The aim of this paper is to compute a more accurate orthometric height of Mount Kilimanjaro by utilizing the current most precise geoid model for Tanzania, TZG08, together with the 1999 and 2008 GPS campaigns ellipsoidal heights using GPS levelling method.

The result of the GPS levelling using TZG08 gravimetric geoid model and the Kil_1999 and KILI2008 GPS ellipsoidal heights is that the orthometric height of Mount Kilimanjaro is 5,894.94m. Therefore the orthometric height of Mount Kilimanjaro is practically the same as the 1952 official height of 5,895m. 

The practice of food security assessment in Tanzania is based on use of food crops production data surveys of a preceding seasonal year with agro-meteorological analyses based on estimated vegetation status as reflected from NDVI computed from NOAA satellite images.  Food security assessment essentially is a prediction of food availability in predefined future time framework. It helps to establish availability or deficiency of food, thereby facilitating planning and implementation of strategies to mitigate the problem of hunger.

The concept in this paper builds upon basic principles of sustainability to address the problem of how a sustainable project must contribute to economic and social welfare without depleting natural resources, destroying the environment or harming human health.. With this understanding, a systems approach was used in a study that conceptualised a paradigm shift in project management system for sustainability incorporating Environmental Impact Assessment (EIA), Cause-effect Chain and the Socio-economic Resource models.

An Ordinance to consolidate and amend the Law relating to Land Survey and Licensing of Land Surveyors to amend the Penal Code, and for matters incidental thereto and connected therewith. 

An Act to provide for land surveys and licensing of land surveyors

The urban transition that has emerged over the past quarter century poses new challenges for mapping land cover/land use change (LCLUC). The growing archives of imagery from various earth-observing satellites have stimulated the development of innovative methods for change detection in long-term time series. We tested two different multi-temporal remote sensing datasets and techniques for mapping the urban transition.

In the context of sustainable urban development, the application of selected indicators integrated with scenario simulation and analysis can contribute to evidence-based decision making. This paper discusses the application of land use modelling and opportunity mapping approaches to evaluate regional development scenarios for the Greater Dublin Region in the period to 2026 evolving from research initially developed with the Dublin Regional Authority.

The National Geomatics Center of China (NGCC) produced Global Land Cover (GlobalLand30) maps with 30 m spatial resolution for the years 2000 and 2009–2010, responding to the need for harmonized, accurate, and high-resolution global land cover data. This study aims to assess the mapping accuracy of the land surface water layer of GlobalLand30 for 2009–2010. A representative Mediterranean region, situated in Greece, is considered as the case study area, with 2009 as the reference year.

Miombo woodlands in Southern Africa are experiencing accelerated changes due to natural and anthropogenic disturbances. In order to formulate sustainable woodland management strategies in the Miombo ecosystem, timely and up-to-date land cover information is required. Recent advances in remote sensing technology have improved land cover mapping in tropical evergreen ecosystems. However, woodland cover mapping remains a challenge in the Miombo ecosystem.

This research was carried out in a dense tropical forest region with the objective of improving the biomass estimates by a combination of ALOS-2 SAR, Landsat 8 optical, and field plots data. Using forest inventory based biomass data, the performance of different parameters from the two sensors was evaluated. The regression analysis with the biomass data showed that the backscatter from forest object (σ°forest) obtained from the SAR data was more sensitive to the biomass than HV polarization, SAR textures, and maximum NDVI parameters.

In this Special Issue on “Agent-Based Modelling and Landscape Change” we aimed to bring together articles that showcase innovative uses of agent-based models (ABMs) for investigating and explaining landscape change and dynamics.[...]

Brazil’s Cerrado is a highly diverse ecosystem and it provides critical habitat for many species. Cerrado habitats have suffered significant degradation and decline over the past decades due to expansion of cash crops and livestock farming across South America. Approximately 1,800,000 km2 of the Cerrado remain in Brazil, but detailed maps and conservation assessments of the Cerrado are lacking. We developed a land cover classification for the Cerrado, focusing on the state of Mato Grosso do Sul, which may also be used to map critical habitat for endangered species.