{"id":2774,"date":"2020-04-10T13:34:22","date_gmt":"2020-04-10T05:34:22","guid":{"rendered":"https:\/\/eofactory.ai\/blog\/?p=2774"},"modified":"2021-09-28T15:28:18","modified_gmt":"2021-09-28T07:28:18","slug":"rice-mapping-through-remote-sensing","status":"publish","type":"post","link":"https:\/\/eofactory.ai\/blog\/rice-mapping-through-remote-sensing\/","title":{"rendered":"Rice Mapping Using Time-Series AI Algorithms – A SAR Based Approach"},"content":{"rendered":"\n

Rice is the single most important human food crop in the world, directly feeding more people than any other crop. Rice is a staple food that is a necessity for most people living in the Asian regions.<\/p>\n\n\n\n

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Precise rice mapping is of paramount importance for ensuring food security and maintaining continual economic development. In Indonesia, rice production is an essential part of its national economy. Indonesia holds the title of the third-largest producer of rice in the world.<\/p>\n\n\n\n

Skymap Global has built its capability on mapping paddy across southeast Asian countries. One such example illustrated in this article is the paddy mapping of Java, Indonesia. The use of optical images was churned out as most parts of Indonesia had cloud coverage, and SAR images have the ability to penetrate cloud covers to derive valuable insights.\u00a0
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Our time-series satellite imagery analysis<\/a> and rice growing stage<\/strong><\/h2>\n\n\n\n

In Java, there are two seasons for planting and harvesting rice. The first season starts in October-November and ends in March-April of the following year. The second season begins in May-June and ends in August-September.<\/p>\n\n\n\n

The typical timeline has a duration of 150 days, as illustrated below. During that period, several growing stages are observed. Owing to a revisit time of 12 days, it is possible to continuously monitor the growth of the plants and detect the presence of anomalies. Operating in two modes (ascending and descending), it is even possible to monitor the growing stage with a temporal sampling of 6 days. In other words, Skymap Global can use 25 images to capture the plants\u2019 health all along the season.
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