Remote sensing and crop production models: present trends
| Autor: | Martine Guerif, Stephan J. Maas, R. Delecolle, Frédéric Baret |
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| Přispěvatelé: | Unité de bioclimatologie, Institut National de la Recherche Agronomique (INRA), ProdInra, Migration |
| Rok vydání: | 1992 |
| Předmět: |
2. Zero hunger
State variable Forcing (recursion theory) 010504 meteorology & atmospheric sciences Computer science [SDV]Life Sciences [q-bio] 04 agricultural and veterinary sciences 15. Life on land RAYONNEMENT PAR 01 natural sciences Atomic and Molecular Physics and Optics Computer Science Applications [SDV] Life Sciences [q-bio] Crop production Remote sensing (archaeology) 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Computers in Earth Sciences Scale (map) INDICE FOLIAIRE Engineering (miscellaneous) ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | ISPRS Journal of Photogrammetry and Remote Sensing ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 1992, 47 (2-3), pp.145-161 5. International Colloquium 5. International Colloquium, Jan 1991, Courchevel 1850, France |
| ISSN: | 0924-2716 |
| DOI: | 10.1016/0924-2716(92)90030-d |
| Popis: | The use of remote sensing as a tool for estimating crop production on a regional scale has been suggested for quite a while. Since the use of remotely sensed information to directly estimate crop production is questionable (primarily due to the indirect link between remotely sensed data and crop state variables), crop models may be used as a companion tool to remote sensing. Various types of crop models (statistical, deterministic, semi-empirical) are described, and specific methods (forcing, recalibration, statistical correction) are described for introducing remotely sensed information into models. The appropriance of combining different model types and sources of remotely sensed information, problems related to time scales, and the need for robust and independent phenological routines are also discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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