This study compared concentrations and export of total phosphorus (TP; including dissolved and particulate forms) and nitrogen (N) between quickflow and delayed flow at two adjacent agricultural catchments (Jennings and McLarens Creeks), one of which is undergoing increased urbanization. Annual runoff, frequency of quickflow events in the growing season (GS), and chloride (Cl⁻) concentrations and export were greater at the more urbanized Jennings Creek.

A novel approach to study vegetation dynamics is introduced, using the Empirical Mode Decomposition (EMD) to analyze NDVI time series. The NDVI time series which is nonlinear and nonstationary can be decomposed by EMD into components called intrinsic mode functions (IMFs), based on inherent temporal scales. The highest frequency component which has been found to represent noise is subtracted from the original NDVI series; thus smoothing the noisy signal. The different key features describing vegetation phenology have been extracted by analyzing the noise free signal.

Arctic soils contain three times as much carbon (C) as all aboveground biomass distributed globally, much of which is stored in permafrost soils. Here, we (1) determine the predictability of estimating soil organic carbon (SOC) using different satellite data, classifications, and methods; (2) estimate the quantity and distribution of SOC for the top 10 cm for the Ambolikha River watershed (~121 km ²) in northeast Siberia, a sub-watershed of the Kolyma River; and (3) produce a hybrid SOC map through data fusion, combining the strengths of each data type.

Urbanization is increasingly becoming a widespread phenomenon at all scales of development around the globe. Be it developing or developed nations, all are witnessing urbanization at very high pace. In order to study its impacts, various methodologies and techniques are being implemented to measure growth of urban extents over spatial and temporal domains. But urbanization being a very dynamic phenomenon has been facing ambiguities regarding methods to study its dynamism. This paper aims at quantifying urban expansion in Delhi, the capital city of India.

This study investigates the impact of using different combinations of Moderate Resolution Imaging Spectroradiometer (MODIS) and ancillary datasets on overall and per-class classification accuracies for nine land cover types modified from the classification system of the International Geosphere Biosphere Programme (IGBP).

In the present study, a semi‐distributed hydrological model soil and water assessment tool (SWAT) has been employed for the Ken basin of Central India to predict the water balance. The entire basin was divided into ten sub basins comprising 107 hydrological response units on the basis of unique slope, soil and land cover classes using SWAT model. Sensitivity analysis of SWAT model was performed to examine the critical input variables of the study area.

Comparability among population data enumerated within different time periods may be complicated by changing enumeration boundaries over time. Areal interpolation methods are commonly used to solve such zoning incompatibilities, but are frequently based on the questionable assumption of homogeneous population density within the different zones. To achieve more accurate estimates, land cover or other ancillary data may be used to better characterize the underlying source zone population density surface prior to areal interpolation.

This research aims to improve land-cover classification accuracy in a moist tropical region in Brazil by examining the use of different remote-sensing-derived variables and classification algorithms. Different scenarios based on Landsat Thematic Mapper (TM) spectral data and derived vegetation indices and textural images and different classification algorithms, maximum likelihood classification (MLC), artificial neural network (ANN), classification tree analysis (CTA) and object-based classification (OBC), were explored.

In this paper solutions are proposed to improve the performance of a wheeled robot for rural environment. These solutions can be used for a wheeled mobile robot that moves upon curved surfaces, surfaces with irregularities and small coefficient of static friction between the wheels and the surface. The design and control of the robot are based on a new concept of a wheeled mobile robot, which can work in two different modes.

Connections between human activities (social systems) and nature (ecological systems) are key factors affecting forest-cover change in tropical peatland ecosystems. However, the complexity of these socio-ecological factors is often poorly understood. This study identifies the socio-ecological factors influencing land-cover change in the ex-Mega Rice Project area of Central Kalimantan Province, Indonesia.

Climate change affected the agricultural expansion and the formation of farming-grazing transitional patterns during historical periods. This study analyzed the possible range of the boundary shift of the potential suitable agriculture area in the farming-grazing transitional zone in the northeastern China during the 20th century.

New residential developments in the Southeastern United States peaked in early 2006, but since then declined leaving numerous residential developments stalled in various stages of construction. The status of 119 previously identified (2009) abandoned residential housing developments was reinvestigated in 2013 using the most current available high-resolution aerial photography with a randomly selected number of sites (40) in Greenville, Pickens and Spartanburg Counties in South Carolina.