Itiya P. Aneece
Orcid: 0000-0002-1201-5459
According to our database1,
Itiya P. Aneece
authored at least 8 papers
between 2015 and 2023.
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Bibliography
2023
Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings.
Remote. Sens., October, 2023
2022
New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
New Generation and Old Generation Hyperspectral Remote Sensing Data and their Comparisons with Multispectral Data in the Study of Global Agriculture and Vegetation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud.
Remote. Sens., 2021
DESIS and PRISMA: A study of a new generation of spaceborne hyperspectral sensors in the study of world crops.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades.
Int. J. Digit. Earth, 2020
2018
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.
Remote. Sens., 2018
2015
Distinguishing Early Successional Plant Communities Using Ground-Level Hyperspectral Data.
Remote. Sens., 2015