scholarly journals Satellite Analysis of the Environmental Impacts of Armed-Conflict in Rakhine, Myanmar

2020 ◽  
Author(s):  
Thiri Thiri
Keyword(s):  
Armed Conflict ◽  
Google Earth ◽  
Machine Learning Algorithms ◽  
Computing Platform ◽  
Post Conflict ◽  
Conflict Zone ◽  
Humanitarian Crises ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
Satellite Analysis

Abstract The impacts of armed conflict on the environment are extremely complex and difficult to investigate, given the impossibility of accessing the affected area and reliable data limitation. Very-high-resolution satellite imageries and highly reliable machine learning algorithms become very useful in studying direct and indirect impacts of war on the ecosystem, in addition to connected effects on human lives. The Rohingya conflict is described as one of the worst humanitarian crises and human-made disasters of the 21st Century. Quantification of damage due to the conflict and the suitability of human resettlement has been lacking despite the ongoing agreements to repatriate refugees and the importance of ecosystem services for the communities' survival. Here we report the investigation of environmental conditions pre-, during, and post-conflict in the conflict zone using satellite data. We implemented and experienced the Google Earth Engine (GEE) cloud-based computing platform with a widely applied algorithm, the Random Forest (RF) classifier. We found striking near-complete demolition of inhabited regions, dramatic and highly significant increase in burning areas, and substantial deforestation. We discuss the reasons behind such findings from the Rakhine case and debate some general conservation lessons applicable to other countries undergoing post-conflict transitions.

Protecting the Natural Environment in Armed Conflict

2021 ◽  
Author(s):  
Peter Maurer
Keyword(s):  
Natural Environment ◽  
Rural Areas ◽  
Armed Conflict ◽  
Armed Forces ◽  
Armed Conflicts ◽  
Environmental Consequences ◽  
Climate Risks ◽  
Direct And Indirect Impacts ◽  
Urban And Rural Areas ◽  
Indirect Impacts

Armed conflicts have direct and indirect impacts on the natural environment, and climate risks now magnify this harm for dependent communities. Too often, the natural environment is directly attacked or suffers incidental damage as a result of the use of certain methods or means of warfare. It is also at risk from damage and destruction to the built environment, across urban and rural areas. To reduce this harm, parties to armed conflict can integrate legal protections for the environment into their armed forces’ doctrine to reduce damage as they fight. Humanitarians in turn must commit sufficient resources and expertise to respond to the needs of those coping with the environmental consequences of conflict, and limit their own climate and environmental footprint. In order to address this challenge, in November 2020 the ICRC released the Guidelines on the Protection of the Natural Environment in Armed Conflict which aim to contribute in a practical way to promoting respect for and protection of this precious asset during armed conflicts.

Analyzing trends of savannah degradation in Tanzania using Google Earth Engine and INLA 

2021 ◽  
Author(s):  
Joris Wiethase
Keyword(s):  
Invasive Plant ◽  
Plant Cover ◽  
Management Strategies ◽  
Remote Sensing Data ◽  
Google Earth ◽  
Machine Learning Algorithms ◽  
Bare Ground ◽  
Computing Platform ◽  
Extensive Field ◽  
Google Earth Engine

<p>Semiarid rangelands have been identified as at high risk of degradation as a result of changing socio-ecological conditions. Tanzanian savannahs are typical and some areas have become degraded in recent years, while other areas maintain resilience. To track pathways to degradation, we developed a workflow to create annual maps of degradation for all of Tanzania, at a high spatial (30m) and temporal (30+ years) resolution, as a function of bare ground and invasive plant cover. Making use of the freely available Google Earth Engine (GEE) computing platform, we created annual composites of Landsat remote sensing data. Using GEE machine learning algorithms, trained with data from extensive field surveys conducted in 2016, we predicted degradation scores for all of Tanzania from the Landsat composites. Our models produced significant correlations at the pixel level between test predictions and observations, rather better for the bare ground component of degradation than the invasive plants cover (bare ground r = 0.7, invasive plant cover r = 0.44). The resulting map provides an unprecedented data source for degradation in terms of extent and spatial resolution for the region. Through a novel data analysis approach using Integrated Nested Laplace Approximations (INLA), we show that degradation correlates with rainfall, human population and livestock density, as well as different management strategies. This study showcases the potential of GEE for analysing savannah degradation over large geographical areas, whilst highlighting the usefulness of INLA for this type of analysis.</p>

