Spatiotemporal patterns of terrestrial gross primary production: A review

A Anav, P Friedlingstein, C Beer, P Ciais… - Reviews of …, 2015 - Wiley Online Library
Great advances have been made in the last decade in quantifying and understanding the
spatiotemporal patterns of terrestrial gross primary production (GPP) with ground …

Evolution of evapotranspiration models using thermal and shortwave remote sensing data

JM Chen, J Liu - Remote Sensing of Environment, 2020 - Elsevier
Evapotranspiration (ET) from the land surface is an important component of the terrestrial
hydrological cycle. Since the advent of Earth observation by satellites, various models have …

Grazing and ecosystem service delivery in global drylands

FT Maestre, Y Le Bagousse-**uet… - Science, 2022 - science.org
Grazing represents the most extensive use of land worldwide. Yet its impacts on ecosystem
services remain uncertain because pervasive interactions between grazing pressure …

A unified vegetation index for quantifying the terrestrial biosphere

G Camps-Valls, M Campos-Taberner… - Science …, 2021 - science.org
Empirical vegetation indices derived from spectral reflectance data are widely used in
remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf …

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

Y Cai, K Guan, D Lobell, AB Potgieter, S Wang… - Agricultural and forest …, 2019 - Elsevier
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 …

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Y Cai, K Guan, J Peng, S Wang, C Seifert… - Remote sensing of …, 2018 - Elsevier
Accurate and timely spatial classification of crop types based on remote sensing data is
important for both scientific and practical purposes. Spatially explicit crop-type information …

Canopy near-infrared reflectance and terrestrial photosynthesis

G Badgley, CB Field, JA Berry - Science advances, 2017 - science.org
Global estimates of terrestrial gross primary production (GPP) remain highly uncertain,
despite decades of satellite measurements and intensive in situ monitoring. We report a new …

Leaf chlorophyll content as a proxy for leaf photosynthetic capacity

H Croft, JM Chen, X Luo, P Bartlett, B Chen… - Global change …, 2017 - Wiley Online Library
Improving the accuracy of estimates of forest carbon exchange is a central priority for
understanding ecosystem response to increased atmospheric CO 2 levels and improving …

La caracterización funcional de ecosistemas mediante sensores remotos

JM Paruelo - Ecosistemas, 2008 - revistaecosistemas.net
La caracterización funcional de ecosistemas mediante sensores remotos Page 1 http://www.revistaecosistemas.net/articulo.asp?Id=575
REVISIONES La caracterización funcional de ecosistemas mediante sensores remotos JM …

Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
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 …