Andrew D. Richardson
Orcid: 0000-0002-0148-6714Affiliations:
- 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:
Collaborative distances:
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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
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
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