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首页> 外文会议>International Conference and Exhibition on Geospatial and Remote Sensing >Dry season analysis using MODIS data for forest and agricultural area in Negeri Sembilan, Malaysia
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Dry season analysis using MODIS data for forest and agricultural area in Negeri Sembilan, Malaysia

机译：马来西亚内森林林森林与农业区森林与农业区的旱季分析

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摘要

Tropical forest together with oil palm and rubber, two of the important plantation crops in Malaysia play a huge significant role in providing biodiversity, maintaining ecosystem, maintaining carbon balance and have huge economic value for Malaysian economy. These plantations highly sensitive to long term droughts causing crops productivity decline. The study focusing on the drought effect on these plants production using remote sensing technology. Satellite images of study areas were collected by using MODIS according to study time frame of drought. The images collected were employed, pre-processed to eliminate all the interference on the satellite images and analysed to develop various vegetation indices particularly for dry characteristics namely, Normalised Difference Water Index (NDWI), Water Index (WI), Short Wavelength Infrared (SWIR) and Water Stress Index (SIWSI). Then, meteorological data such as humidity, precipitation, temperature and solar radiation of the areas analysed to categorise the time-frame of the drought. Lastly, dry season map consisting vegetation indices for the study areas constructed.
机译：热带森林与油棕和橡胶一起，马来西亚的两种重要种植园作物在提供生物多样性，维持生态系统，维持碳平衡以及对马来西亚经济的巨大经济价值方面发挥着巨大的重大作用。这些种植园对长期干旱高度敏感，导致作物生产率下降。研究专注于使用遥感技术对这些植物产生的干旱影响。根据干旱的研究时间框架，使用MODIS收集研究区域的卫星图像。采用收集的图像，预处理以消除卫星图像上的所有干扰，并分析，特别是对于干燥特征，归一化差异水指数（NDWI），水指数（Wi），短波长度（SWIR）开发各种植被指数。 ）和水分应激指数（SIWSI）。然后，诸如分析的区域的湿度，沉淀，温度和太阳辐射等气象数据分析了干旱的时框。最后，干燥的季节地图包括建造的研究领域的植被指数。

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