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Rasmus Houborg
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2020 – today
- 2024
- [j14]Matias F. Lucero, Carlos Hernández, Ana J. P. Carcedo, Ariel Zajdband, Pierre C. Guillevic, Rasmus Houborg, Kevin J. Hamilton, Ignacio Antonio Ciampitti:
Enhancing Alfalfa Biomass Prediction: An Innovative Framework Using Remote Sensing Data. Remote. Sens. 16(18): 3379 (2024) - 2022
- [j13]Luciana Nieto, Rasmus Houborg, Ariel Zajdband, Arin Jumpasut, P. V. Vara Prasad, Brad J. S. C. Olson, Ignacio Antonio Ciampitti:
Impact of High-Cadence Earth Observation in Maize Crop Phenology Classification. Remote. Sens. 14(3): 469 (2022) - [c11]Keely L. Roth, Rasmus Houborg, Sarah Shivers, Justin Haag, Paul Giuliano:
Generating Reliable Higher Level Hyperspectral Data Products: A Framework for Driving Upstream Processing Decisions. IGARSS 2022: 7252-7255 - 2021
- [j12]Sihem Châabouni, Abdelaziz Kallel, Rasmus Houborg:
Improving retrieval of crop biophysical properties in dryland areas using a multi-scale variational RTM inversion approach. Int. J. Appl. Earth Obs. Geoinformation 94: 102220 (2021) - 2020
- [j11]Dennis L. Helder, Cody Anderson, Keith Beckett, Rasmus Houborg, Ignacio Zuleta, Valentina Boccia, Sébastien Clerc, Michele Kuester, Brian L. Markham, Mary Pagnutti:
Observations and Recommendations for Coordinated Calibration Activities of Government and Commercial Optical Satellite Systems. Remote. Sens. 12(15): 2468 (2020)
2010 – 2019
- 2019
- [j10]Syed Haleem Shah, Yoseline Angel, Rasmus Houborg, Shawkat Ali, Matthew F. McCabe:
A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat. Remote. Sens. 11(8): 920 (2019) - [j9]Yoseline Angel, Rasmus Houborg, Matthew F. McCabe:
Reconstructing Cloud Contaminated Pixels Using Spatiotemporal Covariance Functions and Multitemporal Hyperspectral Imagery. Remote. Sens. 11(10): 1145 (2019) - 2018
- [j8]Rasmus Houborg, Matthew F. McCabe:
Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data. Remote. Sens. 10(6): 890 (2018) - [j7]Bruno Aragon, Rasmus Houborg, Kevin Tu, Joshua B. Fisher, Matthew F. McCabe:
CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture. Remote. Sens. 10(12): 1867 (2018) - 2017
- [j6]Jorge Rosas, Rasmus Houborg, Matthew F. McCabe:
Sensitivity of Landsat 8 Surface Temperature Estimates to Atmospheric Profile Data: A Study Using MODTRAN in Dryland Irrigated Systems. Remote. Sens. 9(10): 988 (2017) - [c10]Rasmus Houborg, Matthew F. McCabe, Yoseline Angel, Elizabeth M. Middleton:
Time series from hyperion to track productivity in pivot agriculture in saudi arabia. IGARSS 2017: 3047-3050 - 2016
- [j5]Rasmus Houborg, Matthew F. McCabe, Feng Gao:
A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI). Int. J. Appl. Earth Obs. Geoinformation 47: 15-29 (2016) - [j4]Rasmus Houborg, Matthew F. McCabe:
High-Resolution NDVI from Planet's Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture. Remote. Sens. 8(9): 768 (2016) - 2015
- [j3]Rasmus Houborg, Joshua B. Fisher, Andrew K. Skidmore:
Advances in remote sensing of vegetation function and traits. Int. J. Appl. Earth Obs. Geoinformation 43: 1-6 (2015) - [j2]Rasmus Houborg, Matthew F. McCabe, Alessandro Cescatti, Anatoly A. Gitelson:
Leaf chlorophyll constraint on model simulated gross primary productivity in agricultural systems. Int. J. Appl. Earth Obs. Geoinformation 43: 160-176 (2015) - [c9]Matthew F. McCabe, Rasmus Houborg, Jorge Rosas, Ali Ershadi, Martha C. Anderson, Christopher Hain:
Towards a satellite based system for monitoring agricultural water use: A case study for Saudi Arabia. IGARSS 2015: 862-865 - [c8]Rasmus Houborg, Matthew F. McCabe, Feng Gao:
Downscaling of coarse resolution LAI products to achieve both high spatial and temporal resolution for regions of interest. IGARSS 2015: 3317-3320 - 2014
- [j1]Feng Gao, Martha C. Anderson, William P. Kustas, Rasmus Houborg:
Retrieving Leaf Area Index From Landsat Using MODIS LAI Products and Field Measurements. IEEE Geosci. Remote. Sens. Lett. 11(4): 773-777 (2014) - 2013
- [c7]Rasmus Houborg, Alessandro Cescatti, Anatoly A. Gitelson:
Integrating satellite retrieved leaf chlorophyll into land surface models for constraining simulations of water and carbon fluxes. IGARSS 2013: 2129-2132 - 2012
- [c6]Rasmus Houborg, Alessandro Cescatti, Mirco Migliavacca:
Constraining model simulations of GPP using satellite retrieved leaf chlorophyll. IGARSS 2012: 6455-6458 - [c5]Rasmus Houborg, Martha C. Anderson, Feng Gao, Mitchell Schull, Carmelo Cammalleri:
Monitoring water and carbon fluxes at fine spatial scales using HyspIRI-like measurements. IGARSS 2012: 7302-7305 - [c4]Mitchell Schull, Martha C. Anderson, Rasmus Houborg, William P. Kustas:
On the relationship between nominal light use efficiency and leaf chlorophyll. IGARSS 2012: 7306-7308 - 2010
- [c3]Rasmus Houborg, Matthew Rodell, Jay Lawrimore, Bailing Li, Rolf Reichle, Richard Heim, Matthew Rosencrans, Rich Tinker, James S. Famiglietti, Mark Svoboda, Brian D. Wardlow, Benjamin F. Zaitchik:
Using enhanced GRACE water storage data to improve drought detection by the U.S. and North American Drought Monitors. IGARSS 2010: 710-713 - [c2]Rasmus Houborg, Martha C. Anderson, William P. Kustas, Matthew Rodell:
Combining observations in the reflective solar and thermal domains for improved mapping of carbon, water and energy fluxes. IGARSS 2010: 2648-2651
2000 – 2009
- 2008
- [c1]Rasmus Houborg, Martha C. Anderson:
Utility of an Image-Based Canopy Reflectance Modeling Tool for Remote Estimation of LAI and Leaf Chlorophyll Content in Crop Systems. IGARSS (2) 2008: 141-144
Coauthor Index
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