land cover

Recent developments in satellite data availability allow tropical forest monitoring to expand in two ways: (1) dense time series foster the development of new methods for mapping and monitoring dry tropical forests and (2) the combination of optical data and synthetic aperture radar (SAR) data reduces the problems resulting from frequent cloud cover and yields additional information.

Understanding the patterns and drivers of land use and land cover (LULC) changes is fundamental for rational and specific planning for sustainable land management.

The Las Vegas urban area expanded rapidly during the last two decades. In order to understand the impacts on the environment, it is imperative that the rate and type of urban expansion is determined.

Sustainable management of the natural resources requires critical understanding of the dynamics of land use and land cover change (LULCC). Nguruman sub-catchment in the northern part of Kajiado County has experienced rapid land use and land cover changed over the past decades.

Land Use and Land Cover Change (LULCC) is the most prominent cause of Soil Organic Carbon (SOC) variability in any landscape. Kenyan Arid and Semi-Arid Lands (ASALs) have been facing extensive land use/ cover changes in the last three decades prompting a review on the impacts it has on soil quality and consequently on land degradation.

Region:East Africa.Focus:A review of catchment studies (n = 37) conducted in East Africa evaluating the impacts ofLand Use and Land Cover Changes (LULCC) on discharge, surface runoff, and lowflows.New hydrological insights:Forest cover loss is accompanied by increased stream discharges andsurface runoff.

In Indonesia, land cover change for agriculture and mining is threatening tropical forests, biodiversity and ecosystem services. However, land cover change is highly dynamic and complex and varies over time and space.

Trends.Earth (formerly the Land Degradation Monitoring Toolbox) is a platform for monitoring land change using earth observations in an innovative desktop and cloud-based system.

The three sub-indicators for monitoring achievement of Land Degradation Neutrality (LDN, Sustainable Development Goal (SDG) Target 15.3), are supported by: productivity, land cover, and soil organic carbon.

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.

Despite agricultural land abandonment threatening the food security and the livelihoods of smallholder farmers, it is pervasive globally and in developing countries. Yet land abandonment is an understudied aspect of land use change in social–ecological systems.

Both research and policy recognize land systems as fundamental to human life and activities. However, these two perspectives approach land from different ends and it can be difficult to see how studied variables contribute to broader policy goals.

Forests, particularly in the tropics, are suffering from deforestation and forest degradations. The estimation of forest area and canopy cover is an essential part of the establishment of a measurement, reporting, and verification (MRV) system that is needed for monitoring carbon stocks and the associated greenhouse gas emissions and removals.