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Wyszukujesz frazę "zdjecia satelitarne" wg kryterium: Temat

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    Wyświetlanie 1-11 z 11
    Tytuł:
    Zdjęcia satelitarne Landsat-Thematic Mapper w ocenie stanu lasu
    Kosmicheskie snimki so sputnika Lehndsat TM dlja ocenki sostojanija lesov
    Landsat TM satellite data for forest quality assessment
    Autorzy:
    Zawila-Niedzwiedzki, T.
    Powiązania:
    https://bibliotekanauki.pl/articles/813103.pdf
    Data publikacji:
    1989
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    lesnictwo
    lasy
    stan lasu
    metody oceny
    zdjecia satelitarne
    satelita Landsat TM
    Źródło:
    Sylwan; 1989, 133, 07
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wykorzystanie zdjec satelitarnych NOAA-AVHRR do wspomagania oceny zagrozenia pozarowego lasu
    Autorzy:
    Karlikowski, T
    Dabrowska-Zielinska, K.
    Zawila-Niedzwiecka, T.
    Gruszczynska, M.
    Santorski, Z.
    Sakowska, H.
    Janowska, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/53285.pdf
    Data publikacji:
    1997
    Wydawca:
    Instytut Badawczy Leśnictwa
    Tematy:
    zdjecia satelitarne
    wykorzystanie
    zdjecia NOAA-AVHRR
    zagrozenie pozarowe
    lasy
    teledetekcja satelitarna
    ochrona lasu
    lesnictwo
    ochrona przeciwpozarowa
    Źródło:
    Prace Instytutu Badawczego Leśnictwa. Seria A; 1997, 829; 1-72
    0369-9870
    Pojawia się w:
    Prace Instytutu Badawczego Leśnictwa. Seria A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zdjecia satelitarne Landsat TM w ocenie gradacji brudnicy mniszki
    Autorzy:
    Baniya, N.
    Zawila-Niedzwiecki, T.
    Majunke, C.
    Hauswirth, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/45615.pdf
    Data publikacji:
    2006
    Wydawca:
    Instytut Badawczy Leśnictwa
    Tematy:
    zdjecia satelitarne
    satelita Landsat TM
    Lymantria monacha
    szkodniki roslin
    ochrona roslin
    wykorzystanie
    brudnica mniszka
    monitoring
    lesnictwo
    gradacja
    Źródło:
    Leśne Prace Badawcze; 2006, 3; 33-44
    1732-9442
    2082-8926
    Pojawia się w:
    Leśne Prace Badawcze
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wykorzystanie metod geostatystycznych do klasyfikacji ekosystemów leśnych przy użyciu technik satelitarnych
    Use of geostatistical methods for classification of forest ecosystems using satellite imagery
    Autorzy:
    Zawadzki, J.
    Ciszewski, C.J.
    Zasada, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1023493.pdf
    Data publikacji:
    2004
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    zdjecia satelitarne
    klasyfikacja
    interpretacja
    lasy
    teledetekcja satelitarna
    semiwariancja
    lesnictwo
    metody geostatystyczne
    remote sensing
    textural classification
    geostatistics
    spatial information
    semivariance
    semivariogram
    Opis:
    The role of textural information can be essential when analyzing remote images of forest ecosystems. Geostatistically based methods that use textural information are widely used in image processing. The role of geostatistical methods in analyzing remote sensing images of forest areas increased rapidly during the last several years following advancements in high−resolution remote−sensor technology. The results of numerous applications of geostatistical methods for processing remotely sensed forest images are very encouraging. This paper summarizes the geostatistical methods for remote sensing classification of forest ecosystems.
    Źródło:
    Sylwan; 2004, 148, 02; 36-51
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Określanie lesistości Polesia Ukraińskiego na podstawie wyników klasyfikacji sezonowych obrazów kompozytowych Landsat 8 OLI
    Estimation of forest cover in Ukrainian Polissia using classification of seasonal composite Landsat 8 OLI images
    Autorzy:
    Lakyda, P.
    Myroniuk, V.
    Bilous, A.
