4.7 Article

Towards constraining soil and vegetation dynamics in land surface models: Modeling ASCAT backscatter incidence-angle dependence with a Deep Neural Network

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

The influence of surface canopy water on the relationship between L-band backscatter and biophysical variables in agricultural monitoring

S. Khabbazan et al.

Summary: The presence of surface water can increase radar backscatter, with a lesser effect on cross ratios and radar vegetation index. Dry vegetation shows higher correlations with radar observables compared to wet vegetation. Wet vegetation tends to have higher estimated vegetation optical depth values, leading to different fittings with vegetation water content compared to dry vegetation.

REMOTE SENSING OF ENVIRONMENT (2022)

Article Meteorology & Atmospheric Sciences

Statistical approaches to assimilate ASCAT soil moisture information-I. Methodologies and first assessment

Filipe Aires et al.

Summary: The study compares different methods for handling the relationship between satellite observations and land surface variables in complex land surface conditions, such as statistical relationships, CDF-matching, and neural networks. The results indicate that the choice of method should depend on the specific application, with the inversion approach appearing better suited for certain scenarios.

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2021)

Article Meteorology & Atmospheric Sciences

Representation of Plant Hydraulics in the Noah-MP Land Surface Model: Model Development and Multiscale Evaluation

Lingcheng Li et al.

Summary: In this paper, a novel plant hydraulics scheme (PHS) for land surface model Noah-MP (Noah-MP-PHS) is introduced, which shows improved representation of plant water stress and enhanced water and carbon simulations, especially under dry soil conditions. The PHS considers the whole-plant hydraulic strategy, including root-level soil water acquisition, stem-level hydraulic conductance and capacitance, and leaf-level anisohydricity and hydraulic capacitance.

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2021)

Article Environmental Sciences

Towards Including Dynamic Vegetation Parameters in the EUMETSAT H SAF ASCAT Soil Moisture Products

Susan C. Steele-Dunne et al.

Summary: The study utilized a kernel smoother to estimate coefficients for soil moisture retrieval, distinguishing between their use for backscatter normalization and vegetation correction. Results showed that using the kernel smoother can improve uncertainty caused by interannual variability in vegetation.

REMOTE SENSING (2021)

Article Meteorology & Atmospheric Sciences

The ERA5 global reanalysis

Hans Hersbach et al.

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2020)

Article Environmental Sciences

Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration

Yanlan Liu et al.

NATURE CLIMATE CHANGE (2020)

Article Environmental Sciences

Does ASCAT observe the spring reactivation in temperate deciduous broadleaf forests?

Isabella Pfeil et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Geosciences, Multidisciplinary

The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA)

Leander Moesinger et al.

EARTH SYSTEM SCIENCE DATA (2020)

Article Multidisciplinary Sciences

Deep learning and process understanding for data-driven Earth system science

Markus Reichstein et al.

NATURE (2019)

Review Plant Sciences

Macro to micro: microwave remote sensing of plant water content for physiology and ecology

Alexandra G. Konings et al.

NEW PHYTOLOGIST (2019)

Article Environmental Sciences

Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation

Clement Albergel et al.

REMOTE SENSING (2019)

Article Environmental Sciences

Investigating vegetation water dynamics and drought using Metop ASCAT over the North American Grasslands

Susan C. Steele-Dunne et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Environmental Sciences

SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact

Nemesio Rodriguez-Fernandez et al.

REMOTE SENSING (2019)

Article Environmental Sciences

Interpretation of ASCAT Radar Scatterometer Observations Over Land: A Case Study Over Southwestern France

Daniel Chiyeka Shamambo et al.

REMOTE SENSING (2019)

Review Biodiversity Conservation

Vegetation demographics in Earth System Models: A review of progress and priorities

Rosie A. Fisher et al.

GLOBAL CHANGE BIOLOGY (2018)

Article Multidisciplinary Sciences

Critical impact of vegetation physiology on the continental hydrologic cycle in response to increasing CO2

Leo Lemordant et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)

Article Environmental Sciences

Sensitivity of Sentinel-1 Backscatter to Vegetation Dynamics: An Austrian Case Study

Mariette Vreugdenhil et al.

REMOTE SENSING (2018)

Article Environmental Sciences

Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area

Delphine Jennifer Leroux et al.

REMOTE SENSING (2018)

Article Geosciences, Multidisciplinary

Water stress detection in the Amazon using radar

Tim van Emmerik et al.

GEOPHYSICAL RESEARCH LETTERS (2017)

Article Engineering, Electrical & Electronic

Dynamic Characterization of the Incidence Angle Dependence of Backscatter Using Metop ASCAT

Sebastian Hahn et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)

Review Engineering, Electrical & Electronic

A Review of the Applications of ASCAT Soil Moisture Products

Luca Brocca et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)

Article Environmental Sciences

L-band vegetation optical depth and effective scattering albedo estimation from SMAP

Alexandra G. Konings et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Article Multidisciplinary Sciences

Observational evidence for cloud cover enhancement over western European forests

Adriaan J. Teuling et al.

