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    Wyświetlanie 1-4 z 4
    Tytuł:
    Use of high spatial resolution satellite data for monitoring and characterization of drought conditions in the Northwestern Algeria
    Autorzy:
    Abbes, M.
    Hammed, A.
    Lafrid, A.
    Mahi, H.
    Nehal, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/89204.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Wrocławska. Wydział Geoinżynierii, Górnictwa i Geologii. Instytut Górnictwa
    Tematy:
    drought
    Northwestern Algeria
    SPI
    NDVI
    linear regression
    satellite imagery
    Opis:
    Over the last decades, Algeria has witnessed intense and persistent drought periods characterized by a significant rainfall deficit. The Northwestern Algeria, such as the most south Mediterranean regions, is marked by alternating wet and dry periods and mixing between Atlantic and Mediterranean airs. In a climate context increasingly disturbed by anthropogenic activities, it is essential to analyze the dry episodes at spatial and temporal scales. In order to understand this problem, this work aims to use the potential of Landsat satellite imagery for monitoring drought conditions in the Cheliff watershed in the northwestern Algeria. As known, the behavior of vegetation is strongly related to climate changes. On this basis, a comparison of the variations in the standardized normalized difference vegetation index (NDVI) and those of the drought indices calculated from meteorological data was implemented. In fact, the rainfall series from fifty meteorological stations were analyzed. The standardized precipitation index (SPI) was calculated for the years 1987, 2000, 2006, 2011 and 2015, corresponding to the acquisition dates of Landsat images. Similarly, an extraction of the NDVI values was performed for each meteorological station. The linear regression between SPI and NDVI showed a good correlation. Thus, the obtained results enabled establishing a new drought index based essentially on satellite data. This index represents the advantage for monitoring spatially the drought phenomena and can solve the problem of climatic data lack.
    Źródło:
    Mining Science; 2018, 25; 71-99
    2300-9586
    2353-5423
    Pojawia się w:
    Mining Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environment using Spectral Data and Gis Tools
    Autorzy:
    Grzywna, H.
    Dąbek, P. B.
    Olszewska, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/123280.pdf
    Data publikacji:
    2018
    Wydawca:
    Polskie Towarzystwo Inżynierii Ekologicznej
    Tematy:
    drought
    soil moisture
    NDVI
    Sentinel-2
    satellite data
    remote sensing
    Opis:
    The studies on agricultural droughts require long-term atmospheric, hydrological and meteorological data. On the other hand, today, the possibilities of using spectral data in environmental studies are indicated. The development of remote sensing techniques, increasing the spectral and spatial resolution of data allows using remote sensing data in the study of water content in the environment. The paper presents the results of the analysis of moisture content of soil-plant environment in the lowland areas of river valley using the spectral data from Sentinel-2. The analyses were conducted between February and November 2016. The spectral data were used to calculate the Normalize Differential Vegetation Index (NDVI) which provided the information about the moisture content of the soil-plant environment. The analyses were performed only on grasslands, on 22 objects located in the research area in the Oder river valley between Malczyce and Brzeg Dolny, Poland. The NDVI values were correlated with the hydrological and meteorological parameters. The analyses showed spatial and temporal variability of the moisture conditions in the soil-plant environment showed by the NDVI variability and existence some relationships between the climatic and spectral indices characterizing the moisture content in the environment.
    Źródło:
    Journal of Ecological Engineering; 2018, 19, 6; 56-64
    2299-8993
    Pojawia się w:
    Journal of Ecological Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Modelling causality between agricultural and meteorological drought indices in the Corong River basin, East Java Indonesia
    Autorzy:
    Affandy, Nur A.
    Iranata, Data
    Anwar, Nadjadji
    Maulana, Mahendra A.
    Prastyo, Dedy D.
    Jaelani, Lalu M.
    Suryadi, F. X.
