Using remote sensing to assess sustainable development on a Chinese national-level new district

2018 ◽  
Author(s):  
Hua Wan ◽  
Zhibin Sun ◽  
Lingbin Yan ◽  
Bilige Nari
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
National Level

scholarly journals Defining and Quantifying National-Level Targets, Indicators and Benchmarks for Management of Natural Resources to Achieve the Sustainable Development Goals

2019 ◽  
Vol 11 (2) ◽  
pp. 462 ◽  
Author(s):  
Chris Dickens ◽  
Vladimir Smakhtin ◽  
Matthew McCartney ◽  
Gordon O’Brien ◽  
Lula Dahir
Keyword(s):  
Sustainable Development ◽  
Natural Resources ◽  
Sustainable Development Goals ◽  
National Level ◽  
Resource Quality ◽  
The Sustainable Development ◽  
Country Level ◽  
2030 Agenda ◽  
Development Goals ◽  
Global Indicators

The 2030 Agenda for Sustainable Development, the Sustainable Development Goals (SDGs), are high on the agenda for most countries of the world. In its publication of the SDGs, the UN has provided the goals and target descriptions that, if implemented at a country level, would lead towards a sustainable future. The IAEG (InterAgency Expert Group of the SDGs) was tasked with disseminating indicators and methods to countries that can be used to gather data describing the global progress towards sustainability. However, 2030 Agenda leaves it to countries to adopt the targets with each government setting its own national targets guided by the global level of ambition but taking into account national circumstances. At present, guidance on how to go about this is scant but it is clear that the responsibility is with countries to implement and that it is actions at a country level that will determine the success of the SDGs. Reporting on SDGs by country takes on two forms: i) global reporting using prescribed indicator methods and data; ii) National Voluntary Reviews where a country reports on its own progress in more detail but is also able to present data that are more appropriate for the country. For the latter, countries need to be able to adapt the global indicators to fit national priorities and context, thus the global description of an indicator could be reduced to describe only what is relevant to the country. Countries may also, for the National Voluntary Review, use indicators that are unique to the country but nevertheless contribute to measurement of progress towards the global SDG target. Importantly, for those indicators that relate to the security of natural resources security (e.g., water) indicators, there are no prescribed numerical targets/standards or benchmarks. Rather countries will need to set their own benchmarks or standards against which performance can be evaluated. This paper presents a procedure that would enable a country to describe national targets with associated benchmarks that are appropriate for the country. The procedure builds on precedent set in other countries but in particular on a procedure developed for the setting of Resource Quality Objectives in South Africa. The procedure focusses on those SDG targets that are natural resource-security focused, for example, extent of water-related ecosystems (6.6), desertification (15.3) and so forth, because the selection of indicator methods and benchmarks is based on the location of natural resources, their use and present state and how they fit into national strategies.

scholarly journals Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020

2021 ◽  
Vol 13 (7) ◽  
pp. 1279
Author(s):  
Tong Li ◽  
Lizhen Cui ◽  
Zhihong Xu ◽  
Ronghai Hu ◽  
Pawan K. Joshi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
Web Of Science ◽  
Temporal Trends ◽  
Research Trends ◽  
Annual Number ◽  
Unmanned Aerial Systems ◽  
Comprehensive Overview ◽  
Research Areas ◽  
Research Studies

Grassland remote sensing (GRS) is an important research topic that applies remote sensing technology to grassland ecosystems, reflects the number of grassland resources and grassland health promptly, and provides inversion information used in sustainable development management. A scientometrics analysis based on Science Citation Index-Expanded (SCI-E) was performed to understand the research trends and areas of focus in GRS research studies. A total of 2692 papers related to GRS research studies and 82,208 references published from 1980 to 2020 were selected as the research objects. A comprehensive overview of the field based on the annual documents, research areas, institutions, influential journals, core authors, and temporal trends in keywords were presented in this study. The results showed that the annual number of documents increased exponentially, and more than 100 papers were published each year since 2010. Remote sensing, environmental sciences, and ecology were the most popular Web of Science research areas. The journal Remote Sensing was one of the most popular for researchers to publish documents and shows high development and publishing potential in GRS research studies. The institution with the greatest research documents and most citations was the Chinese Academy of Sciences. Guo X.L., Hill M.J., and Zhang L. were the most productive authors across the 40-year study period in terms of the number of articles published. Seven clusters of research areas were identified that generated contributions to this topic by keyword co-occurrence analysis. We also detected 17 main future directions of GRS research studies by document co-citation analysis. Emerging or underutilized methodologies and technologies, such as unmanned aerial systems (UASs), cloud computing, and deep learning, will continue to further enhance GRS research in the process of achieving sustainable development goals. These results can help related researchers better understand the past and future of GRS research studies.

