This paper aims to evaluate the performance of a hydrological model by using satellite
image classification (SIM) to extract land use (LU) information. Four methods, namely naive …

Apart from the earmarked Ramsar sites along the coastal zones of Ghana, no inventory has
been conducted to determine the location, distribution, and status of wetlands within any of …

Nowadays measuring national and regional development primarily relies on demographic
and socio-economic indicators. An indicator in physical dimension eg, areas of human …

Association rule is one of the most important rules in nature. Each type of object in a
remotely sensed image relates to special association rules, thus association rules are …

Artificial intelligence and machine learning applications in image processing are examined
in this chapter. It covers AI methods including supervised, unsupervised, reinforcement, and …

The distribution of leafless and full-canopy trees in fall is essential in understanding the
phenological and morphological characteristics of forests and those are critical baseline …

The increasing deforestation rate in the tropical peat landscape is impacting the
sustainability of the peat ecosystem. Previous studies have monitored the deforestation on …

Development of advanced technology has increased the size of data and has also created
different categories of data. Classifying these different categories of data is the need of the …

Satellite images are important to analyse the various objects and quantity of resource
availability in different areas. It also useful to define the Land Use and Land Cover (LULC) …

The purpose of the study was to investigate what relationship existed between first-year
undergraduate students' perceived general self-efficacy and adaptation to the learning …