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About:
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics
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article by Prasad S. Thenkabail et al published 17 April 2009 in Remote Sensing
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rdf:type
Item
description
wetenschappelijk artikel
(nl)
article scientifique publié en 2009
(fr)
наукова стаття, опублікована у квітні 2009
(uk)
im April 2009 veröffentlichter wissenschaftlicher Artikel
(de)
article by Prasad S. Thenkabail et al published 17 April 2009 in Remote Sensing
(en)
publication date
wds:Q56918118-781A6044-976B-477D-96CF-6095334DB135
publication date
2009-04-17 00:00:00Z
(
xsd:dateTime
)
cites work
wds:Q56918118-49BCD91C-012B-4F5C-AC08-9CD16980B24C
wds:Q56918118-D290F91B-E0C0-492F-9448-1D39FE066320
wds:Q56918118-FA3BFFCB-5D48-4C0C-BF61-00513C7C7303
wds:Q56918118-FEDF6675-CC5A-4645-B36F-65661B1E3188
cites work
Sub-pixel Area Calculation Methods for Estimating Irrigated Areas
A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing
Irrigated area mapping in heterogeneous landscapes with MODIS time series, ground truth and census data, Krishna Basin, India
Development and validation of the global map of irrigation areas
author name string
wds:Q56918118-14A525CC-8E92-4FA3-8B13-E410E2244E5B
wds:Q56918118-2DCE2382-C6FC-47D3-A4D8-3F3F6BAA4434
wds:Q56918118-68EB9A0E-B581-44DF-AFB7-227F5B51A992
wds:Q56918118-6B4FC798-7985-40B0-9257-B2E9F419A4EA
wds:Q56918118-B7DE1B3F-A7A4-48EC-B1EB-2FB442C04BE3
wds:Q56918118-BF14E161-5DC5-473D-9A50-A95D02853AF9
wds:Q56918118-CBBF1C2A-BA4D-473D-89C5-EDF3571FFE7F
author name string
Praveen Noojipady
Yuanjie Li
Muralikrishna Gumma
Venkateswarlu Dheeravath
Manohar Velpuri
Chandrakantha Gurappa
Obi Reddy Gangalakunta
rdfs:label
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics
(en)
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics
(nl)
skos:prefLabel
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics
(en)
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics
(nl)
name
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics
(en)
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics
(nl)
author
wds:Q56918118-36A965BB-2DB5-459B-BE3D-91FDBDED5D33
wds:Q56918118-4A127F7D-BDA4-4DA2-9883-090FF4DD0A6B
author
Chandrashekhar M. Biradar
Prasad S. Thenkabail
title
wds:Q56918118-76E28608-F265-42AC-8DD8-8227C818B053
title
Irrigated Area Maps and Statistics of India Using Remote Sensing and National Statistics
(en)
page(s)
wds:Q56918118-FF32D685-0998-42ED-8239-58D4CAF344E7
page(s)
50-67
instance of
wds:Q56918118-1BC9F491-EEE1-42E5-8A54-50242B5E3E23
instance of
scholarly article
main subject
wds:Q56918118-1C796352-77A7-468F-943E-5E1BB5B7C17B
wds:Q56918118-55B394B3-CD6F-439B-BD0F-E1FA6DC7EABD
wds:Q56918118-B5BDCBEB-05D7-4A00-8D8E-E5377E192A2A
main subject
India
remote sensing
statistics
DBLP publication ID
wds:Q56918118-AAA1A7D7-0B09-4AF9-90F6-B13FD38B9D55
DBLP publication ID
https://dblp.org/rec/journals/remotesensing/ThenkabailDBGNG09
DBLP publication ID
journals/remotesensing/ThenkabailDBGNG09
published in
wds:Q56918118-161D3310-6EA3-4FF7-B596-E0071E5E7481
published in
Remote Sensing
issue
wds:Q56918118-7E4A7DE1-459C-402D-8974-A1A5BBEFEB63
volume
wds:Q56918118-D0DADD3F-2563-496E-A371-7B6856E93681
issue
2
volume
1
DOI
wds:Q56918118-CD9D5FBE-ABB5-4037-97FF-995ADF5623F1
DOI
http://dx.doi.org/10.3390/RS1020050
DOI
10.3390/RS1020050
copyright license
wds:Q56918118-3abb1191-22fa-41de-8d27-f70ca5de0a00
copyright status
wds:Q56918118-9911ee8e-e83f-4d61-8515-a801735cbca8
copyright license
Creative Commons Attribution 4.0 International
copyright status
copyrighted
describes a project that uses
wds:Q56918118-7077D56E-333B-4E32-9426-E43E4824EC03
describes a project that uses
remote sensing
is
about
of
https://www.wikidata.org/wiki/Special:EntityData/Q56918118
is
cites work
of
A Holistic View of Global Croplands and Their Water Use for Ensuring Global Food Security in the 21st Century through Advanced Remote Sensing and Non-remote Sensing Approaches
Irrigated areas grow faster than the population
Assessment of SMAP soil moisture for global simulation of gross primary production
is
cites work
of
wds:Q88622987-557A85B4-C921-4FB7-BA95-A1523F0A9CB4
wds:Q56918094-2930A886-785B-4A9A-8A83-B496AC4888AC
wds:Q58059189-770CF95D-B5F7-4844-B571-13AA111CCBD8
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