Spatially explicit characterization of boreal forest gap dynamics using multi-temporal lidar data

Abstract This article assesses the field of public administration from a conceptual and methodological perspective. We urge public administration scholars to resolve the ambiguities that mire our scholarship due to the inadequate treatment of levels of analysis in our research. Overall, we encourage methodological accountability through a more explicit characterization of one’s research by the level of analysis to which it relates. We argue that this particular form of accountability is critical for effective problem solving for advancing theory and practice.

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Controllability of Continuous Bimodal Linear Systems

Mathematical Problems in Engineering ◽

10.1155/2013/342548 ◽

2013 ◽

Vol 2013 ◽

pp. 1-14 ◽

Cited By ~ 1

Author(s):

Josep Ferrer ◽

Juan R. Pacha ◽

Marta Peña

Keyword(s):

Linear Systems ◽

Higher Dimensions ◽

Linear Dynamics ◽

Explicit Characterization ◽

Separating Hyperplane

We consider bimodal linear systems consisting of two linear dynamics acting on each side of a given hyperplane, assuming continuity along the separating hyperplane. We prove that the study of controllability can be reduced to the unobservable case, and for these ones we obtain a simple explicit characterization of controllability for dimensions 2 and 3, as well as some partial criteria for higher dimensions.

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Analysis and Prediction of Gap Dynamics in a Secondary Deciduous Broadleaf Forest of Central Japan Using Airborne Multi-LiDAR Observations

Remote Sensing ◽

10.3390/rs13010100 ◽

2020 ◽

Vol 13 (1) ◽

pp. 100

Author(s):

Kazuho Araki ◽

Yoshio Awaya

Keyword(s):

Linear Regression Analysis ◽

Light Detection And Ranging ◽

Lidar Data ◽

Gap Dynamics ◽

Central Japan ◽

Broadleaf Forest ◽

Strong Linear Correlation ◽

Using Data ◽

Deciduous Broadleaf Forest ◽

Lidar Observations

Gaps are important for growth of vegetation on the forest floor. However, monitoring of gaps in large areas is difficult. Airborne light detection and ranging (LiDAR) data make precise gap mapping possible. We formulated a method to describe changes in gaps by time-series tracking of gap area changes using three digital canopy height models (DCHMs) based on LiDAR data collected in 2005, 2011, and 2016 over secondary deciduous broadleaf forest. We generated a mask that covered merging or splitting of gaps in the three DCHMs and allowed us to identify their spatiotemporal relationships. One-fifth of gaps merged with adjacent gaps or split into several gaps between 2005 and 2016. Gap shrinkage showed a strong linear correlation with gap area in 2005, via lateral growth of gap-edge trees between 2005 and 2016, as modeled by a linear regression analysis. New gaps that emerged between 2005 and 2011 shrank faster than gaps present in 2005. A statistical model to predict gap lifespan was developed and gap lifespan was mapped using data from 2005 and 2016. Predicted gap lifespan decreased greatly due to shrinkage and splitting of gaps between 2005 and 2016.

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Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta

GIScience & Remote Sensing ◽

10.1080/15481603.2021.1952541 ◽

2021 ◽

pp. 1-23

Author(s):

Alex Okiemute Onojeghuo ◽

Ajoke Ruth Onojeghuo ◽

Michelle Cotton ◽

Johnathan Potter ◽

Brennan Jones

Keyword(s):

Lidar Data ◽

Wetland Mapping ◽

Natural Region ◽

Multi Temporal

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