This chapter examines the intersection of environmental justice, circular economies, and green living, examining how these frameworks can address the disproportionate environmental burdens on marginalised communities. Environmental justice is defined as the fair treatment and involvement of all people, regardless of race, income, or nationality, in environmental protection policies. Historically, low-income and minority populations have faced higher exposure to environmental hazards, such as pollution and waste, contributing to health inequalities. The chapter explores how transitioning to a circular economy, which emphasises reducing waste, reusing resources, and recycling, can provide solutions to these injustices. By adopting circular economy practices, cities can foster environmental sustainability and social equity, helping to alleviate the disproportionate environmental burdens faced by disadvantaged communities. The chapter highlights two case studies: Amsterdam’s adoption of the Doughnut Model to drive its circular economy goals, and Glasgow’s efforts to transition to a carbon-neutral, circular economy. These illustrate how cities can integrate circular economy principles to reduce waste, improve resource management, and enhance public health outcomes while simultaneously promoting environmental justice. Ultimately, the chapter argues that environmental justice can be achieved through a circular economy, improving both the environment and the quality of life for all communities, especially the most vulnerable.

In this chapter will focus on surface water – notably the water that is in lakes and reservoirs, rather than rivers and groundwater. This is the water that remains directly on land and represents a significant reservoir for the water cycle. The storage of such water drives many water management applications, as we shall see later, such as reservoir and flood management (chapter 8), irrigation (chapter 9). Here, we will overview the various remote sensing techniques that can be used to detect if a land is covered with water and if so, what is the extent. Later in the chapter we will learn how two successive satellite overpasses can help us estimate storage change a water body may have experience. This storage change can be a crucial component for various water management applications as it helps us understand how much water lakes or reservoirs are storing, losing (to diversion or evaporation) or releasing.

Chapter 11 highlights the need for ground control, such as GNSS survey points, to bring InSAR deformation measurements into a geodetic reference frame. It also explains the theory for projecting vector GNSS displacement into scalar line-of-sight (LOS) InSAR displacement and the computation of strain rate from InSAR.

In the previous chapters, we built the basic foundation of satellite remote sensing. In this chapter we will explore a relatively recent innovation in information technology called cloud computing that has dramatically improved data accessibility and the practicality of applying large satellite remote sensing datasets for water management. Future chapters on specific targets and water management themes will have hands-on examples and assignments based on actual satellite data. Most of these chapters will assume prior knowledge of cloud computing for understanding and completing assignments. Since cloud computing is gradually proliferating in all walks of water management practice, the aim of this chapter is to introduce readers to cloud computing concepts and specific tools currently available for dealing with the very large satellite data sets on water.

In the previous chapter, we introduced ourselves to the importance of satellite remote sensing for water management and why the technique is going to take greater importance in years to come as challenges mount from climate change, competing needs and lack of ground data. In this chapter, we will overview the basics of remote sensing, define key concepts and terms. Using these concepts and terms, we will develop an understanding of the fundamental principle required for the success of remote sensing.

Chapter 7 introduces the basic concepts and fundamental limitations (i.e., residues) of phase unwrapping. It presents three common unwrapping methods: the global Fourier transform method, the path-following branch-cut method, and the minimum cost flow method. Additionally, it covers methods for correcting integer ambiguities using phase closure within stacks of interferograms.

Three potential climate futures — 1.5 °C, 2 °C, and 3.6 °C — are predicted by the UNFCCC’s ‘climate action pathways’, each with major and escalating implications for adaptation and mitigation. Marina Romanello, Co-Lead Health Editor for The Monitor, highlights the dangers of anything above a 1.5 °C scenario, emphasizing increased health risks and economic damages. The chapter outlines the CVF Monitor’s projections for each of the three scenarios and discusses the significant differences in outcomes depending on global warming levels. Stressing the importance of adhering to international agreements like the Paris Agreement, immediate and substantial emissions reductions are crucial to avoid catastrophic impacts. The chapter underscores the need for global cooperation in achieving these goals.

This chapter focuses on the importance of circular business models and the synergies they create within circular economy liveable cities. Circular business models emphasise reducing waste, reusing resources, and recycling materials, promoting sustainable economic growth while addressing environmental challenges. By fostering innovation, resource efficiency, and collaboration across various sectors, these models help cities transition to a circular economy. The chapter highlights the role of leadership, imagination, and curiosity in driving this transformation. Leaders are key to setting ambitious goals and mobilising resources, while imaginative thinking and curiosity foster the development of innovative solutions to urban challenges. Examples from companies like Interface, Patagonia, and Philips Lighting demonstrate how visionary leadership and creative business models contribute to sustainability and circularity. The chapter explores the synergies between circular business models and urban systems, with case studies from cities like Amsterdam and Paris. These cities have adopted circular strategies that integrate sustainable waste management, renewable energy, and resource-efficient practices, showcasing the transformative potential of circular economies. Ultimately, the chapter argues that circular business models are essential for creating resilient, sustainable cities. By leveraging leadership, innovation, and cross-sector collaboration, cities can foster circular economies that promote environmental sustainability, economic growth, and improved quality of life.

Climate change impacts are, however, coming to us all — developing and developed countries alike. For instance, Hurricane Maria’s devastation in the Caribbean and extreme heatwaves in Europe exemplify how no region is immune. The chapter discusses how even developed nations face significant challenges, such as wildfires in Australia and California, and flooding in Germany. Comprehensive policy responses are essential to address these widespread impacts. Insights from experts such as Ken Ofori-Atta, Ghana’s Minister for Finance, highlight the extensive effects of climate change, including infrastructure damage, economic costs, health effects, and migration. The chapter calls for a unified global effort to mitigate climate risks, improve infrastructure resilience, and implement robust economic and health strategies to protect all populations from the escalating consequences of climate change.