Fusing optical and SAR time series for LAI gap fillingwith multioutput Gaussian processes [0.03%]
基于多输出高斯过程的光学和SAR时序数据融合填补叶面积指数缺口值研究
Luca Pipia,Jordi Muñoz-Marí,Eatidal Amin et al.
Luca Pipia et al.
The availability of satellite optical information is often hampered by the natural presence of clouds, which can be problematic for many applications. Persistent clouds over agricultural fields can mask key stages of crop growth, leading to...
Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem [0.03%]
基于过程的森林生态系统GPP估算与机载红光和远红光诱导叶绿素荧光的时空关系研究
Giulia Tagliabue,Cinzia Panigada,Benjamin Dechant et al.
Giulia Tagliabue et al.
Terrestrial gross primary productivity (GPP) plays an essential role in the global carbon cycle, but the quantification of the spatial and temporal variations in photosynthesis is still largely uncertain. Our work aimed to investigate the p...
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data [0.03%]
基于Sentinel-2大气顶层数据的谷歌地球引擎农作物性状高斯过程反演方法研究
José Estévez,Matías Salinero-Delgado,Katja Berger et al.
José Estévez et al.
The unprecedented availability of optical satellite data in cloud-based computing platforms, such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval models from the local to the planetary scale. Hybrid ret...
Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire [0.03%]
基于高空间分辨率卫星反射率数据的辐射传输模型混合反演可提高异质生态系统火烧后植被覆盖度信息提取精度
José Manuel Fernández-Guisuraga,Jochem Verrelst,Leonor Calvo et al.
José Manuel Fernández-Guisuraga et al.
In forest landscapes affected by fire, the estimation of fractional vegetation cover (FVC) from remote sensing data using radiative transfer models (RTMs) enables to evaluate the ecological impact of such disturbance across plant communitie...
Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring [0.03%]
基于哨兵二号遥感数据的作物生长期和收获期产品的原型算法研究
Eatidal Amin,Jochem Verrelst,Juan Pablo Rivera-Caicedo et al.
Eatidal Amin et al.
For agricultural applications, identification of non-photosynthetic above-ground vegetation is of great interest as it contributes to assess harvest practices, detecting crop residues or drought events, as well as to better predict the carb...
Xiao Xiang Zhu,Chunping Qiu,Jingliang Hu et al.
Xiao Xiang Zhu et al.
Urbanization is the second largest mega-trend right after climate change. Accurate measurements of urban morphological and demographic figures are at the core of many international endeavors to address issues of urbanization, such as the Un...
Solar photovoltaic module detection using laboratory and airborne imaging spectroscopy data [0.03%]
使用实验室和机载成像光谱数据检测太阳光伏组件
Chaonan Ji,Martin Bachmann,Thomas Esch et al.
Chaonan Ji et al.
Over the past decades, solar panels have been widely used to harvest solar energy owing to the decreased cost of silicon-based photovoltaic (PV) modules, and therefore it is essential to remotely map and monitor the presence of solar PV mod...
A machine learning model to estimate ambient PM2.5 concentrations in industrialized highveld region of South Africa [0.03%]
在南非工业化高地地区估计环境PM2.5浓度的机器学习模型
Danlu Zhang,Linlin Du,Wenhao Wang et al.
Danlu Zhang et al.
Exposure to fine particulate matter (PM2.5) has been linked to a substantial disease burden globally, yet little has been done to estimate the population health risks of PM2.5 in South Africa due to the lack of high-resolution PM2.5 exposur...
Complementary water quality observations from high and medium resolution Sentinel sensors by aligning chlorophyll- a and turbidity algorithms [0.03%]
通过调整叶绿素-a和浊度算法来比较Sentinel传感器的高分辨率和中分辨率水质观测值
Mark A Warren,Stefan G H Simis,Nick Selmes
Mark A Warren
High resolution imaging spectrometers are prerequisite to address significant data gaps in inland optical water quality monitoring. In this work, we provide a data-driven alignment of chlorophyll-a and turbidity derived from the Sentinel-2 ...
Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging spectrometer HyPlant [0.03%]
利用机载成像光谱仪HyPlant获取的昼夜数据集将不同作物的远红太阳诱导叶绿素荧光从冠层降到叶片级别分析方法
Bastian Siegmann,Maria Pilar Cendrero-Mateo,Sergio Cogliati et al.
Bastian Siegmann et al.
Remote sensing-based measurements of solar-induced chlorophyll fluorescence (SIF) are useful for assessing plant functioning at different spatial and temporal scales. SIF is the most direct measure of photosynthesis and is therefore conside...