Itiya Aneece

Global cropland-extent product at 30-m resolution (GCEP30) derived from Landsat satellite time-series data for the year 2015 using multiple machine-learning algorithms on Google Earth Engine cloud

Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Jun Xiong et al. · USGS professional paper · 2021 · 87 citations · Full text

Natural Sciences, Crop Sciences, Earth Sciences +17

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 Aneece et al. · International Journal of Digital Earth · 2019 · 83 citations · Full text

Agriculture, Agronomy, Crop Sciences +16

Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine

Itiya Aneece, Prasad S. Thenkabail · Remote Sensing · 2018 · 55 citations · Full text

Agriculture, Agronomy, Crop Sciences +14

Does the Document Matter? The Evolving Role of Syllabi in Higher Education

Michael S. Palmer, Lindsay B. Wheeler, Itiya Aneece · Change The Magazine of Higher Learning · 2016 · 44 citations

Education, Higher Education, Instruction +7

Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud

Itiya Aneece, Prasad S. Thenkabail · Remote Sensing · 2021 · 44 citations · Full text

Agriculture, Agronomy, Crop Sciences +17