Many actors in agricultural research, development, and policy arenas require accurate information on the spatial extents of cropping and farming practices. While remote sensing provides ways for obtaining such information, it is often difficult to distinguish between different types of agricultural practices or identify particular farming systems. Stochastic system behavior or similarity in the spectral signatures of different system components can lead to misclassification.

Urban green spaces and their role in the quality of life of residents have been studied across multiple disciplines, based on empirical measurements or qualitative studies – however, the relation, and its strength, between spatial indicators of urban green spaces and visitors’ perceptions of green spaces are less known.

Low adoption of sustainable intensification technologies hinders achievement of their potential impacts on increasing agricultural productivity. Proper targeting of locations to scale-out particular technologies is a key determinant of the rate of adoption. Targeting locations with similar biophysical and socio-economic characteristics significantly increases the probability of adoption. Areas with similar biophysical and socio-economic characteristics are referred to as recommendation domains (RDs).

This study examined the trends, driving factors, and implications of land use/land cover (LULC) dynamics over the past 35 years (1982–2017) in three watersheds of the drought-prone areas that represent different agro-ecologies of Upper Blue Nile basin, Ethiopia: Guder (highland), Aba Gerima (midland), and Debatie (lowland). The changes in LULC were analyzed by integrating field observations, remote-sensing data (aerial photographs [1: 50,000 scale] and very high resolution [0.5–3.2 m] satellite images), and geographic information systems.

Recent studies assessing agricultural policies, including the EU’s Agri-Environment Scheme, have shown that these have been successful in attaining some environmental goals. In Finland, however, the economic situation of farms has dramatically fallen and hence, the actions do not result in social acceptability. Sustainable intensification is a means to combine the three dimensions of sustainability: environmental, economic and social. Here we introduce a novel land use optimization and planning tool for the sustainable intensification of high-latitude agricultural systems.

An urgent need to stop degradation is frequently cited as support for climate mitigation efforts involving forests. However, lessons learnt from social science research on degradation narratives are not taken into consideration. This creates a risk of problematic degradation narratives being used to legitimise forest carbon projects. This study examined a Clean Development Mechanism (CDM) forest plantation in Uganda, where incomplete and partly contradictory evidence on land use change was interpreted in a way that overemphasised degradation.

Land as an essential resource is becoming increasingly scarce due to population growth. In the case of the Kenyan coast, population pressure causes land cover changes in the Arabuko Sokoke Forest, which is an important habitat for endangered species. Forest and bushland have been changed to agricultural land in order to provide livelihood for the rural population who are highly dependent on small-scale farming. Unclear land rights and misbalanced access to land cause uncontrolled expansion and insecure livelihoods.

The construction of consistent time series of land use presents a key challenge when accounting for elective land use-based activities under the Kyoto Protocol (wetland drainage and rewetting (WDR), cropland management (CM) and grazing land management (GM)), in which current land use-driven greenhouse gas emissions are compared to a reference situation in 1990. This case study is the first to demonstrate the feasibility of using high-resolution land-use proxies from different datasets for Kyoto accounting in a data-rich case study region in Germany.

It took scientists more than three decades to transform a perceived desertification crisis in the Sahel into a non-event. Looking beyond the Sahel, the chapters in this book provide case studies from around the world that examine the use and relevance of the desertification concept.

The study examines long-term land use/land cover change (LUCC) at a finer scale in a semi-arid region of India. The objectives were to study and quantify the spatiotemporal LUCC and uncover the major drivers causing the change in the Mula Pravara river basin, which is located in a semi-arid region of Maharashtra state, India.

Ce document vise à faciliter la collecte de données comparable entre pays pour le calcul des indicateurs des ODD 1.4.2 et 5.a.1 conformément aux méthodologies approuvées par l’IAEG-SDG. Cette publication donne un aperçu des indicateurs, une discussion sur les différents modules de questionnaire proposés et des conseils détaillés pour chacun.

The complexity of tenure claims in the informal settlements has been difficult to incorporate into the formal systems owing to their dynamic and continuously changing nature. Innovative tools are therefore required to capture these claims. This requires the development of a cadastral data model specifically for informal settlements that would document such claims to make it easier to manage the current situation as well as prepare for future formalization processes such as regularization or relocation.