| Titre | Rice monitoring and production estimation using multitemporal RADARSAT |
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| Auteur | Shao, Y ; Fan, X;
Liu, H; Xiao, J; Ross, S; Brisco, B; Brown, R; Staples, G |
| Source | Remote Sensing of Environment vol. 76, no. 3, 2001 p. 310-325, https://doi.org/10.1016/S0034-4257(00)00212-1 |
| Année | 2001 |
| Séries alt. | Ressources naturelles Canada, Contribution externe 20181516 |
| Éditeur | Elsevier BV |
| Document | publication en série |
| Lang. | anglais |
| DOI | https://doi.org/10.1016/S0034-4257(00)00212-1 |
| Media | papier; en ligne; numérique |
| Formats | pdf |
| Sujets | télédétection; géophysique |
| Programme | GEM2 : La géocartographie de l'énergie et des minéraux |
| Résumé | (disponible en anglais seulement)
Rice monitoring and production estimation has special significance to China, as rice is the staple grain and accounts for 42% of the crop production in this
country. Radar remote sensing is appropriate for monitoring rice because the areas where this crop is cultivated are often cloudy and rainy. Synthetic Aperture Radar (SAR) is thus anticipated to be the dominant high-resolution remote sensing data
source for agricultural applications in tropical and subtropical regions. It also provides revisit schedules suitable for agricultural monitoring. This paper presents the results of a study examining the backscatter behavior of rice as a function of
time using multitemporal RADARSAT data acquired in 1996 and 1997. A rice-type distribution map was produced, showing four types of rice with different life spans ranging from 80 days to 120-125 days. The life span of a rice crop has significant
impact on the yield, as well as on the taste and quality of the rice, with the longer growing varieties having the best taste and the highest productivity. The rice production of three counties and two administrative regions, totaling 5000 km2, was
estimated in this study. The accuracy of the rice classification was found to be 91% (97% after postclassification filtering) providing confidence that multitemporal RADARSAT data is capable of rice mapping. An empirical growth model was then applied
to the results of the rice classification, which related radar backscatter values to rice life spans. These life spans could then be used to sum up the production estimates, which were obtained from agronomic models already in use for rice by local
agronomists. These models related the yield of rice to their life span based on empirical observations for each type of rice. The resulting productivity estimate could not be compared to any other existing data on yield production for the study-area,
but was well received by the local authorities. Based on the studies carded out in the Zhaoqing test site since 1993, it is suggested that rice production estimates require three radar data acquisitions taken at three different stages of crop growth
and development. These three growth stages are: at the end of the transplanting and seedling development period, during the ear differentiation period, and at the beginning of the harvest period. Alternatively, if multiparameter radar data is
available, only two data acquisitions may be needed. These would be at the end of the transplanting and seedling development period, and at the beginning of the harvest period. This paper also proposes an operational scenario for rice monitoring and
production estimation. |
| GEOSCAN ID | 311871 |
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