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A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration

, , , , and . Hydrology and Earth System Sciences, 25 (11): 6041--6066 (November 2021)Publisher: Copernicus GmbH.
DOI: 10.5194/hess-25-6041-2021

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Monitoring Arctic landscape variation by pole and kite mounted cameras., , , and . Image Processing: Machine Vision Applications, volume 9405 of SPIE Proceedings, page 940505. SPIE, (2015)Minimizing Power Consumption in Networks of Environmental Sensor Arrays using TDD LoRa and Delta Encoding., and . ACSCC, page 318-323. IEEE, (2021)A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration, , , , and . Hydrology and Earth System Sciences, 25 (11): 6041--6066 (November 2021)Publisher: Copernicus GmbH.Quantification of Arctic Soil and Permafrost Properties Using Ground-Penetrating Radar and Electrical Resistivity Tomography Datasets., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (10): 4348-4359 (2017)Characterizing Snowpack with 60 GHz FMCW Millimeter-Wave Radar Sensors., , , , , , and . ACSSC, page 1245-1250. IEEE, (2023)A Local LoRa Based Network Protocol with Low Power Redundant Base Stations Enabling Remote Environmental Monitoring., and . ACSSC, page 520-523. IEEE, (2020)TDD LoRa and Delta Encoding in Low-Power Networks of Environmental Sensor Arrays for Temperature and Deformation Monitoring., , , and . J. Signal Process. Syst., 95 (7): 831-843 (July 2023)