QX/T 561-2020 in English
VALIDSpecification for monitoring products by satellite remote sensing—cyanobacterial blooms in lakes
- Issued on:2020-07-31
- Implemented on:2020-12-01
- File Format:PDF
- Delivery:Via email within 5 business days
$330.00
Introduction
Background of Standard Formulation and Technical Evolution
In response to the frequent blue algae blooms in lakes such as Taihu Lake and Chaohu Lake since the 21st century, this standard has established a unified satellite remote sensing monitoring technology system for the first time. Compared with the QX/T207-2013 technical guideline, this specification adds two standardized processing schemes for false color composite images and refines the coverage classification index to three level intervals.
Definition of core terms
| Terms | Definition | Technical characteristics |
|---|---|---|
| Cyanobacteria bloom coverage classification | Bloom coverage classification | Divided into three levels: (0,30%], (30,60%], (60,100%] |
| Multi-channel composite image | Multi-band color composite image | True color uses 0.44-0.68μm band, false color introduces 1.61-1.67μm shortwave infrared |
Comparison of key technical requirements
| Product Type | Band Combination | Color Standard (RGB) | Application Scenarios |
|---|---|---|---|
| True Color Composite Image | 0.44-0.50μm(B) 0.52-0.58μm(G) 0.62-0.68μm(R) | Natural Color Reproduction | Basic Monitoring |
| False Color Composite Image 1 | 0.44-0.50μm(B) 0.83-0.89μm(G) 0.62-0.68μm(R) | Enhanced Algal Bloom Characteristics | Emergency Monitoring |
| Spatial distribution map | - | 60,245,85(water bloom) 18,109,220(water body) | Trend analysis |
Implementation suggestions
Data acquisition optimization
Give priority to domestic satellite data such as FY-3D/MERSI, the spatial resolution must be ≤250 meters, and daily transit data should be radiometrically calibrated and geometrically corrected.
Product production process
- Preprocessing: Atmospheric correction according to QX/T207-2013
- Classification and identification: Use the threshold method of NDVI>0.1 and band ratio>2.0
- Output: Strictly follow the legend specifications in Appendix AH
Key points for quality control
- Cloud-covered areas must be marked and deducted
- Administrative divisions use the latest GB/T2260 code
- Area statistics retain 2 decimal places
Innovative value of the standard
For the first time, a technical system covering the entire chain of monitoring-mapping-statistics was established, and its false color synthesis scheme increased the accuracy of cyanobacteria identification by 35%. The Taihu Lake case provided in the appendix shows that this standard can effectively support the statistical error of cyanobacteria bloom area within ±5%.
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