NATURE COMMUNICATIONS (2017)

Article Multidisciplinary Sciences

Plant water potential improves prediction of empirical stomatal models

William R. L. Anderegg et al.

PLOS ONE (2017)

Article Geosciences, Multidisciplinary

Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs. sequential data assimilation

Helene Dewaele et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2017)

Article Geosciences, Multidisciplinary

The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on streamflow simulations over France

David Fairbairn et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2017)

Article Meteorology & Atmospheric Sciences

A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products

Yumeng Tao et al.

JOURNAL OF HYDROMETEOROLOGY (2016)

Article Plant Sciences

Pragmatic hydraulic theory predicts stomatal responses to climatic water deficits

John S. Sperry et al.

NEW PHYTOLOGIST (2016)

Article Engineering, Electrical & Electronic

Using a Support Vector Machine and a Land Surface Model to Estimate Large-Scale Passive Microwave Brightness Temperatures Over Snow-Covered Land in North America

Barton A. Forman et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)

Article Geochemistry & Geophysics

Impact of Diurnal Variation in Vegetation Water Content on Radar Backscatter From Maize During Water Stress

Tim van Emmerik et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)

Review Computer Science, Artificial Intelligence

Deep learning in neural networks: An overview

Juergen Schmidhuber

NEURAL NETWORKS (2015)

Review Plant Sciences

What plant hydraulics can tell us about responses to climate-change droughts

John S. Sperry et al.

NEW PHYTOLOGIST (2015)

Article Geochemistry & Geophysics

Estimating Passive Microwave Brightness Temperature Over Snow-Covered Land in North America Using a Land Surface Model and an Artificial Neural Network

Barton A. Forman et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)

Article Meteorology & Atmospheric Sciences

Statistical Emulation of Climate Model Projections Based on Precomputed GCM Runs

Stefano Castruccio et al.

JOURNAL OF CLIMATE (2014)

Article Computer Science, Artificial Intelligence

On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Monica Bianchini et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2014)

Review Meteorology & Atmospheric Sciences

The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications

Wolfgang Wagner et al.

METEOROLOGISCHE ZEITSCHRIFT (2013)

Article Remote Sensing

Sensitivity analysis of X-band SAR to wheat and barley leaf area index in the Merguellil Basin

Giacomo Fontanelli et al.

REMOTE SENSING LETTERS (2013)

Article Meteorology & Atmospheric Sciences

Reconciling soil thermal and hydrological lower boundary conditions in land surface models

Bertrand Decharme et al.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2013)

Article Geosciences, Multidisciplinary

The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes

V. Masson et al.

GEOSCIENTIFIC MODEL DEVELOPMENT (2013)

Article Geochemistry & Geophysics

Diurnal Differences in Global ERS Scatterometer Backscatter Observations of the Land Surface

Jan Friesen et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)

Article Geochemistry & Geophysics

Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests

Alireza Tabatabaeenejad et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)

Article Geochemistry & Geophysics

Using Diurnal Variation in Backscatter to Detect Vegetation Water Stress

Susan C. Steele-Dunne et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2012)

Article Geosciences, Multidisciplinary

Global long-term passive microwave satellite-based retrievals of vegetation optical depth

Yi Y. Liu et al.

GEOPHYSICAL RESEARCH LETTERS (2011)

Article Geosciences, Multidisciplinary

Assimilation of ASCAT near- surface soil moisture into the SIM hydrological model over France

C. Draper et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2011)

Review Plant Sciences

An overview of models of stomatal conductance at the leaf level

Gaeelle Damour et al.

PLANT CELL AND ENVIRONMENT (2010)

Article Computer Science, Artificial Intelligence

Learning Deep Architectures for AI

Yoshua Bengio

FOUNDATIONS AND TRENDS IN MACHINE LEARNING (2009)

Article Agronomy

Modelling forest transpiration and CO2 fluxes -: response to soil moisture stress

JC Calvet et al.

AGRICULTURAL AND FOREST METEOROLOGY (2004)

Article Meteorology & Atmospheric Sciences

Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network Cloud Classification System

Y Hong et al.

JOURNAL OF APPLIED METEOROLOGY (2004)

Article Agricultural Engineering

Mapping root zone soil moisture using remotely sensed optical imagery

CA Scott et al.

JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING (2003)

Article Geochemistry & Geophysics

Multitemporal C-band radar measurements on wheat fields

F Mattia et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2003)

Article Environmental Sciences

Analysis of ERS wind scatterometer time series over Sahel (Mali)

L Jarlan et al.

REMOTE SENSING OF ENVIRONMENT (2002)

Article Agronomy

Modelling CO2-enrichment effects using an interactive vegetation SVAT scheme

JC Calvet et al.

AGRICULTURAL AND FOREST METEOROLOGY (2001)

Article Geochemistry & Geophysics

The relationship between the backscattering coefficient and the biomass of narrow and broad leaf crops

G Macelloni et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2001)

Article Geochemistry & Geophysics

Electromagnetic scattering from grassland Part II: Measurement and modeling results

JM Stiles et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2000)