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 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 …
A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning
Building height is a crucial variable in the study of urban environments, regional climates,
and human-environment interactions. However, high-resolution data on building height …
and human-environment interactions. However, high-resolution data on building height …
[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
Structural complexity biases vegetation greenness measures
Vegetation 'greenness' characterized by spectral vegetation indices (VIs) is an integrative
measure of vegetation leaf abundance, biochemical properties and pigment composition …
measure of vegetation leaf abundance, biochemical properties and pigment composition …
Evolution of light use efficiency models: Improvement, uncertainties, and implications
Light use efficiency (LUE) models have been widely used to estimate terrestrial gross
primary production (GPP) at local, regional, and global scales, which is vital for …
primary production (GPP) at local, regional, and global scales, which is vital for …
Drought impacts on terrestrial primary production underestimated by satellite monitoring
Satellite retrievals of information about the Earth's surface are widely used to monitor global
terrestrial photosynthesis and primary production and to examine the ecological impacts of …
terrestrial photosynthesis and primary production and to examine the ecological impacts of …
A global moderate resolution dataset of gross primary production of vegetation for 2000–2016
Accurate estimation of the gross primary production (GPP) of terrestrial vegetation is vital for
understanding the global carbon cycle and predicting future climate change. Multiple GPP …
understanding the global carbon cycle and predicting future climate change. Multiple GPP …
An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine
Accurate paddy rice mapping with remote sensing at a regional scale plays critical roles in
agriculture and ecology. Previous studies mainly employed a single key phenological period …
agriculture and ecology. Previous studies mainly employed a single key phenological period …
Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery
The ability to regionally monitor crop progress and condition through the growing season
benefits both crop management and yield estimation. In the United States, these metrics are …
benefits both crop management and yield estimation. In the United States, these metrics are …