Barbosa, P.M.,
Casterad, M.A.,
Herrero, J.,
Performance of Several Landsat-5 Thematic Mapper (TM) Image Classification
Methods for Crop Extent Estimates in an Irrigation District,
JRS(17), No. 18, December 1996, pp. 3665-3674.
9701
BibRef
Velpuri, N.M.,
Thenkabail, P.S.,
Gumma, M.K.,
Biradar, C.,
Dheeravath, V.,
Noojipady, P.,
Yuanjie, L.,
Influence of Resolution in Irrigated Area Mapping and Area Estimation,
PhEngRS(75), No. 12, December 2009, pp. 1383-1396.
DOI Link
1001
A comparison of irrigated areas derived from four different spatial
resolutions is performed to ascertain the influence of resolution on
irrigated area mapping and area estimation.
BibRef
Conrad, C.,
Fritsch, S.,
Zeidler, J.,
Rücker, G.,
Dech, S.,
Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT
and ASTER Data,
RS(2), No. 4, April 2010, pp. 1035-1056.
DOI Link
1203
BibRef
Ozdogan, M.,
Yang, Y.,
Allez, G.,
Cervantes, C.,
Remote Sensing of Irrigated Agriculture: Opportunities and Challenges,
RS(2), No. 9, September 2010, pp. 2274-2304.
DOI Link
1203
BibRef
Pervez, M.,
Brown, J.,
Mapping Irrigated Lands at 250-m Scale by Merging MODIS Data and
National Agricultural Statistics,
RS(2), No. 10, October 2010, pp. 2388-2412.
DOI Link
1203
BibRef
Cuenca, R.H.[Richard H.],
Ciotti, S.P.[Shannon P.],
Edlinger, J.,
Conrad, C.,
Lamers, J.,
Khasankhanova, G.,
Koellner, T.,
Reconstructing the Spatio-Temporal Development of Irrigation Systems in
Uzbekistan Using Landsat Time Series,
RS(4), No. 12, December 2012, pp. 3972-3994.
DOI Link
1211
BibRef
Hagimoto, Y.[Yutaka],
Application of Landsat to Evaluate Effects of Irrigation Forbearance,
RS(5), No. 8, 2013, pp. 3776-3802.
DOI Link
1309
BibRef
Akdim, N.[Nadia],
Alfieri, S.M.[Silvia Maria],
Habib, A.[Adnane],
Choukri, A.[Abdeloihab],
Cheruiyot, E.[Elijah],
Labbassi, K.[Kamal],
Menenti, M.[Massimo],
Monitoring of Irrigation Schemes by Remote Sensing:
Phenology versus Retrieval of Biophysical Variables,
RS(6), No. 6, 2014, pp. 5815-5851.
DOI Link
1407
BibRef
Hagolle, O.[Olivier],
Tavernier, A.[Adrien],
Kharrou, M.H.[M. Hakim],
Er-Raki, S.[Salah],
Huc, M.[Mireille],
Kasbani, M.[Mohamed],
El Moutamanni, A.[Abdelilah],
Yousfi, M.[Mohamed],
Jarlan, L.[Lionel],
A Life-Size and Near Real-Time Test of Irrigation Scheduling with a
Sentinel-2 Like Time Series (SPOT4-Take5) in Morocco,
RS(6), No. 11, 2014, pp. 11182-11203.
DOI Link
1412
BibRef
Saadi, S.[Sameh],
Simonneaux, V.[Vincent],
Boulet, G.[Gilles],
Raimbault, B.[Bruno],
Mougenot, B.[Bernard],
Fanise, P.[Pascal],
Ayari, H.[Hassan],
Lili-Chabaane, Z.[Zohra],
Monitoring Irrigation Consumption Using High Resolution NDVI Image
Time Series: Calibration and Validation in the Kairouan Plain
(Tunisia),
RS(7), No. 10, 2015, pp. 13005.
