Hydrogeomorphological landforms are the results of enormous hydrologic and geomorphological action across the surface. Hydrogeomorphological categorisation has received a great attention in earth sciences as it has a wide range of application domains, including mapping lithology, predicting soil properties, vegetation mapping, and precision agriculture. Alappuzha district which marks a significantly predominating coastal terrain structure is dominated by the compiled action of hydrology and geomorphology leading to the generation of hydrogeomorphic landforms. A greater understanding of the hydrogeomorphological terrain will enhance the planning structures and future development by reducing the effect of the natural calamities, which is prevalent due to climatic instability. Terrain-based spatial planning and development results in the innovation of sustainable livelihood and reduces the effect of causalities and economic damage. The demarcation of the various hydrogeomorphic landforms of the study area is carried out by the usage of digital elevation model (DEM) and satellite imageries by the application of machine learning algorithms. A general identification of landforms is done by using 3-D terrain morphology which is done using R programming which helps in identifying the various landforms at a glance. High-resolution DEM data of ALOS PALSAR is used for the estimation of topographical position index (TPI) and slope position classification by the application of Jennes Algorithm. The results are used for classifying the hydrogeomorphic landforms by using Sentinel and IRS LISS III satellite imageries. The majority of landform types are thought to be composed of waveform features that display whole recurring cycles of variation in morphological characteristics, including as relief, curvatures, moisture regime, and slope gradient and length. A total of 12 hydrogeomorphic micro-level units have been identified in the study area.