Soil moisture pulses are a prerequisite for other land surface pulses at various spatiotemporal scales in arid and semi-arid areas. The temporal dynamics and profile variability of soil moisture in relation to land cover combinations were studied along five slopes transect on the Loess Plateau during the rainy season of 2011. Within the 3 months of the growing season coupled with the rainy season, all of the soil moisture was replenished in the area, proving that a type stability exists between different land cover soil moisture levels.

India, a mega-diverse country, possesses a wide range of climate and vegetation types along with a varied topography. The present study has classified forest types of India based on multi-season IRS Resourcesat-2 Advanced Wide Field Sensor (AWiFS) data. The study has characterized 29 land use/land cover classes including 14 forest types and seven scrub types. Hybrid classification approach has been used for the classification of forest types.

Full and effective participation of indigenous peoples and local communities, and high accuracy estimates are two current requirements for the purposes of monitoring forests at international level. We produced two land cover maps, both of which were based on digital image processing (decision trees) using Rapideye imagery, and a land cover participatory map, for indigenous territories of eastern Panama. Accuracy of the three maps was evaluated using field data.

Depending on the researches done on urban landscapes, it is found that the heat island intensity caused by the activities in any city has some impact on the ecosystem of the region and on the regional climate. Urban areas located in arid and semiarid lands somehow represent heat increase when it is compared with the heat in the surrounding rural areas. Thus, cities located amid forested and temperate climate regions show moderate temperatures. The impervious surfaces let the rainfall leave the city lands faster than undeveloped areas.

The purpose of this study is to understand changes in green infrastructure (GI) in the Seoul metropolitan area, South Korea, focusing on the critical GI components of hubs and links. We applied a morphological analysis tool, morphological spatial pattern analysis (MSPA), to explore GI in the Seoul metropolitan area. For input data to run MSPA, we used 30-m pixel-sized land cover data of 2000 and 2009 provided by the Ministry of Environment of Korea. Land cover data are used as foundational information for GI network mapping.

For the first time in more than a century, people across the planet are migrating en mass from cities to rural areas. In this process of ‘exurbanisation’ humans are rapidly converting natural and agricultural regions into low‐density housing. Despite the scale of this exurban development and its potential negative impact on biodiversity, little is known about how this specific type of land conversion impacts wild pollinators.

Lyme disease is the United States’ most significant vector-borne illness. Virginia, on the southern edge of the disease’s currently expanding range, has experienced an increase in Lyme disease both spatially and temporally, with steadily increasing rates over the past decade and disease spread from the northern to the southwestern part of the state. This study used a Geographic Information System and a spatial Poisson regression model to examine correlations between demographic and land cover variables, and human Lyme disease from 2006 to 2010 in Virginia.

Land use change can alter the ecological mechanisms that influence infectious disease exposure in animal populations. However, few studies have empirically integrated the environmental, spatial, and dietary patterns of wildlife epidemiology. We investigate how urbanization, habitat type, and dietary behavior are associated with coyote (Canis latrans) parasitism structure along a gradient of rural to urban land cover using multivariate redundancy analyses. Coyote fecal samples were collected in eight urban and six rural sites in Calgary, Alberta, Canada.

Agricultural lands soil and agrochemical inspection technique in plain regions without relief digital model creation was improved. The technique is based on the differentiated study of influence of shooting ranges by the complicated cluster analysis of light reflection of ecosystems. The possibility of color channels variation in RGB system for the separate consideration of absorption of solar radiation by the soil and vegetable cover has been taken into account.

CONTEXT: The Natura 2000 network is the centerpiece of European nature conservation policy but its effectiveness is challenged by ongoing landscape change. OBJECTIVE: Our objective was to assess landscape connectivity between Natura 2000 sites in the biodiversity-rich western Mediterranean region. METHODS: We used the wood mouse as a focal species with short-range dispersal and obtained genetic data for 393 individuals uniformly distributed between two Natura 2000 sites in SW Portugal.

We present quantitative reconstructions of regional vegetation cover in north‐western Europe, western Europe north of the Alps, and eastern Europe for five time windows in the Holocene [around 6k, 3k, 0.5k, 0.2k, and 0.05k calendar years before present (bp)] at a 1° × 1° spatial scale with the objective of producing vegetation descriptions suitable for climate modelling.

Multitemporal datasets can provide information on the different acquisition patterns of pixel values. The resultant generation of simulated images based on these patterns becomes practical and easy. In this paper, we propose a simple model for creating a simulated image based on a set of multitemporal satellite images and meteorological data utilizing a temporal correlation of multitemporal images. The satellite images and meteorological data used for the model can be easily accessed through open data sources.