Global insurance markets are vast and diverse, and may offer many opportunities for remote sensing. To date, however, few operational applications of remote sensing for insurance exist. Papers claiming potential application of remote sensing typically stress the technical possibilities, without considering its contribution to customer value for the insured or to the profitability of the insurance industry. Based on a systematic search of available literature, this review investigates the potential and actual support of remote sensing to the insurance industry.

Background: ‘Climate-smart agriculture’ (CSA)—agriculture and food systems that

sustainably increase food production, improve resilience (or adaptive capacity) of farming

systems, and mitigate climate change when possible—has quickly been integrated into the

global development agenda. However, the empirical evidence base for CSA has not been

assembled, complicating the transition from CSA concept to concrete actions, and

contributing to ideological disagreement among development practitioners. Thus, there is an

A number of studies have suggested that addressing greenhouse gas (GHG) emissions from agricultural

production, or ‘supply-side emissions’, will be insufficient to reduce agri-food sector GHG emissions to limit

the increase of global temperatures to well below 2o

C. Recent studies have also suggested that ‘demandside

measures’ related to food consumption, food value chains, and food loss and waste, will be necessary

to reduce emissions and may have a larger technical mitigation potential than supply-side measures.

This report is aimed at readers who seek to build economic evidence in support of the inclusion of actions on agriculture in climate change plans and programmes, particularly at the national level under the umbrella of nationally determined contributions (NDCs) to the December 2015 Paris Agreement, which aims to restrict a rise in global temperatures and manage risks.

Survey on the economy of Botswana, w. emphasis on mining production, gross domestic product, prices, cereal production, and livestock and meat export.

This report presents 4 scenarios for the future of food security, agriculture, livelihoods and environments in East Africa. These scenarios were developed by the CGIAR Research Program on Climate Change, Agriculture and Food Security in collaboration with a wide range of regional stakeholders. The report discusses the theory and development process

This working paper examines the development of regional socioeconomic scenarios for West Africa’s development, agriculture, food security and climate impacts. We present four globally consistent regional scenarios framed and outlined by regional experts who crafted narratives and determined key drivers of change. Stakeholders identified the type of actors driving change and the timeline of strategic planning as the most uncertain and most relevant factors of change affecting food security, livelihoods and environments in the region.

This report reflects upon the consolidated findings from the baseline and scoping studies conducted under the auspices of Global Framework for Climate Services (GFCS) Adaptation Programme in Africa. It identifies gaps in climate information access and use at the local level, type of climate services farmers and pastoralists need in Tanzania, relevant channels to reach farmers with requested services, lead-time and gender specific requirements.

Interannual variation in rainfall throughout Tamil Nadu has been causing frequent and noticeable land use changes despite the rapid development in groundwater irrigation. Identifying periodically water-stressed areas is the first and crucial step to minimizing negative effects on crop production. Such analysis must be conducted at the basin level as it is an independent water accounting unit.

Looks at the allocation of resources to livestock research in Africa. Assesses the role of agricultural research and its value to national governments. Investigates the appropriate criteria to use for decision making by comparing three kinds of decision-making models. Presents conclusions for policy-making.