The first set of the land laws were enacted in 2012 in line with the timelines outlined in the Constitution of Kenya 2010. In keeping with the spirit of the constitution, the Land Act, Land Registration Act and the national Land Commission Act respond to the requirements of Articles 60, 61, 62, 67 & 68 of the Constitution. The National Land Policy, which was passed as Sessional Paper No. 3 of 2009, arrived earlier than the Constitution, with some radical proposals on the land Management.

The application of computer technology in land administration is touted as one way of ensuring efficient and transparent land administration. Although this true, one major concern is not only how to create a computerized land information system that is interoperable across different government departments responsible for different land administration functions, but also how to ensure interoperability between national and devolved levels of government departments responsible for land administration.

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.

Here we propose an accurate and robust method for large-area land-use and land-cover (LULC) mapping using multi-temporal optical data. The conventional method for LULC classification usually uses time-series data at regular intervals to consider the seasonality of LULC. However, high-resolution optical data have considerable seasonal biases, making it difficult to use time-series data.

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.

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.

Population growth in cities along with migration from rural areas dramatically increases the Land Use and Land Cover (LULC) changes. This study was conducted in Çanakkale province consisting of central part and its vicinities where rapid population growth and development have been taken place. This study aimed to determine LULC changes using remotely sensed data and geographical information system (GIS) techniques between 1987 and 2010.

The Landsat TM/ETM images obtained in 2000, 2006 and 2010 were used to generate Land Use and Land Cover (LULC)maps of Canakkale province including forest,grassland,agriculture,water and residential area bare soil classes.

Çalışmada 2000, 2006 ve 2010 yıllarında alınan Landsat TM/ETM uydu görüntüleri kullanılarak Çanakkale ilinin orman, mera, tarım, su, yerleşim çıplak alan sınıflarını içeren Arazi Kullanım ve Bitki Örtüsü (AKBÖ) haritaları yapılmıştır.

Over the years, PINGOs Forum has been concerned with the future of Pastoral and HunterGatherer communities with regard to changing patterns of traditional land use and livelihoods options. The information gathered from the past studies have risen much concern on the side of PINGOs Forum that perhaps climate change may have a serious bearing in the land use patterns and livelihoods of Pastoralists and Hunter-gatherers. As a result of this concern, PINGOs Forum decided to embark on a study to observe changes that have occurred in land use patterns in recent years.