Assessment of Multispectral Vegetation Features for Digital Terrain Modeling in Forested Regions

Author(s):  
Tito Arevalo-Ramirez ◽  
Javier Guevara ◽  
Robert Guaman Rivera ◽  
Juan Villacres ◽  
Oswaldo Menendez ◽  
...  
2019 ◽  
Author(s):  
Evan J. Hartshorn ◽  
◽  
Eric V. McDonald ◽  
David Page ◽  
Donald Edwin Sabol ◽  
...  

2018 ◽  
Author(s):  
John P Wilson

This paper summarizes the current state-of-the-art in geomorphometry and describes the innovations that are close at hand and will be required to push digital terrain modeling forward in the future. These innovations will draw on concepts and methods from computer science and the spatial sciences and require greater collaboration to produce “actionable” knowledge and outcomes. The key innovations include rediscovering and using what we already know, developing new digital terrain modeling methods, clarifying and strengthening the role of theory, developing high-fidelity DEMs, developing and embracing new visualization methods, adopting new computational approaches, and making better use of provenance, credibility, and application-content knowledge.


Author(s):  
Francisco Assis Da Silva ◽  
Gustavo R. Scandolieri ◽  
Danillo R. Pereira ◽  
Leandro L. Almeida, Helton M. Sapia, João F. C. Silva

Digital Terrain Modeling (DTM) is a computational model of the earth surface that represents relief and it has a wide range of applications. This work proposes a new approach to DTM using the Finite Element Method (FEM) point-based instead of mesh-based. The points used by the proposed methodology were obtained by data captured by satellite images. The most methods require the precomputation of a mesh on the surface of the terrain. Our methodology overcomes the mesh step, so the modeling process is very fast.


Author(s):  
Zhilin Li ◽  
Christopher Zhu ◽  
Chris Gold

Author(s):  
Duncan J. Quincey ◽  
Michael P. Bishop ◽  
Andreas Kääb ◽  
Etienne Berthier ◽  
Boris Flach ◽  
...  

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