Satellite imagery is used to predict urban sprawl and its impact on surface hydrology. - Toby N. Carlson (IGARSS, 2002)

An Overview of the Use of the SimSphere Soil Vegetation Atmosphere Transfer (SVAT) Model for the Study of Land-Atmosphere Interactions. - George P. Petropoulos; Toby N. Carlson; Martin J. Wooster (Sensors, 2009)

Addressing the ability of a land biosphere model to predict key biophysical vegetation characterisation parameters with Global Sensitivity Analysis. - Gareth Ireland; George P. Petropoulos; Toby N. Carlson; Sarah Purdy (Environ. Model. Softw., 2015)

A modernized version of a 1D soil vegetation atmosphere transfer model for improving its future use in land surface interactions studies. - Vasileios Anagnostopoulos; George P. Petropoulos; Gareth Ireland; Toby N. Carlson (Environ. Model. Softw., 2017)

Coupling remote sensing with a water balance model for soybean yield predictions over large areas. - Daniela F. Silva Fuzzo; Toby N. Carlson; Nektarios N. Kourgialas; George P. Petropoulos (Earth Sci. Informatics, 2020)

A Brief Analysis of the Triangle Method and a Proposal for its Operational Implementation. - Toby N. Carlson (Remote. Sens., 2020)

Limitations in Validating Derived Soil Water Content from Thermal/Optical Measurements Using the Simplified Triangle Method. - Abba Aliyu Kasim; Toby Nahum Carlson; Haruna Shehu Usman (Remote. Sens., 2020)

Evaporative Fluxes and Surface Soil Moisture Retrievals in a Mediterranean Setting from Sentinel-3 and the "Simplified Triangle". - George P. Petropoulos; Ionut Cosmin Sandric; Dionissios T. Hristopulos; Toby N. Carlson (Remote. Sens., 2020)

The Right Triangle Model: Overcoming the Sparse Data Problem in Thermal/Optical Remote Sensing of Soil Moisture. - Toby N. Carlson (Remote. Sens., 2024)