--- title: Using Deep Block with GIS Software description: Learn ho to seamlessly integrate Deep Block's AI inference capabilities with GIS software like ARCGIS and QGIS for efficient geospatial analysis. image: https://www.deepblock.net/hubfs/gis.jpg --- [![deepblock_logo_full2](https://www.deepblock.net/hubfs/deepblock_logo_full2.png)](https://www.deepblock.net?hsLang=en) ![menu](https://f.hubspotusercontent40.net/hubfs/7479797/menu.png) ![close_24px](https://7479797.fs1.hubspotusercontent-na1.net/hubfs/7479797/close_24px.svg) - [Product](https://www.deepblock.net/product) Show submenu for Product - [Manual](https://www.deepblock.net/product/manual) - [How To Use](https://www.deepblock.net/product/how-to-use-deep-block) - [Pricing](https://www.deepblock.net/product/pricing) - [Remote Sensing](https://www.deepblock.net/remote-sensing) Show submenu for Remote Sensing - [Surveillance & IMINT](https://www.deepblock.net/remote-sensing/defense-surveillance) - [Precision Agriculture](https://www.deepblock.net/remote-sensing/precision-agriculture) - 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Deep Block supports raster images in the GEOTIFF format. Since GEOTIFF files contain geospatial information, any [objects](https://www.deepblock.net/product/manual/object-detection?hsLang=en) or [changes](https://www.deepblock.net/product/manual/change-detection?hsLang=en) detected by Deep Block can be extracted in GEOJSON format. To enhance user convenience, Deep Block offers a feature to export inference results in GEOJSON format. For example, users can export the tree location masks identified by an AI model trained in Deep Block without any coding, and then add these masks as a layer in GIS software without any data processing or conversion. ## Get Started First, we copied a tree segmentation model. ![](https://www.deepblock.net/hs-fs/hubfs/image-png-Sep-17-2024-08-59-29-0724-AM.png?width=1619&height=768&name=image-png-Sep-17-2024-08-59-29-0724-AM.png) Check the following link. [https://app.deepblock.net/deepblock/store/project/plilkjzg1m166cexl](https://app.deepblock.net/deepblock/store/project/plilkjzg1m166cexl) Next, we opened and examined this project. ![](https://www.deepblock.net/hs-fs/hubfs/image-png-Sep-17-2024-09-00-43-3275-AM.png?width=1711&height=795&name=image-png-Sep-17-2024-09-00-43-3275-AM.png) When an AI model is trained with Deep Block and used for inference, as shown, the AI model identifies trees in the images. ## GEOJSON Export To conveniently leverage these inference results in GIS software, we will utilize the GEOJSON mask export feature provided by Deep Block. Since the images are in GEOTIFF format, it is possible to export the AI model's inference results in GEOJSON format. Click the "Download JSON" button. ![](https://www.deepblock.net/hs-fs/hubfs/geojson-jpg.jpeg?width=638&height=374&name=geojson-jpg.jpeg) ![](https://www.deepblock.net/hs-fs/hubfs/click-jpg.jpeg?width=232&height=136&name=click-jpg.jpeg) ## Importing GEOJSON in GIS Software Export Once the download is complete, extract the file and prepare the GEOJSON file corresponding to the raster image. ![](https://www.deepblock.net/hs-fs/hubfs/zip-jpg.jpeg?width=269&height=109&name=zip-jpg.jpeg) To verify the accuracy of the extracted GEOJSON masks, we'll use the QGIS application. Open QGIS, and then prepare the raster image that you analyzed in Deep Block. And import the raster image into QGIS. ![](https://www.deepblock.net/hs-fs/hubfs/image-png-Sep-17-2024-09-11-13-9263-AM.png?width=941&height=489&name=image-png-Sep-17-2024-09-11-13-9263-AM.png) Next, remove any unnecessary Alpha