Crop yield estimation by satellite remote sensing
| Autor: | Gábor Timár, Gy. Tarcsai, Balázs Székely, János Lichtenberger, Dániel Hamar, Péter Bognár, I. Ferencz-Árkos, Gábor Molnár, Sz Pásztor, Cs. Ferencz, Péter Steinbach, Orsolya E. Ferencz |
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| Rok vydání: | 2004 |
| Předmět: | |
| Zdroj: | International Journal of Remote Sensing. 25:4113-4149 |
| ISSN: | 1366-5901 0143-1161 |
| Popis: | Two methods for estimating the yield of different crops in Hungary from satellite remote sensing data are presented. The steps of preprocessing the remote sensing data (for geometric, radiometric, atmospheric and cloud scattering correction) are described. In the first method developed for field level estimation, reference crop fields were selected by using Landsat Thematic Mapper (TM) data for classification. A new vegetation index (General Yield Unified Reference Index (GYURI)) was deduced using a fitted double-Gaussian curve to the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) data during the vegetation period. The correlation between GYURI and the field level yield data for corn for three years was R 2=0.75. The county-average yield data showed higher correlation (R 2=0.93). A significant distortion from the model gave information of the possible stress of the field. The second method presented uses only NOAA AVHRR and officially reported count... |
| Databáze: | OpenAIRE |
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