Land cover change under unplanned human settlements: A study of the Chyulu Hills squatters, Kenya

In this study, we measured and characterized the relative dielectric constant of mineral soils over the 0.3–3.0 frequency range, and compared our measurements with values of three dielectric constant simulation models (the Wang, Dobson, and Mironov models). The interrelationship between land cover and soil texture with respect to the dielectric constant was also investigated. Topsoil samples (0–10 cm) were collected from homogenous areas based on a land unit map of the study site, located in the Gamsar Plain in northern Iran.

This study evaluated the effect of Land Use and Land Cover (LULC) dynamics on the value of ecosystem services in Abaya-Chamo basin over 1985–2050. The main objectives of the study were to estimate the value of ecosystem services of Abaya-Chamo basin using local and global ecosystem service value coefficients, assess how it changes over time, and develop tools to inform policy and public decision-making to protect lands and waters in the region.

The Land Sector Non State Actors (LSNSA) is a network of civil society organizations working together to promote secure and equitable access to land and natural resource for all through advocacy, dialogue and capacity building. We petition parliament on issues we hold to be of fundamental importance in the context and content of the two bills before the National Assembly.

The first set of the land laws were enacted in 2012 in line with the timelines outlined in the Constitution of Kenya 2010. In keeping with the spirit of the constitution, the Land Act, Land Registration Act and the national Land Commission Act respond to the requirements of Articles 60, 61, 62, 67 & 68 of the Constitution.

The Role Of Wetlands In Poverty Reduction- Extreme poverty among rural poor people living around wetlands remains a daily reality for more than 56% of Kenya’s population, who subsist on less than one dollar a day. Seventy percent of extremely poor households, a majority of who live in rural areas where hunger and poverty prevails, are now being caught up in a new web of lack of access to wetlands as safety-net during hard times due to appropriation of wetlands by private developers.

Dryland (arid and semi-arid) ecosystems occupy more than 41% of global land area and are home to 2.5 billion people. More than 50% of South Asia’s dryland ecosystems are located in India. Drylands contribute about 40% of the total food grain production and support two thirds of livestock population. Despite these important roles, agricultural production systems in the drylands are facing numerous challenges that threaten their resilience and future sustainability. This paper demonstrates some of the challenges and draws implications for priorities research and strategies.

The wide availability of multispectral satellite imagery through projects such as Landsat and Sentinel, combined with the introduction of deep learning in general and Convolutional Neural Networks (CNNs) in particular, has allowed for the rapid and effective analysis of multiple classes of problems pertaining to land coverage. Taking advantage of the two phenomena, we propose a machine learning model for the classification of land abandonment.

Understanding the trajectories and extents of land use/land cover change (LULCC) is important to generate and provide helpful information to policymakers and development practitioners about the magnitude and trends of LULCC. This study presents the contributing factors of LULCC, the extent and implications of these changes for sustainable land use in the Finchaa catchment. Data from Landsat images 1987, 2002, and 2017 were used to develop the land use maps and quantify the changes. A supervised classification with the maximum likelihood classifier was used to classify the images.

Land use and land cover change (LULCC) is a critical factor for enhancing the soil erosion risk and land degradation process in the Wabi Shebelle Basin. Up-to-date spatial and statistical data on basin-wide erosion rates can provide an important basis for planning and conservation of soil and water ecosystems. The objectives of this study were to examine the magnitude of LULCC and consequent changes in the spatial extent of soil erosion risk, and identify priority areas for Soil and Water Conservation (SWC) in the Erer Sub-Basin, Wabi Shebelle Basin, Ethiopia.

Statistical Yearbook of Indonesia 2019 is an annual publication presenting various data from BPS-Statistics Indonesia and other agencies. The publication provides general pictures of geographic and climate conditions, government, as well as key socio-demographic and economic characteristics of Indonesia. The data in some particular tables are presented at provincial and international level to compare socio-economic condition inter-regions and inter-countries.

Urban indicators plays an important role in the planning and sustainable development of the cities. This paper presents a methodology to determine the favorability index for development of Singapore based on land cover. The ‘City Index’ of Singapore was calculated using five indicators – Social, Environmental, Industrialization, Economic, and Naturality. Two indices ‘Environmental Capacity of Development’ and ‘Land Restriction’ were used as correction factors in the Singapore favorability index for development determination.