A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades. - Daniel J. Foley; Prasad S. Thenkabail; Itiya P. Aneece; Pardhasaradhi Teluguntla; Adam J. Oliphant (Int. J. Digit. Earth, 2020)

New Generation and Old Generation Hyperspectral Remote Sensing Data and their Comparisons with Multispectral Data in the Study of Global Agriculture and Vegetation. - Prasad S. Thenkabail; Itiya P. Aneece; Pardhasaradhi Teluguntla; Adam J. Oliphant; Daniel J. Foley (IGARSS, 2022)

New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification. - Itiya P. Aneece; Daniel J. Foley; Prasad S. Thenkabail; Adam J. Oliphant; Pardhasaradhi Teluguntla (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings. - Daniel J. Foley; Prasad S. Thenkabail; Adam J. Oliphant; Itiya P. Aneece; Pardhasaradhi Teluguntla (Remote. Sens., 2023)

Automated Cropland Fallow Algorithm (ACFA) for the Northern Great Plains of USA. - Adam J. Oliphant; Prasad S. Thenkabail; Pardhasaradhi Teluguntla; Itiya P. Aneece; Daniel J. Foley; Richard L. McCormick (Int. J. Digit. Earth, 2024)