Modelling Spatial-Temporal Change of High Altitude Lake (HAL) Using Earth Observational Data: A Case Study of Nani Lake of Uttarakhand

In this research, we estimate the probability of the utilisation of multi-temporal remote sensing (RS) satellite data for monitoring the spatial-temporal change (from year 1995 to 2021) in Nani high altitude lake (HAL) of Uttarakhand. Twenty-seven years of pre and post-monsoon RS satellite data (total 54 images of Landsat-5, 7, & 8) are taken under this study. For mapping of water body (or Lake), the Normalized difference water index (NDWI) is used in present research. The outcome of present work showed that the earth observational data can be utilized to capture the real coverage of water in water body (or study area Nani Lake).The major findings under present research work is NDWI may a good option to monitoring any HAL. NDWI based collected information reveals that the Nani lake water holding capacities reduce in the last 3 decades but in small dimension. This invitation to an upcoming trouble, i.e. the holding capability of the water body is reducing in slow pattern. Therefore, the outcome of this research will very useful in the management of resources and the conservation of high-altitude Nani Lake. The outcomes result also indicates that NDWI-based surface water change detection and monitor system can be developed for any remote water body.