Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates

المؤلفون المشاركون

Zhang, Maozhen
Chen, Qi
Batistella, Mateus
Moran, Emilio
Lu, Dengsheng
Vaglio Laurin, Gaia
Wang, Guangxing
Saah, David

المصدر

International Journal of Forestry Research

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-16، 16ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-04-04

دولة النشر

مصر

عدد الصفحات

16

التخصصات الرئيسية

الزراعة

الملخص EN

Landsat Thematic mapper (TM) image has long been the dominate data source, and recently LiDAR has offered an important new structural data stream for forest biomass estimations.

On the other hand, forest biomass uncertainty analysis research has only recently obtained sufficient attention due to the difficulty in collecting reference data.

This paper provides a brief overview of current forest biomass estimation methods using both TM and LiDAR data.

A case study is then presented that demonstrates the forest biomass estimation methods and uncertainty analysis.

Results indicate that Landsat TM data can provide adequate biomass estimates for secondary succession but are not suitable for mature forest biomass estimates due to data saturation problems.

LiDAR can overcome TM’s shortcoming providing better biomass estimation performance but has not been extensively applied in practice due to data availability constraints.

The uncertainty analysis indicates that various sources affect the performance of forest biomass/carbon estimation.

With that said, the clear dominate sources of uncertainty are the variation of input sample plot data and data saturation problem related to optical sensors.

A possible solution to increasing the confidence in forest biomass estimates is to integrate the strengths of multisensor data.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Lu, Dengsheng& Chen, Qi& Wang, Guangxing& Moran, Emilio& Batistella, Mateus& Zhang, Maozhen…[et al.]. 2012. Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates. International Journal of Forestry Research،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-472157

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Lu, Dengsheng…[et al.]. Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates. International Journal of Forestry Research No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-472157

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Lu, Dengsheng& Chen, Qi& Wang, Guangxing& Moran, Emilio& Batistella, Mateus& Zhang, Maozhen…[et al.]. Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates. International Journal of Forestry Research. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-472157

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-472157