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Wyszukujesz frazę "land monitoring" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Application of satellite remote sensing in investigation of environment in Poland
Autorzy:
Ciołkosz, Andrzej
Białousz, Stanisław
Powiązania:
https://bibliotekanauki.pl/articles/703300.pdf
Data publikacji:
2008
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Remote Sensing Centre
land use
image maps
NDVI
yield forecast
monitoring of Baltic
Opis:
The Remote Sensing Centre has been set up within the Institute of Geodesy and Cartography shortly after launching the first environmental satellite. The main task of the Centre was to use satellite images in research of environment. The Landsat images have been used by the Centre to elaborate the first maps of land use in Poland. Satellite images have also been used to assess the forest damage in Sudety Mountains, elaboration of the satellite maps, assess of the air pollution in the country and elaboration of the soil data bases for Poland. Satellite images acquired in microwaves have been used to map a flood extent in Odra River Valley and to estimate damage caused by the flood. The most diverse application satellite images found in agriculture. They were used for assessment of the stage of crop development, crop yield and production of the cereals in Poland. Several other scientific institutes have also used satellite images in their investigation. One of them was the Institute of Oceanology. It has used satellite images for the Baltic ecosystem monitoring.
Źródło:
Nauka; 2008, 3
1231-8515
Pojawia się w:
Nauka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Opracowanie maski obszarów leśnych w celu monitoringu kondycji zdrowotnej lasów w Polsce na podstawie wieloletnich obserwacji satelitarnych
Development of forest cover mask to monitor the health condition of forests in Poland using long-term satellite observations
Autorzy:
Bartold, M.
Powiązania:
https://bibliotekanauki.pl/articles/1294000.pdf
Data publikacji:
2016
Wydawca:
Instytut Badawczy Leśnictwa
Tematy:
lesnictwo
Polska
lasy
stan zdrowotny lasu
monitoring
obserwacje satelitarne
program CORINE Land Cover
pokrycie terenu
Znormalizowany Wskaznik Wegetacji
baza CORINE Land Cover 2012
CORINE Land Cover 2012
forest condition
NDVI
satellite images
vegetation mapping
Opis:
The work presented here aims at developing cover mask for monitoring forest health in Poland using remote sensing data. The main objective was to assess the impact of using the mask on forest condition monitoring combined with vegetation indices obtained from long-term satellite data. In this study, a new mask developed from the CORINE Land Cover 2012 (CLC2012) database is presented and its one-kilometer pixel size matched to low-resolution data derived from SPOT VEGETATION satellite registrations. For vegetation mapping, only pixels with a cover ≥50% of broad-leaved and mixed forests defined by CLC2012 were taken into account. The masked pixels were used to evaluate spatial variability in eight Natural-Forest Regions (NFRs). The largest coverages by masked forests were obtained in Sudetian (65.7%), Carpathian (65.9%) and Baltic (51.3%) regions. For other forest regions the coverage was observed to be around 30–50%. Time-series of the Normalized Difference Vegetation Index (NDVI) comprising SPOT VEGETATION images from 1998 until 2014 were computed and cross-comparison analyses on ≥50% and <50% forest cover masks brought up frequent differences at a level higher than 0.05 NDVI in seven out of eight NFRs. An exception is the Sudetian region, where the data was highly consistent. Furthermore, the Mann-Whitney U non-parametric test revealed statistically significant differences in two regions: Baltic and Masurian-Podlasie NFR. The comparative analysis of NDVI confirmed that there is a need for additional investigation of the quality of newly developed forest mask combined with vegetation and meteorological data.
Źródło:
Leśne Prace Badawcze; 2016, 77, 2
1732-9442
2082-8926
Pojawia się w:
Leśne Prace Badawcze
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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