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Teluguntla, Pardhasaradhi G.
22  Ergebnisse:
Personensuche X
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1

Automated Cropland Fallow Algorithm (ACFA) for the Northern..:

Oliphant, Adam J. ; Thenkabail, Prasad S. ; Teluguntla, Pardhasaradhi G....
International Journal of Digital Earth.  17 (2024)  1 - p. , 2024
Link: https://doi.org/10.1080/..
 
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2

A meta-analysis of global crop water productivity of three ..:

Foley, Daniel J. ; Thenkabail, Prasad S. ; Aneece, Itiya P...
International Journal of Digital Earth.  13 (2019)  8 - p. 939-975 , 2019
Link: https://doi.org/10.1080/..
 
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3

Agricultural cropland extent and areas of South Asia derive..:

Gumma, Murali Krishna ; Thenkabail, Prasad S. ; Teluguntla, Pardhasaradhi G....
GIScience & Remote Sensing.  57 (2019)  3 - p. 302-322 , 2019
Link: https://doi.org/10.1080/..
 
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4

Mapping cropland extent of Southeast and Northeast Asia usi..:

Oliphant, Adam J. ; Thenkabail, Prasad S. ; Teluguntla, Pardhasaradhi...
International Journal of Applied Earth Observation and Geoinformation.  81 (2019)  - p. 110-124 , 2019
Link: https://doi.org/10.1016/..
 
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5

A 30-m landsat-derived cropland extent product of Australia..:

Teluguntla, Pardhasaradhi ; Thenkabail, Prasad S ; Oliphant, Adam...
ISPRS Journal of Photogrammetry and Remote Sensing.  144 (2018)  - p. 325-340 , 2018
Link: https://doi.org/10.1016/..
 
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6

Spectral matching techniques (SMTs) and automated cropland ..:

Teluguntla, Pardhasaradhi ; Thenkabail, Prasad S. ; Xiong, Jun...
International Journal of Digital Earth.  10 (2017)  9 - p. 944-977 , 2017
Link: https://doi.org/10.1080/..
 
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7

Automated cropland mapping of continental Africa using Goog..:

Xiong, Jun ; Thenkabail, Prasad S. ; Gumma, Murali K....
ISPRS Journal of Photogrammetry and Remote Sensing.  126 (2017)  - p. 225-244 , 2017
Link: https://doi.org/10.1016/..
 
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8

A meta-analysis of global crop water productivity of three ..:

Daniel J. Foley ; Prasad S. Thenkabail ; Itiya P. Aneece..
http://dx.doi.org/10.1080/17538947.2019.1651912.  , 2020
Link: https://doi.org/10.1080/..
 
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9

Agricultural cropland extent and areas of South Asia derive..:

Murali Krishna Gumma ; Prasad S. Thenkabail ; Pardhasaradhi G. Teluguntla...
http://dx.doi.org/10.1080/15481603.2019.1690780.  , 2020
Link: https://doi.org/10.1080/..
 
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10

Spectral matching techniques (SMTs) and automated cropland ..:

Pardhasaradhi Teluguntla ; Prasad S. Thenkabail ; Jun Xiong...
http://dx.doi.org/10.1080/17538947.2016.1267269.  , 2017
Link: https://doi.org/10.1080/..
 
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11

Nominal 30-m Cropland Extent Map of Continental Africa by I..:

Jun Xiong ; Prasad S. Thenkabail ; James C. Tilton...
https://www.mdpi.com/2072-4292/9/10/1065.  , 2017
Link: https://doi.org/10.3390/..
 
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12

Crop Water Productivity from Cloud-Based Landsat Helps Asse..:

Foley, Daniel ; Thenkabail, Prasad ; Oliphant, Adam..
Remote Sensing.  15 (2023)  19 - p. 4894 , 2023
Link: https://doi.org/10.3390/..
 
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13

New Generation Hyperspectral Data From DESIS Compared to Hi..:

Aneece, Itiya ; Foley, Daniel ; Thenkabail, Prasad..
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.  15 (2022)  - p. 7846-7858 , 2022
Link: https://doi.org/10.1109/..
 
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14

New Generation and Old Generation Hyperspectral Remote Sens..:

, In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium,
Thenkabail, Prasad S. ; Aneece, Itiya ; Teluguntla, Pardhasaradhi.. - p. 5744-5745 , 2022
Link: https://doi.org/10.1109/..
 
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15

Multiple agricultural cropland products of South Asia devel..:

Gumma, Murali Krishna ; Thenkabail, Prasad S ; Panjala, Pranay...
GIScience & Remote Sensing.  59 (2022)  1 - p. 1048-1077 , 2022
Link: https://doi.org/10.1080/..
 
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