365
Views
19
CrossRef citations to date
0
Altmetric
Original Articles

Modelling aboveground biomass using MODIS FPAR/LAI data in alpine grasslands of the Northern Tibetan Plateau

& ORCID Icon
Pages 150-159 | Received 08 Jul 2017, Accepted 11 Nov 2017, Published online: 22 Nov 2017
 

ABSTRACT

Aboveground biomass (AGB) is a vital variable in global carbon cycling and plays important roles in ecosystem structure and function in grasslands. Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 leaf area index (LAI) and fractional photosynthetically active radiation absorbed by vegetation (FPAR) data were used to model AGB in alpine grasslands in the Northern Tibetan Plateau. MYD15A2H (derived from the Aqua MODIS with a temporal resolution of eight days) FPAR/LAI with lower RMSE values (<18 g m−2) may have higher estimated accuracies than MOD15A2H (derived from the Terra MODIS with a temporal resolution of eight days), MCD15A2H (derived from the combination of Terra MODIS and Aqua MODIS with a temporal resolution of eight days) and MCD15A3H (derived from the combination of Terra MODIS and Aqua MODIS with a temporal resolution of four days) FPAR/LAI with higher RMSE values (>20 g m−2). The RMSE values (11.42–13.27 g m−2) in the open grazed areas were lower than those (17.46–17.56 g m−2) in fenced areas for MYD15A2H. Therefore, the estimated accuracies of AGB may vary among the four MODIS FPAR/LAI products and land use types in alpine grasslands of the Northern Tibetan Plateau.

Acknowledgement

We thank the editor and reviewers for their insightful and valuable comments, which greatly improved the quality of this manuscript.

Additional information

Funding

This work was supportedby the National Key Research Projects of China (2017YFA0604801; 2016YFC0502005), the National Natural Science Foundation of China (31600432; 41571042), the Science and Technology Plan Projects of Tibet Autonomous Region (Forage Grass Industry), Youth Innovation Research Team Project of Key Laboratory of Ecosystem Network Observation and Modeling (LENOM2016Q0002).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 83.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.