Relationships between rice growth parameters and remote sensing data

I Wayan Nuarsa and Fumihiko Nishio (2007) Relationships between rice growth parameters and remote sensing data. International Journal of Remote Sensing and Earth Sciences, 4: 10. pp. 102-112. ISSN 0216-6739

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Abstract

Rice is an agriculture plants that has the specific characteristic in the life stage due to the growth stage having different proportion of vegetation, water, and soil. Vegetation index is one of the satellite remote sensing parameter that is widely used to monitor the global vegetation cover The objective of the study is to know the spectral characteristic of rice plant in the life stage and find the relationship between the rice growth parameters and the remote sensing data by the Landsat ETM data using the correlation and regression analysis. The result of study shows that the spectral characteristic of the rice before one month of age is different comparing after one month. All of the examined vegetation index has close linear relationship with rice coverage. Difference Vegetation Index (DVI) is the best vegetation index which estimates rice coverage with equation y = 1.762x+2.558 and R value was 0.946. Rice age has a high quadratic relationship with all of evaluated vegetation index. Transformed Vegetation Index (TVI) is the best vegetation to predict the age of the rice. Formula y = 0.013x 1.625x+145.8 is the relationship form between the rice age and the TVI with R= 0.939. Peak of the vegetation index of rice is in the rice age of 2 months. This period is the transition of vegetative and generative stages.

Item Type: Article
Uncontrolled Keywords: Vegetation index, Rice growth, Spectral characteristic, Landsat ETM, Agriculturan education
Subjects: Agriculture & Food
Taksonomi LAPAN > Teknologi Penginderaan Jauh > Penelitian, Pengkajian, dan Pengembangan > Teknologi dan Data Penginderaan Jauh
Divisions: LAPAN > Deputi Penginderaan Jauh > Pusat Pemanfaatan Penginderaan jauh
Depositing User: - Aullya -
Date Deposited: 02 Nov 2023 02:58
Last Modified: 02 Nov 2023 02:58
URI: https://karya.brin.go.id/id/eprint/20742

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