Hello folks! I am trying to use the Lyzenga Algorithm for estimating the depth of water in shallower areas, probably depths under 8-10 meters of lakes. First of all, how accurate is this algorithm in practice? Secondly, lets say i have the band values. can someone explain me how to retrieve those depths? I am following the "Lyzenga Algorithm for Shallow Water Mapping Using Multispectral Sentinel-2 Imageries in Gili Noko Waters" paper, but there are 3 steps of getting NDWIs, NDCIs and after filtering the Sun Glint Correction, then it finally comes to the depth calculating. it end ups in a formula of following: 𝑧 = 28.32 ∗ 𝑋1 − 36.25 ∗ 𝑋2 + 9.42 ∗ 𝑋3 + 16.35 x1 , x2, x3 are RGB values respectively. What do you guys think? can i just apply this formula ? if not, what is the purpose of all the previous steps, and will they change the rgb values anyways?

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Understanding GIS Mapping GIS Mapping is a technology and process used to capture, store, analyze, manage, and visualize geographic or spatial data. It combines geographical information such as locations and terrain features, with various types of data like environmental, social, economic, and demographic information, to create detailed and layered maps. These maps are powerful tools for understanding and interpreting spatial relationships, patterns, and trends.   Components of GIS Mapping Key components of GIS mapping include:   1. Hardware. The hardware is the tangible aspect of GIS mapping technology. This includes computers, GPS devices, drones, and other equipment used to collect, process, and analyze geographic data.   2. Software. GIS mapping provides a platform for creating maps, conducting spatial analyses, and sharing geographic information.   3. Data. Spatial data is the core of GIS mapping. It encompasses information about specific locations, attributes, and relationships. This data can come from various sources, such as satellite imagery, surveys, government databases, or user-generated content.   4. People. Skilled individuals, such as GIS analysts, cartographers, geographers, and geospatial scientists, are essential for using GIS technology effectively. They design, develop, and apply GIS solutions to address specific problems or research questions.   GIS mapping allows users to perform a wide range of spatial analyses like measuring distances, determining optimal routes, assessing environmental changes, and identifying patterns within data. Therefore, it has a significant impact on humanitarian assistance and disaster preparedness and response. Now, what does this transformative impact look like?   How GIS Mapping Transforms Humanitarian Assistance It Enhances Disaster Response When disasters strike (and they usually do), whether they take the form of a natural catastrophe or a man-made crisis, every second counts. Key decision-makers therefore need adequate data and spatial information to respond proactively. This is where GIS mapping technology shines. Real-time data on the location and extent of a disaster, along with intricate details about affected areas and population distribution, enable aid agencies to make well-informed decisions, coordinate efforts, and manage resources effectively. Crucially, the ability to visualize and analyze information on a map empowers responders to prioritize their actions based on the most pressing needs. This ultimately saves lives.   GIS Technology Helps Map Vulnerable Populations In humanitarian work, the overarching goal is to help those who are most in need. Humanitarian assistance, therefore, relies heavily on the ability to identify and map ‘vulnerable’ populations. This is where GIS technologies play a crucial role. 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