Code Monkey home page Code Monkey logo

dem_code's Introduction

Welcome to the Earth Engine DEM Code Repository! This repository contains a collection of code snippets and projects specifically related to Digital Elevation Models (DEMs) in Earth Engine. Here, you will find code examples and resources to help you analyze, visualize, and manipulate DEM data using Earth Engine.

Introduction

Digital Elevation Models provide valuable information about the Earth's surface topography. With Earth Engine, you can access and process high-resolution DEM datasets to derive insights and perform various geospatial analyses. Whether you're interested in terrain analysis, hydrological modeling, or slope calculations, Earth Engine's capabilities and computational power can help you achieve your goals.

Repository Structure

This repository is organized into several directories, each focusing on a specific aspect of DEM analysis. Here's a brief overview of the directory structure:

01-data-preparation: This directory contains code snippets and scripts related to data ingestion, preprocessing, and preparation of DEM datasets. It includes tasks such as data fusion, resampling, and data format conversions.

02-visualization: Here, you'll find code examples for visualizing DEMs and derived products. This includes techniques for generating hillshades, contour plots, slope maps, and 3D visualizations.

03-analysis: In this directory, you'll discover code snippets for conducting various analyses on DEM data. It covers tasks like terrain classification, aspect calculation, watershed delineation, and viewshed analysis.

04-modelling: If you're interested in modeling terrain-related phenomena, this directory is for you. It includes code examples for hydrological modeling, flood risk assessment, solar radiation modeling, and other related applications.

05-change-detection: Here, you'll find code snippets for detecting changes in the Earth's surface using DEM differencing techniques. It covers tasks like measuring elevation changes, identifying landforms, and monitoring erosion or deposition.

06-applications: This directory showcases complete projects and applications built using DEM data and Earth Engine. It includes examples such as landslide susceptibility mapping, landform analysis, and glacier monitoring.

Feel free to explore each directory, find the code that interests you, and adapt it to your specific needs. Each directory contains its own README file with more detailed information about the code and examples provided.

Getting Started

To get started with DEM analysis in Earth Engine and the code in this repository, follow these steps:

Install the necessary dependencies, including the Earth Engine Python API and any additional libraries required by the code snippets.

Create a Google Earth Engine account and obtain the necessary credentials to access the Earth Engine API.

Clone or download this repository to your local machine.

Navigate to the directory containing the code you're interested in.

Follow the instructions provided in the README file of that directory to run the code and understand its usage.

Contributions

Contributions to this repository are highly encouraged! If you have any code snippets, scripts, or projects related to DEM analysis in Earth Engine, feel free to submit a pull request. Please ensure that your contributions are well-documented and follow best practices.

License

The code in this repository is provided under the MIT License. Feel free to use, modify, and distribute it as per the terms of the license.

Contact

If you have any questions, suggestions, or feedback, please don't hesitate to contact me. I would be happy to assist you and improve this repository further.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.