This study evaluates the potential effects of changes in climate, population and land cover on the
quantity of surface water and groundwater resources in Lake Nakuru and Lake Elmenteita areas.
Multiple linear regression analysis of the variables was done using Statistical Package for Social
Sciences (SPSS) to achieve this objective. Population grows in the area at the rate of 3.4% to
4.5% while natural vegetation cover is diminishing at 2.5% annually. There is constant rise in

The Land Cover Atlas of the Republic of South Sudan provides information on the land cover distribution by administrative and sub-basin divisions. The dataset was created using the FAO/GLCN methodology and tools. Main data sources include satellite imagery from SPOT and Global Land Survey (GLS) Landsat, existing Africover land cover database and ancillary data.

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

Land cover maps derived from satellite images play a key role in regional and national land cover assessments. In order to compare maximum likelihood and minimum distance to mean classifiers, LISS-III images from IRS-P6 satellite were acquired in August 2008 from the western part of Isfahan. First, the LISS-III image was georeferenced. The Root Mean Square error of less than one pixel was the result of registration.

We report an investigation aimed at improving the understanding of the relationships between hydromorphology and land cover, and in particular aimed at identifying the spatial scale on which land cover patterns best account for the hydromorphology at a stream reach. This investigation was carried out in the Adour-Garonne basin. Several key findings emerged from the use of a new modeling procedure called “Random Forests”. Firstly, we established a typology of sites showing an upstream/downstream gradient structured by geographical descriptors and catchment hydromorphological features.

The Kailash Sacred Landscape (KSL) spreads across a vast region that includes remote portions of the Tibet Autonomous Region of China (TAR China) and contiguous areas of Nepal and India. This area is historically, ecologically, and culturally interconnected; it is the source of four of Asia’s most important rivers, and at the heart of this landscape is the sacred Mount Kailash, revered by millions of people in Asia and throughout the world.

The primeval vegetation of Singapore was largely lowland dipterocarp forest, with mangrove forest lining much of the coast and freshwater swamp forest found further inland adjacent to the streams and rivers. After colonization by the British in 1819, almost all the primeval vegetation was cleared for agriculture and other land uses. The most comprehensive vegetation map of Singapore was made in the 1970s and has not been updated since. Here we present an updated vegetation map of Singapore using information from satellite images, published works, and extensive ground-truthing.

Widespread and increasing urbanization has resulted in the need to assess, monitor, and understand its effects on stream water quality. Identifying relations between stream ecological condition and urban intensity indicators such as impervious surface provides important, but insufficient information to effectively address planning and management needs in such areas.

Mapping land cover and vegetation characteristics on a regional scale is critical to soil moisture retrieval using microwave remote sensing. In aircraft-based experiments such as the National Airborne Field Experiment 2006 (NAFE’06), it is challenging to provide accurate high resolution vegetation information, especially on a daily basis. A technique proposed in previous studies was adapted here to the heterogenous conditions encountered in NAFE’06, which included a hydrologically complex landscape consisting of both irrigated and dryland agriculture.

Many carbon dioxide (CO₂) emission‐reduction strategies currently under consideration rely on terrestrial carbon (C) sequestration to offset substantial proportions of CO₂ emissions. We estimated C sequestration rates and potential land areas for a diverse array of land‐cover changes in the Upper Midwest of the US, a “best case” region for this study because of its relatively modest CO₂ emissions and the large areas of cropland potentially available for conversion.

What landscapes best represent the land uses and land covers (LU/LC) of the continental United States? Would the set include a cornfield? A forest? A backyard? Combining principles of landscape ecology and computer science, we identified a small set of “exemplar landscapes”, representing distinct LU/LC pattern types of the conterminous US. We first partitioned the 1992 US National Land Cover Dataset into 193 705 landscapes, and quantified patterns with standard measures of LU/LC composition and configuration.