Integrating remote sensing with ecology and evolution to advance biodiversity conservation

J Cavender-Bares, FD Schneider, MJ Santos… - Nature Ecology & …, 2022 - nature.com
Remote sensing has transformed the monitoring of life on Earth by revealing spatial and
temporal dimensions of biological diversity through structural, compositional and functional …

NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

K Cawse-Nicholson, PA Townsend, D Schimel… - Remote sensing of …, 2021 - Elsevier
Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
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

JB Féret, K Berger, F De Boissieu… - Remote Sensing of …, 2021 - Elsevier
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 …

Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery

G Tagliabue, M Boschetti, G Bramati, G Candiani… - ISPRS Journal of …, 2022 - Elsevier
The recently launched and upcoming hyperspectral satellite missions, featuring contiguous
visible-to-shortwave infrared spectral information, are opening unprecedented opportunities …

[HTML][HTML] Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops

M Danner, K Berger, M Wocher, W Mauser… - ISPRS Journal of …, 2021 - Elsevier
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 …

An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives

Y Fu, G Yang, R Pu, Z Li, H Li, X Xu, X Song… - European Journal of …, 2021 - Elsevier
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 …

Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets

L Wan, W Zhou, Y He, TC Wanger, H Cen - Remote Sensing of …, 2022 - Elsevier
Accurate estimation of leaf nitrogen concentration (LNC) is critical to characterize ecosystem
and plant physiological processes for example in carbon fixation. Remote sensing can …

[HTML][HTML] Mapping landscape canopy nitrogen content from space using PRISMA data

J Verrelst, JP Rivera-Caicedo, P Reyes-Muñoz… - ISPRS Journal of …, 2021 - Elsevier
Satellite imaging spectroscopy for terrestrial applications is reaching maturity with recently
launched and upcoming science-driven missions, eg PRecursore IperSpettrale della …

[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 …

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 …