Next Article in Journal
Drivers of Households’ Land-Use Decisions: A Critical Review of Micro-Level Studies in Tropical Regions
Previous Article in Journal
Patterns and Predictors of Recent Forest Conversion in New England
Article Menu

Export Article

Erratum published on 13 July 2017, see Land 2017, 6(3), 47.

Open AccessArticle
Land 2016, 5(4), 31; doi:10.3390/land5040031

Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data

1
Center for Environmental Remote Sensing, Chiba University, 1–33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan
2
Space Technology Institute, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet str., Cau Giay dist., Hanoi 100000, Vietnam
3
Institute of Geography, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet str., Cau Giay dist., Hanoi 100000, Vietnam
4
Institut national de Recherche en Sciences et Technologies pour l’Environnement et l’Agriculture (IRSTEA), UMR TETIS, Maison de la Teledetection, 500 Rue Jean Francois Breton, Montpellier 34000, France
*
Author to whom correspondence should be addressed.
Academic Editor: Chuanrong Zhang
Received: 2 August 2016 / Revised: 19 September 2016 / Accepted: 21 September 2016 / Published: 27 September 2016
View Full-Text   |   Download PDF [3974 KB, uploaded 13 July 2017]   |  

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. View Full-Text
Keywords: forest biomass; SAR; L-band ALOS-2; backscatter; texture; Landsat 8; NDVI; accuracy; Vietnam forest biomass; SAR; L-band ALOS-2; backscatter; texture; Landsat 8; NDVI; accuracy; Vietnam
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Viet Nguyen, L.; Tateishi, R.; Kondoh, A.; Sharma, R.C.; Thanh Nguyen, H.; Trong To, T.; Ho Tong Minh, D. Mapping Tropical Forest Biomass by Combining ALOS-2, Landsat 8, and Field Plots Data. Land 2016, 5, 31.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Land EISSN 2073-445X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top