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Agriculture Mapping

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Precision Agriculture Mapping

The Food and Agriculture Organization (FAO) of the United Nations, the world’s population will reach 9.1 billion, 34 percent higher than today’s population, by 2050.  Due to this expected growth, there is pressure worldwide for higher agricultural production and reliable crop status information. 

To achieve these objectives, improved management of the world’s agricultural resources is required, especially in developing countries.

Utilizing high-resolution, multispectral satellite or aerial imagery and Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision (CV) algorithms, image data is collected and transferred into management solutions for crop health and improved production targets.

Vegetation Index Maps

WorldView-2 MS 1.6m Vegetation Index (WV-VI) 20150109

South Africa

WorldView-2 MS 1.6m Google Earth™ KMZ

Maize Pivot / WV-VI Index, (Red High) 1.6m

Micro or Cube satellite constellations can provide daily, weekly or monthly satellite image data to deliver crop health and soil moisture information. The high-frequency satellite solutions provide critical insights to maximize yields and ensure crop health. Satellite imagery is available and very suitable for agriculture applications, thereby giving crop health, maximizing yield, and monitoring services for security, change detection, wildlife conservation, natural disasters, and many other applications.

Suppose you are interested in daily, weekly, monthly, or quarterly satellite imagery only, and vegetation, soil indices are not required. In that case, we can deliver imagery made available through a convenient API link. When vegetation indices on crop health and information of soil moisture conditions, preventing costly waterlogging problems, are required, these indices can be made available for download. Soil water data, vegetation water content, temperatures, and biomass information can be provided by utilizing  Passive Satellite Microwave Sensing Technology, where cloud cover is not a problem.

This data is used in regional ArcGIS / ArcMap, QGIS or CAD management systems, and web portals. The ability of GIS to analyze and visualize agricultural environments and workflows has proven to be very beneficial to those involved in the farming industry.

When agriculture management software is not in place, vegetation and soil index imagery can be reviewed in Google Earth Pro™ for regional farmers to identify areas in the fields, requiring a closer analysis and deciding if additional crop irrigation or fertilization is required.

Xinavane – Mozambique Sugar Cane Plantation

Satellite Imagery 4-Band (RGBN) Spectral Image Data – KMZ

Click image to view animation

Normalized Difference Vegetation Index (NDVI) Scale Used

Background Image: Google Earth – © Google

To download various NDVI samples and save or open the KMZ file in Google Earth Pro™, please click on one of the links below:

Pivot ID-66 / NDVI (WV-VI) 1.6m

Pivot ID-40 / Natural Color 40cm

Pivot ID-40 / Pansharpened NDVI Index 40cm

The agriculture, forestry, and environmental industries are using the standard NDVI index for many years, but with the availability of multipectral sensors and high-resolution satellite sensors such as WorldView-2, WorldView-3, and Pleiades Neo utilizing an expanded multispectral surface reflectance range, SIC can provide a variety of vegetation indices to filter the correct band combinations for vegetation, soil, and environmental analysis to support crop, forest, and environmental project CV or GIS management.

CCCI – Canopy chlorophyll content index
CIRedEdge – Red-edge chlorophyll index
CWSI – Crop water stress index
GNDVI – Green normalized difference vegetative index
LAI – Leaf area index
MRESAVI – Modified RESAVI
NDRE – Normalized difference red edge
NDVI – Normalized difference vegetative index
NNI – Nitrogen nutrition index
OMNBR – Optimal multiple narrow-band reflectance index		 OSAVI – Optimized soil-adjusted vegetation index
REDVI – Red-edge difference vegetation index
REIP – Red-edge inflation point
RERDVI – Red-edge renormalized difference vegetation index
RERVI – Red-edge ration vegetation index
RESAVI – Red-edge soil-adjusted vegetation index
RVI – Ration vegetation index
SAVI – Soil-adjusted vegetation index
TCARI – Transformed chlorophyll absorption reflection index
WVVI – WorldView Improved Vegetation Index / Many more…..

The vegation indices listed above and soil moisture/water indices, and custom made indices can be utilized in AI/ML algorithms assigned to the customer maximizing crop health and yield.

For more information on how SIC can assist, please Contact Us.

Managed Canopy Assessment

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Vegetation and Soil Index Maps

Green Vegetation

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Soil Zone

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Tree Grading/ Plant Counting

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Industries

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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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