A 3D model communicates more effectively than a 2D model, hence the applications of 3D city models are rapidly gaining significance in urban studies. However, presently, there is a dearth of free of cost, high-resolution 3D city models available for use. This paper offers potential solutions to this problem by providing a globally replicable methodology to generate low-cost 3D city models from open source 2D building data in conjunction with open satellite-based elevation datasets. Two geographically and morphologically different case studies were used to develop and test this methodology: the Chinese city of Shanghai and the city of Nottingham in the UK. The method is based principally on OpenStreetMap (OSM) and Advanced Land Observing Satellite World 3D digital surface model (AW3D DSM) data and use GMTED 2010 DTM data for undulating terrain. Further enhancement of the resultant 3D model, though not compulsory, uses higher resolution elevation models that are not always open source, but if available can be used (i.e., airborne LiDAR generated DTM). Further we test and develop methods to improve the accuracy of the generated 3D models, employing a small subset of high resolution data that are not open source but can be purchased with a minimal budgets. Given these scenarios of data availability are globally applicable and time-efficient for 3D building generation (where 2D building footprints are available), our proposed methodology has the potential to accelerate the production of 3D city models, and thus to facilitate their dependent applications (e.g., disaster management) wherever commercial 3D city models are unavailable.

This assessment of ecology and diversity of Diatoms in Kuttanadu, is continuation of the previous publications of Green-algae and Blue-green-algae of the same region; all the three investigations were carried out simultaneously. The unique Kuttanadu wetlands (90˚17'N to 90˚40'N; 760˚19'E to 760˚33'E), a well known 'Rice bowl' of Kerala, spread over 53,639 hectares, is located in Alapuzha District of Kerala, India. This wetland was once known for its high biodiversity, but currently severely affected by intensive green-revolution activities of past few decades. Main objective of the present report is to explain the diversity and ecological status of Diatoms in relation to the environment conditions currently existing in the region. Duration of the study was from December 2009 to October 2010. Soil samples of three different soil-types in two different crop-seasons, at two diverse crop-growth-stages are analyzed and compared. Altogether 120 composite soil samples randomly collected from the broad wetlands are analyzed. A rich community of Diatoms, of 40 species is found out. The order Naviculales is observed as the dominant Diatom (40%) in these paddy wetlands. Ecological parameters of Diatoms were found highest in the Lower Kuttanadu soil region, during Virippu season, at the seedling-stage of the crop, whereas the lowest value for most of the parameters were observed in Kayal soils during Puncha season at the seedling-stage. Apart from the specific soil factors influencing Diatom population characteristics in the region, crop seasons and soil phosphorus are found to have significant influence on Diatoms in this wetland paddy soils.

Algae are one of the major groups of soil microflora in agricultural lands. Among algae, the bluegreens are considered to be very valuable in agriculture. The role of them in soil fertility enhancement has been extensively studied worldwide. Sustainable utilization of an organism for any human purpose depends on how successfully the ecology of the same is thoroughly understood. Kuttanadu is a unique tropical paddy-wetland. Ecology of blue-green-algae and the exact diversity of the same in the zone remained unexplored. This is the first report of the blue-green-algal community of Kuttanadu in relation to different soil-regions, seasons, and crop-growth-stages. A rich blue-green-algal diversity of 64 species, with Oscillatoriales as the dominants (38%), is observed in these paddy-fields. The highest values for all the ecological parameters analyzed were found in the Lower Kuttanadu soil region, during Virippu season, at panicle stage of the crop whereas the lowest values for most of the parameters were observed in Upper Kuttanadu soils during puncha season at the seedling and panicle stages. The species richness and diversity index showed positive correlation to crop seasons. Apart from the specific soil and climatic factors, the total number of blue green algal isolates showed positive correlation to total nitrogen and phosphorus in the soils.

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This study investigates the major environmental and socio-economic impacts of an increase in the area of rubber plantations and the changing patterns of drivers of land use changes by combining geospatial technologies and socio-economic methods. Using a combination of geospatial techniques and socio-economic methods, we mainly analysed the rate of increase in area under rubber plantations, major impacts of land use changes and the changing drivers of land use changes. Our results shows that the area under rubber plantations has increased significantly within the study area, with the area under rubber plantations increasing from 30–74% of the total area within five decades. Impact assessment of land-use changes based on household surveys showed significant improvement in socio-economic conditions of the farmers however at the expense of severe environmental degradation. Our results also indicate that while areas under rubber plantations continue to increase, the drivers of land use changes have changed over time. Furthermore, it has been observed that in the past many interventions prioritized social and economic development and placed less emphasis on the ecological stability of the region. Perceptions of farmers revealed that the effects of ecological fragility already affected the economic robustness of the whole area. Therefore, we conclude that government interventions to support additional rubber cultivation should also focus on ecosystem stabilization in order to minimize the risk of an ecological catastrophe that would significantly affect the economic prosperity of the region.