    Boiko, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/979663.pdf
    Data publikacji:
    2019
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    lesnictwo
    Ukraina
    Polesie
    lesistosc
    teledetekcja
    zdjecia satelitarne
    satelita Landsat 8 OLI
    forest cover
    remote sensing
    random forest
    ikonos−2
    ndvi
    Opis:
    Training dataset for modelling of forest cover was created after classification of multispectral satel− lite imagery IKONOS−2 with spatial resolution 3.2 m (acquisition date – 12.08.2011). As a result, we created binary forest cover map with 2 categories: ‘forest’ and ‘not−forest’. That allowed us to compute the tree canopy cover for each pixel of Landsat 8 OLI, using vector grid with cell size of 30×30 m. Classification model was developed using training dataset that included 17,000 observations, 10,000 of them represented results of IKONOS−2 classification. Aiming to avoid errors of agricultural lands inclusion into forest mask because of lack of data, additionally we collected about 7000 random observations with canopy cover 0% that had been evenly distributed within unforested area. Random Forest (RF) model we developed allowed us to create continuous map of forests within study area that represents in each pixel value of tree canopy closeness (0−100%). To convert it into a discrete map, we recoded all values less than 30% as ‘no data’ and values from 30 to 100% as 1. Forest mask for two selected administrative districts of Chernihiv region (NE Ukraine) was created after screening map from small pixel groups that covered area less than 0.5 ha. Obtained results were compared with Global Forest Change (GFC) map and proved that GFC data can be used for forest mapping with tree canopy closeness threshold 40%. On considerable areas of abandoned agricultural lands in the analysed regions of Ukraine, forest stands are formed by Scots pine, silver birch, black alder and aspen. Existence of such forests substantially increases (on 6−8%) the forested area of Gorodnya and Snovsk districts of Chernihiv region – comparing to official forest inventory data. However, such stands are not protected and have high risks to be severed by wildfires, illegal cuttings with aim to renew the agricultural production, by diseases, insects and other natural disturbances.
    Źródło:
    Sylwan; 2019, 163, 09; 754-764
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Semiwariancje tekstury obrazów satelitarnych Landsat TM obszarów leśnych
    Semivariances of Landsat TM satellite imagery texture of forested areas
    Autorzy:
    Zawadzki, J.
    Cieszewski, C.J.
    Zasada, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/972817.pdf
    Data publikacji:
    2003
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    zdjecia satelitarne
    tereny lesne
    interpretacja
    teledetekcja satelitarna
    semiwariancja
    Landsat TM
    lesnictwo
    semivariance
    semivariogram
    geostatistics
    textural classification
    remote sensing
    Landstat TM
    Opis:
    The paper presents selected applications of the geostatistical methods for remote sensing studies of forest ecosystems. The texture of the remote sensing images of the forests can be highly complex, but at the same time it is very useful for interpretation of these images. We explored differences on semivariances calculated from transects of the Landsat TM images associated with images of young, middle−aged, old, and natural versus planted stands, as well as compared semivariances for loblolly pine (Pinus taeda L.) and longleaf pine (Pinus palustris Mill.) in Georgia, USA. We analyzed the imagery data in conjunction with ground measurements. The results showed that in spite of the relatively low Landsat TM resolution (30m), the semivariances might give useful additional information about the above−mentioned classes. The semivariances for loblolly pine depend on the age as well as on the origin of the forest stand (natural vs. planted). On the other hand, because of the low−resolution, the classical parameters of a range of semi−variances are rather difficult for classification. However, we found important differences for sill values as well as for semivariance values for the distances of a few lags. These parameters seem to be useful for forest stand discrimination. Significant differences were also found between semivariances calculated from loblolly pine and longleaf pine stands.
    Źródło:
    Sylwan; 2003, 147, 07; 40-52
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Określenie rozdzielczości przestrzennej wielospektralnych zdjęć satelitarnych optymalnej do detekcji martwych drzew na obszarach leśnych
    Determining the spatial resolution of multispectral satellite images optimal to detect dead trees in forest areas
    Autorzy:
    Pluto-Kossakowska, J.
    Osińska-Skotak, K.