Comparative Study Of Green Practices In Haryana State Universities

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 1008-1016
Author(s):  
Priyanka ◽  
Ms Ipshita Bansal
Keyword(s):  
State Universities ◽  
Small Cities ◽  
Large Size ◽  
Green Practices ◽  
Size Population ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
Complex Activities

Universities in the state are regarded as ‘small cities’ due to their large size, population, and the various complex activities taking place in campuses, which have some serious direct and indirect impacts on the environment. The current study focuses on the green practices in state universities of Haryana. The comparative analysis has been done between the multiple case studies and find out the best green practices being adopted in universities for moving towards making the green campus and recommend the area of improvement for making environment sustainable campus.

scholarly journals Exploratory Analysis of Driving Force of Wildfires in Australia: An Application of Machine Learning within Google Earth Engine

2020 ◽  
Vol 13 (1) ◽  
pp. 10
Author(s):  
Andrea Sulova ◽  
Jamal Jokar Arsanjani
Keyword(s):  
Climate Change ◽  
Machine Learning ◽  
Random Forest ◽  
Google Earth ◽  
Summer Season ◽  
Driving Factors ◽  
Machine Learning Algorithms ◽  
Classification And Regression Tree ◽  
Training Dataset ◽  
Google Earth Engine

Recent studies have suggested that due to climate change, the number of wildfires across the globe have been increasing and continue to grow even more. The recent massive wildfires, which hit Australia during the 2019–2020 summer season, raised questions to what extent the risk of wildfires can be linked to various climate, environmental, topographical, and social factors and how to predict fire occurrences to take preventive measures. Hence, the main objective of this study was to develop an automatized and cloud-based workflow for generating a training dataset of fire events at a continental level using freely available remote sensing data with a reasonable computational expense for injecting into machine learning models. As a result, a data-driven model was set up in Google Earth Engine platform, which is publicly accessible and open for further adjustments. The training dataset was applied to different machine learning algorithms, i.e., Random Forest, Naïve Bayes, and Classification and Regression Tree. The findings show that Random Forest outperformed other algorithms and hence it was used further to explore the driving factors using variable importance analysis. The study indicates the probability of fire occurrences across Australia as well as identifies the potential driving factors of Australian wildfires for the 2019–2020 summer season. The methodical approach and achieved results and drawn conclusions can be of great importance to policymakers, environmentalists, and climate change researchers, among others.

scholarly journals Impact of Entrepreneurship Extracurricular Activities and Inspiration on Entrepreneurial Intention: Mediator and Moderator Effect

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110321
Author(s):  
Thuy Thu Nguyen ◽  
Linh Thi Phuong Nguyen ◽  
Hoa Thi Thanh Phan ◽  
Anh Trong Vu
Keyword(s):  
Extracurricular Activities ◽  
Structural Equation ◽  
Entrepreneurial Intention ◽  
Equation Modeling ◽  
Moderator Effect ◽  
Technical Students ◽  
Research Findings ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts ◽  
The Impact

This empirical study proposed a comprehensive model testing the direct and indirect impacts of entrepreneurship extracurricular activities and entrepreneurship inspiration on students’ entrepreneurial intention. With the sample consisting of 640 students from 11 universities in Vietnam, the study used structural equation modeling analysis approach. The results revealed that entrepreneurship extracurricular activities and entrepreneurship inspiration are significantly related to students’ entrepreneurial intention, and entrepreneurship self-efficacy partially mediates these relations. The impact of entrepreneurship education on entrepreneurial intention differs across the field of study. Technical students generally get more benefits from entrepreneurship educational activities than business and economics students do. The research findings recommended some implications for fostering graduates’ entrepreneurship in emerging countries.

scholarly journals The effects of armed conflict on forest cover changes across temporal and spatial scales in the Colombian Amazon

