How to create Level-I, Level-II, and Level-III Land Use Land Cover(LULC) map using ArcGis.

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  • Опубліковано 7 січ 2025

КОМЕНТАРІ • 15

  • @yisraelphilips9920
    @yisraelphilips9920 Рік тому

    Fantastic Sir, helped a lot.

  • @mithun9670
    @mithun9670 2 роки тому

    Excellent sir ❤

  • @ariviakesumaputeri4552
    @ariviakesumaputeri4552 Рік тому

    hallo, can I use landsat imageries to use this step? and what is the composite for each band for that? thanks

    • @RemoteSensingGISHome
      @RemoteSensingGISHome  Рік тому

      Yes, you can use Landsat imagery to create Level-I, Level-II, and Level-III Land Use Land Cover (LULC) maps using ArcGIS. The Landsat series of satellites provide valuable multispectral data that can be used for land cover classification and mapping.
      To create LULC maps, you typically perform a supervised or unsupervised classification on Landsat imagery to assign different land cover classes to each pixel. The classification process involves grouping similar pixel values based on spectral characteristics across different bands.
      Here are the composite band combinations commonly used for Landsat imagery:
      Natural Color Composite (Level-I): Band combination 4 (Red), Band 3 (Green), Band 2 (Blue). This combination provides a true-color representation of the landscape where vegetation appears green, water bodies appear blue, and urban areas and bare soil appear in different shades of gray or brown.
      False Color Composite (Level-II): Band combination 5 (NIR), Band 4 (Red), Band 3 (Green). This combination enhances the visualization of vegetation, where healthy vegetation appears as bright red, and vegetation stress or non-vegetated areas appear as darker tones.
      Agriculture Composite (Level-III): Band combination 6 (SWIR 1), Band 5 (NIR), Band 2 (Blue). This combination is useful for agricultural applications as it emphasizes crop health, where healthy vegetation appears in shades of green, while stressed or non-vegetated areas appear in shades of yellow or brown.

  • @deshpande7307
    @deshpande7307 2 роки тому

    Can such lulc data be exported in TerrSet for future prediction of lulc?

  • @suniltewari2046
    @suniltewari2046 3 роки тому

    Thanks bro...

  • @ajaykumar-bv7tw
    @ajaykumar-bv7tw 2 роки тому

    pl share dataset used for this video on drive so that i can practice for the same ..very nice video

    • @RemoteSensingGISHome
      @RemoteSensingGISHome  2 роки тому

      Which kind of data you need please mention it.In this tutorial I am using three types of data.

  • @smurfk7678
    @smurfk7678 3 роки тому

    I want geological map. Which satellite is best and which band will be used for geology?
    Can you please make a video for geological map?

    • @RemoteSensingGISHome
      @RemoteSensingGISHome  3 роки тому

      Presently Sentinel-2 is best in multi spectal image. But we can use hyperspectarl data for better understanding. You can use ASTER data,NIR,SWIR,and thermal bands more useful in geological study.

  • @mohamadzakibinmohammadazam2917
    @mohamadzakibinmohammadazam2917 2 роки тому

    Hello sir, i have a question. Which technique or method is suitable in GIS to land use? Bcoz im now doing my thesis. Hope you can answer my question. Greeting from Malaysia :)

  • @ajaykumar-bv7tw
    @ajaykumar-bv7tw 2 роки тому

    pl suggest some tools of deep learning on GIS dataset

    • @RemoteSensingGISHome
      @RemoteSensingGISHome  2 роки тому

      If you using arc map or ArcGIS i want to suggest you spatial analysis,geostastical, data management, hydrology, spatial interpolation, and overlay analysis tool.

  • @shanupanchal6351
    @shanupanchal6351 11 місяців тому

    This is not gona work this is only for small areas kuch bhi btaya 😡😡😡