    Stereńczak, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/989024.pdf
    Data publikacji:
    2017
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    lesnictwo
    teledetekcja
    lasy
    Beskid Zywiecki
    Nadlesnictwo Ujsoly
    tereny lesne
    drzewa martwe
    detekcja
    zdjecia satelitarne
    zdjecia wielospektralne
    rozdzielczosc przestrzenna
    vhr image
    vegetation index
    multispectral analysis
    image classification
    Opis:
    The mainstream of remotely sensed methodology for identifying the tree stand condition is based on spectral responses registered by a multispectral sensor as a digital image. The changes in spectral properties are caused by dying leaves, needles or whole trees. In further steps, the relationship between the spectral values (radiometry) registered in a multispectral satellite image and the health condition of trees should be determined. The most frequent situation includes the one whem dying stand (sensu single tree) occupies the area of <5 m². Therefore the remotely sensed data for determining sanitary conditions of trees must be of a very high spatial resolution (e.g. WorldView2 or 3, GeoEye−1, Pleiades) on one hand and at the same time favourable for the vegetation studies, i.e. utilizing suitable spectral bands and be of low acquisition cost (e.g. RapidEye, LANDSAT−7, ETM +, LANDSAT−8 OLI). Thus a compromise between spatial and spectral resolution should be found to answer the question at what resolution it is possible to clearly separate the damaged tree. The scope of the research included testing of selected methods of satellite image processing and analysis in terms of defining the optimal spatial resolution, which was performed on simulated images obtained for the area of the Beskidy Mountains (S Poland). Pixel size on simulated images was downgraded to the size corresponding to the currently functioning satellite systems. Consequently the obtained material for comparison was free from influence of external factors such as the differences in: time and weather conditions, the geometry of satellite image acquisition, light at the surface of the treetops and phenological vegetation. For each image we used vegetation indices (NDVI and GDVI) and supervised classification. These tests and the obtained results allowed to draw conclusions about the optimal satellite image resolution that can be used to detect damaged or dead stands.
    Źródło:
    Sylwan; 2017, 161, 05; 395-404
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Ocena zasięgu gradacji owadzich na podstawie zdjęć satelitarnych
    Autorzy:
    Zawiła-Niedźwiecki, T.
    Wiśniewska, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/1023788.pdf
    Data publikacji:
    2004
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    zdjecia satelitarne
    defoliacja
    zasieg gradacji
    owady
    szkodniki roslin
    metody badan
    lasy
    teledetekcja satelitarna
    ochrona lasu
    lesnictwo
    gradacja
    satellite remote sensing
    insect outbreak
    Opis:
    The paper focuses on the use of Landsat−Thematic Mapper satellite images for assessing the extent of sawfly (Diprionidae) feeding in the Kozienicka Forests. The geographic information system used in the study allowed for the integration of the inventory and imagery data, as well as image processing, photoin−terpretation, classification and spatial analyses.
    Źródło:
    Sylwan; 2004, 148, 03; 40-50
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zastosowanie metod geostatystycznych do wyznaczania cech taksacyjnych i parametrów biofizycznych lasów technikami teledetekcyjnymi
    The use of geostatistical methods for remote?sensing based determination of inventory measures and biophysical parameters of forests
    Autorzy:
    Zawadzki, J.
    Cieszewski, C.J.
    Zasada, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1023830.pdf
    Data publikacji:
    2004
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    zdjecia satelitarne
    cechy taksacyjne
    wlasciwosci biofizyczne
    metody badan
    interpretacja
    lasy
    teledetekcja satelitarna
    semiwariogram
    semiwariancja
    lesnictwo
    zdjecia lotnicze
    metody geostatystyczne
    semivariance
    semivariogram
    textural classification
    remote sensing
    landsat tm
    Opis:
    Despite constant advances in geostatistics and its many succesful applications in remote sensing and forestry, it remains a relatively unknown field in Poland. The main aim of this paper is to show applicability of various geostatistical techniques in estimation of inventory measures and biophysical parameters of forests. We show examples of practical applications without going into the complex theoretical bases of the described methods. We also present a wide selection of the most important papers in the subject.
    Źródło:
    Sylwan; 2004, 148, 03; 51-62
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Detekcja posuszu kornikowego z wykorzystaniem zobrazowań BlackBridge na przykładzie drzewostanów Sudetów i Beskidów
    Detection of bark beetle infected trees with BlackBridge image on the example of the Sudety and the Beskidy mountains
    Autorzy:
    Kycko, M.
