Pù Mát National Park, Vietnam

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Discover what’s possible.

Get a complimentary consultation today.

Pù Mát National Park, Vietnam

Pù Mát National Park, established in 2001, is a tropical northern coastal region in Vietnam with a rich and diverse ecosystem that is home to many species of wildlife, including fauna, reptiles, birds, amphibians, and mammals. Pù Mát National Park is also home to many endangered species, including:

  • Northern white-cheeked gibbon
  • Owston’s Civet
  • Sunda Pangolin
  • Red-shanked douc
  • Saola
  • Truong Son muntjac
  • Annamite striped rabbit
  • Assam macaque
  • Ussuri dhole
  • Indochinese tiger
  • Indian elephant

Scientists and conservationists are hard at work trying to protect the park from illegal activities such as trapping and poaching as a consequence of the high demand for wildlife trade. Adding to this threat are habitat loss, deforestation, and other factors, causing the accelerated decline of many species. Poaching has escalated in recent years, and in response, new technologies are being employed to aid in the conservation efforts and help the anti-poaching teams on the ground.

Pù Mát National Park is the largest in Vietnam with over 94,000 hectares and has many groups of Northern white-cheeked gibbon primates which are critically endangered and nearly extinct. Other species that are critically endangered are the Owston’s Civet and Sunda Pangolin which are disappearing rapidly. Local NGO’s like Save Vietnam Wildlife working with its government partners have set up Pu Mat National Park as a site of global importance to ensure the protection of these two species.

Remote Sensing and AI for Wildlife Conservation – Pù Mát National Park

Artificial intelligence (AL) and remote sensing when used together, can benefit scientists and conservationists for wildlife monitoring and mapping that has proven to be an effective way to aid in conservation efforts.

Remote sensing, geographic information systems (GIS), and artificial intelligence (AI) can help track, monitor, and analyze wildlife in the most remote areas of protected parks and aids in improving the way endangered wildlife are monitored and protected from illegal activities such as poaching, and deforestation.

AI for wildlife conservation takes advantage of Machine Learning (ML) and Computer Vision (CV) models. Using imagery collected by satellites or unmanned aerial vehicles (UAV) these models can predict behavior and provide near real-time reports of repetitive attacks by poachers that will assist anti-poaching teams in catching the offenders. This state-of-the-art technology enables scientists and conservationists to decrease illegal activities such as attacks on wildlife and natural resources.

Satellite Imaging Corporation (SIC) in collaboration with Aiforgood Asia and Save Vietnam Wildlife (SVW) will be working together in support of the conservation efforts in Pù Mát National Park. Using the latest state of the art technology from these partners will include satellite imagery, GIS data, artificial intelligence, computer vision, and machine learning platforms to ensure the park has the latest up-to-date technology to protect these important species for future generations.

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TESTIMONIALS

Stories & Experiences

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FAQ’S

Frequently Asked Questions

How to find Geographic Coordinates in Google maps?

To find geographic coordinates in Google Maps, you can follow these steps:

  1. Open Google Maps in your web browser or on your mobile device.

  2. Search for the location you want to find the geographic coordinates for by entering the address, landmark, or name of the place in the search bar at the top of the page.

  3. Once the location is displayed on the map, right-click (or long-press on mobile) the exact point on the map where you want to find the coordinates. This will open a small menu.

  4. In the menu that appears, click on “What’s here?” or “What’s here? – Coordinates” option. On mobile devices, you may need to tap on the location marker first to reveal the menu options.

  5. A small information box will appear at the bottom of the screen, displaying the latitude and longitude coordinates of the selected point. The coordinates will be shown in decimal degrees format.

  6. You can click on the coordinates in the information box to expand it and see the coordinates in different formats, such as degrees, minutes, and seconds (DMS) or Universal Transverse Mercator (UTM) format.

To create a KML (Keyhole Markup Language) file in Google Earth, you can follow these steps:

  1. Download Google Earth Pro and Open on your computer.

  2. Navigate to the location or area you want to create a KML file for by using the search bar, zooming in/out, and panning on the map.

