UTILIZATION OF SPOT IMAGERY TO EVALUATE THE SUITABILITY OF RICE FIELD SPACE PATTERNS IN PADANG CITY

Ero Anelka Efendi, Dilla Angraina
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Abstract

that are converted into built-up lands such as housing, shops and industry. According to Darmawan (2002), one of the factors that cause land change is the socioeconomic factors of the community related to the needs of human life. One of the provinces that experienced the largest paddy land conversion in Indonesia is the West Sumatra region. Many factors result in land use changes that have an impact on the land itself, such as social, and economic factors and also factors of increasing the number of inhabitants. Land use change is the transition of an old form and location of land use to a new one. Or the change in the function of agricultural land such as built-up land (Adhiatma et al., 2020). The selection of the Padang City Area as a research site was based on significant land use changes in Padang City, this was caused by several factors such as the rate of population growth in Padang City which increased every year based on BPS data in 2015-2020 period was 1.52% with a population of 909.04 thousand people in 2020. The spatial pattern that has been set by the government in general in the city of Padang is an area developed for the cultivation of rice fields covering an area of 4540.10 ha. Based on BPS data from Padang City, the area of paddy fields decreases by 0.7% every year which is converted into housing and shops and industries in Padang City. The development of built-up land that occurred in the city of Padang slowly changed the rice field area into a built-up area that was not by the provisions of the spatial pattern that had been set by the local government. The spatial pattern that has been set by the government so that the area of paddy fields can be maintained by utilizing remote sensing data. By using remote sensing data such as imagery. Spot imagery is one of the high-resolution remote sensing images that is a French-owned satellite that operates to provide remote sensing data. SPOT imagery provides an imaging instrument that is then carried out as an overlay method between the rice field map and the rice field space pattern that has been set by the government to see its suitability. High-resolution optics are synonymous with panchromatic (P) and Multispectral (Green, Red, and Near Infrared). SPOT imagery has a spatial resolution of 2.5meter 10meters with a wide viewing angle that covers 60 x 60 km or 60 x 120 km in twin mode instruments, and an orbital altitude of 822 km, SPOT provides an ideal combination of high resolution and also wide visibility that can meet the needs of data that is accurate enough for identification of rice fields.
利用现场影像评价巴东市稻田空间格局适宜性
这些土地被转换成已建成的土地,如住房、商店和工业。Darmawan(2002)认为,引起土地变化的因素之一是与人类生活需要相关的社区社会经济因素。印度尼西亚西苏门答腊地区是稻田转化最多的省份之一。许多因素导致土地利用的变化,对土地本身产生影响,如社会和经济因素,以及增加居民数量的因素。土地利用变化是指土地利用的旧形式和位置向新的形式和位置的过渡。或农业用地(如建设用地)功能的变化(Adhiatma et al., 2020)。之所以选择巴东城区作为研究地点,是因为巴东市的土地利用发生了明显的变化,这是由于巴东市的人口增长率(根据BPS数据,2015-2020年期间巴东市人口增长率每年都在增加)为1.52%,到2020年人口为90904万人等因素造成的。巴东市总体上由政府确定的空间格局是一个面积为4540.10公顷的稻田种植区。根据巴东市的BPS数据,稻田面积每年减少0.7%,这些稻田被转化为巴东市的住房和商店和工业。发生在巴东市的建成区的开发,慢慢地将稻田地区变成了一个建成区,这个建成区不受当地政府设定的空间格局的规定。由政府设定的空间格局,以便利用遥感数据维持稻田的面积。通过使用遥感数据,如图像。Spot图像是高分辨率遥感图像之一,它是法国拥有的一颗卫星,用于提供遥感数据。SPOT图像提供了一种成像工具,然后将其作为稻田地图和政府设定的稻田空间模式之间的叠加方法,以查看其适用性。高分辨率光学是全色(P)和多光谱(绿色,红色和近红外)的同义词。SPOT图像的空间分辨率为2.5米10米,具有宽视角,在双模仪器中覆盖60 x 60公里或60 x 120公里,轨道高度为822公里,SPOT提供了高分辨率和宽可见性的理想组合,可以满足足够精确的数据需求,以识别稻田。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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