    Stereńczak, K.
    Bałazy, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/989357.pdf
    Data publikacji:
    2016
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    lesnictwo
    Beskidy Zachodnie
    Sudety
    lasy gorskie
    drzewostany swierkowe
    drzewa martwe
    posusz
    teledetekcja
    zdjecia satelitarne
    zobrazowania BlackBridge
    blackbridge
    condition of forests
    satellite image classification
    mountain areas
    Opis:
    BlackBridge imagery is one of the new means of information used in forest condition analysis. Rapid Eye satellite data with a 5 m spatial resolution register spectral information from 440 to 850 nm through 5 spectral bands. This range of electromagnetic spectrum provides information on plant chlorophyll content as well as cell structure. Such data allows to monitor vegetation condition. This paper focuses on a research conducted in the Sudety and Western Beskidy mountains (southern Poland). The aim of the research was to verify whether high resolution satellite imagery is applicable in detection of the damages caused by Ips typographus and acid rain in Norway spruce dominated stands through supervised classification. BlackBridge Rapid Eye satellite images from 2012 and 2013 were analysed. Various modifications of classification methods were tested, including change in combination of spectral bands. Each method resulted in different classification accuracy. Best results were observed in case of the Maximum Likelihood classification method applied on all spectral bands. The analysis showed that the time of the image registration has a significant impact on classification results. The average classification accuracy for 2012 images was 0.53, whereas for 2013 – 0.69. Moreover, information gathered from 5 m pixels is too general to classify individual dead trees in a precise manner. Tested methods are applicable only in detection of clusters of dead trees.
    Źródło:
    Sylwan; 2016, 160, 09; 707-719
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Analiza porównawcza wartości wskaźnika wegetacji obszarów leśnych w Polsce na podstawie wieloletnich obserwacji satelitarnych NOAA AVHRR i SPOT VEGETATION
    Comparison of time series of the vegetation index derived from NOAA AVHRR and SPOT VEGETATION satellite observations
    Autorzy:
    Bartold, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/989370.pdf
    Data publikacji:
    2016
    Wydawca:
    Polskie Towarzystwo Leśne
    Tematy:
    lesnictwo
    lasy
    wskazniki wegetacyjne
    monitoring
    obserwacje satelitarne
    satelita NOAA
    satelita SPOT
    zdjecia NOAA-AVHRR
    zdjecia SPOT VGT
    forest monitoring
    vegetation index
    noaa avhrr
    spot vegetation
    Opis:
    The paper aimed at comparison of remotely sensed data for forest areas in Poland. The main objective was to study how time−series of satellite data derived from NOAA AVHRR and SPOT VEGETATION (SPOT VGT) are compatible and can be useful for forest cover monitoring. NOAA AVHRR fifteen−year observations collected by the receiving station mounted at the Institute of Geodesy and Cartography were processed with radiometric, geometric and atmospheric corrections to obtain Normalized Difference Vegetation Index (NDVI) images. Next, daily NDVI images were clustered into ten−day composites and smoothed with Savitzky−Golay filter. The long−term NDVI data derived from SPOT VGT were post−processed in order to prepare reference set to cross−comparison analysis. The study area encompasses forest complexes representative for various climatic conditions: Borecka, Augustów, Knyszyn and Białowieża Forests as well as forests of the Karkonosze and Beskid Żywiecki mountains. The satellite data were analyzed within vegetation period (April−September). The comparison of frequency of cloud−free observations and mean NDVI values over study sites was performed to follow the deviations in two datasets. The Wilcoxon signed−rank test proved that there are statistically significant NDVI differences between NOAA and SPOT data for Augustów, Knyszyn, Białowieża and Karkonosze Forests. On the other hand, NDVI observations for Borecka Forest and Beskid Żywiecki Mts. revealed quite high compatibility. The Spearman rank correlation results proved that NDVI time−series derived from NOAA AVHRR and SPOT VGT are incoherent and depended on test site or year of the observation. The cross−comparison analysis revealed that there is a need for additional investigation into achieving full compatibility of satellite datasets for successful forest cover monitoring.
    Źródło:
    Sylwan; 2016, 160, 02; 153-161
    0039-7660
    Pojawia się w:
    Sylwan
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

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