Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 61 checked references that resolve
resolves10.5589/m04-043Estimating soil moisture at the watershed scale with satellite-based radar and land surface models
resolves10.3390/s8052986Hydrologic Remote Sensing and Land Surface Data Assimilation
resolves10.1029/WR025i012p02437Use of remotely sensed soil moisture content as boundary conditions in soil‐atmosphere water transport modeling: 2. Estimating soil water balance
resolves10.1016/0022-1694(94)90056-6Assimilation of soil moisture inferred from infrared remote sensing in a hydrological model over the HAPEX-MOBILHY region
resolves10.1080/014311697217026A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface e
resolves10.3390/s7081612An Overview of the "Triangle Method" for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery
resolves10.1016/S0168-1923(00)00198-2The simulation of canopy transpiration under doubled CO2: The evidence and impact of feedbacks on transpiration in two 1-D soil-vegetation-atmosphere-transfer models
resolves10.1029/JC083iC04p01889Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation
resolves10.1007/BF01051131Simulation of nitrogen dynamics and biomass production in winter wheat using the Danish simulation model DAISY
resolves10.1080/02757258609532069Regional‐scale estimates of surface moisture availability and thermal inertia using remote thermal measurements
resolves10.1029/WR024i010p01818Comparison of active microwave soil water content with infrared surface temperatures and surface moisture availability
resolves10.1016/0304-3800(95)00110-7Will a doubling of atmospheric carbon dioxide concentration lead to an increase or a decrease in water consumption by crops?
resolves10.1046/j.1365-2486.1999.00280.xFeedback significantly influences the simulated effect of CO<sub>2</sub> on seasonal evapotranspiration from two agricultural species
resolves10.1046/j.1365-3040.1999.00486.xObservations and model simulations link stomatal inhibition to impaired hydraulic conductance following ozone exposure in cotton
resolves10.1080/01431168308948554Using midday surface temperature to estimate daily evaporation from satellite thermal IR data
resolves10.1016/0034-4257(81)90035-3The effects of surface heat flux on plume spread and concentration: an assessment based on remote measurements
resolves10.1109/36.58983Using spatial context in satellite data to infer regional scale evapotranspiration
resolves10.1080/014311697219286Multi-sensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site
resolves10.1016/0034-4257(94)90020-5Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index
resolves10.1080/01431169608949021The surface temperature-vegetation index space for land cover and land-cover change analysis
resolves10.1016/S0034-4257(01)00274-7A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status
resolves10.1029/92JD02111An overview of the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE)
resolves10.1029/97WR00617Decoupling of surface and near‐surface soil water content: A remote sensing perspective
resolves10.1016/0022-1694(94)90031-0Estimating near-surface soil moisture availability using a meteorologically driven soil-water profile model
resolves10.1080/014311698215171An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization
resolves10.1016/S0921-8181(00)00021-7The impact of land use — land cover changes due to urbanization on surface microclimate and hydrology: a satellite perspective
resolves10.1016/S0034-4257(99)00061-9A Global Terrestrial Monitoring Network Integrating Tower Fluxes, Flask Sampling, Ecosystem Modeling and EOS Satellite Data
resolves10.5589/m04-038Uncertainties in latent heat flux measurement and estimation: implications for using a simplified approach with remote sensing data
The 12 references without a DOI — listed, not checked
no DOI — not checkedVan Loon, E.E., and Troch, P.A. (2001). Soil-Vegetation-Atmosphere Transfer Schemes and Large-Scale Hydrological Models, IAHS Publ.. Nr. 270.
no DOI — not checkedOlioso, A. (1992). Simulation des 6changes d'6nergie et de masse d'un convert v6gandal, dans le but de relier ia transpiration et la photosynthese anx mesures de reflectance et de temp6rature de surface. [Doctorate Thesis, University de Montpellier II].
no DOI — not checkedGillies, R.R. (1993). A physically-based land use classification scheme using remote sensing solar and thermal infrared measurements suitable for describing urbanization. [PhD Thesis, University of Newcastle].
no DOI — not checkedHAPEX — Mobilhy: a hydrologic atmospheric experiment for the study of water budget and evaporation flux at the climatic scale
no DOI — not checkedLandsberg, J.J., and Cutting, C.V. (1977). Environmental Effects on Crop Physiology, Academic Press.
no DOI — not checkedLandsberg, J.J. (1986). Physiological Ecology of Forest Production. Chapter 7: Water Relations, Academic Press.
no DOI — not checkedUse of a land-surface-transfer scheme (LSX) in a global climate model: the response to doubling stomatal resistance
no DOI — not checkedRemote sensing of land surface evaporation (I) theoretical basis for an operational algorithm
no DOI — not checkedGillies, R.R., and Temesgen, B. (2000). Thermal Remote Sensing in Land surface Processes, CRC Press. Chapter 5.
no DOI — not checkedAn application of remotely-derived climatological fields for risk assessment of vector-borne diseases- A spatial study of filariasis prevalence in the Nile Delta, Egypt
no DOI — not checkedSaltelli, A., Chan, K., and Scott, E.M. (2000). Sensitivity Analysis, John Wiley & Sons, Inc.
no DOI — not checkedSaltelli, A., Tarantola, S., Campologno, F., and Ratto, M. (2004). Sensitivity analysis in practice: a guide to assessing scientific models, John Wiley & Sons, Inc.
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