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Taylor & Francis Group publishes books for all levels of academic study and professional development, across a wide range of subjects and disciplines.


Taylor & Francis Group publishes quality peer-reviewed journals under the Routledge and Taylor & Francis imprints. The newest part of the group, Cogent OA, offers a purely open access program.


Note from Land Portal:


Taylor & Francis Online contains many publications related to land issues, though mostly at the charge of a fee.

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Displaying 546 - 550 of 661

Variable retention silviculture in Tasmania's wet forests: ecological rationale, adaptive management and synthesis of biodiversity benefits

Journal Articles & Books
December, 2011

Summary The recognition that biodiversity conservation requires more than a system of reserves has led to the need to consider the outcomes of land management actions, such as timber harvesting, in the matrix land outside reserves. The design of harvesting systems can be guided by the natural disturbance regime, which in Tasmania's lowland wet eucalypt forests is infrequent, intense wildfire.

predictive modelling technique for human population distribution and abundance estimation using remote-sensing and geospatial data in a rural mountainous area in Kenya

Journal Articles & Books
December, 2011
Kenya
Africa

This study presents a predictive modelling technique to map population distribution and abundance for rural areas in Africa. Prediction models were created using a generalized regression analysis and spatial prediction (GRASP) method that uses the generalized additive model (GAM) regression technique. Dwelling unit presence–absence was mapped from airborne images covering 98 km² (30% of the study area) and used as a response variable. Remote-sensing-based (reflectance, texture and land cover) and geospatial (topography, climate and distance) data were used as predictors.

Super-resolution mapping using Hopfield Neural Network with panchromatic imagery

Journal Articles & Books
December, 2011

Land-cover proportions of mixed pixels can be predicted using soft classification. From the land-cover proportions, a hard land-cover map can be predicted at sub-pixel spatial resolution using super-resolution mapping techniques. It has been demonstrated that the Hopfield Neural Network (HNN) provides a suitable method for super-resolution mapping. To increase the detail and accuracy of the sub-pixel land-cover map, supplementary information at an intermediate spatial resolution can be used.

Assessing strategic water availability using remote sensing, GIS and a spatial water budget model: case study of the Upper Ing Basin, Thailand

Journal Articles & Books
December, 2011
Thailand

This paper assesses strategic water availability and use under different development pathways on a basin scale using remote sensing (RS), geographical information systems (GIS) and a spatial water budget model (SWBM). The SWBM was applied to the Upper Ing Basin in northern Thailand to investigate the spatial and temporal variations in the location of streams and water yields from different parts of the basin. The base simulation was carried out for the years 1998–2007 using a DEM and actual land-use data at 100-m resolution.

potential use of high-resolution Landsat satellite data for detecting land-cover change in the Greater Horn of Africa

Journal Articles & Books
December, 2011
Kenya
Africa

To assess the potential of high-resolution satellite data for land-cover monitoring in the Greater Horn of Africa, we used a regular sampling grid of 170 sites (each measuring 20 km × 20 km) located at the confluence of the latitudes and meridians across the study area. For each of these sites, Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM) satellite data were acquired for the years 1990 and 2000. A dot grid visual interpretation was used to assess land-cover change between the two dates in each of the sites.