Optical vegetation indices for monitoring terrestrial ecosystems globally
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
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 …
in terrestrial vegetation science, with emerging capability in space-based methodologies …
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years
Quantifying ecosystem carbon fluxes and stocks is essential for better understanding the
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …
global carbon cycle and improving projections of the carbon-climate feedbacks. Remote …
Integrating multi-source data for rice yield prediction across China using machine learning and deep learning approaches
Timely and reliable yield prediction at a large scale is imperative and prerequisite to prevent
climate risk and ensure food security, especially with climate change and increasing …
climate risk and ensure food security, especially with climate change and increasing …
Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
Wheat is the most important staple crop grown in Australia, and Australia is one of the top
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …
OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence
INTRODUCTION Reliable estimation of gross primary production (GPP) from landscape to
global scales is pivotal to a wide range of ecological research areas, such as carbon-climate …
global scales is pivotal to a wide range of ecological research areas, such as carbon-climate …
Global retrievals of solar‐induced chlorophyll fluorescence with TROPOMI: First results and intersensor comparison to OCO‐2
In recent years, solar‐induced chlorophyll fluorescence (SIF) retrieved from spaceborne
spectrometers has been extensively used as a proxy for terrestrial photosynthesis at …
spectrometers has been extensively used as a proxy for terrestrial photosynthesis at …
Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for …
Abstract The Orbiting Carbon Observatory-2 (OCO-2), launched in July 2014, is capable of
measuring Solar-Induced chlorophyll Fluorescence (SIF), a functional proxy for terrestrial …
measuring Solar-Induced chlorophyll Fluorescence (SIF), a functional proxy for terrestrial …
Solar‐induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO‐2 and …
Solar‐induced chlorophyll fluorescence (SIF) has been increasingly used as a proxy for
terrestrial gross primary productivity (GPP). Previous work mainly evaluated the relationship …
terrestrial gross primary productivity (GPP). Previous work mainly evaluated the relationship …
[HTML][HTML] The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission
The first satellite-based global retrievals of terrestrial sun-induced chlorophyll fluorescence
(SIF) were achieved in 2011. Since then, a number of global SIF datasets with different …
(SIF) were achieved in 2011. Since then, a number of global SIF datasets with different …