Remote sensing for agricultural applications: A meta-review

M Weiss, F Jacob, G Duveiller - Remote sensing of environment, 2020 - Elsevier
Agriculture provides humanity with food, fibers, fuel, and raw materials that are paramount
for human livelihood. Today, this role must be satisfied within a context of environmental …

Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress

GH Mohammed, R Colombo, EM Middleton… - Remote sensing of …, 2019 - Elsevier
Remote sensing of solar-induced chlorophyll fluorescence (SIF) is a rapidly advancing front
in terrestrial vegetation science, with emerging capability in space-based methodologies …

An overview of global leaf area index (LAI): Methods, products, validation, and applications

H Fang, F Baret, S Plummer… - Reviews of …, 2019 - Wiley Online Library
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …

Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods

J Verrelst, Z Malenovský, C Van der Tol… - Surveys in …, 2019 - Springer
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …

PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle

JB Féret, AA Gitelson, SD Noble… - Remote Sensing of …, 2017 - Elsevier
Leaf pigments provide valuable information about plant physiology. High resolution
monitoring of their dynamics will give access to better understanding of processes occurring …

Advances in microclimate ecology arising from remote sensing

F Zellweger, P De Frenne, J Lenoir, D Rocchini… - Trends in Ecology & …, 2019 - cell.com
Microclimates at the land–air interface affect the physiological functioning of organisms
which, in turn, influences the structure, composition, and functioning of ecosystems. We …

Digital elevation model quality assessment methods: A critical review

L Polidori, M El Hage - Remote sensing, 2020 - mdpi.com
Digital elevation models (DEMs) are widely used in geoscience. The quality of a DEM is a
primary requirement for many applications and is affected during the different processing …

Map** functional diversity from remotely sensed morphological and physiological forest traits

FD Schneider, F Morsdorf, B Schmid… - Nature …, 2017 - nature.com
Assessing functional diversity from space can help predict productivity and stability of forest
ecosystems at global scale using biodiversity–ecosystem functioning relationships. We …

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 …

Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences

JUH Eitel, B Höfle, LA Vierling, A Abellán… - Remote Sensing of …, 2016 - Elsevier
Capturing and quantifying the world in three dimensions (x, y, z) using light detection and
ranging (lidar) technology drives fundamental advances in the Earth and Ecological …