Evaluating and comparing remote sensing terrestrial GPP models for their response to climate variability and CO2 trends

Z Sun, X Wang, X Zhang, H Tani, E Guo, S Yin… - Science of the total …, 2019 - Elsevier
Remote sensing (RS)-based models play an important role in estimating and monitoring
terrestrial ecosystem gross primary productivity (GPP). Several RS-based GPP models have …

A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation

M Cheng, D Yin, W Wu, N Cui, C Nie, L Shi… - … Journal of Remote …, 2023 - Taylor & Francis
The scarcity of water resources is one of the biggest problems restricting food production.
Crop water productivity (CWP) is a practical and quantifiable indicator for characterizing …

The essential role of biodiversity in the key axes of ecosystem function

P Yan, M Fernández‐Martínez… - Global Change …, 2023 - Wiley Online Library
Biodiversity is essential for maintaining the terrestrial ecosystem multifunctionality (EMF).
Recent studies have revealed that the variations in terrestrial ecosystem functions are …

High-resolution crop yield and water productivity dataset generated using random forest and remote sensing

M Cheng, X Jiao, L Shi, J Penuelas, L Kumar, C Nie… - Scientific data, 2022 - nature.com
Accurate and high-resolution crop yield and crop water productivity (CWP) datasets are
required to understand and predict spatiotemporal variation in agricultural production …

Response of ecosystem gross primary productivity to drought in northern China based on multi-source remote sensing data

T Zhang, J Zhou, P Yu, J Li, Y Kang, B Zhang - Journal of Hydrology, 2023 - Elsevier
Drought has become one of the main reasons for the loss of terrestrial ecosystems gross
primary productivity (GPP) because of its more frequent occurrence under the background of …

Anthropogenic contributions dominate trends of vegetation cover change over the farming-pastoral ecotone of northern China

Z Liu, Y Liu, Y Li - Ecological Indicators, 2018 - Elsevier
Separating anthropogenic contributions from observed vegetation change is helpful for
improving our understanding of the effects of human activities on regional ecosystems. In …

Evaluation of the latest MODIS GPP products across multiple biomes using global eddy covariance flux data

L Wang, H Zhu, A Lin, L Zou, W Qin, Q Du - Remote Sensing, 2017 - mdpi.com
The latest MODIS GPP (gross primary productivity) product, MOD17A2H, has great
advantages over the previous version, MOD17A2, because the resolution increased from …

Grassland productivity response to droughts in northern China monitored by satellite-based solar-induced chlorophyll fluorescence

X Wang, S Pan, N Pan, P Pan - Science of the Total Environment, 2022 - Elsevier
Solar-induced chlorophyll fluorescence (SIF) has been applied to a wide range of ecological
studies, such as monitoring and assessing drought, vegetation productivity, and crop yield …

[HTML][HTML] Capturing the spatiotemporal variations in the gross primary productivity in coastal wetlands by integrating eddy covariance, Landsat, and MODIS satellite …

Z Yang, Y Huang, Z Duan, J Tang - Ecological Indicators, 2023 - Elsevier
Accurate monitoring of the spatiotemporal variations in the gross primary productivity (GPP)
in coastal wetlands is essential for blue carbon quantification. However, the currently …

Performance of four state-of-the-art GPP products (VPM, MOD17, BESS and PML) for grasslands in drought years

Y Pei, J Dong, Y Zhang, J Yang, Y Zhang, C Jiang… - Ecological …, 2020 - Elsevier
Accurate estimation of gross primary production (GPP) is of significance for understanding
the changes of carbon uptake and its responses to extreme climate events like droughts …