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首页> 外文会议>Asian conference on remote sensing >SPATIO-TEMPORAL PATTERN OF PADDY RICE PLANTING ESTIMATED BY USING MODIS DATA PRODUCT AND ITS CORRELATION WITH RAINFALL VARIATIONS: A CASE STUDY OF JAVA, INDONESIA
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SPATIO-TEMPORAL PATTERN OF PADDY RICE PLANTING ESTIMATED BY USING MODIS DATA PRODUCT AND ITS CORRELATION WITH RAINFALL VARIATIONS: A CASE STUDY OF JAVA, INDONESIA

机译：利用MODIS数据产品估算的水稻种植时空格局及其与降雨变化的相关性：以印度尼西亚爪哇为例

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The author developed a method to estimate time of planting paddy rice using 16-day composite vegetation indices MODIS product (MOD13Q1) and applied it to Java Island in Indonesia. The model employed EVI of the product and NDWI (Normalized Difference Water Index), which represented surface water condition, calculated from Band 1 and Band 7 stored in the product. Rice planting time was estimated from time-series EVI and NDWI and assessed by comparison with statistics data. Java Island located in the tropical monsoon climate region is representative rice production area and its cropping season normally started at the beginning of rainy season around October. We estimated the time of first and second rice planting time starting from September for the year from 2000/2001 to 2010/2011 and could demonstrate averaged time of rice planting with spatial distribution pattern and also variations of time year by year for whole Java Island. Standard deviation of length of planting time for the first period were as long as 2 months at widely distributed areas and its range showed longer term compared with the second period. In order to analyze the relation between time of planting rice and condition of rainfall, we first judged the tendency of much or less of rainfall amount to the normal at each year by using rainfall record for 10 stations located in the study site. As a result of calculation of correlation, we could identify areas where time of rice planting tended to be delayed in case of less rainfall in the first half of rainy season and also areas where time tended to be delayed in case of much rainfall. This information would be expected to apply to management of water resources and enhancement of stability of rice production at the site.
机译：作者开发了一种使用16天复合植被指数MODIS产品（MOD13Q1）估算水稻种植时间的方法，并将其应用于印度尼西亚的爪哇岛。该模型使用了产品的EVI和NDWI（归一化差水指数），该指数表示地表水状况，它是根据产品中存储的波段1和波段7计算的。根据时间序列EVI和NDWI估算水稻播种时间，并与统计数据进行比较进行评估。位于热带季风气候区的爪哇岛是典型的稻米产区，其种植季节通常在十月左右的雨季开始时开始。我们估算了2000/2001年至2010/2011年的9月开始的第一和第二次水稻种植时间，可以证明整个水稻岛的平均播种时间具有空间分布格局，而且每年的时间都有所变化。第一时期的播种时间长度的标准偏差在分布较广的地区长达两个月，与第二时期相比，其范围显示出更长的时间。为了分析水稻种植时间与降雨条件之间的关系，我们首先通过使用研究地点的10个站的降雨记录，来判断每年降雨量或多或少趋于正常的趋势。通过相关性的计算，我们可以确定在雨季前半段降雨较少的情况下水稻播种时间倾向于延迟的地区，以及在大量降雨情况下倾向于延迟时间的水稻种植地区。预计该信息将适用于该地区的水资源管理和提高稻米生产的稳定性。

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