This report examines the scientific basis for the use of remotely sensed data, particularly Normalized Difference Vegetation Index (NDVI), primarily for the assessment of land degradation at different scales and for a range of applications, including resilience of agro-ecosystems. Evidence is drawn from a wide range of investigations, primarily from the scientific peer-reviewed literature but also non-journal sources. The literature review has been corroborated by interviews with leading specialists in the field. The report reviews the use of NDVI for a range of themes related to land degradation, including land cover change, drought monitoring and early warning systems, desertification processes, greening trends, soil erosion and salinization, vegetation burning and recovery after fire, biodiversity loss, and soil carbon. This SpringerBrief also discusses the limits of the use of NDVI for land degradation assessment and potential for future directions of use. A substantial body of peer-reviewed research lends unequivocal support for the use of coarse-resolution time series of NDVI data for studying vegetation dynamics at global, continental and sub-continental levels. There is compelling evidence that these data are highly correlated with biophysically meaningful vegetation characteristics such as photosynthetic capacity and primary production that are closely related to land degradation and to agroecosystem resilience.

This book provides a coherent review of NDVI including its origin, its availability, its associated advantages and disadvantages, and its possible applications in ecology, environmental monitoring, wildlife management, and conservation.

This unique book focuses on environmental degradation in Asian countries including land degradation and soil erosion. The land degradation covers assessing environmental degradation using geospatial technology, land use land cover mapping, environmental and anthropogenic degradation, assessment of land degradation vulnerability, evaluation of the impact of earthquake and the environmental control of the sand dunes. It also addresses the soil degradation and environmental pollution and presents several case studies such as tectonic activity and erosion, assessment of aircraft sound, soil degradation assessment for the arid territories, soil pollution, waste engine oil contamination, soil degradation, soil erosion modelling, land use and land cover change and its effect on soil erosion changes. Additionally, the book discusses the impact of climate change, and human activities including urban environmental quality, air pollution and the impact of armed conflict on the environment. Moreover, topics such as vegetation degradation including forest changes, hydrological and agricultural drought are presented. The book includes authors and scientists from Egypt, Iraq, Iran, India, Mongolia, United Arab Emirates, Uzbekistan, Republic of Kazakhstan, USA, Turkey, South Africa, Italy, China, Malaysia, Poland and Russia. Graduate students, researchers, engineers, policy planners, policymakers and stockholders could benefit from the information and the knowledge in this book.

Land degradation neutrality (LDN) has been defined by the Parties to the Convention as: A state whereby the amount and quality of land resources, necessary to support ecosystem functions and services and enhance food security, remains stable or increases within specified temporal and spatial scales and ecosystems. The present report is an overview of the status of land degradation neutrality (LDN) in the region including a national overview for the 17 programme countries.

Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.

The first volume of the International Yearbook of Soil Law and Policy includes an important discussion on the implementation of the Sustainable Development Goals that are the basis for the post-2015 development agenda up to the year 2030; the Yearbook focuses in particular on Goal 15, which includes achieving a “land degradation-neutral world.” It also provides a comprehensive and highly informative overview of the latest developments at the international level, important cross-disciplinary issues and different approaches in national legislation. The book is divided into four sections. Forewords by internationally renowned academics and politicians are followed by an analysis of the content and structure of the Sustainable Development Goals with regard to soil and land as well as the scientific methods for their implementation. In addition, all relevant international regimes are discussed, including the latest developments, such as the decisions made at the 12th Conference of the Parties to the United Nations Convention to Combat Desertification (UNCCD) and the Paris Agreement on Climate Change. The next section deals with cross-disciplinary issues relevant to the implementation of the Sustainable Development Goals like the right to food, land tenure, migration and the “Economics of Land Degradation” initiative. The last section gathers reports on the development of national legislation from various nations and supra-national entities, including Brazil, China, the European Union, Mongolia, Namibia and the United States. Addressing this broad range of key topics, the book offers an indispensible tool for all academics, legislators and policymakers working in this field. The “International Yearbook of Soil Law and Policy” is a book series that discusses the central questions of law and politics with regard to the protection and sustainable management of soil and land – at the international, national and regional level.

In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.