Measuring and Monitoring Urban Sprawl of Jaipur City using Remote Sensing and GIS

2015 ◽  
Vol 6 (2) ◽  
pp. 46-65
Author(s):  
Pushpendra Singh Sisodia ◽  
Vivekanand Tiwari ◽  
Anil Kumar Dahiya
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Sustainable Development ◽  
Developing Countries ◽  
Maximum Likelihood ◽  
Natural Resources ◽  
Urban Sprawl ◽  
Remote Sensing And Gis ◽  
Direct Impact ◽  
Maximum Likelihood Classification

The world's population increased drastically and forced people to migrate from rural area to major cities in search of basic amenities. The majority of the World's population are already living in the major cities and it is continuously increasing. The increase in population forced the major cities to expand. Expansion of cities acclaimed more unplanned settlement that leads unplanned growth. This is a global phenomenon that has a direct impact on natural resources. It is the biggest challenge for urban planners to achieve sustainable development. Developing countries like India, where the population is increasing at an alarming pace, require more attention towards this problem. In this study, an attempt has been made to measure and monitor urban sprawl in Jaipur (Capital, State of Rajasthan, India). Built-up area with corresponding population has been analysed over a period of 41 years (1972-2013). Remotely sensed images of 1972-2013 (MSS, TM and ETM+) have been classified using Supervised Maximum Likelihood Classification (MLC) for digital image processing. Shannon's entropy has been used to quantify the degree of urban sprawl, and eight landscape metrics have also been used to quantify urban sprawl and its pattern.

scholarly journals A MACHINE LEARNING DATASET FOR LARGE-SCOPE HIGH RESOLUTION REMOTE SENSING IMAGE INTERPRETATION CONSIDERING LANDSCAPE SPATIAL HETEROGENEITY

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 731-736
Author(s):  
Y. Xu ◽  
X. Hu ◽  
Y. Wei ◽  
Y. Yang ◽  
D. Wang
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Land Cover ◽  
Spatial Heterogeneity ◽  
Satellite Remote Sensing ◽  
Sampling Method ◽  
National Level ◽  
Remote Sensing Image ◽  
Training Sample ◽  
Large Scope

<p><strong>Abstract.</strong> The demand for timely information about earth’s surface such as land cover and land use (LC/LU), is consistently increasing. Machine learning method shows its advantage on collecting such information from remotely sensed images while requiring sufficient training sample. For satellite remote sensing image, however, sample datasets covering large scope are still limited. Most existing sample datasets for satellite remote sensing image built based on a few frames of image located on a local area. For large scope (national level) view, choosing a sufficient unbiased sampling method is crucial for constructing balanced training sample dataset. Dependable spatial sample locations considering spatial heterogeneity of land cover are needed for choosing sample images. This paper introduces an ongoing work on establishing a national scope sample dataset for high spatial-resolution satellite remote sensing image processing. Sample sites been chosen sufficiently using spatial sampling method, and divided sample patches been grouped using clustering method for further uses. The neural network model for road detection trained our dataset subset shows an increased performance on both completeness and accuracy, comparing to two widely used public dataset.</p>

scholarly journals Monitoring oyster culture rafts and seagrass meadows in Nagatsura-ura Lagoon, Sanriku Coast, Japan before and after the 2011 tsunami by remote sensing: their recoveries implying the sustainable development of coastal waters

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10727
Author(s):  
Hiroki Murata ◽  
Motoyuki Hara ◽  
Chinatsu Yonezawa ◽  
Teruhisa Komatsu
Keyword(s):  
Remote Sensing ◽  
Sustainable Development ◽  
Coastal Waters ◽  
Coastal Ecosystems ◽  
Oyster Culture ◽  
Sanriku Coast ◽  
The Sustainable Development ◽  
Seagrass Meadows ◽  
Before And After ◽  
Aquaculture Management

Background Coastal ecosystems are blue infrastructures that support coastal resources and also aquaculture. Seagrass meadows, one of coastal ecosystems, provide substrates for epiphytic diatoms, which are food resources for cultured filter feeder organisms. Highly intensive coastal aquaculture degrades coastal environments to decrease seagrass meadows. Therefore, efficient aquaculture management and conservation of seagrass meadows are necessary for the sustainable development of coastal waters. In ria-type bays, non-feeding aquaculture of filter feeders such as oysters, scallops, and ascidians are actively practiced along the Sanriku Coast, Japan. Before the 2011 Great East Japan Earthquake, the over-deployment of oyster culture facilities polluted the bottom environment and formed an hypoxic bottom water layer due to the organic excrements from cultured oysters. The tsunami in 2011 devastated the aquaculture facilities and seagrass meadows along the Sanriku Coast. We mapped the oyster culture rafts and seagrass meadows in Nagatsura-ura Lagoon, Sanriku Coast before and after the tsunami and monitored those and environments after the tsunami by field surveys. Methods We conducted field surveys and monitored the environmental parameters in Nagatsura-ura Lagoon every month since 2014. We used high-resolution satellite remote sensing images to map oyster culture rafts and seagrass meadows at irregular time intervals from 2006 to 2019 in order to assess their distribution. In 2019, we also used an unmanned aerial vehicle to analyze the spatial variability of the position and the number of ropes suspending oyster clumps beneath the rafts. Results In 2013, the number and distribution of the oyster culture rafts had been completely restored to the pre-tsunami conditions. The mean area of culture raft increased after the tsunami, and ropes suspending oyster clumps attached to a raft in wider space. Experienced local fishermen also developed a method to attach less ropes to a raft, which was applied to half of the oyster culture rafts to improve oyster growth. The area of seagrass meadows has been expanding since 2013. Although the lagoon had experienced frequent oyster mass mortality events in summer before the tsunami, these events have not occurred since 2011. The 2011 earthquake and tsunami deepened the sill depth and widened the entrance to enhance water exchange and improve water quality in the lagoon. These changes brought the expansion of seagrass meadows and reduction of mass mortality events to allow sustainable oyster culture in the lagoon. Mapping and monitoring of seagrass meadows and aquaculture facilities via satellite remote sensing can provide clear visualization of their temporal changes. This can in turn facilitate effective aquaculture management and conservation of coastal ecosystems, which are crucial for the sustainable development of coastal waters.

