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Database: 365,228(8 Aug 2026)
vegetation cover fractional vegetation cover high vegetation vegetation stability period ≤5 days row-sown vegetation electronic digital display depth micrometers test results introductionthis standard % water flow rate
GB/T 41282-2022 in English

GB/T 41282-2022 in English

VALID

Validation of fractional vegetation cover remote sensing products

  • Issued on:2022-03-09
  • Implemented on:2022-10-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $270.00
$262.00

《GB/T 41282-2022植被覆盖度遥感产品真实性检验》由TC327(全国遥感技术标准化技术委员会)归口,主管部门为中国科学院。


Introduction

Analysis of the core content of the standard

This standard systematically standardizes the authenticity verification system of vegetation cover remote sensing products, with the following highlights:

  • Term definition: Clarify key concepts such as vegetation cover (0-1 dimensionless value) and relative true value
  • Temporal and spatial consistency requirements: Time deviation during vegetation stability period ≤5 days, and during rapid growth period ≤2 days
  • Sample stratification: Verify by low (≤0.2), medium (0.2-0.5), and high (>0.5) coverage

Comparison of verification methods

Method type Applicable conditions Key technology Accuracy index
Direct verification method Ground data is available and scale matching UAV/digital camera photo measurement RMSE<0.1
Cross-verification method Existing verified products Spatial resampling Correlation coefficient>0.85
Indirect verification method Other vegetation parameter products NDVI conversion model MAE<0.15

Technology evolution analysis

This standard innovatively proposes:

  1. Special treatment for row-sown vegetation: sampling unit needs to be >2 times the row spacing, and the rows are measured separately
  2. Double-layer measurement of high vegetation: coverage synthesis algorithm for bidirectional photography of the upper and lower canopy (FVC=fup+(1-fup)fdown)
  3. Spatial-temporal interpolation specifications: clarify the applicable conditions and error control of the linear interpolation method

Implementation suggestions

  • Equipment selection: give priority to remote-controlled digital cameras with a field of view of <60°, and the flight altitude of drones ≤100m
  • Measurement period: avoid the strong light period at noon, and choose cloudy days or morning and evening for measurement
  • Quality Control: The inspection report must include the three core indicators of RMSE, MAE, and R²
  • Special Terrain: In mountainous areas, the sample size should be increased and slope and aspect information should be recorded

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