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Optimized soil adjusted vegetation index mapping of Pune district using Google Earth Engine.

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Názov: Optimized soil adjusted vegetation index mapping of Pune district using Google Earth Engine.
Autori: Paul, Nobin Chandra1 (AUTHOR) nobin.paul@icar.gov.in, Ponnaganti, Navyasree1 (AUTHOR), Gaikwad, Bhaskar Bharat1 (AUTHOR), Sammi Reddy, K.1 (AUTHOR), Nangare, Dhananjay D.1 (AUTHOR)
Zdroj: Remote Sensing Letters. Jul2025, Vol. 16 Issue 7, p728-736. 9p.
Predmety: *MODIS (Spectroradiometer), *MIXED-use developments, *VEGETATION mapping, *VEGETATION patterns, *VEGETATION dynamics, *DROUGHT management
Abstrakt: This article explores the application of the Optimized Soil Adjusted Vegetation Index (OSAVI) in mapping the vegetation cover of Pune District using Google Earth Engine. The map has been generated using Google Earth Engine from Moderate Resolution Imaging Spectroradiometer (MODIS) products (MOD13Q1) over a 23-year period (2000–2022) at spatial and temporal resolutions of 250 m and 16 days, respectively. By incorporating the soil-brightness correction factor, this index enhances the accuracy of vegetation assessments, particularly in regions with low vegetative cover or mixed land use. In the OSAVI map of Pune district, the values range from −0.048 to 0.455, where negative values indicate non-vegetated surfaces and higher values, observed in tehsils like Mulshi, Velhe, Maval and Bhor, suggest dense and healthy vegetation. Validation of the map was carried out using high-resolution Google Earth images. This validation process showcased the effectiveness of the generated map in accurately identifying vegetation patterns within the Pune district. The alignment of the map's results with the patterns observed in the Google Earth images solidifies its accuracy and reliability. The generated map can be a valuable tool for assessing crop health, detecting abiotic stress indicators, monitoring agricultural drought and studying vegetation dynamics in arid and semi-arid regions.. [ABSTRACT FROM AUTHOR]
Databáza: Academic Search Index
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  Data: Optimized soil adjusted vegetation index mapping of Pune district using Google Earth Engine.
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– Name: Abstract
  Label: Abstract
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  Data: This article explores the application of the Optimized Soil Adjusted Vegetation Index (OSAVI) in mapping the vegetation cover of Pune District using Google Earth Engine. The map has been generated using Google Earth Engine from Moderate Resolution Imaging Spectroradiometer (MODIS) products (MOD13Q1) over a 23-year period (2000–2022) at spatial and temporal resolutions of 250 m and 16 days, respectively. By incorporating the soil-brightness correction factor, this index enhances the accuracy of vegetation assessments, particularly in regions with low vegetative cover or mixed land use. In the OSAVI map of Pune district, the values range from −0.048 to 0.455, where negative values indicate non-vegetated surfaces and higher values, observed in tehsils like Mulshi, Velhe, Maval and Bhor, suggest dense and healthy vegetation. Validation of the map was carried out using high-resolution Google Earth images. This validation process showcased the effectiveness of the generated map in accurately identifying vegetation patterns within the Pune district. The alignment of the map's results with the patterns observed in the Google Earth images solidifies its accuracy and reliability. The generated map can be a valuable tool for assessing crop health, detecting abiotic stress indicators, monitoring agricultural drought and studying vegetation dynamics in arid and semi-arid regions.. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/2150704X.2025.2502176
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 728
    Subjects:
      – SubjectFull: MODIS (Spectroradiometer)
        Type: general
      – SubjectFull: MIXED-use developments
        Type: general
      – SubjectFull: VEGETATION mapping
        Type: general
      – SubjectFull: VEGETATION patterns
        Type: general
      – SubjectFull: VEGETATION dynamics
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      – SubjectFull: DROUGHT management
        Type: general
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      – TitleFull: Optimized soil adjusted vegetation index mapping of Pune district using Google Earth Engine.
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          Name:
            NameFull: Paul, Nobin Chandra
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            NameFull: Ponnaganti, Navyasree
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            NameFull: Gaikwad, Bhaskar Bharat
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            NameFull: Sammi Reddy, K.
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            NameFull: Nangare, Dhananjay D.
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            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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