DOI Link
1511
BibRef
Dubovyk, O.[Olena],
Menz, G.[Gunter],
Lee, A.[Alexander],
Schellberg, J.[Juergen],
Thonfeld, F.[Frank],
Khamzina, A.[Asia],
SPOT-Based Sub-Field Level Monitoring of Vegetation Cover Dynamics:
A Case of Irrigated Croplands,
RS(7), No. 6, 2015, pp. 6763.
DOI Link
1507
BibRef
Jin, Q.J.[Qin-Jian],
Wei, J.F.[Jiang-Feng],
Yang, Z.L.[Zong-Liang],
Lin, P.R.[Pei-Rong],
Irrigation-Induced Environmental Changes around the Aral Sea:
An Integrated View from Multiple Satellite Observations,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Pun, M.[Mahesh],
Mutiibwa, D.[Denis],
Li, R.[Ruopu],
Land Use Classification: A Surface Energy Balance and Vegetation
Index Application to Map and Monitor Irrigated Lands,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Chance, E.W.[Eric W.],
Cobourn, K.M.[Kelly M.],
Thomas, V.A.[Valerie A.],
Dawson, B.C.[Blaine C.],
Flores, A.N.[Alejandro N.],
Identifying Irrigated Areas in the Snake River Plain, Idaho:
Evaluating Performance across Composting Algorithms, Spectral
Indices, and Sensors,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
And:
Erratum:
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Chance, E.W.[Eric W.],
Cobourn, K.M.[Kelly M.],
Thomas, V.A.[Valerie A.],
Trend Detection for the Extent of Irrigated Agriculture in Idaho's
Snake River Plain, 1984-2016,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Sharma, A.K.[Amit Kumar],
Hubert-Moy, L.[Laurance],
Buvaneshwari, S.[Sriramulu],
Sekhar, M.[Muddu],
Ruiz, L.[Laurent],
Bandyopadhyay, S.[Soumya],
Corgne, S.[Samuel],
Irrigation History Estimation Using Multitemporal Landsat Satellite
Images: Application to an Intensive Groundwater Irrigated
Agricultural Watershed in India,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Nhamo, L.[Luxon],
van Dijk, R.[Ruben],
Magidi, J.[James],
Wiberg, D.[David],
Tshikolomo, K.[Khathu],
Improving the Accuracy of Remotely Sensed Irrigated Areas Using
Post-Classification Enhancement Through UAV Capability,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Piedelobo, L.[Laura],
Ortega-Terol, D.[Damián],
del Pozo, S.[Susana],
Hernández-López, D.[David],
Ballesteros, R.[Rocío],
Moreno, M.A.[Miguel A.],
Molina, J.L.[José-Luis],
González-Aguilera, D.[Diego],
HidroMap: A New Tool for Irrigation Monitoring and Management Using
Free Satellite Imagery,
IJGI(7), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Gumma, M.,
Thenkabail, P.,
Hideto, F.,
Nelson, A.,
Dheeravath, V.,
Busia, D.,
Rala, A.,
Mapping Irrigated Areas of Ghana Using Fusion of 30m and 250m
Resolution Remote-Sensing Data,
RS(3), No. 4, April 2011, pp. 816-835.
