机译:基于无人机超高地面分辨率图像纹理和植被指数的基于无人机冬小麦地上生物量的估计
Nanjing Univ Int Inst Earth Syst Sci Nanjing 210023 Jiangsu Peoples R China|Beijing Res Ctr Informat Technol Agr Minist Agr China Key Lab Quantitat Remote Sensing Agr Beijing 100097 Peoples R China|Nanjing Univ Jiangsu Prov Key Lab Geog Informat Sci & Technol Nanjing 210023 Jiangsu Peoples R China;
Beijing Res Ctr Informat Technol Agr Minist Agr China Key Lab Quantitat Remote Sensing Agr Beijing 100097 Peoples R China;
Nanjing Univ Int Inst Earth Syst Sci Nanjing 210023 Jiangsu Peoples R China|Nanjing Univ Jiangsu Prov Key Lab Geog Informat Sci & Technol Nanjing 210023 Jiangsu Peoples R China;
Beijing Res Ctr Informat Technol Agr Minist Agr China Key Lab Quantitat Remote Sensing Agr Beijing 100097 Peoples R China;
Nanjing Univ Int Inst Earth Syst Sci Nanjing 210023 Jiangsu Peoples R China|Nanjing Univ Jiangsu Prov Key Lab Geog Informat Sci & Technol Nanjing 210023 Jiangsu Peoples R China;
Beijing Res Ctr Informat Technol Agr Minist Agr China Key Lab Quantitat Remote Sensing Agr Beijing 100097 Peoples R China;
Unmanned aerial vehicle; Vegetation indices; Ultrahigh ground-resolution image; Image textures; Gray-tone spatial-dependence matrix; Reproductive growth stages;
机译:基于无人机超高分辨率图像纹理和植被指数的冬小麦地上生物量估算
机译:使用植被指数和纹理指标估算冬季油菜的生物量,源自UAV MultiSpectral图像
机译:利用基于UAV的RGB图像和植被指数的高分辨率冠层表面模型估算温带草地的生物量
机译:无人机图像中基于对象的杂草检测中的植被指数和纹理
机译:使用Landsat ETM +图像进行回归分析和k最近邻技术估算松树林地上生物量的效用进行比较。
机译:基于无人机学习数据的机器学习方法对玉米地上生物量建模
机译:使用源自高空间分辨率卫星图像的植被指数的栎(栎)的地上生物量估计
机译:利用多光谱图像进行距离植被类型制图和地上绿色生物量估算