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You will learn how to calculate Normalized Difference Water Index (NDWI) from landsat-8 images using ArcGIS Pro in this video. I hope this video will help you to enhance your knowledge in GIS and Remote Sensing even more. To perform landcover and land use change analysis, flood monitoring, flood mapping, NDWI calculation is very essential and this video will help you to do this very easily. Through this video you will easily be able to calculate NDWI using Landsat 8 images in ArcGIS Pro. The Normalized Difference Water Index (NDWI) is a quantitative measure used to assess water bodies and water change in remote sensing applications. NDWI helps to delineate water features in satellite imagery. It can help significantly to monitor flood and extent of flood. It can also help in change analysis. NDWI can also help to estimate turbidity in water bodies as well as help in differentiating between turbid and clear water. Landsat 8 (formerly the Landsat Data Continuity Mission, or LDCM) was launched on an Atlas-V rocket from Vandenberg Air Force Base, California on February 11, 2013. The satellite carries the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) instruments. The OLI measures in the visible, near infrared, and shortwave infrared portions (VNIR, NIR, and SWIR) of the spectrum. The TIRS measures land surface temperature in two thermal bands with a new technology that applies quantum physics to detect heat. Landsat 8 images have 15-meter panchromatic and 30-meter multi-spectral spatial resolutions along a 185 km (115 mi) swath. Landsat 8 provides continuity with the more than 40-year long Landsat land imaging data set. In addition to widespread routine use for land use planning and monitoring on regional to local scales, support of disaster response and evaluations, and water use monitoring, Landsat 8 measurements directly serve NASA research in the focus areas of climate, carbon cycle, ecosystems, water cycle, biogeochemistry, and Earth surface/interior. Unprecedented changes in land cover and use are having profound consequences for weather and climate change, ecosystem function and services, carbon cycling and sequestration, resource management, the national and global economy, human health, and society. Freely available Landsat data provide a unique resource for people who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research. For more videos related to GIS, Remote Sensing, Geo-information Science and Climate change please watch videos of @EARTHGISensing. @EARTHGISensing will help you throughout your journey to learn all the tools and techniques of remote sensing and GIS. Please do not forget to like, comment and subscribe to the channel. #ndwi #howtocalculateNDWI #NDWIArcGISPro #arcgispro #NormalizedDifferenceWaterIndex #landsat8 #NDWIusingLandsat8 #calculateNDWIinArcGISPro #remotesensing