scholarly journals Considerations Related to the Architecture of the Environmental Management System Designed in the MEMDUR Project

1970 ◽  
Vol 66 (2) ◽  
Author(s):  
Dorin CÂRSTOIU ◽  
Gabriel GORGHIU ◽  
Adriana OLTEANU ◽  
Alexandra CERNIAN
Keyword(s):  
Environmental Management ◽  
Sustainable Development ◽  
Environmental Risk ◽  
Management System ◽  
National Level ◽  
Environmental Management System ◽  
The Sustainable Development ◽  
Recorded Data

Started in 2007, the PN2 MEMDUR project’s main objective is to design, develop, test and implement in Dambovita County an advanced management system which has to assure the evaluation of the environmental risk in order to administrate the crises situations, in accordance with the demands required by the sustainable development on local, regional and national level. This paper tries to emphasize one of the most important parts of the project which manages the recorded data collected from the measuring workstations. Those workstations measure several parameters in fixed or mobile points.

scholarly journals THE IMPLICATIONS OF SOCIAL RESPONSIBILITY IN REDUCING YOUTH UNEMPLOYMENT IN ROMANIA

2019 ◽  
Vol 3 (2) ◽  
pp. 33
Author(s):  
Sorina-Geanina Stanescu ◽  
Ana-Maria Comandaru(Andrei)
Keyword(s):  
Sustainable Development ◽  
Social Responsibility ◽  
Research Methods ◽  
Empirical Research ◽  
Design Research ◽  
National Level ◽  
Youth Unemployment ◽  
Business Environment ◽  
Statistical Interpretation ◽  
Main Research

Aim: Lately, there is more and more discussion about sustainable development and social responsibility within organizations, thus increasing the pressure on organizations and managers to act ethically and responsibly. The main purpose of this study is to present how Romanian businesses have integrated aspects of social responsibility into the decision-making and management systems of organizations. The study focuses on identifying the main factors behind the development of the concept of social responsibility and presenting the link between economic activity and sustainable development. A major focus of this research is the study on the implications of corporate social responsibility in reducing the number of youth unemployment at national level. Design/Research methods: As far as the methodology of research is concerned, we will start from the theoretical documentation and we will continue with empirical research, using descriptive analysis and statistical interpretation of data as the main research methods. Conclusions/findings: Empirical research conducted in this paper allowed us to observe the involvement of organizations in adopting support measures for the social problems of young people unemployed. Originality/value of the article: Social responsibility is a vast concept that is growing in Romania and the implication of this concept in solving unemployment has led us to realize the present research that we want to add value to both the business environment in Romania and young researchers interested in this field.

scholarly journals Do Fiscal Rules Constrain Fiscal Policy in Romania?

2020 ◽  
Author(s):  
Alina Daniela Vodă ◽  
Gabriela Dobrotă ◽  
Loredana Andreea Cristea ◽  
Bianca Ciocanea
Keyword(s):  
Sustainable Development ◽  
Fiscal Policy ◽  
Granger Causality ◽  
National Level ◽  
Granger Causality Test ◽  
Business Environment ◽  
Economic Life ◽  
Fiscal Sustainability ◽  
Fiscal Rules ◽  
Causality Test

At both macroeconomic and national level, in recent decades, European tax policies have shown a particular interest in addressing the spectrum of risk issues in terms of maturing the business environment and the lack of sustainable development of the economy. In Romania there has been a significant increase in public debt, which is increasingly threatening fiscal sustainability. This is due to fiscal rules that restrict the applicability of fiscal policy to balancing the national economy. However, fiscal policy did not act in the direction of economic recovery during the crisis that started in the last quarter of 2008, which had a negative impact on the Romanian business environment. Objectively, fiscal policy should manifest itself as a general framework of the economy on the basis of which to develop fiscal rules that act in the direction of sustainable development of the business environment and implicitly, of socio-economic life. The research carried out referred to identify how fiscal rules in Romania restrict the application of fiscal policy as well as whether there is an explicit concordance between them. The research methodology aimed to use the ARDL model to apply the Granger causality test, using quarterly data for a set of four indicators, being identified that Romanian fiscal rules restrict fiscal policy. The achieved results highlighted the fact that fiscal rules restrict fiscal policy, being identified a long-run relationship between the analyzed variables and implicitly, a state of instability of the fiscal system in Romania. Keywords: fiscal policy, autoregressive distributed-lagged model, Granger causality test.

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