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Itiya P. Aneece
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2020 – today
- 2023
- [j6]Daniel J. Foley
, Prasad S. Thenkabail
, Adam J. Oliphant
, Itiya P. Aneece
, Pardhasaradhi Teluguntla
:
Crop Water Productivity from Cloud-Based Landsat Helps Assess California's Water Savings. Remote. Sens. 15(19): 4894 (2023) - 2022
- [j5]Itiya P. Aneece
, Daniel J. Foley, Prasad S. Thenkabail, Adam J. Oliphant, Pardhasaradhi Teluguntla:
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. 15: 7846-7858 (2022) - [c2]Prasad S. Thenkabail, Itiya P. Aneece, Pardhasaradhi Teluguntla, Adam J. Oliphant, Daniel J. Foley:
New Generation and Old Generation Hyperspectral Remote Sensing Data and their Comparisons with Multispectral Data in the Study of Global Agriculture and Vegetation. IGARSS 2022: 5744-5745 - 2021
- [j4]Itiya P. Aneece
, Prasad S. Thenkabail
:
Classifying Crop Types Using Two Generations of Hyperspectral Sensors (Hyperion and DESIS) with Machine Learning on the Cloud. Remote. Sens. 13(22): 4704 (2021) - [c1]Itiya P. Aneece, Prasad S. Thenkabail:
DESIS and PRISMA: A study of a new generation of spaceborne hyperspectral sensors in the study of world crops. IGARSS 2021: 479 - 2020
- [j3]Daniel J. Foley
, Prasad S. Thenkabail
, Itiya P. Aneece
, Pardhasaradhi Teluguntla
, Adam J. Oliphant
:
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 13(8): 939-975 (2020)
2010 – 2019
- 2018
- [j2]Itiya P. Aneece
, Prasad S. Thenkabail
:
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. 10(12): 2027 (2018) - 2015
- [j1]Itiya P. Aneece
, Howard Epstein:
Distinguishing Early Successional Plant Communities Using Ground-Level Hyperspectral Data. Remote. Sens. 7(12): 16588-16606 (2015)
Coauthor Index
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