...
首页> 外文期刊>Network Daily News >New Findings in Remote Sensing Described from International Crops Research Institute for the Semi-Arid Tropics (Detecting Soil Ph From Open-source Remote Sensing Data: a Case Study of Angul and Balangir Districts, Odisha State)
【24h】

New Findings in Remote Sensing Described from International Crops Research Institute for the Semi-Arid Tropics (Detecting Soil Ph From Open-source Remote Sensing Data: a Case Study of Angul and Balangir Districts, Odisha State)

机译:在遥感所描述的新发现国际热带作物研究所半干旱热带地区(检测土壤Ph值开源的遥感数据:一个案例研究Angul Balangir地区,Odisha状态)

获取原文
获取原文并翻译 | 示例

摘要

By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Remote Sensing have been presented. According to news reporting originating from Hyderabad, India, by NewsRx correspondents, research stated, “Soil sampling, collection, and analysis are a costly and labor-intensive activity that cannot cover the entire farmlands; hence, it was conceived to use high-speed open-source platforms like Google Earth Engine in this research to estimate soil characteristics remotely using high-resolution open-source satellite data. The objective of this research was to estimate soil pH from Sentinel-1, Sentinel-2, and Landsat-8 satellite-derived indices; data from Sentinel-1, Sentinel-2, and Landsat-8 satellite missions were used to generate indices and as proxies in a statistical model to estimate soil pH.”
机译:由一个新闻记者在网络新闻编辑每日新闻——遥感数据详细的被提出。由NewsRx来自海得拉巴,印度记者,研究指出,“土壤采样,收集和分析是一个昂贵的和劳动密集型活动,掩盖不了整个农田;高速像谷歌开源平台在这项研究估计的土壤地球引擎使用高分辨率特征远程开源的卫星数据。研究从Sentinel-1估计土壤pH值,Sentinel-2, Landsat-8采用卫星指数;被用来Landsat-8卫星任务生成统计指标和代理模型来估计土壤博士”

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号