Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling

This publication has 78 references indexed in Scilit:

• Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
  ISPRS Journal of Photogrammetry and Remote Sensing, 2012
• Global land-surface evaporation estimated from satellite-based observations
  Hydrology and Earth System Sciences, 2011
• Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic
  Remote Sensing Letters, 2010
• Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
  Remote Sensing of Environment, 2009
• Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites
  Remote Sensing of Environment, 2008
• Anthropogenically enhanced fluxes of water and carbon from the Mississippi River
  Nature, 2008
• Agricultural Productivity Growth, Rural Economic Diversity, and Economic Reforms: India, 1970–2000
  Economic Development and Cultural Change, 2004
• Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA
  Agriculture, Ecosystems & Environment, 2001
• A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation
  Journal of Hydrology, 1998
• A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing
  Remote Sensing of Environment, 1997