Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …

Current hyperspectral image classification assumes that a predefined classification system
is closed and complete, and there are no unknown or novel classes in the unseen data …

Land cover monitoring using remotely sensed data requires robust classification methods
which allow for the accurate map** of complex land cover and land use categories …

A Random Forest (RF) classifier was applied to spectral as well as mono-and multi-seasonal
textural features extracted from Landsat TM imagery to increase the accuracy of land cover …

Crop classification of homogeneous landscapes and phenology is a common requirement to
estimate land cover map**, monitoring, and land use categories accurately. In recent …

The importance of accurate and timely information describing the nature and extent of land
resources and changes over time is increasing, especially in rapidly growing metropolitan …

Land-cover map** in complex farming area is a difficult task because of the complex
pattern of vegetation and rugged mountains with fast-flowing rivers, and it requires a method …

Several decades of intensive dry land farming in the Gadarif region, located in the Eastern
part of Sudan, has led to rapid land use/land cover (LULC) changes mainly due to …

This paper describes a methodology to obtain a land cover dataset for a selected
Subcarpathian area from Prahova County, Romania. It proposes a combined Remote …

There have been incredible changes that have taken place in the land use pattern globally
over the last 50 years, which resulted from environmental degradation and climate change …