  3. Customize the view and layers in Google Earth Pro to include the specific data or elements you want to include in your KML file. This can include placemarks, paths, polygons, overlays, images, and more.

  4. Once you have set up the desired view and layers, go to the “Add” menu at the top of the screen and select the type of element you want to add (e.g., placemark, path, polygon, image overlay).

  5. Follow the prompts to add the specific element and provide the necessary information, such as location coordinates, name, description, and any additional properties or styling options.

  6. Repeat the previous step if you want to add more elements to your KML file.

  7. After adding all the desired elements, go to the “File” menu and select “Save Place As.”

  8. In the “Save Place As” dialog box, choose a location on your computer where you want to save the KML file.

  9. Specify the name of the KML file, ensuring it has the .kml extension (e.g., myfile.kmL), you may need to select KML as GoogleEarth defaults to KMZ formats.

  10.  Click the “Save” button to save the KMZ file to the specified location on your computer.

Ordering commercial high-resolution and medium-resolution satellite maps process:

  1. Identify your requirements: Determine the specific needs for the satellite maps, including the desired resolution, geographic coverage, acquisition date, and any additional specifications such as spectral bands or cloud cover constraints.

  2. Contact Us: Reach out to us to inquire about our imaging product and services. Provide us with the details of your requirements, including the area of interest, resolution, and any other specifications.

  3. If there is high urgency for imagery, please let us know that this is a time sensitive project. Any project deadlines should be included with your initial contact.

  4. Request a quote: Ask for a formal quote for the satellite maps you need. The quote should include information such as the cost, delivery timeline, licensing terms, and any additional services like data processing or analysis.

  5. Review the quote: Evaluate the quote provided by us and if needed, we can negotiate the terms, pricing, or any specific requirements that may not be fully covered.

  6. Confirm the order: Once you are satisfied with the quote and have reached an agreement, confirm your order. We will guide you through the necessary steps for payment and delivery.

  7. Receive the satellite maps: After the order is confirmed and payment is processed, you will receive the satellite map data in the specified format. This may include downloading the data from a secure portal or receiving physical media, depending on delivery method.

  8. Utilize the satellite maps: With the satellite maps that you receive, you can utilize it for your intended purposes, such as GIS data, 3D terrain maps, disaster, geospatial data, and other applications as needed.

Satellite map raw files refer to the unprocessed and unedited data captured by satellite sensors. These files contain the raw data received by the satellite sensors, including the reflected or emitted electromagnetic radiation from the Earth’s surface.

Satellite map raw files typically come in specialized formats specific to each satellite sensor or provider. These formats may include formats like GeoTIFF (georeferenced Tagged Image File Format) or ENVI (Environment for Visualizing Images). The raw files preserve the original sensor readings, which can include various spectral bands, radiometric information, and geometric parameters.

Raw files require processing to convert them into usable formats, such as georeferenced images or digital elevation model(DEM). Processing steps may involve radiometric and geometric corrections, atmospheric compensation, calibration, orthorectification, and mosaicking, among others.

Once processed, raw files can provide valuable information for various GIS data applications, including 3D terrain maps, agriculture production maps, vegetation maps, and disaster maps.

To download satellite maps from an FTP (File Transfer Protocol) server, you can follow these general steps:

  1. Obtain the FTP server information: Get the FTP server details from the satellite maps provider or the source you are accessing. This includes the FTP server address, username, password, and potentially the directory path to the imagery files.

  2. Choose an FTP client: Select an FTP client software or application that allows you to connect to the FTP server and perform file transfers. Some popular options include FileZilla, WinSCP, Cyberduck, or the built-in FTP functionality of certain web browsers.

  3. If you are unable to download an FTP client due to software locks, Windows has a built in FTP Protocol that can be accessed by copying the URL of the FTP server in your Windows File Explorer.

  4. Depending on the method to connect to the FTP, you will need credentials including a Username and Password to access these file.

  5. Most FTP clients will allow you to Copy and Paste or Drag and Drop the files from the client window to your local files.

Remember to comply with any terms and conditions associated with the satellite map data, including usage restrictions, licensing agreements, and any attribution requirements specified by the provider.

For any other questions or for a consultation, please contact us.

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