Andrew D. Richardson

Orcid: 0000-0002-0148-6714

Affiliations:
  • Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, USA
  • Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, MA, USA


According to our database1, Andrew D. Richardson authored at least 14 papers between 2006 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Biological-based and remote sensing techniques to link vegetative and reproductive development and assess pollen emission in Mediterranean grasses.
Ecol. Informatics, 2022

2021
PS3: The Pheno-Synthesis software suite for integration and analysis of multi-scale, multi-platform phenological data.
Ecol. Informatics, 2021

2020
Forest Drought Response Index (ForDRI): A New Combined Model to Monitor Forest Drought in the Eastern United States.
Remote. Sens., 2020

Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data.
Remote. Sens., 2020

2019
Correction: Luo, Y.P. et al., Using Near-Infrared Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems. <i>Remote Sens.</i> 2018, <i>10</i>, 1293.
Remote. Sens., 2019

2018
Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems.
Remote. Sens., 2018

Novel Measurements of Fine-Scale Albedo: Using a Commercial Quadcopter to Measure Radiation Fluxes.
Remote. Sens., 2018

2017
Observing Spring and Fall Phenology in a Deciduous Forest with Aerial Drone Imagery.
Sensors, 2017

A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States.
Remote. Sens., 2017

Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem.
Remote. Sens., 2017

Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves.
Int. J. Appl. Earth Obs. Geoinformation, 2017

2016
Season Spotter: Using Citizen Science to Validate and Scale Plant Phenology from Near-Surface Remote Sensing.
Remote. Sens., 2016

2009
The global network of outdoor webcams: properties and applications.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

2006
Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations.
IEEE Trans. Geosci. Remote. Sens., 2006


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