DOI Link
1203
BibRef
Ferrant, S.[Sylvain],
Selles, A.[Adrien],
Le Page, M.[Michel],
Herrault, P.A.[Pierre-Alexis],
Pelletier, C.[Charlotte],
Al-Bitar, A.[Ahmad],
Mermoz, S.[Stéphane],
Gascoin, S.[Simon],
Bouvet, A.[Alexandre],
Saqalli, M.[Mehdi],
Dewandel, B.[Benoit],
Caballero, Y.[Yvan],
Ahmed, S.[Shakeel],
Maréchal, J.C.[Jean-Christophe],
Kerr, Y.[Yann],
Detection of Irrigated Crops from Sentinel-1 and Sentinel-2 Data to
Estimate Seasonal Groundwater Use in South India,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Gao, Q.[Qi],
Zribi, M.[Mehrez],
Escorihuela, M.J.[Maria Jose],
Baghdadi, N.[Nicolas],
Segui, P.Q.[Pere Quintana],
Irrigation Mapping Using Sentinel-1 Time Series at Field Scale,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Ghebreamlak, A.Z.[Araya Z.],
Tanakamaru, H.[Haruya],
Tada, A.[Akio],
Adam, B.M.A.[Bashir M. Ahmed],
Elamin, K.A.E.[Khalid A. E.],
Satellite-Based Mapping of Cultivated Area in Gash Delta Spate
Irrigation System, Sudan,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Akhtar, F.[Fazlullah],
Awan, U.K.[Usman Khalid],
Tischbein, B.[Bernhard],
Liaqat, U.W.[Umar Waqas],
Assessment of Irrigation Performance in Large River Basins under Data
Scarce Environment: A Case of Kabul River Basin, Afghanistan,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Blatchford, M.L.[Megan Leigh],
Karimi, P.[Poolad],
Bastiaanssen, W.G.M.,
Nouri, H.[Hamideh],
From Global Goals to Local Gains:
A Framework for Crop Water Productivity,
IJGI(7), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Kiptala, J.K.[Jeremiah K.],
Mul, M.[Marloes],
Mohamed, Y.[Yasir],
Bastiaanssen, W.G.M.[Wim G.M.],
van der Zaag, P.[Pieter],
Mapping Ecological Production and Benefits from Water Consumed in
Agricultural and Natural Landscapes: A Case Study of the Pangani
Basin,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Ragettli, S.[Silvan],
Herberz, T.[Timo],
Siegfried, T.[Tobias],
An Unsupervised Classification Algorithm for Multi-Temporal Irrigated
Area Mapping in Central Asia,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Bousbih, S.[Safa],
Zribi, M.[Mehrez],
El Hajj, M.[Mohammad],
Baghdadi, N.[Nicolas],
Lili-Chabaane, Z.[Zohra],
Gao, Q.[Qi],
Fanise, P.[Pascal],
Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on
the Synergetic Use of Sentinel-1 and Sentinel-2 Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Xu, T.[Tianfang],
Deines, J.M.[Jillian M.],
Kendall, A.D.[Anthony D.],
Basso, B.[Bruno],
Hyndman, D.W.[David W.],
Addressing Challenges for Mapping Irrigated Fields in Subhumid
Temperate Regions by Integrating Remote Sensing and Hydroclimatic
Data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Vogels, M.F.A.[Marjolein F.A.],
de Jong, S.M.[Steven M.],
Sterk, G.[Geert],
Douma, H.[Harke],
Addink, E.A.[Elisabeth A.],
Spatio-Temporal Patterns of Smallholder Irrigated Agriculture in the
Horn of Africa Using GEOBIA and Sentinel-2 Imagery,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Demarez, V.[Valérie],
Helen, F.[Florian],
Marais-Sicre, C.[Claire],
Baup, F.[Frédéric],
In-Season Mapping of Irrigated Crops Using Landsat 8 and Sentinel-1
Time Series,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Bazzi, H.[Hassan],
Baghdadi, N.[Nicolas],
Ienco, D.[Dino],
El Hajj, M.[Mohammad],
Zribi, M.[Mehrez],
Belhouchette, H.[Hatem],
Escorihuela, M.J.[Maria Jose],
Demarez, V.[Valérie],
Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia,
Spain,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Pageot, Y.[Yann],
Baup, F.[Frédéric],