bands. ![](https://www.deepblock.net/hs-fs/hubfs/image-png-Sep-17-2024-09-12-16-5026-AM.png?width=447&height=155&name=image-png-Sep-17-2024-09-12-16-5026-AM.png) ![](https://www.deepblock.net/hs-fs/hubfs/image-png-Sep-17-2024-09-12-50-7156-AM.png?width=816&height=497&name=image-png-Sep-17-2024-09-12-50-7156-AM.png) Now, add the GEOJSON layer on top of the displayed image. ![](https://www.deepblock.net/hs-fs/hubfs/image-png-Sep-17-2024-09-16-31-1226-AM.png?width=907&height=464&name=image-png-Sep-17-2024-09-16-31-1226-AM.png) As you can see, the inference results from the AI model can be seamlessly overlaid onto the GIS application. ![](https://www.deepblock.net/hs-fs/hubfs/image-png-Sep-17-2024-09-16-50-1632-AM.png?width=914&height=483&name=image-png-Sep-17-2024-09-16-50-1632-AM.png) Without the need to write any post-processing code, you can use Deep Block to detect and display changes or objects at any location on Earth. Start analyzing the largest remote sensing images quickly and easily with Deep Block, available for free! Whether you're an environmental scientist looking to track deforestation, an urban planner monitoring city carbon capture, or a researcher studying climate change, Deep Block empowers you to extract meaningful insights from vast datasets without the need for complex coding or data manipulation. Its intuitive interface and powerful AI-driven models allow you to focus on what truly matters: understanding and addressing the world's most pressing issues. Dive into the world of advanced geospatial analysis today and see how Deep Block can transform your projects, enhance your workflows, and drive impactful decisions. Don't miss the opportunity to leverage this cutting-edge tool—get started with Deep Block now and unlock the full potential of your geospatial data! Previous Post ###### [Training AI Models for Tree Detection with Minimal Annotations](https://www.deepblock.net/blog/training-with-few-annotations?hsLang=en) Next Post ###### [Preventing Pine Wilt Disease: Effective Strategies and Innovations](https://www.deepblock.net/blog/preventing-pine-wilt-disease?hsLang=en) ### Similar Blog Posts [![](https://www.deepblock.net/hs-fs/hubfs/AI-Generated%20Media/Images/360%20degree%20panoramic%20image%20with%20extra%20wide%20view.jpeg?width=352&name=360%20degree%20panoramic%20image%20with%20extra%20wide%20view.jpeg)](https://www.deepblock.net/blog/panoramic-image-analysis-with-computer-vision?hsLang=en) #### [Panoramic Image Analysis with Computer Vision](https://www.deepblock.net/blog/panoramic-image-analysis-with-computer-vision?hsLang=en) [![](https://www.deepblock.net/hs-fs/hubfs/Blog%20Components/Deep%20Block_How%20to%20train%20accurate%20AI%20models%20for%20Building%20Segmentation.png?width=352&name=Deep%20Block_How%20to%20train%20accurate%20AI%20models%20for%20Building%20Segmentation.png)](https://www.deepblock.net/blog/building-segmentation?hsLang=en) #### [How to train accurate AI models for Building Segmentation?](https://www.deepblock.net/blog/building-segmentation?hsLang=en) [![](https://www.deepblock.net/hs-fs/hubfs/file%20upload-2.png?width=352&name=file%20upload-2.png)](https://www.deepblock.net/blog/how-to-upload-cocojson-to-train-a-machine-learning-model-in-deep-block?hsLang=en) #### [How to upload COCOJSON to train a machine learning model in Deep Block](https://www.deepblock.net/blog/how-to-upload-cocojson-to-train-a-machine-learning-model-in-deep-block?hsLang=en) [![Deep Block Logo White](https://www.deepblock.net/hubfs/Deep%20Block%20Logo%20White.svg)](https://www.deepblock.net?hsLang=en) Deep Block is a NO CODE AI-powered platform where you can create and use AI models without any of the frustration of coding. 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