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首页> 外文会议>International Society for Photogrammetry and Remote Sensing Commission Technical Commission Symposium >DEVELOPMENT OF THE EMPIRICAL MODEL FOR RICE FIELD DISTRIBUTION MAPPING USING MULTI-TEMPORAL LANDSAT ETM+ DATA: CASE STUDY IN BALI INDONESIA
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DEVELOPMENT OF THE EMPIRICAL MODEL FOR RICE FIELD DISTRIBUTION MAPPING USING MULTI-TEMPORAL LANDSAT ETM+ DATA: CASE STUDY IN BALI INDONESIA

机译：利用多时间覆盖ETM +数据发展稻田分布映射实证模型：巴厘岛印度尼西亚案例研究

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Information about an area and its distribution of planted and harvested paddy rice field is essential for food security management, water resource management, and for the estimation of gas emissions. Rice field has specific coverage characteristics throughout its life time. Its coverage is mixed proportionally in accordance with its age, between water, soil, and rice vegetation. Landsat ETM+ has a good spatial, spectral, and temporal resolution for rice growth monitoring and production estimation. The study was done in Tabanan Regency, Bali Province, Indonesia. The objectives of the study were: (1) to develop the rice growth vegetation index (RGVI), (2) to map the rice distribution and its age, and (3) to quantitative compare the rice field area's analysis results with the reference data. The results of this study show that an exponential equation is the best relationship form between a rice field spectral and the rice age. The visible bands of Landsat ETM+ (Band 1, Band 2, and Band 3) show a weak exponential relationship with the rice age. However, the reflective infrared bands of Landsat ETM+ (Band 4 and B5) and the entire vegetation index show a strong exponential relationship with the rice age. Using multiple bands of Landsat ETM+ as a vegetation index gives a better result than using a single band. RGVI is the new vegetation index developed in this study with the equation RGVI velence 1 - ((b1+b3)/(b4+b5+b7)) where b1, b3, b4, and b5 are the bands of Landsat ETM+. The RGVI that is evaluated in this study is the better vegetation index compared to the existing vegetation index. The relationship between rice age and RGVI shows the highest determination coefficient (R2) with the equation y velence 14.265e~(2.452x), where y and x are the rice age and RGVI respectively. Quantitative comparison of the rice field analysis results and reference data at district level shows a linear relationship with the equation y velence 0.920x - 3.841 and R~(2) velence 0.971, where y is rice field area of reference data and x is the rice field area of the analysis result of the Landsat ETM+. The standard of this estimation is 43.04 ha.
机译：有关地区及其种植和收获水稻田的分布的信息对于粮食安全管理，水资源管理和估计天然气排放至关重要。稻田在其一生中具有特定的覆盖特征。它的覆盖范围根据其年龄，水，土壤和水稻植被之间比例地混合。 Landsat ETM +具有良好的空间，光谱和季度分辨率，用于水稻生长监测和生产估算。该研究是在印度尼西亚巴厘岛省塔加南丽晶所做的。该研究的目标是：（1）开发水稻生长植被指数（RGVI），（2）映射水稻分布及其年龄，（3）定量比较稻田区的分析结果与参考数据。该研究的结果表明，指数方程是稻田光谱和稻米年龄之间的最佳关系形式。 Landsat ETM +（带1，频段2和带3）的可见带显示出与稻米年龄的弱指数关系。然而，Landsat ETM +（带4和B5）的反射红外条带和整个植被指数显示出与稻米年龄的强大指数关系。使用多条乐队的Landsat ETM +作为植被指数提供比使用单个频段更好的结果。 RGVI是该研究中开发的新植被指数，其等式RGVI柔滑型1 - （（B1 + B3）/（B4 + B5 + B7）），其中B1，B3，B4和B5是Landsat ETM +的带。与现有植被指数相比，在本研究中评估的RGVI是更好的植被指数。水稻年龄和RGV之间的关系显示了具有等式Y柔性14.265e〜（2.452x）的最高确定系数（R2），其中Y和X分别是稻米年龄和RGV。地区级的稻田分析结果和参考数据的定量比较显示了与等式y velence 0.920x-3.841和r〜（2）柔性丝的线性关系0.971，其中Y是参考数据的稻田区域，x是米饭土地+ ETM +的分析结果的场区域。该估计的标准是43.04公顷。

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