New Paper: Stratified aboveground forest biomass estimation by remote sensing data

New Paper: Stratified aboveground forest biomass estimation by remote sensing data

February 20, 2015

A new paper published recently by Int. J. Appl. Earth Obs. Geoinf. presents the results of a systhematic survey on the effects of post-stratification of sampling units on the quality of remote sensing-assisted biomass models. This is somwhat controversial to the status quo in the literature, which mostly suggests that estimates can be improved by building species- or strata-specific biomass models.

 

We analyzed the impact of stratifying forest data into three classes (broadleaved, coniferous and mixed forest). We compared predictive accuracy a) between the strata b) to a case without stratification for a set of pre-selected predictors from airborne LiDAR and hyperspectral data. The achieved RMSE and r2 diagnostic values were analyzed in a factorial design to rank the relative importance of each factor. Selected models were used for wall-to-wall mapping of biomass estimates and their associated uncertainty. The results revealed marginal advantages for the strata-specific prediction models over the unstratified ones, which were more obvious on the wall-to-wall mapped area-based predictions. Yet, further tests are necessary to establish the generality of these results. Input data type and statistical prediction method are concluded to remain the two most crucial factors for the quality of remote sensing-assisted biomass models.

A full text of this paper can be found at:

http://www.sciencedirect.com/science/article/pii/S0303243415000264

 

you may also like:

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

The Joint Urban Remote Sensing Event (JURSE) ( http://jurse.org/ ) is a forum of excellence where researchers, practitioners and students present, share, and discuss their latest findings and results. A very dynamic version of the Joint Urban Remote Sensing Event...

public talk by Hannes Taubenböck

public talk by Hannes Taubenböck

Deutschland – Wie und wo wir wohnen (wollen) Vortrag von Hannes Taubenböck (publich talk in german by Hannes Taubenböck on "How and where we like to live") Jede:r von uns wohnt – irgendwie. Ob in ländlichen oder urbanen Gefilden, ob in Ein- oder Mehrfamilienhäusern,...

new publication: on population disaggregation

new publication: on population disaggregation

A new article by Hannes Taubenböck and his team got published "Empiric recommendations for population disaggregation under different data scenarios" in PLOS One. From the abstract: "High-resolution population mapping is of high relevance for developing and...

most recent news:

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

Call for Papers for the Joint Urban Remote Sensing Event (JURSE)

The Joint Urban Remote Sensing Event (JURSE) ( http://jurse.org/ ) is a forum of excellence where researchers, practitioners and students present, share, and discuss their latest findings and results. A very dynamic version of the Joint Urban Remote Sensing Event...

public talk by Hannes Taubenböck

public talk by Hannes Taubenböck

Deutschland – Wie und wo wir wohnen (wollen) Vortrag von Hannes Taubenböck (publich talk in german by Hannes Taubenböck on "How and where we like to live") Jede:r von uns wohnt – irgendwie. Ob in ländlichen oder urbanen Gefilden, ob in Ein- oder Mehrfamilienhäusern,...

new publication: on population disaggregation

new publication: on population disaggregation

A new article by Hannes Taubenböck and his team got published "Empiric recommendations for population disaggregation under different data scenarios" in PLOS One. From the abstract: "High-resolution population mapping is of high relevance for developing and...