| Autor: |
Cahyo Budi Nugroho, Daniel Sutopo Pamungkas, Robby Darlinto Silaban, Wenang Anurogo, Mir'atul Khusna Mufida |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 2nd International Conference on Applied Engineering (ICAE). |
| Popis: |
Rubber plants are one of the plantation commodities that have an important role in Indonesia's economic life. Indonesia is a country with the largest rubber plantation in the world. A fast and accurate method is needed that can be used to obtain information about rubber plantation areas, one of them is to use remote sensing data. This research aims to test the results of production estimates carried out with remote sensing data with production data measured in the field. The research method used in this study is the remote sensing method and statistical data analysis using regression correlation. This research uses ASTER imagery in the visible channel and Near IR. The result of the correlation between the value of the SAVI vegetation transformation index and the width of the canopy shows that the two variables are related to each other. This is indicated by the magnitude of the value of R2 on the correlation results of these two variables at 0.709. Judging from the correlation model above, the relationship between the width of the canopy cover and the stem volume shows a very strong relationship, judging from the value of R2 which reaches up to the value of 0.816. Production of rubber plants can be seen from field data related to stem volume that has been obtained from field measurements. The level of accuracy of the study is determined using standard error (SE). This standard error (SE) value is applied to the transformations used, which is 0.7118. The SE value was obtained through a model accuracy test between the canopy and stem volume. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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