Texture-based informal settlement (IS) mapping has gained attention in urban remote
sensing (RS) research. Numerous studies conducted on the use of texture analysis for IS …

Accurate and reliable informal settlement maps are fundamental decision-making tools for
planning, and for expediting informed management of cities. However, extraction of spatial …

The complexity of urban areas makes it difficult for single-source remotely sensed data to
meet all urban application requirements. Airborne light detection and ranging (lidar) can …

Accurate area statistics at the local government level are important for the scientific
management of urban forests. A more consistent and robust mapping of urban forests can …

In this study statics-based textural analysis GLCM (Grey Level Co-occurrence Matrix) of high
resolution L band SAR data from ALOS-2 of JAXA has been used to discriminate between …

Slums are one of the urban problems that continue to get the attention of the government
and the city of Yogyakarta. Over time, cities continue to experience changes in land use due …

The diversity of informal settlement morphologies across locales makes their mapping
inherently challenging in heterogeneous urban landscapes. The aim of this study was to …

High spatial resolution images have been increasingly used for urban land-use
classification, but high spectral variations within same land use, the spectral confusion …

Identification of type of leafless trees using both fall imagery and field-based surveys is a
global concern in the forest science community. Few studies were devoted to separate …

This paper investigates the using of Gray Level Co-Occurrence Matrix (GLCM) based on
supervised texture segmentation. In most texture segmentation methods, the processing …