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    Wyświetlanie 1-3 z 3
    Tytuł:
    Identyfikacja nieużytków porolnych i odłogów na obrazach satelity TERRA-ASTER
    Identification of fallow fields using TERRA-ASTER data
    Autorzy:
    Piekarczyk, J.
    Królewicz, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/132393.pdf
    Data publikacji:
    2008
    Wydawca:
    Polskie Towarzystwo Geograficzne
    Tematy:
    nieużytki
    odłogi
    obraz satelitarny
    satelita TERRA ASTER
    fallow fields
    satellite image
    TERRA ASTER satellite
    Źródło:
    Teledetekcja Środowiska; 2008, 39; 103-110
    1644-6380
    Pojawia się w:
    Teledetekcja Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Klasyfikacja gleb słonych doliny Czuj w Kirgistanie na podstawie wielospektralnych obrazów satelitarnych Landsat TM, Landsat ETM+, TERRA ASTER oraz danych naziemnych
    Classification of salt-affected soils of the Chuy Valley in Kyrgyzstan using multispectral satellite Landsat TM, Landsat ETM+, TERRA ASTER images and ground-collected data
    Autorzy:
    Kokoeva, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/132209.pdf
    Data publikacji:
    2007
    Wydawca:
    Polskie Towarzystwo Geograficzne
    Tematy:
    gleby słone
    klasyfikacja
    obraz satelitarny
    satelita Landsat
    satelita TERRA ASTER
    dane naziemne
    Kirgistan
    salt-affected soils
    classification
    satellite Landsat
    satellite TERRA ASTER
    satellite image
    ground-collected data
    Kyrgyzstan
    Opis:
    The natural conditions of Kyrgyzstan and consequences of human-induced processes, such as inappropriate methods of irrigation, have led to the extension of salt-affected soils. Extensive areas of irrigated land have been increasingly degraded by salinization from over-irrigation and other forms of inadequate agricultural practices. Between 1985 and 1990, the area of salt-affected soils increased from 666 300 ha to 1170 300 ha (Mamytov, 1995). In recent years salinity processes have been described as one of the problems of agriculture in that area. For the last ten years many none-affected soils of the Chuy Valley have become salinized. According to Mamytov et al. (1991) the total area of salt-affected soils in the Chuy Valley exceeds 259.5 thousands ha, which is more than 42% of the research area. In this research, an attempt has been made to estimate soil salinity quantitatively and also spatially by applying remote sensing techniques. Conventional methods of mapping salt-affected soils consume a lot of energy, time and money. Remote sensing enables us to detect and to map salt-affected soils by using relatively cheap multispectral satellite data such as Landsat TM, Landsat ETM+ and TERRA ASTER. The objective of this study is to identify salt-affected soils by integrating satellite images with ground-collected data. In order to achieve this goal the best algorithms of an unsupervised and a supervised classifi cation have been chosen using TNTmips software. The Normalized Difference Vegetation Index (NDVI) and the Transformed Vegetation Index (TVI) have been applied to distinguish densely and partly vegetation- covered soils, which are not salt-affected. To distinguish areas covered with stone and sands from saline soils the Salinity Index (SI) has been applied. For the differentiation of arable land which is not covered with vegetation the brightness parameter of Tasseled Cap transformation has been used. All these indices were calculated from satellite images. Finding an appropriate interpretation scheme for identifying the saltaffected soils of the Chuy Valley becomes a very important factor infl uencing the accuracy of the supervised classifi cation. The temporal change of salinity accumulation is demonstrated by comparing the classifi cation’s results of the multispectral satellite images from 1994 to those of 2001. This study also includes measurements of spectral properties of collected soil samples for better understanding the difference in classifi cation accuracy of various types of salt-affected soils. Spectral refl ectance was registered from the surfaces of saline and saline-sodic soils using fi eld luminancemeter CIMEL CE 313-21 in the following wavelength bands: 450 nm, 550 nm, 650 nm and 850 nm.
    Źródło:
    Teledetekcja Środowiska; 2007, 37; 3-50
    1644-6380
    Pojawia się w:
    Teledetekcja Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Porównanie wartości NDVI odczytanych z obrazów satelitarnych NOAA AVHRR, SPOT-VEGETATION i TERRA MODIS
    Comparison of NDVI index based on NOAA AVHRR, SPOT-VEGETATION and TERRA MODIS satellite data
    Autorzy:
    Turlej, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/132264.pdf
    Data publikacji:
    2009
    Wydawca:
    Polskie Towarzystwo Geograficzne
    Tematy:
    NOAA
    SPOT
    TERRA
    NDVI
    wskaźniki roślinne
    zdjęcia satelitarne
    rolnictwo
    Wielkopolska
    vegetation index
    satellite images
    agriculture
    Opis:
    Recently in the space there are launched new series of environmental satellites with high time resolution, allowing continuous observations of the Earth’s surface. NOAA series of satellites, launched in 1998 SPOT or TERRA operating since 2000, provide daily data acquisition of large areas. Differences between the construction of instruments and means of processing cause disparity in the received data. This article presents a comparison of NDVI index obtained from these satellites. Compositions used in the ten-day NDVI images made on the basis of NOAA AVHRR images, NDVI compositions performed on the basis of images from SPOT VEGETATION as well as eight-day MODIS TERRA NDVI compositions. Area of the research are agricultural areas of Wielkopolska. NDVI index was measured on 193 polygons with surfaces from 1.5÷68.9 ha during the growing season from 10th to 24th decade of 2006. Another comparison has been made for NDVI values for the region of Wielkopolska in the years 2000÷2008 and the size of yield of wheat.
    Źródło:
    Teledetekcja Środowiska; 2009, 42; 83-88
    1644-6380
    Pojawia się w:
    Teledetekcja Środowiska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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