Inglada, J.[Jordi],
Baghdadi, N.[Nicolas],
Demarez, V.[Valérie],
Detection of Irrigated and Rainfed Crops in Temperate Areas Using
Sentinel-1 and Sentinel-2 Time Series,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Xiang, K.L.[Kun-Lun],
Ma, M.[Minna],
Liu, W.[Wei],
Dong, J.[Jie],
Zhu, X.F.[Xiu-Fang],
Yuan, W.P.[Wen-Ping],
Mapping Irrigated Areas of Northeast China in Comparison to Natural
Vegetation,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link
1904
BibRef
Liu, Q.S.[Qing-Sheng],
Song, H.W.[Hong-Wei],
Liu, G.[Gaohuan],
Huang, C.[Chong],
Li, H.[He],
Evaluating the Potential of Multi-Seasonal CBERS-04 Imagery for
Mapping the Quasi-Circular Vegetation Patches in the Yellow River
Delta Using Random Forest,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Traoré, F.[Farid],
Bonkoungou, J.[Joachim],
Compaoré, J.[Jérôme],
Kouadio, L.[Louis],
Wellens, J.[Joost],
Hallot, E.[Eric],
Tychon, B.[Bernard],
Using Multi-Temporal Landsat Images and Support Vector Machine to
Assess the Changes in Agricultural Irrigated Areas in the Mogtedo
Region, Burkina Faso,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
de C Teixeira, A.H.,
de Miranda, F.R.,
Leivas, J.F.,
Pacheco, E.P.,
Garçon, E.A.M.,
Water productivity assessments for dwarf coconut by using Landsat 8
images and agrometeorological data,
PandRS(155), 2019, pp. 150-158.
Elsevier DOI
1908
Evapotranspiration, Biomass production, Irrigation management,
Remote sensing, L.
BibRef
Lovell, R.J.[Robin J.],
Identifying Alternative Wetting and Drying (AWD) Adoption in the
Vietnamese Mekong River Delta: A Change Detection Approach,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link
1908
Water saving practice for rice growing.
BibRef
Gobbo, S.[Stefano],
Presti, S.L.[Stefano Lo],
Martello, M.[Marco],
Panunzi, L.[Lorenza],
Berti, A.[Antonio],
Morari, F.[Francesco],
Integrating SEBAL with in-Field Crop Water Status Measurement for
Precision Irrigation Applications: A Case Study,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Hao, Z.[Zhen],
Zhao, H.L.[Hong-Li],
Zhang, C.[Chi],
Wang, H.[Hao],
Jiang, Y.Z.[Yun-Zhong],
Detecting Winter Wheat Irrigation Signals Using SMAP Gridded Soil
Moisture Data,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Coakley, C.[Corrine],
Munro-Stasiuk, M.[Mandy],
Tyner, J.A.[James A.],
Kimsroy, S.[Sokvisal],
Chhay, C.[Chhunly],
Rice, S.[Stian],
Extracting Khmer Rouge Irrigation Networks from Pre-Landsat 4
Satellite Imagery Using Vegetation Indices,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Saraiva, M.[Marciano],
Protas, É.[Églen],
Salgado, M.[Moisés],
Souza, C.[Carlos],
Automatic Mapping of Center Pivot Irrigation Systems from Satellite
Images Using Deep Learning,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link
2002
BibRef
Bolognesi, S.F.[Salvatore Falanga],
Pasolli, E.[Edoardo],
Belfiore, O.R.[Oscar Rosario],
de Michele, C.[Carlo],
d'Urso, G.[Guido],
Harmonized Landsat 8 and Sentinel-2 Time Series Data to Detect
Irrigated Areas: An Application in Southern Italy,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link
2004
BibRef
Bazzi, H.[Hassan],
Baghdadi, N.[Nicolas],
Fayad, I.[Ibrahim],
Zribi, M.[Mehrez],
Belhouchette, H.[Hatem],
Demarez, V.[Valérie],
Near Real-Time Irrigation Detection at Plot Scale Using Sentinel-1
Data,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Fayad, I.[Ibrahim],
Baghdadi, N.[Nicolas],
Bazzi, H.[Hassan],
Zribi, M.[Mehrez],
Near Real-Time Freeze Detection over Agricultural Plots Using
