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Flood Risk ManagementRemote Sensing and Artificial Intelligence for Wildlife Conservation

Remote Sensing

Satellite, aerial and UAV remote sensing technology can support scientists and conservationists to identify, track, monitor, and access wildlife in the most remote areas around the world, including marine habitats. Satellite remote sensing technology has benefited wildlife conservation efforts by utilizing these technologies to protect National Parks and aid in improving the way endangered wildlife are being monitored in their natural environments. Satellite imagery, GPS, and GIS technologies offer advantages to see what is happening on the ground and in wildlife habitats by using temporal comparisons of multispectral satellite imagery and GIS data to detect wildlife habitats in need of protection and conservation. Multispectral satellite imagery produced from satellite sensors such as the WorldView-3 can provide 30cm panchromatic, 1.20-meter 8-band multispectral, and 3.7-m short wave infrared (SWIR) resolution to help detect sensitive areas with precise details.

WorldView-3 Satellite Image (30cm)

Wildlife Monitoring, Caribou Herd Migration – North Slope of Alaska

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Copyright © MAXAR/Processed by Satellite Imaging Corporation. All rights reserved.

Satellite images allow scientists and conservationists to estimate patterns and rates of deforestation in and around protected areas using multispectral band combinations to produce satellite maps for the various vegetation indices. Vegetation indices such as Normalized Difference Vegetation Index (NDVI), SAVI, RESAVI, and green vegetation index maps are detailed images that give an absolute measure of the amount of vegetation present in wildlife habitats. These maps show the integrated result of environmental, physical, and natural factors affecting wildlife habitats. With calibrated data, you can routinely and quantitatively assess species count, status, and variation across habitats.

Satellite images, GIS, and global positioning systems (GPS) are being deployed to collect data for integration, analysis, modeling, and satellite map production for wildlife migration, habitat mapping, and conservation activities. With the use of GPS tracking collars and camera traps, wildlife researchers, and conservationists can collect baseline data, daily movements, and behavioral data that can provide critical information on the location of species by satellite, aerial, or UAV imagery.

Satellite sensors have been used for wildlife and marine surveys by detecting changes related to habitat including fecal count, removal of food, burrow mounts, and habitat destruction. Worldview-3 and Pleaides Neo with resolutions of 30cm can provide panchromatic and 1.2m 8 or 6 bands multispectral satellite imagery to support wildlife conservation and collect accurate and precise data of many endangered species.

WorldView-2 2m 8-Band Multispectral Satellite Imagery

United Arab Emirates – Wildlife Conservation – Marine Habitat – Dugong Detection and Identification

Copyright © MAXAR/Processed by Satellite Imaging Corporation. All rights reserved

Artificial Intelligence (AI) and Machine Learning (ML)

The latest innovation to aid in protecting and conserving the national parks has been from the utilization of Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision (CV) for wildlife conservation. AI for wildlife conservation takes advantage of Machine Learning and Computer Vision models. Using imagery collected by satellites or unmanned aerial vehicles (UAV) 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.

AI applications are a great alternative to manual data collection, camera-trap imagery, or recording audio that can lead to days or even months of exhausting work. Using browser-based tools, programming libraries, and neural networks, AI augments conservation efforts by helping scientists and conservationists to detect and monitor wildlife by using satellite images and data to help identify a particular species that can be closely monitored to help protect the fauna and flora in national parks worldwide.

Species are critically declining and facing extinction due to agriculture, climate change, construction, wildfires, droughts, exploitation, and exotic collections. Habitats from forests to our oceans, grasslands,deserts, and wetlands are experiencing decay, and destruction from human activity, and climate change. With the technology of satellite remote sensing, GPS, GIS, and unnmaned aerial vehicles (UAV) researchers and conservationists have the capability to monitor and manage wildlife and their habitats to support conservation.

Wildlife Conservation Presentation

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Copyright © MAXAR/Processed by Satellite Imaging Corporation. All rights reserved

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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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