Huete AR (2012) Vegetation indices, remote sensing and forest monitor- ing. Geogr Compass 6:513-532Huete AR (2012) Vegetation indices, remote sensing and forest monitor- ing. Geography Compass 6:513-532Huete, A.R. Vegetation indices, remote sensing and forest monitoring. Geogr. Compass 2012,...
2. Teillet, P.M.; Ren, X. Spectral band difference effects on vegetation indices derived from multiple satellite sensor data. Can. J. Remote Sens. 2008, 34, 159–173. Remote Sensing (ISSN 2072-4292; IF:4.509) 是一个与遥感学科相关的国际型开放获取期刊。其期刊范围涵盖遥感科学所有领域,从传...
Remote sensing has been used to assess plant water status and water stress in crops (Gerhards et al.2016). This can be achieved through the estimation of leaf water content using indicators such as water potential, relative water content, equivalent water thickness of leaves and canopy temperatur...
Forest health monitoringRemote sensingDIEBACKVegetation indicesSibara forestCork oak forests in Morocco are rich in resources and services thanks to their great... Y Dallahi,A Boujraf,M Meliho,... - 林业研究:英文版 被引量: 0发表: 2023年 Remote Sensing Technologies for Monitoring Argane Forest...
In this sense, remote sensing is a key technology generally dependent on the result of vegetation indices (VIs). Therefore, investigating the sensitivity of VIs and their contribution toward explaining crop variability and assisting in predicting yield is one of the pathways scientific research needs ...
植被的重要性在陆地—大气相互作用的研究中被广泛认知,诸如叶面积指数(Leaf Area Index, LAI)、光合作用有效辐射吸收率(Fraction of Absorbed Photosynthetically Active Radiation, FAPAR)[1-3] 及植被覆盖率(Fractional Vegetation Cover, FVC)[4-6]等生物物理参数均可有效地描述植被功能,现已被业界广泛采用。为了长...
Spatiotemporal fusion of multisource remote sensing data: literature survey, taxonomy, principles, applications, and future directions. Remote Sens, 2018, 10: 527 2.1、Weight function-based methods 时空自适应反射率融合模型(STARFM)是现有文献中开发的第一个基于权重函数的STF方法。该方法首先假设粗略图像中...
特点：NDVI 是遥感中最常见的植被指数。它可以在整个作物生产季节使用，除非植被覆盖太稀少，因此它的光谱...
Vegetation coverage is a very important ecological environment parameter,and remote sensing imagery can provide the vegetation coverage information and variation trend on different spatial scales.Remote sensing is an important means in obtaining vegetation coverage,and vegetation indices are indirect indices ...
5.Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery 弱监督深度学习的遥感影像分割 Sherrie Wang et al. 近年来,深度学习的理论和方法逐渐被引入遥感领域,深度学习的遥感影像分割精度不断得到提高。然而目前可用的影像分割数据集数量仍然较少,这使得卷积神经网络在遥感影像分割上的应用受限。为...