Sentinel-1 Data,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Le Page, M.[Michel],
Jarlan, L.[Lionel],
El Hajj, M.M.[Marcel M.],
Zribi, M.[Mehrez],
Baghdadi, N.[Nicolas],
Boone, A.[Aaron],
Potential for the Detection of Irrigation Events on Maize Plots Using
Sentinel-1 Soil Moisture Products,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Ronchetti, G.[Giulia],
Mayer, A.[Alice],
Facchi, A.[Arianna],
Ortuani, B.[Bianca],
Sona, G.[Giovanna],
Crop Row Detection through UAV Surveys to Optimize On-Farm Irrigation
Management,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Olino de Albuquerque, A.[Anesmar],
de Carvalho Júnior, O.A.[Osmar Abílio],
Ferreira de Carvalho, O.L.[Osmar Luiz],
de Bem, P.P.[Pablo Pozzobon],
Ferreira, P.H.G.[Pedro Henrique Guimarães],
dos Santos de Moura, R.[Rebeca],
Silva, C.R.[Cristiano Rosa],
Gomes, R.A.T.[Roberto Arnaldo Trancoso],
Guimarães, R.F.[Renato Fontes],
Deep Semantic Segmentation of Center Pivot Irrigation Systems from
Remotely Sensed Data,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Ketchum, D.[David],
Jencso, K.[Kelsey],
Maneta, M.P.[Marco P.],
Melton, F.[Forrest],
Jones, M.O.[Matthew O.],
Huntington, J.[Justin],
IrrMapper: A Machine Learning Approach for High Resolution Mapping of
Irrigated Agriculture Across the Western U.S.,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Dari, J.[Jacopo],
Brocca, L.[Luca],
Quintana-Seguí, P.[Pere],
Escorihuela, M.J.[María José],
Stefan, V.[Vivien],
Morbidelli, R.[Renato],
Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate
Irrigation Water Amounts over a Mediterranean Region,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Du, J.X.[Jia-Xin],
Fu, B.H.[Bi-Hong],
Guo, Q.A.[Qi-Ang],
Shi, P.L.[Pi-Long],
Monitoring and Assessment of the Oasis Ecological Resilience Improved
by Rational Water Dispatching Using Multiple Remote Sensing Data:
A Case Study of the Heihe River Basin, Silk Road,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Sawadogo, A.[Alidou],
Kouadio, L.[Louis],
Traoré, F.[Farid],
Zwart, S.J.[Sander J.],
Hessels, T.[Tim],
Gündogdu, K.S.[Kemal Sulhi],
Spatiotemporal Assessment of Irrigation Performance of the Kou Valley
Irrigation Scheme in Burkina Faso Using Satellite Remote
Sensing-Derived Indicators,
IJGI(9), No. 8, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Blatchford, M.[Megan],
Mannaerts, C.M.[Chris M.],
Zeng, Y.J.[Yi-Jian],
Nouri, H.[Hamideh],
Karimi, P.[Poolad],
Influence of Spatial Resolution on Remote Sensing-Based Irrigation
Performance Assessment Using WaPOR Data,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Wang, L.P.[Li-Ping],
Wang, S.[Shufang],
Zhang, L.[Liudong],
Salahou, M.K.[Mohamed Khaled],
Jiao, X.[Xiyun],
Sang, H.H.[Hong-Hui],
Assessing the Spatial Pattern of Irrigation Demand under Climate
Change in Arid Area,
IJGI(9), No. 9, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Garrido-Rubio, J.[Jesús],
Calera, A.[Alfonso],
Arellano, I.[Irene],
Belmonte, M.[Mario],
Fraile, L.[Lorena],
Ortega, T.[Tatiana],
Bravo, R.[Raquel],
González-Piqueras, J.[José],
Evaluation of Remote Sensing-Based Irrigation Water Accounting at
River Basin District Management Scale,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Paciolla, N.[Nicola],
Corbari, C.[Chiara],
Bitar, A.A.[Ahmad Al],
Kerr, Y.[Yann],
Mancini, M.[Marco],
Irrigation and Precipitation Hydrological Consistency with SMOS,
SMAP, ESA-CCI, Copernicus SSM1km, and AMSR-2 Remotely Sensed Soil
Moisture Products,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Bradley, S.[Stuart],
Radionova, A.[Anna],