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Oscar V. Bautista-Cespedes ◽  
Louise Willemen ◽  
Augusto Castro-Nunez ◽  
Thomas A. Groen
Keyword(s):  
Armed Conflict ◽  
Forest Cover ◽  
Spatial Scales ◽  
Armed Forces ◽  
Peace Negotiations ◽  
Post Conflict ◽  
Forest Cover Changes ◽  
The Government ◽  
Colombian Amazon

AbstractThe Amazon rainforest covers roughly 40% of Colombia’s territory and has important global ecological functions. For more than 50 years, an internal war in the country has shaped this region. Peace negotiations between the government and the Revolutionary Armed Forces of Colombia (FARC) initiated in 2012 resulted in a progressive de-escalation of violence and a complete ceasefire in 2016. This study explores the role of different deforestation drivers including armed conflict variables, in explaining deforestation for three periods between 2001 and 2015. Iterative regression analyses were carried out for two spatial extents: the entire Colombian Amazon and a subset area which was most affected by deforestation. The results show that conflict variables have positive relationships with deforestation; yet, they are not among the main variables explaining deforestation. Accessibility and biophysical variables explain more variation. Nevertheless, conflict variables show divergent influence on deforestation depending on the period and scale of analysis. Based on these results, we develop deforestation risk maps to inform the design of forest conservation efforts in the post-conflict period.

Delivering water services during protracted armed conflicts: How development agencies can overcome barriers to collaboration with humanitarian actors

2019 ◽  
Vol 101 (912) ◽  
pp. 1067-1089
Author(s):  
Edoardo Borgomeo
Keyword(s):  
Service Delivery ◽  
Armed Conflict ◽  
Armed Conflicts ◽  
Sub Saharan Africa ◽  
Contributing Factors ◽  
Emergency Relief ◽  
Organizational Goals ◽  
Post Conflict ◽  
Development Agencies ◽  
Sub Saharan

AbstractThis note discusses the challenges of water service delivery before, during and after protracted armed conflict, focusing on barriers that may impede successful transition from emergency to development interventions. The barriers are grouped according to three major contributing factors (three “C”s): culture (organizational goals and procedures), cash (financing practices) and capacity (know-how). By way of examples, the note explores ways in which development agencies can overcome these barriers during the three phases of a protracted armed conflict, using examples of World Bank projects and experiences in the Middle East and Sub-Saharan Africa. Before the crisis, development agencies need to work to prevent armed conflict. In a situation of active armed conflict or when conflict escalates, development agencies need to remain engaged as much as possible, as this will speed up post-conflict recovery. When conflict subsides, development agencies need to balance the relative effort placed on providing urgently needed emergency relief and water supply and sanitation services with the effort placed on re-establishing sector oversight roles and capacity of local institutions to oversee and manage service delivery in the long term.

scholarly journals Group Facilitation on Societal Disruption and Collapse: Insights from Deep Adaptation

2021 ◽  
Vol 13 (11) ◽  
pp. 6280
Author(s):  
Jem Bendell ◽  
Katie Carr
Keyword(s):  
Climate Change ◽  
Environmental Degradation ◽  
First Person ◽  
Group Facilitation ◽  
Environmental Destruction ◽  
Difficult Conversations ◽  
Radical Uncertainty ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts

This article synthesises the practice and rationale behind ways of facilitating gatherings on topics of societal disruption and collapse, which is argued to be useful for lessening damaging responses. The authors draw on first-person inquiry as facilitators of gatherings, both online and in person, in the post-sustainability field of ‘Deep Adaptation,’ particularly since 2018. This term describes an agenda and framework for people who believe in the probable, inevitable or unfolding collapse of industrial consumer societies, due to the direct and indirect impacts of human-caused climate change and environmental degradation. Some of the principles of Deep Adaptation facilitation are summarised, such as containment, to enable co-responsibility for a safe enough space for difficult conversations. Another key principle is welcoming radical uncertainty in response to the anxieties that people feel from their anticipation of collapse. A third principle is making space for difficult emotions, which are welcomed as a natural and ongoing response to our predicament. A fourth aspect is a curiosity about processes of othering and separation. This paper provides a review of the theories that a reason for environmental destruction is the process of othering people and nature as being less significant or meaningful. One particular modality called Deep Relating is outlined.

