Tytuł artykułu
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Creation of crop condition assessment system in Poland based on application of NOAA images
Języki publikacji
Abstrakty
W artykule została przedstawiona metodyka utworzenia Systemu Oceny Warunków Wzrostu Roślin w Polsce, bazującego na operacyjnym wykorzystaniu zdjęć satelitarnych NOAA AVHRR. Opisano poszczególne etapy opracowania tego systemu w ramach wspólnego, polsko– kanadyjskiego projektu oraz zaprezentowano pierwsze wyniki jego wykorzystania do monitorowania rozwoju roślin uprawnych w Polsce w okresach wegetacyjnych 1997 i 1998 roku.
The succeeding stages of the works on creating system for crop condition assessment in Poland, based on use of NOAA images, were presented in the article. At first part of this article hardware and software needed for proper functioning of the system was described, as well as the works on software adaptation to Polish conditions were characterised. Next, the consecutive phases of creating crop condition assessment system were presented, namely: collection and processing of historical satellite NOAA images, analysis of archival images, acquisition and processing of NOAA AVHRR satellite data for 1997 and 1998 vegetation periods, preparation of GIS database for making spatial analyses and production of final outputs from the system, i.e. maps, graphs and images, which inform about state of crops in Poland. Results of using the created system for assessment of crop development within 1997 and 1998 vegetation periods were presented in the second part of the article. Detailed analysis of variability of vegetation indices on the whole territory of Poland was done in temporal and regional aspect. Comparative analysis of crop development in 1998, as compared with normal and previous year, was also conducted. It was found among others, that crop growth conditions at first phase of 1998 vegetation period were better than in corresponding phase of normal year for almost all regions of Poland. Results of comparative analysis were presented in the form of sequences of maps, which illustrate changes of vegetation index for particular voivodships within the whole vegetation period.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
101--120
Opis fizyczny
Bibliogr. 15 poz., rys., wykr.
Twórcy
autor
Bibliografia
- [1] Bullock P. R. [1992]: Operational estimates of Western Canada grain production using NOAA AVHRR LAC data. Canadian Journal of Remote Sensing Vol. 18 No. 1.
- [2] Cihlar J., Teillet P. M. [1993]: Forward piecewise linear calibration model for quasi–real time processing of AVHRR data. Canadian Journal of Remote Sensing Vol. 21 No. 1.
- [3] Czajkowski K. P., Mulhern T., Goward S. N., Cihlar J. [1997]: Validation of Geocoding and Compositing System (GEOCOMP) using contextual analysis of AVHRR images. Int. Journal of Remote Sensing Vol. 18 No. 14 p. 3055–3068.
- [4] Dąbrowska–Zielińska K. [1995]: Szacowanie ewapotranspiracji, wilgotno-ści gleby i masy zielonej łąk na podstawie zdjęć satelitarnych NOAA. Prace Geograficzne PAN Nr 165.
- [5] Gruszczyńska M., Dąbrowska–Zielińska K., Stankiewicz K., Janowska M. [1997]: Remote sensing data applied for monitoring of cereals. Proceedings of the 17th EARSeL Symposium on Future Trends of Remote Sensing, Lyngby, Denmark 1997 June 17–19.
- [6] Hochheim K.P., Bullock P.R. [1993]: Operational estimates of Western Canada spring wheat yield using NOAA AVHRR LAC data. Proceedings of the 12th W. T. Pecora Memorial Symposium. Sioux Falls, USA, August 23–26.
- [7] Kerdiles H., Magrin G., Rebella C. M., Seguin B. [1994]: Vegetation monitoring and yield prediction from NOAA AVHRR GAC data in the Argentinian pampa. Proceedings of the Symposium „Multispectral an Microwave Sensing of Forestry, Hydrology and Natural Resources”. Rome, Italy, September 26–30.
- [8] Reichert G. C., Bullock, P. R., Prout N. A., Walker G. K. [1991]: A near real time crop monitoring tool using NOAA LAC AVHRR data. Proceedings of the 14th Canadian Symposium on Remote Sensing. Calgary, Canada May 6–10.
- [9] Saunders R.W., Kriebel T. [1988]: An improved method for detecting clear sky and cloud radiances from AVHRR data. Int. Journal of Remote Sensing Vol. 9 No. 1 p. 123–150.
- [10] Tanré D., Holben B. N., Kaufman Y. J. [1992]: Atmospheric correction algorithm for NOAA AVHRR products: theory and applications. IEEE Transactions on Geoscience and Remote Sensing Vol. 21 No. 1.
- [11] Teillet P. M. [1992]: An algorithm for the radiometric and atmospheric correction of AVHRR data in the solar reflective channels. Remote Sensing of Environment Vol. 41 p. 185–195.
- [12] Teillet P. M., Holben B. N. [1994]: Towards operational radiometric calibration of NOAA AVHRR imagery in the visible and near–infrared channels. Canadian Journal of Remote Sensing Vol. 20 No. 1.
- [13] Walker G. K. [1988]: Model for operational forecasting of Western Canada wheat yield. Agricultural and Forest Meteorology Vol. 44, p. 339-351.
- [14] Wood D. [1993]: The use of multitemporal NDVI measurements from AVHRR data for crop yield estimation and prediction. Int. Journal of Remote Sensing Vol. 14 No. 2 p. 190–210.
- [15] Yang W., Yang L., Merchant J. W. [1997]: An assessment of AVHRR/NDVI ecological relations in Nebraska, U.S.A. Int. Journal of Remote Sensing Vol. 18 No. 10 p. 2161–2180.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-10fc72e6-f8ce-44a1-99e3-d566b879a63e