Ghimire, C.[Chandra],
Grundy, L.[Laura],
Laurenson, S.[Seth],
Snow, V.[Val],
Irrigation Control through Acoustic Proximal Sensing of the Onset of
Surface Water,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Graf, L.[Lukas],
Bach, H.[Heike],
Tiede, D.[Dirk],
Semantic Segmentation of Sentinel-2 Imagery for Mapping Irrigation
Center Pivots,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Bazzi, H.[Hassan],
Baghdadi, N.[Nicolas],
Fayad, I.[Ibrahim],
Charron, F.[François],
Zribi, M.[Mehrez],
Belhouchette, H.[Hatem],
Irrigation Events Detection over Intensively Irrigated Grassland
Plots Using Sentinel-1 Data,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Coleman, R.W.[Red Willow],
Stavros, N.[Natasha],
Hulley, G.[Glynn],
Parazoo, N.[Nicholas],
Comparison of Thermal Infrared-Derived Maps of Irrigated and
Non-Irrigated Vegetation in Urban and Non-Urban Areas of Southern
California,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Xiang, K.L.[Kun-Lun],
Yuan, W.P.[Wen-Ping],
Wang, L.W.[Li-Wen],
Deng, Y.J.[Yu-Jiao],
An LSWI-Based Method for Mapping Irrigated Areas in China Using
Moderate-Resolution Satellite Data,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Tang, J.W.[Ji-Wen],
Zhang, Z.[Zheng],
Zhao, L.J.[Li-Jun],
Tang, P.[Ping],
Increasing Shape Bias to Improve the Precision of Center Pivot
Irrigation System Detection,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Wasonga, D.O.[Daniel O.],
Yaw, A.[Afrane],
Kleemola, J.[Jouko],
Alakukku, L.[Laura],
Mäkelä, P.S.A.[Pirjo S.A.],
Red-Green-Blue and Multispectral Imaging as Potential Tools for
Estimating Growth and Nutritional Performance of Cassava under
Deficit Irrigation and Potassium Fertigation,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Magidi, J.[James],
Nhamo, L.[Luxon],
Mpandeli, S.[Sylvester],
Mabhaudhi, T.[Tafadzwanashe],
Application of the Random Forest Classifier to Map Irrigated Areas
Using Google Earth Engine,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Wellington, M.J.[Michael J.],
Renzullo, L.J.[Luigi J.],
High-Dimensional Satellite Image Compositing and Statistics for
Enhanced Irrigated Crop Mapping,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Johansen, K.[Kasper],
Lopez, O.[Oliver],
Tu, Y.H.[Yu-Hsuan],
Li, T.[Ting],
McCabe, M.F.[Matthew Francis],
Center pivot field delineation and mapping: A satellite-driven
object-based image analysis approach for national scale accounting,
PandRS(175), 2021, pp. 1-19.
Elsevier DOI
2105
Geographic object-based image analysis,
Agricultural center pivot fields, Landsat, Time-series, NDVI, Edge detection
BibRef
Norton, C.L.[Cynthia L.],
Dannenberg, M.P.[Matthew P.],
Yan, D.[Dong],
Wallace, C.S.A.[Cynthia S. A.],
Rodriguez, J.R.[Jesus R.],
Munson, S.M.[Seth M.],
van Leeuwen, W.J.D.[Willem J. D.],
Smith, W.K.[William K.],
Climate and Socioeconomic Factors Drive Irrigated Agriculture
Dynamics in the Lower Colorado River Basin,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Sharma, A.K.[Amit Kumar],
Hubert-Moy, L.[Laurence],
Buvaneshwari, S.[Sriramulu],
Sekhar, M.[Muddu],
Ruiz, L.[Laurent],
Moger, H.[Hemanth],
Bandyopadhyay, S.[Soumya],
Corgne, S.[Samuel],
Identifying Seasonal Groundwater-Irrigated Cropland Using
Multi-Source NDVI Time-Series Images,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Ren, J.[Jie],
Shao, Y.[Yang],
Wan, H.[Heng],
Xie, Y.H.[Yan-Hua],
Campos, A.[Adam],
A two-step mapping of irrigated corn with multi-temporal MODIS and
Landsat analysis ready data,
PandRS(176), 2021, pp. 69-82.
