Frost risk mapping derived from satellite and surface data over the Bolivian Altiplano
| Autor: | Bernard Seguin, C. François, J.J. Vacher, R. Bosseno |
|---|---|
| Přispěvatelé: | Unité de bioclimatologie, Institut National de la Recherche Agronomique (INRA) |
| Rok vydání: | 1999 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Meteorology IMAGE SATELLITE PRODUCTION AGRICOLE 01 natural sciences STATION DE MESURE [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture forestry Risk mapping Satellite data AGROMETEOROLOGIE RISQUE DE GEL TEMPERATURE CARTOGRAPHIE ComputingMilieux_MISCELLANEOUS Historical record 0105 earth and related environmental sciences Global and Planetary Change Satellite observation TRAITEMENT DE DONNEES POMME DE TERRE PREVISION CLIMATIQUE Forestry 04 agricultural and veterinary sciences SATELLITE METEOROLOGIQUE CLIMAT 13. Climate action Air temperature Frost 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Satellite Agronomy and Crop Science |
| Zdroj: | Agricultural and Forest Meteorology Agricultural and Forest Meteorology, Elsevier Masson, 1999, 95, pp.113-137 |
| ISSN: | 0168-1923 |
| DOI: | 10.1016/s0168-1923(99)00002-7 |
| Popis: | Summer frosts occur frequently on the Bolivian Altiplano (4000 m) and cause severe damage to potato and quinua crops. A regional statistical study of frost risks must combine meteorological data with satellite data. In this work, a new method is developed to use NOAA satellite temperatures together with local minimum air temperature data. This method enables point meteorological data (with important historical records) to be combined with satellite data (spatially extended but with poor temporal coverage). The method involves several stages including a classification of the Altiplano based on the meteorological stations, a calculation of minimum temperatures over the whole Altiplano for several years of data, and finally the computation of minimum temperatures and frost risk percentage maps. The precision obtained in the resulting synthesis images is 0.8°C for the average minimum temperatures and 9% for frost risk maps. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect