Assessment and mapping of urban environmental quality using remote sensing and geospatial data

2018 ◽  
Author(s):  
Petros Patias ◽  
Danai Ifanti ◽  
Maria Tsakiri-Strati ◽  
Giorgos Mallinis ◽  
Harris Georgiadis ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Environmental Quality ◽  
Geospatial Data

scholarly journals The rise of big data and supporting technologies in keeping watch on the world's forests

2020 ◽  
Vol 22 (1) ◽  
pp. 129-141
Author(s):  
R. Taylor ◽  
C. Davis ◽  
J. Brandt ◽  
M. Parker ◽  
T. Stäuble ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Language Processing ◽  
Lower Cost ◽  
Forest Policy ◽  
Forest Products ◽  
Comprehensive Analysis ◽  
Geospatial Data ◽  
User Friendly ◽  
Analysis Of Social Networks

Technology-driven advances in the gathering, processing and delivery of big data are making it easier to monitor forests and make informed decisions over their use and management. This paper first describes how innovations in remote sensing and cloud computing are enabling generation of geospatial data more often, at lower cost and in more user-friendly formats. Second, it describes the evolution of systems and technologies to trace forest products, and agricultural commodities linked to deforestation, from source to final use. Third, it reviews the potential for emerging data mining technologies such as natural language processing, web scraping and computer vision to support forest policy analysis and augment geospatial data gathered through remote sensing. The paper gives examples of how these technologies are being used and may be used in the future to monitor and respond to deforestation, fire and natural disasters, improve governance by enabling faster and more comprehensive analysis of social networks, policies and regulations, and increase traceability and transparency within supply chains.

scholarly journals Spatial Analysis of The Needs of Green Open Space at Universitas Negeri Padang

2017 ◽  
Vol 1 (2) ◽  
pp. 140
Author(s):  
Muhammad Aliman ◽  
Arisius Yustesia ◽  
Eri Barlian ◽  
Nurhasan Syah
Keyword(s):  
Remote Sensing ◽  
Spatial Analysis ◽  
Environmental Quality ◽  
Open Space ◽  
Green Space ◽  
Ornamental Plants ◽  
Remote Sensing Data ◽  
Google Earth ◽  
Minimum Width ◽  
Clean Air

The decreasing of environmental quality in padang is caused by the changes of the land, the increasing number of vehicles and the increasing number of population. The solution to overcome these problems is by providing a green open space at universitas negeri padang (unp). The objectives of this study are 1) to analyze the needs of green open space at unp, 2) to plan the construction of open green space at unp. The method employed in this study was survey by using spatial analysis remote sensing data from google earth. The results of the study revealed that unp had open green space as large as 7.643 ha. The area of green open space at unp that fulfilled the width criteria was as much as 10%, and the fulfillment of population and clean air criteria was as much as 20%. However, the minimum width criterion of green open space, which was as much as 30%, was not fulfilled yet. The discrepancy between the area of open green space and the criteria of minimum width (30%) was 0.447 ha. Such lack of green open space can be filled by: optimizing the unoccupied land as large as 1.4 ha by planting the clump, providing 2308 flower’s pots, and making use of building shelter and building lobbies, and campus corridor to be planted with clump, ornamental plants or other types of epiphytes and lianas.

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