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Integrating remote sensing with ecology and evolution to advance biodiversity conservation
Remote sensing has transformed the monitoring of life on Earth by revealing spatial and
temporal dimensions of biological diversity through structural, compositional and functional …
temporal dimensions of biological diversity through structural, compositional and functional …
NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms
Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents
Abstract Models of radiative transfer (RT) are important tools for remote sensing of
vegetation, allowing for forward simulations of remotely sensed data as well as inverse …
vegetation, allowing for forward simulations of remotely sensed data as well as inverse …
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery
The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …
An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives
Nitrogen (N) is significantly related to crop photosynthetic capacity. Over-and-under-
application of N fertilizers not only limits crop productivity but also leads to negative …
application of N fertilizers not only limits crop productivity but also leads to negative …
[HTML][HTML] Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops
With an upcoming unprecedented stream of imaging spectroscopy data, there is a rising
need for tools and software applications exploiting the spectral possibilities to extract …
need for tools and software applications exploiting the spectral possibilities to extract …
[HTML][HTML] Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
J Estévez, M Salinero-Delgado, K Berger… - Remote sensing of …, 2022 - Elsevier
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 …
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …
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 …
[HTML][HTML] Map** landscape canopy nitrogen content from space using PRISMA data
Satellite imaging spectroscopy for terrestrial applications is reaching maturity with recently
launched and upcoming science-driven missions, eg PRecursore IperSpettrale della …
launched and upcoming science-driven missions, eg PRecursore IperSpettrale della …
Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network
RR Pullanagari, M Dehghan-Shoar, IJ Yule… - Remote Sensing of …, 2021 - Elsevier
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 …