BACKGROUND The changes in land use and land cover have a strong effect on the total soil organic carbon, its fractions and its overall soil health. This study carried out in Olesharo Catchment, Kenya, was to quantify the differences in total organic carbon (TOC), particulate organic carbon (POC), mineral organic carbon (MOC) and carbon management index (CMI) among four land use types: grassland...

A number of national, regional and global land cover classification systems have been developed to meet specific user requirements for land cover mapping exercises, independent of scale, nomenclature and quality. However, this variety of land-cover classification systems limits the compatibility and comparability of land cover data. Furthermore, the current lack of interoperability between diff...

Land cover classification is the most important element of land cover mapping and is a key input to many societal benefits. Traditional classification methods require a large amount of remotely sensed images, which are time consuming and labour intensive. Recently, crowdsourcing geographic information (CGI), including geo-tagged photos and other sources, has been widely used with lower costs, b...

Global land cover data are fundamental for applications, especially ecological environmental assessment and climate change research. Currently available global land cover data products show some deficiencies in data accuracy and spatial and temporal resolution. So we discuss fast automatic classification methods for the study area in Antarctica. A classification method based on a Support vector...

Land-ownership patterns in rural areas are undergoing changes. To explore the critical question of how changing land ownership in a watershed potentially drives land use, we examined differences in individual landowners’ reasons for owning drylands. We conducted a mail survey of 767 landowners in three counties of central Texas, USA. Using exploratory factor analysis we reduced motivations into...

Problem statement: It is an important task to detect land cover changes from remotely sensed data for environmental monitoring. Although there are some applications of visual textures to the land use, they are limited to a few land cover categories with the application of one texture measure. Since land cover types are complex and often the integration of various objects, applying one texture m...

Land cover data constitutes highly useful information to monitor the extension and status of land resources, hence it has been realized how important it is to have accurate land cover data. Here, an interactive WebGIS is built in order to validate GlobeLand30 global land cover data. The Game with a Purpose (GWAP) human-based computation technique is adopted. The system is based on crowdsourcing...

MERIS on Envisat delivers imaging spectroscopy data at 300m spatial resolution. MERIS has demonstrated its great potential for regional and global land cover mapping. This paper illustrates that the combination of the spatial, spectral, and temporal dimensions of MERIS has, in addition, the potential to retrieve sub-pixel land cover composition. Three MERIS FR Level 1b scenes acquired over The ...