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...

Land degradation is a major danger which restricting different areas of Iran. Systematic description of the environmentfor detection of environmental changes and the human-related causes and responses is essential in land cover changestudy. Use of land cover data allow detection of where certain changes occur, what type of change, as well as how theland is changing. Existing systems for classif...

nowadays, occurrence of mass movement in the northern forests ofiran, especially in the golestan province is turning to be a usual phenomenon. because of decay of vegetation cover, prediction of landslide occurrence will prevent its damages. landslide hazard zonation is a suitable way in this case. selection of the best model is a way to decrease costs and time. consequently, land slide hazard ...

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...

Land cover classification using remotely sensed data is a critical first step in large-scale environmental monitoring, resource management and regional planning. The classification task is made difficult by severe atmospheric scattering and absorption, seasonal variation, spatial dependence, complex surface dynamics and geometries, and large intra-class variability. Most of the recent research ...

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 use may be regarded as one of the most important factors affecting theenvironment with respect to human activities. so far, destroying the rangelands andchanging them into the waste lands and poor rangelands has been proposed as the mostsignificant variations of land use done by human beings. this paper has been conducted toevaluate the variations of vegetation percentage and land uses in ...

many investigations have demonstrated that arid regions display ideal conditions for remote sensing applications such as, land cover/land use detection. the aim of this study was to evaluate the capability of thematic mapper (tm) thermal band in land cover/land use mapping in the ardakan region of yazd province, an area of desert with severe salinity conditions, and the mook region in the f...

The Wisconsin Initiative for Statewide Cooperation on Landscape Analysis and Data (WISCLAND) is a consortium of government and private organizations formed in 1993 to promote development of digital geographic data for the state. The initial focus of the consortium was to acquire funding and resources to develop a land cover classification. That effort has now been completed statewide. This docu...