Mapping tropical forest biomass by combining ALOS-2, Landsat 8, and field plots data - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Land Year : 2016

Mapping tropical forest biomass by combining ALOS-2, Landsat 8, and field plots data

L. Viet Nguyen
  • Function : Author
R. Tateishi
  • Function : Author
A. Kondoh
  • Function : Author
R.C. Sharma
  • Function : Author
H. Thanh Nguyen
  • Function : Author
T. Trong To
  • Function : Author

Abstract

This research was carried out in a dense tropical forest region with the objective of improving the biomass estimates by a combination of ALOS-2 SAR, Landsat 8 optical, and field plots data. Using forest inventory based biomass data, the performance of different parameters from the two sensors was evaluated. The regression analysis with the biomass data showed that the backscatter from forest object (σ°forest) obtained from the SAR data was more sensitive to the biomass than HV polarization, SAR textures, and maximum NDVI parameters. However, the combination of the maximum NDVI from optical data, SAR textures from HV polarization, and σ°forest improved estimates of the biomass. The best model derived by the combination of multiple parameters from ALOS-2 SAR and Landsat 8 data was validated with inventory data. Then, the best validated model was used to produce an up-to-date biomass map for 2015 in Yok Don National Park, which is an important conservation area in Vietnam. The validation results showed that 74% of the variation of in biomass could be explained by our model.
Fichier principal
Vignette du fichier
mt2016-pub00055354.pdf (3.88 Mo) Télécharger le fichier
Origin : Publisher files allowed on an open archive
Loading...

Dates and versions

hal-01899068 , version 1 (19-10-2018)

Identifiers

Cite

L. Viet Nguyen, R. Tateishi, A. Kondoh, R.C. Sharma, H. Thanh Nguyen, et al.. Mapping tropical forest biomass by combining ALOS-2, Landsat 8, and field plots data. Land, 2016, 5 (4), 15 p. ⟨10.3390/land5040031⟩. ⟨hal-01899068⟩
64 View
56 Download

Altmetric

Share

Gmail Facebook X LinkedIn More