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首页> 外文会议>International conference on remote sensing and geoinformation of the environment >Land cover mapping using LiDAR data and aerial image and soil fertility degradation assessment for rice production area in Quezon, Nueva Ecija, Philippines
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Land cover mapping using LiDAR data and aerial image and soil fertility degradation assessment for rice production area in Quezon, Nueva Ecija, Philippines

机译：使用LiDAR数据和航空影像进行的土地覆盖图绘制以及菲律宾新埃奇亚奎松的水稻产区土壤肥力退化评估

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Land-cover maps were important for many scientific, ecological and land management purposes and during the last decades, rapid decrease of soil fertility was observed to be due to land use practices such as rice cultivation. High-precision land-cover maps are not yet available m the area which is important in an economy management. To assure accurate mapping of land cover to provide information, remote sensing is a very suitable tool to carry out this task and automatic land use and cover detection. The study did not only provide high precision land cover maps but it also provide estimates of rice production area that had undergone chemical degradation due to fertility decline. Land-cover were delineated and classified into pre-defined classes to achieve proper detection features. After generation of Land-cover map, of high intensity of rice cultivation, soil fertility degradation assessment in rice production area due to fertility decline was created to assess the impact of soils used in agricultural production. Using Simple spatial analysis functions and ArcGIS, the Land-cover map of Municipality of Quezon in Nueva Ecija, Philippines was overlaid to the fertility decline maps from Land Degradation Assessment Philippines- Bureau of Soils and Water Management (LADA-Philippines-BSWM) to determine the area of rice crops that were most likely where nitrogen, phosphorus, zinc and sulfur deficiencies were induced by high dosage of urea and imbalance N:P fertilization. The result found out that 80.00 % of fallow and 99.81% of rice production area has high soil fertility decline.
机译：土地覆盖图对于许多科学，生态和土地管理目的都很重要，在过去的几十年中，人们观察到土壤肥力的迅速下降归因于水稻种植等土地利用做法。在该地区，还没有高精度的土地覆盖图，这在经济管理中很重要。为了确保准确绘制土地覆被以提供信息，遥感是执行此任务以及自动进行土地使用和覆被检测的非常合适的工具。该研究不仅提供了高精度的土地覆盖图，而且还提供了由于生育力下降而经历了化学降解的水稻生产面积的估计值。划定土地覆盖物并分类为预定义的类别，以实现适当的检测功能。在生成土地覆盖图之后，进行高强度的水稻种植，创建了由于土壤肥力下降而导致的水稻产区土壤肥力退化评估，以评估农业生产土壤的影响。使用简单的空间分析功能和ArcGIS，将菲律宾新埃西哈（Nueva Ecija）奎松市的土地覆盖图覆盖到菲律宾土地退化评估-土壤和水管理局（LADA-Philippines-BSWM）的生育力下降图上，以确定高剂量的尿素和不平衡的N：P施肥会导致氮，磷，锌和硫缺乏的水稻作物面积。结果发现，休耕地的80.00％和水稻产区的99.81％具有较高的土壤肥力下降。

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