Estimation of crop water deficit through remote sensing in Central Luzon, Philippines. - Moshin Hafeez; Yann H. Chemin; Nick van de Giesen; B. A. M. Bouman (IGARSS, 2002)

Hydrotope-Based Protocol to Determine Average Soil Moisture Over Large Areas for Satellite Calibration and Validation With Results From an Observation Campaign in the Volta Basin, West Africa. - Jan Friesen; Charles Rodgers; Philip G. Oguntunde; Jan M. H. Hendrickx; Nick van de Giesen (IEEE Trans. Geosci. Remote. Sens., 2008)

Scatterometer-Derived Soil Moisture Calibrated for Soil Texture With a One-Dimensional Water-Flow Model. - Remko de Lange; Rob Beck; Nick van de Giesen; Jan Friesen; Allard de Wit; Wolfgang Wagner 001 (IEEE Trans. Geosci. Remote. Sens., 2008)

Suitability and Limitations of ENVISAT ASAR for Monitoring Small Reservoirs in a Semiarid Area. - Jens R. Liebe; Nick van de Giesen; Marc S. Andreini; Tammo S. Steenhuis; M. Todd Walter (IEEE Trans. Geosci. Remote. Sens., 2009)

Calibrating Single-Ended Fiber-Optic Raman Spectra Distributed Temperature Sensing Data. - Mark B. Hausner; Francisco Suárez; Kenneth E. Glander; Nick van de Giesen; John S. Selker; Scott W. Tyler (Sensors, 2011)

Double-Ended Calibration of Fiber-Optic Raman Spectra Distributed Temperature Sensing Data. - Nick van de Giesen; Susan C. Steele-Dunne; Jop Jansen; Olivier Hoes; Mark B. Hausner; Scott W. Tyler; John S. Selker (Sensors, 2012)

Diurnal Differences in Global ERS Scatterometer Backscatter Observations of the Land Surface. - Jan Friesen; Susan C. Steele-Dunne; Nick van de Giesen (IEEE Trans. Geosci. Remote. Sens., 2012)

Using Diurnal Variation in Backscatter to Detect Vegetation Water Stress. - Susan C. Steele-Dunne; Jan Friesen; Nick van de Giesen (IEEE Trans. Geosci. Remote. Sens., 2012)

HydroZIP: How Hydrological Knowledge can Be Used to Improve Compression of Hydrological Data. - Steven V. Weijs; Nick van de Giesen; Marc B. Parlange (Entropy, 2013)

Model reduction in model predictive control of combined water quantity and quality in open channels. - Min Xu; Peter-Jules van Overloop; Nick van de Giesen (Environ. Model. Softw., 2013)

Remotely Sensed Monitoring of Small Reservoir Dynamics: A Bayesian Approach. - Dirk Eilander; Frank O. Annor; Lorenzo Iannini; Nick van de Giesen (Remote. Sens., 2014)

A comparison between leaf dielectric properties of stressed and unstressed tomato plants. - Tim van Emmerik; Susan C. Steele-Dunne; Jasmeet Judge; Nick van de Giesen (IGARSS, 2015)

Impact of Diurnal Variation in Vegetation Water Content on Radar Backscatter From Maize During Water Stress. - Tim van Emmerik; Susan C. Steele-Dunne; Jasmeet Judge; Nick van de Giesen (IEEE Trans. Geosci. Remote. Sens., 2015)

The eWaterCycle project. - Niels Drost; Rolf Hut; Maarten A. J. van Meersbergen; Edwin H. Sutanudjaja; Marc F. P. Bierkens; Nick van de Giesen (eScience, 2016)

Can urban pluvial flooding be predicted by open spatial data and weather data? - S. Gaitan; Nick van de Giesen; J. A. E. ten Veldhuis (Environ. Model. Softw., 2016)

A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia. - Gennadiy Donchyts; Jaap Schellekens; Hessel Winsemius; Elmar Eisemann; Nick van de Giesen (Remote. Sens., 2016)

Dielectric Response of Corn Leaves to Water Stress. - Tim van Emmerik; Susan C. Steele-Dunne; Jasmeet Judge; Nick van de Giesen (IEEE Geosci. Remote. Sens. Lett., 2017)

The Impacts of Heating Strategy on Soil Moisture Estimation Using Actively Heated Fiber Optics. - Jianzhi Dong; Rosa Agliata; Susan C. Steele-Dunne; Olivier Hoes; Thom Bogaard; Roberto Greco; Nick van de Giesen (Sensors, 2017)

Measuring Tree Properties and Responses Using Low-Cost Accelerometers. - Tim van Emmerik; Susan C. Steele-Dunne; Rolf Hut; Pierre Gentine; Marceau Guerin; Rafael S. Oliveira; Jim Wagner; John S. Selker; Nick van de Giesen (Sensors, 2017)

eWaterCycle II. - Rolf Hut; Niels Drost; Willem Van Hage; Nick van de Giesen (eScience, 2018)

The effects of small water surfaces on turbulent flow in the atmospheric boundary layer: URANS approach implemented in OpenFOAM. - Ali Abbasi 005; Frank O. Annor; Nick van de Giesen (Environ. Model. Softw., 2018)

Potential of Cost-Efficient Single Frequency GNSS Receivers for Water Vapor Monitoring. - Andreas Krietemeyer; Marie-claire ten Veldhuis; Hans van der Marel; Eugenio Realini; Nick van de Giesen (Remote. Sens., 2018)

Correcting Position Error in Precipitation Data Using Image Morphing. - Camille Le Coz; Arnold W. Heemink; Martin Verlaan; Marie-claire ten Veldhuis; Nick van de Giesen (Remote. Sens., 2019)

High Quality Zenith Tropospheric Delay Estimation Using a Low-Cost Dual-Frequency Receiver and Relative Antenna Calibration. - Andreas Krietemeyer; Hans van der Marel; Nick van de Giesen; Marie-claire ten Veldhuis (Remote. Sens., 2020)

Precipitation Regime Classification Based on Cloud-Top Temperature Time Series for Spatially-Varied Parameterization of Precipitation Models. - Sha Lu; Marie-claire ten Veldhuis; Nick van de Giesen; Arnold W. Heemink; Martin Verlaan (Remote. Sens., 2020)

A Field Calibration Solution to Achieve High-Grade-Level Performance for Low-Cost Dual-Frequency GNSS Receiver and Antennas. - Andreas Krietemeyer; Hans van der Marel; Nick van de Giesen; Marie-claire ten Veldhuis (Sensors, 2022)

Closed-loop simulation testing of a probabilistic DR framework for Day Ahead Market participation applied to Battery Energy Storage Systems. - Ties Van Der Heijden; Peter Palensky; Nick van de Giesen; Edo Abraham (ISIE, 2023)

The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna. - Mónica Estébanez-Camarena; Riccardo Taormina; Nick van de Giesen; Marie-claire ten Veldhuis (Remote. Sens., 2023)