Quantifying the Robustness of Vegetation Indices through Global Sensitivity Analysis of Homogeneous and Forest Leaf-Canopy Radiative Transfer Models [0.03%]
基于全球敏感性分析的植被指数稳健性定量研究——以均质冠层和森林冠层辐射传输模型为例
Pablo Morcillo-Pallarés,Juan Pablo Rivera-Caicedo,Santiago Belda et al.
Pablo Morcillo-Pallarés et al.
Vegetation indices (VIs) are widely used in optical remote sensing to estimate biophysical variables of vegetated surfaces. With the advent of spectroscopy technology, spectral bands can be combined in numerous ways to extract the desired i...
Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging [0.03%]
基于无人机的VNIR高光谱成像的作物性状检索策略比较
Asmaa Abdelbaki,Martin Schlerf,Rebecca Retzlaff et al.
Asmaa Abdelbaki et al.
Hyperspectral cameras onboard unmanned aerial vehicles (UAVs) have recently emerged for monitoring crop traits at the sub-field scale. Different physical, statistical, and hybrid methods for crop trait retrieval have been developed. However...
Compensation of Oxygen Transmittance Effects for Proximal Sensing Retrieval of Canopy-Leaving Sun-Induced Chlorophyll Fluorescence [0.03%]
氧透射率影响的校正及其在冠层叶绿素荧光太阳诱导荧光 proximal sensing 反演中的应用
Neus Sabater,Jorge Vicent,Luis Alonso et al.
Neus Sabater et al.
Estimates of Sun-Induced vegetation chlorophyll Fluorescence (SIF) using remote sensing techniques are commonly determined by exploiting solar and/or telluric absorption features. When SIF is retrieved in the strong oxygen (O2) absorption f...
Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI [0.03%]
基于Sentinel-2和Landsat 8绿色LAi时间序列的尼罗河三角洲农作物物候多季制图
Eatidal Amin,Santiago Belda,Luca Pipia et al.
Eatidal Amin et al.
Space-based cropland phenology monitoring substantially assists agricultural managing practices and plays an important role in crop yield predictions. Multitemporal satellite observations allow analyzing vegetation seasonal dynamics over la...
Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission [0.03%]
评估混合模型在CHIME任务框架下估算玉米叶绿素和氮含量的效果
Gabriele Candiani,Giulia Tagliabue,Cinzia Panigada et al.
Gabriele Candiani et al.
In the next few years, the new Copernicus Hyperspectral Imaging Mission (CHIME) is foreseen to be launched by the European Space Agency (ESA). This missions will provide an unprecedented amount of hyperspectral data, enabling new research p...
Urban Heat Island Monitoring and Impacts on Citizen's General Health Status in Isfahan Metropolis: A Remote Sensing and Field Survey Approach [0.03%]
遥感和实地调查方法在厄斯菲汉大都市区热岛监测及其对居民健康影响中的应用
Mohsen Mirzaei,Jochem Verrelst,Mohsen Arbabi et al.
Mohsen Mirzaei et al.
Urban heat islands (UHIs) are one of the urban management challenges, especially in metropolises, which can affect citizens' health and well-being. This study used a combination of remote sensing techniques with field survey to investigate ...
Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer [0.03%]
基于HyPlant机载成像光谱仪记录的辐亮度数据模拟太阳诱导叶绿素荧光
Miguel Morata,Bastian Siegmann,Pablo Morcillo-Pallarés et al.
Miguel Morata et al.
The retrieval of sun-induced fluorescence (SIF) from hyperspectral radiance data grew to maturity with research activities around the FLuorescence EXplorer satellite mission FLEX, yet full-spectrum estimation methods such as the spectral fi...
Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data [0.03%]
应用于PRISMA数据的降维策略：用于CHIME作物性状检索模型的原型设计
Ana B Pascual-Venteo,Enrique Portalés,Katja Berger et al.
Ana B Pascual-Venteo et al.
In preparation for new-generation imaging spectrometer missions and the accompanying unprecedented inflow of hyperspectral data, optimized models are needed to generate vegetation traits routinely. Hybrid models, combining radiative transfe...
Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine [0.03%]
基于Google Earth Engine的Sentinel-3 OLCI数据目录在欧洲量化基本植被特征指标的研究
Pablo Reyes-Muñoz,Luca Pipia,Matías Salinero-Delgado et al.
Pablo Reyes-Muñoz et al.
Thanks to the emergence of cloud-computing platforms and the ability of machine learning methods to solve prediction problems efficiently, this work presents a workflow to automate spatiotemporal mapping of essential vegetation traits from ...
SMAP Salinity Retrievals near the Sea-Ice Edge Using Multi-Channel AMSR2 Brightness Temperatures [0.03%]
基于多通道AMSR2亮度温度的海冰边缘附近海水盐度反演
Thomas Meissner,Andrew Manaster
Thomas Meissner
Sea-ice contamination in the antenna field of view constitutes a large error source in retrieving sea-surface salinity (SSS) with the spaceborne Soil Moisture Active Passive (SMAP) L-band radiometer. This is a major obstacle in the current ...