Accurate and consistent information on forest area and forest area change is important given the reporting requirements for countries to access results based payments for REDD+ . Forest area change estimates usually provide data on the extent of human activity resulting in emissions (e.g. from deforestation) or removals (e.g. from afforestation), also called activity data (AD). A basic methodological approach to estimate greenhouse gas emissions and removals (IPCC, 2003), is to multiply AD with a coefficient that quantifies emissions per unit ‘activity’ (e.g.

Space agencies, international and national organisations and institutions recognize the importance of regularly updated and homogenized land cover information, in the context of both nomenclature and spatial resolution. Moreover, ensuring credibility to the users through validated products with transparent procedures is similarly of great importance. To this end, this study contributes with a systematic accuracy performance evaluation of continental and global land cover layers. Confidence levels during validation and a weighted accuracy assessment were designed and applied.

Uttaran (www.uttaran.net) is a local organisation (Bangladesh) working with vulnerable landowners i.e. women, widow, indigenous, minority and landless people to promote access to land. Uttaran is implementing a project titled, Sustainable Access to Land Equality-SALE' with support of European Union. SALE is the civil society component of overall access to land project that is lead by Department of Land Records and Surveys (DLRS) and Ministry of Land in Bangladesh.

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 need for accurate carbon budgeting, climate change modelling, and sustainable resource management has lead to an increase in the number of large area forest monitoring programs. Large area forest monitoring programs often utilize field and remotely sensed data sources. Sampling, via field or photo plots, enables the collection of data with the desired level of categorical detail in a timely and efficient manner. When sampling, the aim is to collect representative detailed data enabling the statistical reporting upon the characteristics of larger areas.

The Brazilian tropical savanna (Cerrado), encompassing more than 204 million hectares in the central part of the country, is the second richest biome in Brazil in terms of biodiversity and presents high land use pressure. The objective of this study was to map the land cover of the Cerrado biome based on the segmentation and visual interpretation of 170 Landsat Enhanced Thematic Mapper Plus satellite scenes acquired in 2002. The following land cover classes were discriminated: grasslands, shrublands, forestlands, croplands, pasturelands, reforestations, urban areas, and mining areas.

In this study, land cover maps of Bozcaada district were developed using Landsat satellite images obtained in 2006, 2007 and 2008. In addition to original images (6 band Landsat TM), the new images constituted with image processing techniques were also used. A total of ten images were formed by supervised classification method using principal component analysis (PCA), normalized difference vegetation index (NDVI), and tasseled cap (TC) transformation methods.

The study aimed to analyze the performance indicators of self-sustainability, taking into account their potential for production in irrigated areas located in the basin Baixo Acaraú and Curu. The survey is a survey of information available on the perimeters studied by merging the existing bibliographies and materials with statistical data available. We evaluated its performance through the analysis of indicator values for the year 2008, starting at data provided by DNOCS, and the association of irrigation districts of the perimeters.

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.

In this study,land cover data were digitized on topographical maps(1954,1984 and 2001).Land cover data were analyzed using ArcGIS and Fragstats programs.

Bu çalışmada, araştırma alanına ait 1954,1984 ve 2001 yılı topoğrafik haritaları üzerindeki arazi örtüsü verileri sayısallaştırılmıştır.

The Uganda National Land Policy (NLP) Implementation Action Plan is a deliberate resolution by the Government of Uganda to address major challenges that have hindered the implementation of land reforms, thereby impeding the optimal utilisation of land for socio-economic development and transformation. Although successive post-independence governments have made numerous efforts to streamline land governance and reconfigure the role of land in national development, the majority of these efforts have failed to address underlying issues and have thus remained unimplemented to date.

This paper describes the start of a data sharing process to develop a consolidated community cropland map, which was initiated through a recent workshop on characterizing and validating global agricultural land cover. Participants from different organizations around the world were asked to contribute their various cropland maps prior to the workshop. Other data such as geo-tagged photos, in-situ data, classified satellite images and videos also were provided as part of this process. The data are now available online at agriculture.geo-wiki.org.