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Itiya P. Aneece
ORCID
Publication Activity (10 Years)
Years Active: 2015-2023
Publications (10 Years): 8
Top Topics
Earth Observing
Hyperspectral
Spatial Resolution
Hyperspectral Data
Top Venues
Remote. Sens.
IGARSS
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Int. J. Digit. Earth
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Publications
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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) (2023)
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 (2022)
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)
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) (2021)
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)
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) (2020)
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) (2018)
Itiya P. Aneece
,
Howard Epstein
Distinguishing Early Successional Plant Communities Using Ground-Level Hyperspectral Data.
Remote. Sens.
7 (12) (2015)