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  • Land use change detection along the Pravara River basin in Maharashtra, using remote sensing and GIS techniques
    71-86
    Views:
    61

    In the past few decades there has been an increasing pressure of population all over the world,
    especially in India, resulting in the utilization of every available patch of available land from
    woodlands to badlands. The study area represents a basin which is economically growing fast by
    converting the fallow lands, badlands and woodlands to agricultural land for the past few decades.
    IRS (Indian Remote sensing Satellites) 1 C – LISS III and IRS 1 C PAN and IRS P6 – LISS III and
    IRS 1 D PAN Images were merged to generate imageries with resolution matching to the landscape
    processes operating in the area. The images of the year 1997, 2000, 2004 and 2007 were analyzed to
    detect the changes in the landuse and landcover in the past ten years. The analysis reveals that there
    has been 20% increase in the agricultural area over the past ten years. Built up area also has increased
    from 1.35% to 6.36% of the area and dense vegetation also has marginally increased. The remarkable
    increase in the agricultural area occurs owing to the reclaim of the natural ravines and fallow lands.
    Presently the area looks promising, but it is necessary to understand the sedimentological and
    geomorphological characteristics of the area before massive invasion on any such landscapes because
    the benefit may be short lived.

  • Sentinel-2 satellite-based analysis of bark beetle damage in Sopron Mountains, Hungary
    33-40
    Views:
    18

    Sopron mountains were affected by bark beetle (Ips typographus) damage between 2017 and 2020, which was surveyed on high-resolution ESA Sentinel-2 satellite images for the period 2017 and 2020 using Mosaic Hub, Anaconda, and Jupyter Notebook web-based computing environments. Biotic forest damage was detected based on vegetation (NDVI) and moisture (MSI, NDWI) indices derived from satellite images. The spatial and temporal change of damage was observed in the image series, resulting in information about the level of degradation and regeneration. In pursuance of GIS processing, 84 forest compartments were compared, which showed in most of the cases (97%) negative interannual change in the index mean values (MSI = - 0.14, NDWI = - 0.2, NDVI= - 0.19) when years compared to each other. The remote sensing-based survey was marked out and validated based on the forest database of the Hungarian Division of Forest of National Land Centre and forest protection damage reports of the Hungarian National Forest Damage Registration System.

  • Is desertification a problem in Hungary?
    242-247
    Views:
    203

    The term of “desertification” refers to a land degradation processes of arid, semiarid and sub-humid
    areas. Although the concept originates from Sub-Saharan Africa, desertification threatens also the area
    of Hungary. The greatest desertification risk is in the central part of the country, in the Danube-Tisza
    Interfluve where drought has always been a huge problem for the local society. Aridification processes
    are mainly due to climate change. Temperature increase and precipitation decrease as well as the increase
    of the frequency and amplitude of extreme events contribute to the acceleration of desertification risk.
    Severe or moderate droughts occur in Hungary nearly every year. Drought frequency has increased,
    primarily in the last decades. Main findings of several research projects of MEDALUS II and III EU
    Framework projects (experiments on the effects of climate change on vegetation, soils and ground water
    level) are summarized in the paper.