The prospect of GIS technology to create and to use of soil maps is stated. Conducted a GIS analysis of soil cover the territory of Cherven District showed the predominance of retisols of large areas isomorphic and asymmetrical shapes, three times less than the average area for podzols with isomorphic form. The most complicated form of areas marked for alluvial soil types. Their coefficients of irregularity boundaries typically less than 0.2, and are fluvial forms of areas.

AW3Dsup(TM), the world's most precise global 3D map service, became the world's first five-meter-resolution 3D map covering all global land spaces in April 2016 by using Advanced Land Observing Satellite (ALOS). In addition to five-meter-resolution global map, enhanced service offers a higher-resolution 3D map at half-meter or two-meter resolution, both of which are offered on an on-demand basis using commercial high-resolution satellite imagery. This paper introduces the project history, technical characteristics, service contents, use cases and future prospects of AW3Dsup(TM).

In this study, we compared pixel-based image analysis and object-based image analysis (OBIA) as methods of land cover classification of urban areas, using high resolution digital aerial photography. The study area was Setagaya Ward, Tokyo, Japan, and we carried out supervised classification using aerial photographs with 25-cm spatial resolution, and with both visible bands and a near infrared band. The overall accuracy of the object-based classification was approximately 6 to 20 percentage points higher than that of the pixel-based classification.

Application of the satellite remote sensing techniques to wildlife research began from discernment of the individual animal and/or evaluation of animal behavior from the photography experiments. Satellite remote sensing to wildlife research at the present has applied for the purpose of evaluating the animal habitat. Trends in satellite remote sensing for wildlife are evaluating the index of wildlife habitat and estimating relationship with an environmental variables and animal distribution.

Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data selected, and image processing methods used, among others. This study extracted agricultural fields in the former homelands of Venda and Gazankulu in Limpopo Province, South Africa.

In Indonesia, land cover change for agriculture and mining is threatening tropical forests, biodiversity and ecosystem services. However, land cover change is highly dynamic and complex and varies over time and space. In this study, we combined Landsat-based land cover (change) mapping, pixel-to-pixel cross tabulations and expert knowledge to analyze land cover change and forest loss in the West Kutai and Mahakam Ulu districts in East Kalimantan from 1990–2009.

The Las Vegas urban area expanded rapidly during the last two decades. In order to understand the impacts on the environment, it is imperative that the rate and type of urban expansion is determined. Remote sensing is an efficient and effective way to study spatial change in urban areas and Spectral Mixture Analysis (SMA) is a valuable technique to retrieve subpixel landcover information from remote sensing images.

In this article, we first summarise trends of land use changes and urbanisation in Ireland since 1990 using data from the Corine Land Cover program. In doing so, we compare the developments in Ireland with other European countries. Second, we propose a statistical test for the presence of sprawl using conditional and unconditional convergence tests. The two-part empirical analysis allows us to establish that Ireland has experienced a substantial loss of non-urban land in recent decades.

This paper explores the relationship between land cover change and albedo, recognized as a regulating ecosystems service. Trends and relationships between land cover change and surface albedo were quantified to characterise catchment water and carbon fluxes, through respectively evapotranspiration (ET) and net primary production (NPP). Moderate resolution imaging spectroradiometer (MODIS) and Landsat satellite data were used to describe trends at catchment and land cover change trajectory level. Peak season albedo was computed to reduce seasonal effects.

Climate and land use/cover changes are potential drivers of change in hydrology and water use. Incidences of these factors on Bandama hydrological basin and Kossou hydropower generation (1981–2016) in West Africa are assessed in this present work. Using Landsat products of United Stated Geological Survey, results show that water bodies areas and land use have increased by 1.89%/year and 11.56%/year respectively, whereas herbaceous savanna, savanna, forest and evergreen forest coverage have been reduced by 1.39%/year, 0.02%/year, 2.39%/year and 3.33%/year respectively from 1988 to 2016.

The negative impact of the reduction of vegetation cover is already being felt in the Zambezi Region in northeastern Namibia. The region has been undergoing various land cover changes in the past decades. To understand the historical trend of vegetation cover (increase or decrease), we analyzed 8-km resolution Global Inventory Monitoring and Modeling Studies (GIMMS) from the Advanced Very High Resolution Radiometer (AVHRR) and 0.25° × 0.25° (resampled to 8 km) resolution Global Precipitation Climatology Center (GPCC). We used the Time Series Segmented Residual Trends (TSS-RESTREND) method.

This analysis and recommendations stem from USAID/Kenya’s request for an assessment of Kenya’s draft National Land Policy (dNLP).4 It was conducted under the global task order: Property Rights and Resource Governance Program, a mechanism designed and supervised by USAID-EGAT’s Land Resources Management Team under the Office of Natural Resources Management.