    Powiązania:
    https://bibliotekanauki.pl/articles/28411634.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Technologiczno-Przyrodniczy
    Tematy:
    drought
    river basin
    standard normalisation difference vegetation index
    NDVI
    standardised precipitation evapotranspiration index
    SPEI
    time series regression
    Opis:
    The Lamongan Regency is an area in East Java, Indonesia, which often experiences drought, especially in the south. The Corong River basin is located in the southern part of Lamongan, which supplies the irrigation area of the Gondang Reservoir. Drought monitoring in the Corong River basin is very important to ensure the sustainability of the agricultural regions. This study aims to analyse the causal relationship between meteorological and agricultural drought indices represented by standardised precipitation evapotranspiration index (SPEI) and standard normalisation difference vegetation index (NDVI), using time series regression. The correlation between NDVI and SPEI lag 4 has the largest correlation test results between NDVI and SPEI lag, which is 0.41. This suggests that the previous four months of meteorological drought impacted the current agricultural drought. A time series regression model strengthens the results, which show a causal relationship between NDVI and SPEI lag. According to the NDVI-SPEI-1 lag 4 time series model, NDVI was influenced by NDVI in the previous 12 periods, and SPEI-1 in the last four periods had a determinant coefficient value of 0.4. This shows that the causal model between SPEI-1 and NDVI shows a fairly strong relationship for drought management in agricultural areas (irrigated areas) and is considered a reliable and effective tool in determining the severity and duration of drought in the study area.
    Źródło:
    Journal of Water and Land Development; 2023, 58; 178--188
    1429-7426
    2083-4535
    Pojawia się w:
    Journal of Water and Land Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wpływ susz na wskaźniki teledetekcyjne grądu wysokiego i boru mieszanego w Lesie Młochowskim - analiza zobrazowań satelitarnych Sentinel-2 lasów objętych ochroną ścisłą oraz gospodarczych w latach 2017-2021
    The influence of drought on remote sensing indicators of hornbeam and mixed coniferous forest in the Mlochowski Forest - analysis of Sentinel-2 satellite images of protected and economic forests in 2017-2021
    Autorzy:
    Kotlarz, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/2136480.pdf
    Data publikacji:
    2021
    Wydawca:
    Instytut Badawczy Leśnictwa
    Tematy:
    susza
    grad wysoki
    bor mieszany
    teledetekcja
    Znormalizowany Wskaznik Wegetacji
    znormalizowany roznicowy wskaznik wody
    wskaznik NDWI zob.znormalizowany roznicowy wskaznik wody
    wskaznik wilgotnosci MSI
    satelita Sentinel-2
    drought
    NDVI
    NDWI
    MSI
    Sentinel-2
    oak-hornbeam forest
    mixed coniferous forest
    Opis:
    The purpose of this paper was to describe processes that took place in the Łowicz-Błonia plain during the long-term drought of 2018 and the series of short-term droughts in 2019. For our analysis we used multispectral satellite images of high- ground hornbeam and mixed coniferous forest in the Młochowski Forest from 2017–2021. Sentinel-2 images provided the means to investigate the impact of mild droughts on the values of the NDVI (Normalized Difference Vegetation Index), NDWI (Normalized Difference Water Index), and MSI (Moisture Stress Index) as well as their monthly variability and differences between forest divisions. During periods without drought, the variability of all three indices was typical for each phase of the vegetation cycle: in the spring months the value of NDVI and MSI increased, NDWI decreased. During the autumn months, the behavior of the indicators reversed. In the period of long-term drought in 2018, the NDWI was higher in forest divisions with aspecies composition characteristic of a mixed coniferous forest compared to divisions with a higher share of deciduous trees such as oaks and hornbeams, including the rigorously protected area of high–hornbeam forest. NDWI was the only index to show a downward trend during mild droughts, while during moderate droughts, also a decrease in NDVI and MSI was observed. This was most clearly seen in deciduous forests. We did not observed any correlation of NDVI, NDWI, or MSI with the protection status of the forest or the absence thereof
    Źródło:
    Leśne Prace Badawcze; 2021, 82, 3; 87-100
    1732-9442
    2082-8926
    Pojawia się w:
    Leśne Prace Badawcze
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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