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  1. Article ; Online: Measuring the control of landscape modifications on surface temperature in India

    Lal, Preet / Dubey, Aditya Kumar / Kumar, Amit / Kumar, Pankaj / Dwivedi, C. S.

    Geocarto International. 2022 Dec. 13, v. 37, no. 27 p.15736-15753

    2022  

    Abstract: This study highlights the land use/land cover change, and its implications on the long-term changes in various hydrometeorological parameters in India during 2001–2018. The study exhibited a decrease in grassland (15.1%), barren land (10.2%), and ... ...

    Abstract This study highlights the land use/land cover change, and its implications on the long-term changes in various hydrometeorological parameters in India during 2001–2018. The study exhibited a decrease in grassland (15.1%), barren land (10.2%), and shrubland (9.5%) in contrast to an increase in deciduous broadleaf forest cover (27.4%) and croplands (25.2%) in India. The study exhibited 31.7% of the geographical area observed a low warming (<0.8 °C), in contrast to 52.1% of the area observed a low cooling (> −0.8 °C) in India over the observation period. The transformation of (a) barren land to shrubland and cropland (Western India) and (b) cropland, and grassland to forest cover (Central India) led to the cooling effects. While Indo-Gangetic Plain and North-Eastern parts observed warming effects due to greenness and wetness change. The findings highlight the relevance of bio-geophysical and land-climate feedback, which may help in developing integrated and effective climate mitigation and adaptation strategies.
    Keywords climate ; cooling ; cropland ; deciduous forests ; grasslands ; hydrometeorology ; land cover ; land use ; landscapes ; shrublands ; surface temperature ; India ; Indo-Gangetic Plain ; Land surface temperature ; evapotranspiration ; soil moisture ; warming ; landscape modifications
    Language English
    Dates of publication 2022-1213
    Size p. 15736-15753.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ISSN 1752-0762
    DOI 10.1080/10106049.2022.2102224
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Effect of vegetation structure on above ground biomass in tropical deciduous forests of Central India

    Lal, Preet / Kumar, Amit / Saikia, Purabi / Das, Anup / Patnaik, C. / Kumar, Gajendra / Pandey, A. C. / Srivastava, Parul / Dwivedi, C. S / Khan, M. L.

    Geocarto international. 2022 Nov. 2, v. 37, no. 21

    2022  

    Abstract: The study aimed to determine the above-ground biomass (AGB) of tropical deciduous forests in Central India using field-based techniques and spaceborne quad-pol ALOS PALSAR-2 L-band and dual-pol Sentinel 1A C-band synthetic aperture radar (SAR). Field ... ...

    Abstract The study aimed to determine the above-ground biomass (AGB) of tropical deciduous forests in Central India using field-based techniques and spaceborne quad-pol ALOS PALSAR-2 L-band and dual-pol Sentinel 1A C-band synthetic aperture radar (SAR). Field sampling based on 73 forested grids exhibited a diverse forest composition in the Satpura Tiger Reserve (STR) with a total of 54 tree species of which 31.48% species were IUCN Red-Listed. The forests were highly diverse (H′=3.22) with a low concentration of dominance (CD = 0.06) and a quite high species evenness (E = 0.81). The sensitivity and correlation between field-based AGB and SAR backscatter in STR were highest in cross-polarization due to its higher sensitivity to the vegetation structure in both L- and C-band SAR, where L-VH based AGB estimates were found more accurate (RMSE:5.17%). The study provided vital information for setting up strategies for biodiversity conservation, enhancing forest productivity, and restoring wildlife habitats.
    Keywords aboveground biomass ; biodiversity conservation ; forests ; synthetic aperture radar ; trees ; vegetation structure ; wildlife ; India
    Language English
    Dates of publication 2022-1102
    Size p. 6294-6310.
    Publishing place Taylor & Francis
    Document type Article
    ISSN 1752-0762
    DOI 10.1080/10106049.2021.1936213
    Database NAL-Catalogue (AGRICOLA)

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