The land surface models used in numerical weather forecasts and hydrological applications rely on the accuracy of land cover maps available from satellite remote sensing to simulate the energy and water balance at the surface of the Earth. While the impact of classification accuracy on land surface simulations has already been reported, little attention has been paid on the consequences of land cover map uncertainty driven by geolocation accuracy.

Freshwater lakes are known to release carbon dioxide (CO₂) and methane (CH₄) to the atmosphere; however, the importance of lakes in global nitrous oxide (N₂O) budgets is not yet known. Further, despite the abundance of small lakes on the landscape, neither emissions of these gases nor their drivers are well described.

Sediment delivery from the Le Sueur River watershed is a major concern in the turbidity-impaired Minnesota River. As part of a broader effort to develop a sediment budget for the Le Sueur River, this study implemented a process-based watershed hydrology and upland erosion model, Water Erosion Prediction Project (WEPP), to simulate hydrology and sediment dynamics in several land-use/land-cover scenarios. The Geo-spatial interface for WEPP (GeoWEPP) was used to characterize upland overland flow elements based on their land use/land cover, soil, and slope profiles.

Land use/cover change (LUCC) is a major indicator of the impact of climate change and human activity, particularly in the Sahel, where the land cover has changed greatly over the past 50 years. Aerial and satellite sensors have been taking images of the Earth's surface for several decades. These data have been widely used to monitor LUCC, but many questions remain concerning what type of pre-processing should be carried out on image resolutions and which methods are most appropriate for successfully mapping patterns and dynamics in both croplands and natural vegetation.

Landscape pattern is of primary interest to landscape ecologists and landscape metrics are used to quantify landscape pattern. Metrics are commonly defined and calculated on raster-based land cover maps. One metric is the contagion, existing in several versions, e.g., unconditional and conditional, used as a measure of fragmentation. However, mapped data is sometimes in vector-based format or there may be no mapped data but only a point sample. In this study a definition of contagion for such cases is investigated.

Due to the progressive forest expansion in European mountain areas triggered by agricultural abandonment, semi-natural meadows and pastures of great ecological and aesthetic value are disappearing. The aim of this study is to predict and analyse the future evolution of land use and land cover (LULC) in the Stubai Valley, Central Alps. We propose a computational Population Dynamics P system (PDP) model that incorporates the main LULC change processes like plant production, grazing, abandonment and reforestation.

Europe is characterized not only by large geomorphological variability but also by a long history of land use. This resulted in a highly variegated landscape. Based on the IGBP‐transect initiative, a north south transect was established across Europe ranging from north Sweden to central Italy in order to study effects of global change. Mainly process oriented studies were established on plots along the transect, and these were used to establish functional relationships as basis for landscape integration.

Quantifying landscape‐scale methane (CH₄) fluxes from boreal and arctic regions, and determining how they are controlled, is critical for predicting the magnitude of any CH₄ emission feedback to climate change. Furthermore, there remains uncertainty regarding the relative importance of small areas of strong methanogenic activity, vs. larger areas with net CH₄ uptake, in controlling landscape‐level fluxes.

The fundamental land use/land cover change (LUCC) of Naoli River (NLR) Basin in Sanjiang Plain since 1954 is characterized with a very significant shrink of wetland area, primarily due to agricultural reclamation, especially farm construction. In this paper, LUCC data of six periods were generated to explore the process of LUCC in NLR; the driving factors were discovered and the regression analysis of these driving factors was realized using the Dyna-CLUE model; and the land use pattern of 2020 in NLR Basin was projected under six scenarios.

Land is one of the prime natural resources. A city grows not only by population but also by changes in spatial dimensions. Urban population growth and urban sprawl induced land use changes and land transformation. The land transformation is a natural process and cannot be stopped but it can be regulated. Many geographical changes at the urban periphery are associated with the transfer of land from rural to urban purpose. There is an urgent need for fast growing areas like Delhi, which can be easily done by high-resolution remote sensing data.

An important component of satellite-based soil moisture algorithm development and validation is the comparison of coincident remote sensing and in situ observations that are typically provided by intensive field campaigns. The planned NASA Soil Moisture Active Passive (SMAP) mission has unique requirements compared to previous soil moisture satellite programs because both active and passive microwave observations are needed. The primary source of these combined observations has been an aircraft-based SMAP simulator called PALS (Passive and Active L-band System).

Urban freshwaters provide a range of ecosystem services, including stormwater management, water treatment, biodiversity, and aesthetics. Management of freshwaters should aim to maximise as many of these services as possible, but managers are often focused on individual services. To test for the biodiversity value of stormwater management ponds (SMPs) in Ottawa, Canada, 20 SMPs were surveyed for macroinvertebrates using standardised sampling techniques.