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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 …
Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities
Drought is a common hydrometeorological phenomenon and a pervasive global hazard. As
our climate changes, it is likely that drought events will become more intense and frequent …
our climate changes, it is likely that drought events will become more intense and frequent …
[HTML][HTML] TRIMS LST: a daily 1 km all-weather land surface temperature dataset for China's landmass and surrounding areas (2000–2022)
Land surface temperature (LST) is a key variable within Earth's climate system and a
necessary input parameter required by numerous land–atmosphere models. It can be …
necessary input parameter required by numerous land–atmosphere models. It can be …
What is global photosynthesis? History, uncertainties and opportunities
Quantifying global terrestrial photosynthesis is essential to understanding the global carbon
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …
cycle and the climate system. Remote sensing has played a pivotal role in advancing our …
Amazon forest biogeography predicts resilience and vulnerability to drought
Amazonia contains the most extensive tropical forests on Earth, but Amazon carbon sinks of
atmospheric CO2 are declining, as deforestation and climate-change-associated droughts …
atmospheric CO2 are declining, as deforestation and climate-change-associated droughts …
A global seamless 1 km resolution daily land surface temperature dataset (2003–2020)
Land surface temperature (LST) is one of the most important and widely used parameter for
studying land surface processes. Moderate Resolution Imaging Spectroradiometer (MODIS) …
studying land surface processes. Moderate Resolution Imaging Spectroradiometer (MODIS) …
Advances in hyperspectral remote sensing of vegetation and agricultural crops
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Will remote sensing shape the next generation of species distribution models?
Two prominent limitations of species distribution models (SDM s) are spatial biases in
existing occurrence data and a lack of spatially explicit predictor variables to fully capture …
existing occurrence data and a lack of spatially explicit predictor variables to fully capture …
Development of a two-band enhanced vegetation index without a blue band
The enhanced vegetation index (EVI) was developed as a standard satellite vegetation
product for the Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS) …
product for the Terra and Aqua Moderate Resolution Imaging Spectroradiometers (MODIS) …
Analysis of monotonic greening and browning trends from global NDVI time-series
Remotely sensed vegetation indices are widely used to detect greening and browning
trends; especially the global coverage of time-series normalized difference vegetation index …
trends; especially the global coverage of time-series normalized difference vegetation index …