Landscape connectivity is of paramount importance not only in maintaining both functionality and resilience of social-ecological systems, but also in providing Ecosystem Services (ESs). Despite recent efforts, several issues still need to be faced to fully integrate ESs evaluation relating to landscape connectivity into effective plans and environmental assessment procedures. Choosing an appropriate scale of analysis is one of the most problematic topics, since it can profoundly affect the evaluation of single patch contribution to global connectivity.

Changes in the coastal landscape of Southern Sinaloa (Mexico), between 2000 and 2010, were analyzed to relate spatial variations in wetlands extent with the provision and economic value of the ecosystem services (ES). Remote sensing techniques applied to Landsat TM imagery were used to evaluate land use/land cover changes while the value transfer method was used to assess the value of ES by land cover category. Five wetland types and other four land covers were found as representative of the coastal landscape.

Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper Plus (ETM+) images were used to assess the urban expansion dynamics and the corresponding thermal characteristics in Shenyang City, China. Unsupervised classification (ISODATA) and a hierarchy decision tree were applied to eight scenes of the Landsat images to derive the land use/land cover (LULC) around the Shenyang metropolitan region from 1986 to 2007.

The climatic and anthropogenic control on Holocene sediment dynamics was not well constrained for the Western Mediterranean basin. The paucity of high resolution palaeoenvironmental records long hampered a detailed understanding of the human impact on erosion rates. This paper analyses Holocene sediment dynamics in the context of regional climatic conditions, land cover and human occupation based on an extended compilation of recently published high-resolution paleoenvironmental proxy data from both terrestrial and marine environments.

The aim of this study was to examine the influence of land cover changes on soil organic carbon (SOC) and soil total nitrogen (STN) in the Daqing Prefecture of China, where heavy industrialisation in the form of dense oil wells has impacted the environment. Time‐series presentations for the period 1978 to 2008 of remotely sensed data and soil survey data were used to assess the extent of the changes.

Swat is part of the high mountain Hindu-Kush Himalayan region of Pakistan, with diverse biophysical and socio-economic characteristics. The region is endowed with many fragile and fragmented ecosystems, and land use and land cover changes have accelerated destructive processes with irreversible effects on ecosystems. The paper aims to (1) find proximate and underlying causes of land use and land cover changes; (2) analyse the drivers of change; and (3) reflect on the role of governance and policy.

The West African savannas are subject to changes in fire regimes related to land use intensification, which may infer significant biological modifications. We investigated the efficiency of MODIS fire products to account for the variability of fire regimes in relation to changes in land cover and savanna vegetation. The specificity and complementarities of both MODIS active fire (MOD14A2 and MYD14A2) and burnt area (MCD45A1) products were assessed in order to characterize fire regimes and to relate them with land cover.

Land cover is a key parameter in geosciences and a linkage between many aspects of the physical and human environments. Savannas belong to the biomes where land cover mapping with remote sensing faces the most difficulties and several studies already addressed the challenging definition of savanna land cover classes. With the aim to standardize ongoing mapping activities, the Land Cover Classification System (LCCS) was initiated in 1993.

In this study, a two-step classification procedure was used for classifying urban land cover. First, a hierarchy of seven image segmentations of different scales was created for an urban scene, and preliminary classifications were performed for each of the segmentations using a classification algorithm that provides the probability that a segment belongs to a land-cover class in addition to the class assignment. A higher probability for the assigned class indicates that a segment is more likely to have been classified correctly.

A number of land-cover products, both global and regional, have been produced and more are forthcoming. Assessing their accuracy would be greatly facilitated by a global validation database of reference sites that allows for comparative assessments of uncertainty for multiple land-cover data sets. We propose a stratified random sampling design for collecting reference data.

Many boreal waters are currently becoming browner with effects on biodiversity, fish production, biogeochemical processes and drinking water quality. The question arises whether and at which speed this browning will continue under future climate change. To answer the question we predicted the absorbance (a₄₂₀) in 6347 lakes and streams of the boreal region under future climate change. For the prediction we modified a numerical model for a₄₂₀ spatial variation which we tested on a temporal scale by simulating a₄₂₀ inter-annual variation in 48 out of the 6347 Swedish waters.

In this study we investigate the potential of fraction images derived from a linear spectral mixture model to detect vegetation phenology in Amazonia, and evaluate their relationships with the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices. Time series of MODIS 250-m data over three contrasting land cover types in the Amazon were used in conjunction with rainfall data, a land cover map and a forest inventory survey to support the interpretation of our findings.