Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity

Exploring the Best-Matching Plant Traits and Environmental Factors for Vegetation Indices in Estimates of Global Gross Primary Productivity

As the largest source of uncertainty in carbon cycle studies, accurate quantification of gross primary productivity (GPP) is critical for the global carbon budget in the context of global climate change. Numerous vegetation indices (VIs) based on satellite data have participated in the construction...

Full description

Bibliographic Details
Main Authors:	Weiqing Zhao, Zaichun Zhu
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Remote Sensing
Subjects:	gross primary productivity solar-induced chlorophyll fluorescence leaf area index NIRv machine learning
Online Access:	https://www.mdpi.com/2072-4292/14/24/6316

Similar Items

Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data
by: Joanna Joiner, et al.
Published: (2018-08-01)

The Relationship of Gross Primary Productivity with NDVI Rather than Solar-Induced Chlorophyll Fluorescence Is Weakened under the Stress of Drought
by: Wenhui Zhao, et al.
Published: (2024-01-01)

Can vegetation index track the interannual variation in gross primary production of temperate deciduous forests?
by: Fan Liu, et al.
Published: (2021-07-01)

Evident influence of water availability on the relationship between solar-induced chlorophyll fluorescence and gross primary productivity in the alpine grasslands of the Tibetan Plateau
by: Zhoutao Zheng, et al.
Published: (2024-05-01)

Estimating the Applicability of NDVI and SIF to Gross Primary Productivity and Grain-Yield Monitoring in China
by: Zhaoqiang Zhou, et al.
Published: (2022-07-01)

Radiance-based NIRv as a proxy for GPP of corn and soybean
by: Genghong Wu, et al.
Published: (2020-01-01)

Estimating Global Gross Primary Production from Sun-Induced Chlorophyll Fluorescence Data and Auxiliary Information Using Machine Learning Methods
by: Yu Bai, et al.
Published: (2021-03-01)

Comparing Phenology of a Temperate Deciduous Forest Captured by Solar-Induced Fluorescence and Vegetation Indices
by: Trina Merrick, et al.
Published: (2023-10-01)

Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA
by: Paul C. Selmants, et al.
Published: (2023-08-01)

Monitoring Drought Effects on Vegetation Productivity Using Satellite Solar-Induced Chlorophyll Fluorescence
by: Lifu Zhang, et al.
Published: (2019-02-01)

First Investigation of the Relationship Between Solar-Induced Chlorophyll Fluorescence Observed by TanSat and Gross Primary Productivity
by: Shanshan Du, et al.
Published: (2021-01-01)

Comparison of Phenology Estimated From Monthly Vegetation Indices and Solar-Induced Chlorophyll Fluorescence in China
by: Xin Wang, et al.
Published: (2022-02-01)

Upscaling Solar-Induced Chlorophyll Fluorescence from an Instantaneous to Daily Scale Gives an Improved Estimation of the Gross Primary Productivity
by: Jiaochan Hu, et al.
Published: (2018-10-01)

Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China
by: Meng Li, et al.
Published: (2022-05-01)

Direct and Legacy Effects of Spring Temperature Anomalies on Seasonal Productivity in Northern Ecosystems
by: Hanna Marsh, et al.
Published: (2022-04-01)

The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades
by: Yue Chen, et al.
Published: (2023-01-01)

Site Characteristics Mediate the Relationship Between Forest Productivity and Satellite Measured Solar Induced Fluorescence
by: Theresia Yazbeck, et al.
Published: (2021-12-01)

Forests for forests: combining vegetation indices with solar-induced chlorophyll fluorescence in random forest models improves gross primary productivity prediction in the boreal forest
by: Zoe Amie Pierrat, et al.
Published: (2022-01-01)

Combining Sun-Induced Chlorophyll Fluorescence and Photochemical Reflectance Index Improves Diurnal Modeling of Gross Primary Productivity
by: Anke Schickling, et al.
Published: (2016-07-01)

SIFSpec: Measuring Solar-Induced Chlorophyll Fluorescence Observations for Remote Sensing of Photosynthesis
by: Shanshan Du, et al.
Published: (2019-07-01)

Detecting drought-induced GPP spatiotemporal variabilities with sun-induced chlorophyll fluorescence during the 2009/2010 droughts in China
by: Shiliu Chen, et al.
Published: (2021-02-01)

Effects of Low Temperature on the Relationship between Solar-Induced Chlorophyll Fluorescence and Gross Primary Productivity across Different Plant Function Types
by: Jidai Chen, et al.
Published: (2022-08-01)

SIF-Based GPP Is a Useful Index for Assessing Impacts of Drought on Vegetation: An Example of a Mega-Drought in Yunnan Province, China
by: Chuanhua Li, et al.
Published: (2022-03-01)

Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield
by: Yen-Ben Cheng, et al.
Published: (2013-12-01)

Non-linear correlations exist between solar-induced chlorophyll fluorescence and canopy photosynthesis in a subtropical evergreen forest in Southwest China
by: Yanan Wang, et al.
Published: (2023-12-01)

Investigating the Performance of Red and Far-Red SIF for Monitoring GPP of Alpine Meadow Ecosystems
by: Weina Duan, et al.
Published: (2022-06-01)

An Analysis of the Genetic Relation between Photosynthesis and Yield-Related Traits in Wheat
by: Qiang An, et al.
Published: (2022-04-01)

Far-Red Chlorophyll Fluorescence Radiance Tracks Photosynthetic Carbon Assimilation Efficiency of Dark Reactions
by: Zhunqiao Liu, et al.
Published: (2021-11-01)

Machine Learning‐Based Modeling of Vegetation Leaf Area Index and Gross Primary Productivity Across North America and Comparison With a Process‐Based Model
by: Zhicheng Zhang, et al.
Published: (2021-10-01)

Estimating Crop and Grass Productivity over the United States Using Satellite Solar-Induced Chlorophyll Fluorescence, Precipitation and Soil Moisture Data
by: Maryia Halubok, et al.
Published: (2020-10-01)

Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods
by: Wenquan Zhu, et al.
Published: (2024-12-01)

Increased Global Vegetation Productivity Despite Rising Atmospheric Dryness Over the Last Two Decades
by: Yang Song, et al.
Published: (2022-07-01)

CO<sub>2</sub> Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity
by: Ruonan Qiu, et al.
Published: (2020-04-01)

Association analysis of morpho-physiological traits in vegetable cowpea (Vigna unguiculata L. Walp.)
by: D. H. Detroja, D. M. Thakor, V. G. Baldaniya, N. V. Soni and P. C. Patel
Published: (2020-09-01)

Drought did not change the linear relationship between chlorophyll fluorescence and terrestrial gross primary production under universal biomes
by: Liping Jia, et al.
Published: (2023-06-01)

Improve the Performance of the Noah‐MP‐Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data
by: Tongren Xu, et al.
Published: (2021-07-01)

Combined use of LIDAR and hyperspectral measurements for remote sensing of fluorescence and vertical profile of canopies
by: A. Ounis, et al.
Published: (2016-02-01)

Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5
by: Rong Li, et al.
Published: (2022-03-01)

Light reacclimatization of lower leaves in C4 maize canopies grown at two planting densities
by: T. YABIKU, et al.
Published: (2020-06-01)

Reflectance and chlorophyll fluorescence-based retrieval of photosynthetic parameters improves the estimation of subtropical forest productivity
by: Muhammad Amir, et al.
Published: (2021-11-01)