Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Survey of hyperspectral earth observation applications from space in the sentinel-2 context
In the last few decades, researchers have developed a plethora of hyperspectral Earth
Observation (EO) remote sensing techniques, analysis and applications. While …
Observation (EO) remote sensing techniques, analysis and applications. While …
[HTML][HTML] Thermal infrared remote sensing of vegetation: Current status and perspectives
Vegetation plays a vital role in the ecological functioning of terrestrial and coastal
ecosystems. Remote sensing generally provides timely and accurate information to manage …
ecosystems. Remote sensing generally provides timely and accurate information to manage …
[ספר][B] Thriving on our changing planet: A decadal strategy for Earth observation from space
National Academies of Sciences, Medicine… - 2019 - books.google.com
We live on a dynamic Earth shaped by both natural processes and the impacts of humans
on their environment. It is in our collective interest to observe and understand our planet …
on their environment. It is in our collective interest to observe and understand our planet …
The ECOSTRESS spectral library version 1.0
Abstract In June 2018, the ECOsystem Spaceborne Thermal Radiometer Experiment on
Space Station (ECOSTRESS) mission was launched to measure plant temperatures and …
Space Station (ECOSTRESS) mission was launched to measure plant temperatures and …
Hyperspectral remote sensing in precision agriculture: Present status, challenges, and future trends
The rapid development of remote sensing has made it possible to study environmental
processes and changes in agriculture and also to provide important assistance in relevant …
processes and changes in agriculture and also to provide important assistance in relevant …
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
Accurate estimation of leaf nitrogen concentration (LNC) is critical to characterize ecosystem
and plant physiological processes for example in carbon fixation. Remote sensing can …
and plant physiological processes for example in carbon fixation. Remote sensing can …
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network
As an essential feature of plant autotrophy, Nitrogen (N) is the major nutrient affecting plant
growth in terrestrial ecosystems, thus is of not only fundamental scientific interest, but also a …
growth in terrestrial ecosystems, thus is of not only fundamental scientific interest, but also a …
Hyperspectral remote sensing of fire: State-of-the-art and future perspectives
Fire is a widespread Earth system process with important carbon and climate feedbacks.
Multispectral remote sensing has enabled map** of global spatiotemporal patterns of fire …
Multispectral remote sensing has enabled map** of global spatiotemporal patterns of fire …
Unveiling the transferability of PLSR models for leaf trait estimation: lessons from a comprehensive analysis with a novel global dataset
Leaf traits are essential for understanding many physiological and ecological processes.
Partial least squares regression (PLSR) models with leaf spectroscopy are widely applied …
Partial least squares regression (PLSR) models with leaf spectroscopy are widely applied …
Unique contributions of chlorophyll and nitrogen to predict crop photosynthetic capacity from leaf spectroscopy
The photosynthetic capacity or the CO2-saturated photosynthetic rate (V max), chlorophyll,
and nitrogen are closely linked leaf traits that determine C4 crop photosynthesis and yield …
and nitrogen are closely linked leaf traits that determine C4 crop photosynthesis and yield …