Daniel A. Sims focuses on Environmental science, Remote sensing, Vegetation, Eddy covariance and Enhanced vegetation index. Environmental science and Ecosystem are two areas of study in which Daniel A. Sims engages in interdisciplinary work. His research combines Normalized Difference Vegetation Index and Remote sensing.
Daniel A. Sims works on Vegetation which deals in particular with Photochemical Reflectance Index. In his study, Photosynthetic pigment, Biological system and Xanthophyll is strongly linked to Red edge, which falls under the umbrella field of Photochemical Reflectance Index. His study looks at the intersection of Eddy covariance and topics like Photosynthetically active radiation with Carbon cycle and Biometeorology.
His main research concerns Environmental science, Remote sensing, Photosynthesis, Botany and Normalized Difference Vegetation Index. Daniel A. Sims has included themes like Photochemical Reflectance Index, Chaparral and Vegetation in his Remote sensing study. His work in Photochemical Reflectance Index addresses issues such as Red edge, which are connected to fields such as Xanthophyll, Biological system, Photosynthetic pigment, Anthocyanin and Chlorophyll.
His Photosynthesis research integrates issues from Carbon dioxide and Respiration. His Botany research is multidisciplinary, incorporating perspectives in Mesocosm and Animal science. His Normalized Difference Vegetation Index research includes themes of Canopy and Hyperspectral imaging.
His primary areas of investigation include Environmental science, Normalized Difference Vegetation Index, Deciduous, Remote sensing and Canopy. In his research, he undertakes multidisciplinary study on Environmental science and Moderate-resolution imaging spectroradiometer. His work in the fields of Photochemical Reflectance Index overlaps with other areas such as Enhanced vegetation index and Bidirectional reflectance distribution function.
His Deciduous research incorporates themes from Ecosystem and Agronomy. The concepts of his Remote sensing study are interwoven with issues in Carbon dioxide flux and Carbon flux. His Canopy research includes elements of Spectral signature, Terrestrial ecosystem, Vegetation and Stomatal conductance.
The scientist’s investigation covers issues in Remote sensing, Environmental science, Spatial ecology, Illumination angle and Cyberinfrastructure. Daniel A. Sims has included themes like Photochemical Reflectance Index and Normalized Difference Vegetation Index in his Remote sensing study. His Environmental science investigation overlaps with Bidirectional reflectance distribution function, Enhanced vegetation index, Water content, Carbon sink and Ecosystem.
Daniel A. Sims combines subjects such as Carbon dioxide flux and Carbon flux with his study of Spatial ecology.
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Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
Daniel A Sims;John A Gamon.
Remote Sensing of Environment (2002)
Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll absorption features
Daniel A Sims;John A Gamon.
Remote Sensing of Environment (2003)
The biochemical and molecular basis for photosynthetic acclimation to elevated atmospheric CO2
B. D. Moore;S.-H. Cheng;D. Sims;J. R. Seemann.
Plant Cell and Environment (1999)
A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS
Daniel A. Sims;Abdullah F. Rahman;Vicente D. Cordova;Bassil Z. El-Masri.
Remote Sensing of Environment (2008)
On the use of MODIS EVI to assess gross primary productivity of North American ecosystems
Daniel A. Sims;Abdullah F. Rahman;Vicente D. Cordova;Bassil Z. El-Masri.
Journal of Geophysical Research (2006)
Parallel adjustments in vegetation greenness and ecosystem CO2 exchange in response to drought in a Southern California chaparral ecosystem
Daniel A. Sims;Hongyan Luo;Steven Hastings;Walter C. Oechel.
Remote Sensing of Environment (2006)
Potential of MODIS EVI and surface temperature for directly estimating per‐pixel ecosystem C fluxes
Abdullah Rahman;Daniel A. Sims;Vicente D. Cordova;Bassil Z. El-Masri.
Geophysical Research Letters (2005)
Potential of MODIS ocean bands for estimating CO2 flux from terrestrial vegetation: A novel approach
Abdullah Rahman;Vicente D. Cordova;John A. Gamon;Hans Peter Schmid.
Geophysical Research Letters (2004)
Chronic water stress reduces tree growth and the carbon sink of deciduous hardwood forests.
Edward R. Brzostek;Danilo Dragoni;Hans Peter Schmid;Abdullah F. Rahman.
Global Change Biology (2014)
Optimum pixel size for hyperspectral studies of ecosystem function in southern California chaparral and grassland
Abdullah F. Rahman;John A. Gamon;Daniel A. Sims;Miriam Schmidts.
Remote Sensing of Environment (2003)
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