation index products, quality assessment and data exchange process.
2 Normative references
The following documents for the application of this document is essential. For dated references, only the dated version suitable for use herein
Member. For undated references, the latest edition (including any amendments) applies to this document.
GB/T 13989 national basic scale topographic maps and numbering
GB/T 14950-2009 Photogrammetry and Remote Sensing term
GB/T 15968 remote sensing image plan production specification
3 Terms and Definitions
GB/T 14950-2009 define the following terms and definitions apply to this document.
3.1
Radiant Flux radiantflux
In unit time through a certain area of the radiant energy.
3.2
Radiance radiance
Unit projected area, the radiation flux per unit solid angle on.
3.3
The apparent radiance apparentradiance
Remote Sensor entrance pupil observed radiance.
3.4
Digital gray value digitalnumber
Or radiant energy reflected by the remote sensor to quantify each band acquired from the gradation.
NOTE. dimensionless, ranging from remote sensors with different levels and different quantization.
3.5
Radiometric Correction radiometriccorrection
On the system due to external factors, data acquisition and transmission system generated random radiation distortions or aberrations correction.
[GB/T 14950-2009, the definition 5.195]
3.6
Apparent reflectance apparentreflectance
No apparent radiance and atmospheric level scene absolutely white body should be given under the assumption that the remote sensor entrance pupil ratio between the radiance.
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