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inland water body water body water area area change monitoring swi index innovation shadow water index sodium hypochlorite generator introduction core changes lubricating grease core rod
QX/T 540-2020 in English

QX/T 540-2020 in English

VALID

Technical directive for the area change monitoring of inland water body by using China High-Resolution Earth Observation System satellite

  • Issued on:2020-01-21
  • Implemented on:2020-05-01
  • File Format:PDF
  • Delivery:Via email within 1~3 business days
Price(USD): $180.00
$175.00
Standard No: QX/T 540-2020
Document status: VALID
Title in English: Technical directive for the area change monitoring of inland water body by using China High-Resolution Earth Observation System satellite
Title in Chinese: 高分辨率对地观测卫星陆地水体面积变化监测技术导则
Language: English
File Format: Electronic (PDF)
Delivery: Via email within 1~3 business days
Issued on: 2020-01-21
Implemented on: 2020-05-01
ICS Classification: 07.060-Geology. Meteorology. Hydrology
Chinese Classification: A47-Meteorology
Professional Classification: QX-Meteorology
Related Keywords: inland water body
water body
water area
area change monitoring
swi index innovation shadow water index
Related Topics: Efficient deformation monitoring
Relative change in peak area
resolution chemistry
Integrated surface instrument
Integrated surface instrument
observation satellite
observation satellite
relative area and absolute area
Detection resolution
Detection resolution
view as monitoring
Changes in the area of each city
high resolution
earth observation satellite
Astronomers
satellite monitor
Conductivity monitoring in water
Gas resolution
Compound resolution
Wastewater Monitoring Conductivity
Land damage monitoring frequency
volume change rate international
Fog ground observation
ahri 540-2020
Volume change rate test
qx/t-2020
qx/t 567-2020
Disadvantages of ground method for measuring water area

本标准规定了高分辨率对地观测(以下简称“高分)卫星陆地水体面积变化监测的数据准备、陆地水体信息提取方法、监测方法及流程。本标准适用于利用国产高分一号、高分二号或具有类似通道设计的高分卫星数据,开展陆地水体面积变化遥感监测和评价工作。


Introduction

Analysis of Standard Technical Framework

Technical Elements Gaofen-1 Gaofen-2 International Similar Satellites
Spatial Resolution 2-16m 1-4m Landsat 8:15-30m
Water Monitoring Bands Blue (0.45-0.52μm)
Green (0.52-0.59μm)
Near Infrared (0.77-0.89μm)
Same as left Similar but different band ranges
Revisit period 2-4 days Undefined 16 days(Landsat)

Core algorithm principle

NDWI index application

Normalized difference water index (NDWI) is calculated by the formula:
$$NDWI=\frac{R_{green}-R_{nir}}{R_{green}+R_{nir}}$$
When NDWI≥0, it is judged as a water body, which is suitable for identifying large areas of water bodies in plains.

SWI Index Innovation

Shadow Water Index (SWI) solves the problem of shadow interference in mountainous areas:
$$SWI=R_{blue}'+R_{green}'-R_{nir}'$$
Empirical thresholdC₂=0.015, which needs to be combined with the solar altitude angle correction formula:
$$R'=R/sinZ$$


Standardization Implementation Process

  1. Data preparation phase: Select clear sky data in the wet/dry season
  2. Preprocessing: Complete 6 steps including atmospheric correction and geometric precision correction
  3. Terrain adaptation: Use NDWI for plains and SWI for mountains
  4. Change analysis: Calculate the absolute change (ΔS) and relative change (P₁) of area

Poyang Lake Monitoring Case

Applying GF-2 data, the NDWI threshold in the dry season was adjusted to -0.1. It was monitored that the water area in 2020 decreased by 12.7% compared with 2018, with an error of <3% with ground observations.


Technology Evolution Analysis

Compared with GB/T31163-2014, this standard:

  • Added a correction formula for the solar altitude angle
  • Clarified the parameter requirements for domestic satellites
  • Established a standard process for identifying water bodies in mountainous areas

Implementation Suggestions

Equipment Selection Give priority to the combination of GF-4 (high temporal resolution) and GF-6 (wide bandwidth)
Threshold optimization Adjust C₁(0.17±0.02) and C₂(0.015±0.003) according to regional characteristics
Verification method Suggestion to combine SAR data to overcome cloud interference

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