Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python. - Xuesong Zhang; Peter Beeson; Robert Link; David H. Manowitz; Roberto César Izaurralde; Ali Sadeghi; Allison M. Thomson; Ritvik Sahajpal; Raghavan Srinivasan 001; Jeffrey G. Arnold (Environ. Model. Softw., 2013)

Harmonization and translation of crop modeling data to ensure interoperability. - Cheryl H. Porter; Chris Villalobos; Dean P. Holzworth; Roger Nelson; Jeffrey W. White; Ioannis N. Athanasiadis; Sander Janssen; Dominique Ripoche; Julien Cufi; Dirk Raes; Meng Zhang 007; Rob Knapen; et al. (Environ. Model. Softw., 2014)

Regional scale cropland carbon budgets: Evaluating a geospatial agricultural modeling system using inventory data. - Xuesong Zhang; Roberto César Izaurralde; David H. Manowitz; Ritvik Sahajpal; Tristram O. West; Allison M. Thomson; Min Xu 004; Kaiguang Zhao; Stephen D. LeDuc; Jimmy R. Williams (Environ. Model. Softw., 2015)

Isolating type-specific phenologies through spectral unmixing of satellite time series. - Jyoteshwar R. Nagol; Joseph O. Sexton; Anupam Anand; Ritvik Sahajpal; Thomas C. Edwards (Int. J. Digit. Earth, 2018)

GLM2_modified and Results as used in Ma et al: Global rules for translating land-use change (LUH2) to land-cover change for CMIP6 using GLM2, Geosci. Model Dev., 2020. - Lei Ma; Louise Chini; George C. Hurtt; Ritvik Sahajpal (Zenodo, 2019)

PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans. - Varaprasad Bandaru; Raghu Yaramasu; Koutilya PNVR; Jiaying He; Fernando Sedano; Ritvik Sahajpal; Brian D. Wardlow; Andrew E. Suyker; Chris Justice (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Monitoring intra and inter annual dynamics of forest degradation from charcoal production in Southern Africa with Sentinel - 2 imagery. - Fernando Sedano; Sá Lisboa; Laura Duncanson; Natasha Ribeiro; Almeida Sitoe; Ritvik Sahajpal; George C. Hurtt; Compton J. Tucker (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization. - Hannah Kerner; Ritvik Sahajpal; Sergii Skakun; Inbal Becker-Reshef; Brian Barker; Mehdi Hosseini; Estefania Puricelli; Patrick C. Gray (CoRR, 2020)

Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar. - Mehdi Hosseini; Hannah Rae Kerner; Ritvik Sahajpal; Estefania Puricelli; Yu-Hsiang Lu; Afolarin Fahd Lawal; Michael L. Humber; Mary Mitkish; Seth Meyer; Inbal Becker-Reshef (Remote. Sens., 2020)

Crop Yield Forecast at Field Scale Using Deep Neural Network Algorithm. - Mehdi Hosseini; Inbal Becker-Reshef; Ritvik Sahajpal; Lucas Fontana; Pedro Lafluf; Guillermo Leale; Estefania Puricelli; Sergii Skakun; Mauricio Varela (IGARSS, 2021)

Global Evaluation of the Ecosystem Demography Model (ED v3.0). - Lei Ma; George C. Hurtt; Lesley Ott; Ritvik Sahajpal; Justin Fisk; Rachel Lamb; Hao Tang; Steven A. Flanagan; Louise Chini; Abhishek Chatterjee; Joseph Sullivan (Zenodo, 2021)

Global evaluation of the Ecosystem Demography model (ED v3.0). - Lei Ma; George C. Hurtt; Lesley Ott; Ritvik Sahajpal; Justin Fisk; Rachel Lamb; Hao Tang; Steven A. Flanagan; Louise Chini; Abhishek Chatterjee; Joseph Sullivan (Zenodo, 2021)

Global evaluation of the Ecosystem Demography model (ED v3.0). - Lei Ma; George C. Hurtt; Lesley Ott; Ritvik Sahajpal; Justin Fisk; Rachel Lamb; Hao Tang; Steven A. Flanagan; Louise Chini; Abhishek Chatterjee; Joseph Sullivan (Zenodo, 2021)

Global evaluation of the Ecosystem Demography model (ED v3.0). - Lei Ma; George C. Hurtt; Lesley Ott; Ritvik Sahajpal; Justin Fisk; Rachel Lamb; Hao Tang; Steven A. Flanagan; Louise Chini; Abhishek Chatterjee; Joseph Sullivan (Zenodo, 2021)

Global evaluation of the Ecosystem Demography model (ED v3.0). - Lei Ma; George C. Hurtt; Lesley Ott; Ritvik Sahajpal; Justin Fisk; Rachel Lamb; Hao Tang; Steven A. Flanagan; Louise Chini; Abhishek Chatterjee; Joseph Sullivan (Zenodo, 2021)

Improve State-Level Wheat Yield Forecasts in Kazakhstan on GEOGLAM's EO Data by Leveraging A Simple Spatial-Aware Technique. - Anh Nhat Nhu; Ritvik Sahajpal; Christina Justice; Inbal Becker-Reshef (CoRR, 2023)