Search Results - "McCabe, Matthew"

A Cubesat enabled Spatio-Temporal Enhancement Method (CESTEM) utilizing Planet, Landsat and MODIS data by Houborg, Rasmus, McCabe, Matthew F.

“…Satellite sensing in the visible to near-infrared (VNIR) domain has been the backbone of land surface monitoring and characterization for more than four…”
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Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future by Jiao, Wenzhe, Wang, Lixin, McCabe, Matthew F.

“…Satellite based remote sensing offers one of the few approaches able to monitor the spatial and temporal development of regional to continental scale droughts…”
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High-Resolution NDVI from Planet’s Constellation of Earth Observing Nano-Satellites: A New Data Source for Precision Agriculture by Houborg, Rasmus, McCabe, Matthew

“…Planet Labs (“Planet”) operate the largest fleet of active nano-satellites in orbit, offering an unprecedented monitoring capacity of daily and global RGB…”
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Response of Chlorophyll, Carotenoid and SPAD-502 Measurement to Salinity and Nutrient Stress in Wheat (Triticum aestivum L.) by Shah, Syed, Houborg, Rasmus, McCabe, Matthew

“…Abiotic stress can alter key physiological constituents and functions in green plants. Improving the capacity to monitor this response in a non-destructive…”
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Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data by Houborg, Rasmus, McCabe, Matthew

“…Constellations of CubeSats are emerging as a novel observational resource with the potential to overcome the spatiotemporal constraints of conventional…”
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Using Multi-Spectral UAV Imagery to Extract Tree Crop Structural Properties and Assess Pruning Effects by Johansen, Kasper, Raharjo, Tri, McCabe, Matthew

“…Unmanned aerial vehicles (UAV) provide an unprecedented capacity to monitor the development and dynamics of tree growth and structure through time. It is…”
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Gap-Filling of Landsat 7 Imagery Using the Direct Sampling Method by Yin, Gaohong, Mariethoz, Gregoire, McCabe, Matthew F

“…The failure of the Scan Line Corrector (SLC) on Landsat 7 imposed systematic data gaps on retrieved imagery and removed the capacity to provide spatially…”
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A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat by Shah, Syed Haleem, Angel, Yoseline, Houborg, Rasmus, Ali, Shawkat, McCabe, Matthew F.

“…Developing rapid and non-destructive methods for chlorophyll estimation over large spatial areas is a topic of much interest, as it would provide an indirect…”
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Use of unmanned aerial vehicles for efficient beach litter monitoring by Martin, Cecilia, Parkes, Stephen, Zhang, Qiannan, Zhang, Xiangliang, McCabe, Matthew F., Duarte, Carlos M.

“…A global beach litter assessment is challenged by use of low-efficiency methodologies and incomparable protocols that impede data integration and acquisition…”
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On the Use of Unmanned Aerial Systems for Environmental Monitoring by Manfreda, Salvatore, McCabe, Matthew, Miller, Pauline, Lucas, Richard, Pajuelo Madrigal, Victor, Mallinis, Giorgos, Ben Dor, Eyal, Helman, David, Estes, Lyndon, Ciraolo, Giuseppe, Müllerová, Jana, Tauro, Flavia, de Lima, M., de Lima, João, Maltese, Antonino, Frances, Felix, Caylor, Kelly, Kohv, Marko, Perks, Matthew, Ruiz-Pérez, Guiomar, Su, Zhongbo, Vico, Giulia, Toth, Brigitta

“…Environmental monitoring plays a central role in diagnosing climate and management impacts on natural and agricultural systems; enhancing the understanding of…”
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Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC) by Houborg, Rasmus, McCabe, Matthew, Cescatti, Alessandro, Gao, Feng, Schull, Mitchell, Gitelson, Anatoly

“…Leaf area index (LAI) and leaf chlorophyll content (Chll) represent key biophysical and biochemical controls on water, energy and carbon exchange processes in…”
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Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data by Ma, Chunfeng, Li, Xin, McCabe, Matthew F.

“…Estimating soil moisture based on synthetic aperture radar (SAR) data remains challenging due to the influences of vegetation and surface roughness. Here we…”
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Machine Learning Strategies for the Retrieval of Leaf-Chlorophyll Dynamics: Model Choice, Sequential Versus Retraining Learning, and Hyperspectral Predictors by Angel, Yoseline, McCabe, Matthew F

“…Monitoring leaf Chlorophyll (Chl) is labor-intensive, limiting representative sampling for detailed mapping of Chl variability at field scales across time…”
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Digital insights: bridging the phenotype-to-genotype divide by McCabe, Matthew F, Tester, Mark

“…This article comments on: Han R, Wong AJY, Tang Z, Truco MJ, Lavelle DO, Kozik A, Jin Y, Michelmore R. 2021. Drone phenotyping and machine learning enable…”
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Elevated CO2 as a driver of global dryland greening by Lu, Xuefei, Wang, Lixin, McCabe, Matthew F.

“…While recent findings based on satellite records indicate a positive trend in vegetation greenness over global drylands, the reasons remain elusive. We…”
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Intra-Season Crop Height Variability at Commercial Farm Scales Using a Fixed-Wing UAV by Ziliani, Matteo, Parkes, Stephen, Hoteit, Ibrahim, McCabe, Matthew

“…Monitoring the development of vegetation height through time provides a key indicator of crop health and overall condition. Traditional manual approaches for…”
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The Future of Evapotranspiration: Global Requirements for Ecosystem Functioning, Carbon and Climate Feedbacks, Agricultural Management, and Water Resources by Fisher, Joshua B., Melton, Forrest, Middleton, Elizabeth, Hain, Christopher, Anderson, Martha, Allen, Richard, McCabe, Matthew F., Hook, Simon, Baldocchi, Dennis, Townsend, Philip A., Kilic, Ayse, Tu, Kevin, Miralles, Diego D., Perret, Johan, Lagouarde, Jean-Pierre, Waliser, Duane, Purdy, Adam J., French, Andrew, Schimel, David, Famiglietti, James, Stephens, Graeme, Wood, Eric F.

“…The fate of the terrestrial biosphere is highly uncertain given recent and projected changes in climate. This is especially acute for impacts associated with…”
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Adapting a regularized canopy reflectance model (REGFLEC) for the retrieval challenges of dryland agricultural systems by Houborg, Rasmus, McCabe, Matthew F.

“…A regularized canopy reflectance model (REGFLEC) is applied over a dryland irrigated agricultural system in Saudi Arabia for the purpose of retrieving leaf…”
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Capturing the Diurnal Cycle of Land Surface Temperature Using an Unmanned Aerial Vehicle by Malbéteau, Yoann, Parkes, Stephen, Aragon, Bruno, Rosas, Jorge, McCabe, Matthew

“…Characterizing the land surface temperature (LST) and its diurnal cycle is important in understanding a range of surface properties, including soil moisture…”
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A multi‐decadal assessment of the performance of gauge‐ and model‐based rainfall products over Saudi Arabia: climatology, anomalies and trends by El Kenawy, Ahmed M., McCabe, Matthew F.

“…ABSTRACT Many arid and semi‐arid regions have sparse precipitation observing networks, which limits the capacity for detailed hydrological modelling, water…”
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