Redirigiendo al acceso original de articulo en 16 segundos...
Inicio  /  Information  /  Vol: 11 Par: 12 (2020)  /  Artículo
ARTÍCULO
TITULO

A Tool for Better Land Management

Bernardo Carvalhinho    
Rodrigo Rocha Silva and Jorge Bernardino    

Resumen

The ability of keeping a record of geospatial information, knowing how it changed over time, is crucial for landscape analysis and territorial government. Land management is still a problem. Many governmental databases are incomplete, and there is a lack of reliable information. Good land management implies having a tool that can keep track of all the information available about a certain property and its changes over time. In this paper, we propose a land management tool where managers access all the information on a certain parcel of land?its boundaries, the land registration, a map which verifies the landcover, and the historic of updates of territorial limits. With the proposed tool, it is possible to edit the information of any property, whether it is active or not?that is, to also edit properties that no longer exist today, but that the user wants to add information to, for legal or other reasons. Keeping track of data properties? revision history is groundbreaking due to the fact it is not well developed in existing tools. We will look at Brazil as a use case, where land management is a critical problem.

 Artículos similares

       
 
Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan    
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t... ver más
Revista: Water

 
Saad Chahba, Guillaume Krebs, Cristina Morel, Rabia Sehab and Ahmad Akrad    
The electric urban air mobility sector has gained significant attraction in public debates, particularly with the proliferation of announcements demonstrating new aerial vehicles and the infrastructure that goes with them. In this context, the developmen... ver más
Revista: Aerospace

 
Rohan S. Sharma and Serhat Hosder    
The intent of this work was to investigate the feasibility of developing machine learning models for calculating values of airplane configuration design variables when provided time-series, mission-informed performance data. Shallow artificial neural net... ver más
Revista: Aerospace

 
R. J. Roosien, M. N. A. Lim, S. M. Petermeijer and W. F. Lammen    
To reduce the carbon footprint of transport, policymakers are simultaneously stimulating cleaner vehicles and more sustainable mobility choices, such as a shift to rail for short-haul flights within Europe. The purpose of this study is to determine the c... ver más
Revista: Aerospace

 
Egor I. Chetkin, Sergei L. Shishkin and Bogdan L. Kozyrskiy    
Bayesian neural networks (BNNs) are effective tools for a variety of tasks that allow for the estimation of the uncertainty of the model. As BNNs use prior constraints on parameters, they are better regularized and less prone to overfitting, which is a s... ver más
Revista: Algorithms