Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Remote Sensing-Based Monitoring Method of Regional Terrestrial Ecosystem Respiration

An ecosystem and regional technology, applied in the field of satellite remote sensing and remote sensing applications, can solve the problems of dependence, heterogeneity and insufficient expressiveness of information, and achieve the effect of improving accuracy

Inactive Publication Date: 2016-03-30
SATELLITE ENVIRONMENT CENT MINIST OF ENVIRONMENTAL PROTECTION
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to solve the problem that the respiration of regional-scale terrestrial ecosystems only depends on meteorological data, and the heterogeneity information of large-scale land cover is not expressive enough

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Remote Sensing-Based Monitoring Method of Regional Terrestrial Ecosystem Respiration
  • Remote Sensing-Based Monitoring Method of Regional Terrestrial Ecosystem Respiration
  • Remote Sensing-Based Monitoring Method of Regional Terrestrial Ecosystem Respiration

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] Taking China (national area) as an example, MODIS satellite remote sensing image data is obtained from NASA (National Aeronautics and Space Administration). The time step is 8 days.

[0050] S1 obtains time series satellite remote sensing image data in China:

[0051] In this embodiment, AVHRR / MODIS (Modified Very High Resolution Radiometer / Modified Resolution Aerospace Imaging Spectrometer) is used as the satellite remote sensing image data source. This is mainly due to the fact that AVHRR / MODIS data has multi-spectral characteristics and a time resolution of 1 day, which can meet the needs of remote sensing monitoring in continuous time series. In order to reduce the influence of cloud cover, the obtained data are 8-day synthetic products of MODIS reflectance in 2001.

[0052] Remote sensing inversion of S2 key parameter FPAR:

[0053] FPAR=1-α-P gap +P gap alpha b (1-K open )(1)

[0054] P gap =exp(-LAI·Ω(θ sun )·G(θ sun )cosθ sun )(2)

[0055] In formul...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a regional terrestrial ecosystem respiratory monitoring method based on remote sensing. The monitoring method comprises the following steps: S1, obtaining time series satellite remote sensing data within a region; S2, performing remote sensing retrieval to key parameters; S3, quantifying key physiological and ecological parameters of different vegetation forms based on land cover or land utilization data; S4, obtaining meteorological interpolation data of time series; S5, carrying out cloud removal to obtain vegetation growing season curve without noise impact; S6, determining the annual respiratory capacity of the regional terrestrial ecosystem. The method is based on the time series remote sensing data, considers spatial difference of the vegetation form, determines the ecosystem respiratory algorithm within the region, solves the problem that the regional terrestrial ecosystem respiratory monitoring only relies on meteorological data but is insufficient to express heterogeneous information of the land cover within large scale, improves the precision of regional scale ecosystem respiratory estimation, and accurately and quantitatively describes temporal dynamics of the respiration in different ecosystems.

Description

technical field [0001] The invention relates to the technical field of satellite remote sensing, in particular to a method for calculating the respiration of a regional terrestrial ecosystem by using visible light and near-infrared information provided by satellite remote sensing images combined with meteorological information observed on the ground. The method can determine the seasonal dynamics and annual total amount of regional terrestrial ecosystem respiration by estimating and accumulating ecosystem respiration in time series, and belongs to the technical field of remote sensing applications. Background technique [0002] Terrestrial ecosystem respiration is one of the most important carbon flux components in the global carbon cycle and plays a decisive role in the net carbon budget of specific ecosystems. Accurate estimation of ecosystem respiration on a regional scale is the basis and premise for evaluating carbon source / sink functions of regional and global ecosyste...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01V8/10
Inventor 高彦华周旭陈良富何洪林刘敏王昌佐
Owner SATELLITE ENVIRONMENT CENT MINIST OF ENVIRONMENTAL PROTECTION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com