The “Kouwenhoven” Case

2019 ◽  
Vol 181 ◽  
pp. 568-704
Keyword(s):  
Criminal Law ◽  
Armed Conflict ◽  
International Criminal ◽  
Criminal Liability ◽  
Criminal Activity ◽  
War Crimes ◽  
International Criminal Law ◽  
Post Conflict ◽  
Arms Embargo ◽  
Witness Statements

Economics, trade and finance — Economic sanctions — Liberia — UN Security Council Resolutions 1343 (2001) and 1408 (2002) — Implementation of arms embargo under Dutch law — Whether sanctions regime violatedInternational criminal law — Difference between perpetrator and accomplice liability — Complicity in war crimes — Requirement that defendant promoted or facilitated the commission of war crimes — Conditional intent — Whether defendant consciously accepted the probability that war crimes would be committed in connection with his material support — Risk of doing business with a government engaged in international criminal activityInternational criminal law — Evidence — Admissibility and weight of witness statements — Factors relevant to assessing witness statements obtained in post-conflict environment — Coercion of witnesses — Whether inconsistencies in witness statements requiring acquittalInternational criminal law — Circumstances excusing unlawful conduct — National emergency — Whether violations of arms embargo and laws and customs of war justified by right to self-defence under international lawJurisdiction — Universal jurisdiction — War crimes — Prosecution of a Dutch national for offences committed abroad — Whether conduct of investigation by Dutch authorities making prosecution inadmissible — Whether amnesty scheme in Liberia barrier to prosecution — No violation of fair trial rightsWar and armed conflict — Existence of armed conflict — Whether armed conflict international or internal — Limited gap between norms applicable to international versus non-international armed conflict — Whether violations of laws and customs of war giving rise to individual criminal liability under Dutch law — The law of the Netherlands

scholarly journals A Holistic Intersection Rating System (HIRS)—A Novel Methodology to Measure the Holistic Operational Performance of Signalized Urban Intersections

Smart Cities ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 1018-1038
Author(s):  
Wesam Emad Saba ◽  
Salwa M. Beheiry ◽  
Ghassan Abu-Lebdeh ◽  
Mustafa S. AL-Tekreeti
Keyword(s):  
Public Health ◽  
Local Economy ◽  
Rating System ◽  
Operational Performance ◽  
Community Activities ◽  
Community Wellbeing ◽  
Importance Index ◽  
Health Community ◽  
Direct And Indirect Impacts ◽  
Indirect Impacts

Signalized urban intersections are key components of urban transportation networks. They are traditionally viewed and designed as primarily motorized traffic facilities, and thus their physical and operational designs have traditionally aimed at maximizing traffic throughput subject to constraints dictated by vehicular safety requirements and pedestrian crossing needs. Seen from a holistic viewpoint, urban intersections are hubs or effective centers of community activities of which traffic flow is only one. Those hubs have direct and indirect impacts on the overlapping traffic functionalities, the environment, public health, community wellbeing, and the local economy. This study proposes a new rating system, the Holistic Intersection Rating System (HIRS), aimed at appraising signalized intersections from a more inclusive viewpoint. This appraisal covers traffic functionality, sustainability, and public health and community wellbeing. This rating system can be used as a guide to conceive, plan, or design new intersections or revamp existing ones. HIRS rates signalized urban intersections based on the level of use of relevant enabling technologies, and the physical and operational designs that allow those intersections to operate holistically, thus leading to a more human-centric and sustainable operational performance. HIRS was validated using a panel of experts in construction, transportation, and public health. The Relative Importance Index (RII) method was used to weigh the HIRS features. The rating system was piloted on a sample of 20 intersections in different cities in the UAE. The results revealed glaring gaps in services to or the consideration of pedestrians, cyclists, and nearby households. The sample intersections scored a mean of 32% on the public health and community wellbeing section, 37% on the pedestrian subsection, and 15% on the cyclist subsection. Such relatively low scores serve as indicators of areas for improvements, and if mapped to their specific features and their relative weights, specific physical and operations designs and technology integration can be identified as actionable items for inclusion in plans and/or designs.

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