Debsunder Dutta
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View article: From Semi-Mechanistic Model to Explainable Machine Learning: A New Approach to Evapotranspiration Estimation
From Semi-Mechanistic Model to Explainable Machine Learning: A New Approach to Evapotranspiration Estimation Open
Accurate estimation of evapotranspiration (ET) is critical for understanding the terrestrial water and energy cycles, especially under the context of climate change and its impact on vegetation dynamics. Traditional semi-mechanistic models…
View article: Solar‐Induced Chlorophyll Fluorescence Yield Holds the Potential for Drought Early Warning
Solar‐Induced Chlorophyll Fluorescence Yield Holds the Potential for Drought Early Warning Open
Early detection of emerging agricultural drought conditions is challenging but crucial for ensuring sustainable agriculture and global food security. Existing drought early warning systems utilize hydrometeorological or greenness‐based veg…
View article: Evaluating the Interplay Between Soil Moisture and Meteorological Drought Indicators: Implications for Drought Monitoring and Crop Productivity in India
Evaluating the Interplay Between Soil Moisture and Meteorological Drought Indicators: Implications for Drought Monitoring and Crop Productivity in India Open
Drought is a recurring and complex climatic event that can severely impact various sectors, including agriculture. Agricultural drought assessment typically focuses on the deficiency of soil moisture during the growing season, while meteor…
View article: Characterising the Vertical Canopy Structure of Vegetation and its Impact on Radiation Regimes using Spaceborne LiDAR
Characterising the Vertical Canopy Structure of Vegetation and its Impact on Radiation Regimes using Spaceborne LiDAR Open
Forests are the most complex ecosystem on the planet and and play a crucial role in the exchange of mass and energy between the land surface and atmosphere. India's tropical region encompasses a diverse range of ecosystems, including deser…
View article: Retrieving Evapotranspiration based on realistic LST canopy distribution using Surface Energy Budget models in forward and inverse modes
Retrieving Evapotranspiration based on realistic LST canopy distribution using Surface Energy Budget models in forward and inverse modes Open
International audience
View article: The spatio-temporal dynamics of the relationship between gross primary productivity and solar induced chlorophyll fluorescence across the agricultural ecosystem of India
The spatio-temporal dynamics of the relationship between gross primary productivity and solar induced chlorophyll fluorescence across the agricultural ecosystem of India Open
Food security is dependent on agriculture as such prediction and monitoring of crop yield is of essential importance. Crop productivity primarily depends upon its potential to transmute light energy to sugar through photosynthesis and the …
View article: Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest
Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest Open
Photosynthesis by terrestrial plants represents the majority of CO2 uptake on Earth, yet it is difficult to measure directly from space. Estimation of gross primary production (GPP) from remote sensing indices represents a primary source o…
View article: Tracking Seasonal and Interannual Variability in Photosynthetic Downregulation in Response to Water Stress at a Temperate Deciduous Forest
Tracking Seasonal and Interannual Variability in Photosynthetic Downregulation in Response to Water Stress at a Temperate Deciduous Forest Open
The understanding and modeling of photosynthetic dynamics affected by climate variability can be highly uncertain. In this paper, we examined a well‐characterized eddy covariance site in a drought‐prone temperate deciduous broadleaf forest…
View article: Remote Quantification of Land Surface Temperature and Evapotranspiration Using Thermal Infrared Observations from Unmanned Aerial Systems
Remote Quantification of Land Surface Temperature and Evapotranspiration Using Thermal Infrared Observations from Unmanned Aerial Systems Open
<p>Thermal infrared (TIR) remote sensing has a wide array of applications in the environmental sciences, but such applications often require absolute temperature estimates with a high degree of accuracy. Low cost microbolometer-based…
View article: From the Ground to Space: Using Solar‐Induced Chlorophyll Fluorescence to Estimate Crop Productivity
From the Ground to Space: Using Solar‐Induced Chlorophyll Fluorescence to Estimate Crop Productivity Open
Timely and accurate monitoring of crops is essential for food security. Here, we examine how well solar‐induced chlorophyll fluorescence (SIF) can inform crop productivity across the United States. Based on tower‐level observations and pro…
View article: Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest
Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest Open
Photosynthesis by terrestrial plants represents the majority of CO2 uptake on Earth, yet it is difficult to measure directly from space. Estimating Gross Primary Production (GPP) from remote sensing indices is a primary source of uncertain…
View article: Supplementary material to "Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest"
Supplementary material to "Decomposing reflectance spectra to track gross primary production in a subalpine evergreen forest" Open
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View article: Disentangling Changes in the Spectral Shape of Chlorophyll Fluorescence: Implications for Remote Sensing of Photosynthesis
Disentangling Changes in the Spectral Shape of Chlorophyll Fluorescence: Implications for Remote Sensing of Photosynthesis Open
Novel satellite measurements of solar‐induced chlorophyll fluorescence (SIF) can improve our understanding of global photosynthesis; however, little is known about how to interpret the controls on its spectral variability. To address this,…
View article: Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes
Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes Open
Canopy structural and leaf photosynthesis parameterizations such as maximum carboxylation capacity (Vcmax), slope of the Ball–Berry stomatal conductance model (BBslope) and leaf area index (LAI) are crucial for modeling plant physiological…
View article: Optimal Inverse Estimation of Ecosystem Parameters fromObservations of Carbon and Energy Fluxes
Optimal Inverse Estimation of Ecosystem Parameters fromObservations of Carbon and Energy Fluxes Open
Canopy structural and leaf photosynthesis parameterizations such as maximum carboxylation capacity (Vcmax), slope of the Ball-Berry stomatal conductance model (BBslope) and leaf area index (LAI) are crucial for modeling the plant physiolog…
View article: Data from: Mississippi River Flood 2011 project
Data from: Mississippi River Flood 2011 project Open