Elsevier DOI
2106
Multi-temporal classification, Landsat ARD, Gap-filling,
Annual irrigation mapping
BibRef
Zhu, L.M.[Li-Ming],
Zhu, A.X.[A-Xing],
Extraction of Irrigation Signals by Using SMAP Soil Moisture Data,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Bazzi, H.[Hassan],
Baghdadi, N.[Nicolas],
Amin, G.[Ghaith],
Fayad, I.[Ibrahim],
Zribi, M.[Mehrez],
Demarez, V.[Valérie],
Belhouchette, H.[Hatem],
An Operational Framework for Mapping Irrigated Areas at Plot Scale
Using Sentinel-1 and Sentinel-2 Data,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Ouaadi, N.[Nadia],
Jarlan, L.[Lionel],
Khabba, S.[Saïd],
Ezzahar, J.[Jamal],
Page, M.L.[Michel Le],
Merlin, O.[Olivier],
Irrigation Amounts and Timing Retrieval through Data Assimilation of
Surface Soil Moisture into the FAO-56 Approach in the South
Mediterranean Region,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
den Besten, N.[Nadja],
Steele-Dunne, S.[Susan],
de Jeu, R.[Richard],
van der Zaag, P.[Pieter],
Towards Monitoring Waterlogging with Remote Sensing for Sustainable
Irrigated Agriculture,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Belaqziz, S.[Salwa],
Khabba, S.[Saïd],
Kharrou, M.H.[Mohamed Hakim],
Bouras, E.[El_Houssaine],
Er-Raki, S.[Salah],
Chehbouni, A.[Abdelghani],
Optimizing the Sowing Date to Improve Water Management and Wheat
Yield in a Large Irrigation Scheme, through a Remote Sensing and an
Evolution Strategy-Based Approach,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Serafini, A.[Andrea],
Albéri, M.[Matteo],
Amoretti, M.[Michele],
Anconelli, S.[Stefano],
Bucchi, E.[Enrico],
Caselli, S.[Stefano],
Chiarelli, E.[Enrico],
Cicala, L.[Luca],
Colonna, T.[Tommaso],
de Cesare, M.[Mario],
Gentile, S.[Salvatore],
Guastaldi, E.[Enrico],
Letterio, T.[Tommaso],
Maino, A.[Andrea],
Mantovani, F.[Fabio],
Montuschi, M.[Michele],
Penzotti, G.[Gabriele],
Raptis, K.G.C.[Kassandra Giulia Cristina],
Semenza, F.[Filippo],
Solimando, D.[Domenico],
Strati, V.[Virginia],
Proximal Gamma-Ray Spectroscopy: An Effective Tool to Discern Rain
from Irrigation,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Massari, C.[Christian],
Modanesi, S.[Sara],
Dari, J.[Jacopo],
Gruber, A.[Alexander],
de Lannoy, G.J.M.[Gabrielle J. M.],
Girotto, M.[Manuela],
Quintana-Seguí, P.[Pere],
Le Page, M.[Michel],
Jarlan, L.[Lionel],
Zribi, M.[Mehrez],
Ouaadi, N.[Nadia],
Vreugdenhil, M.[Mariëtte],
Zappa, L.[Luca],
Dorigo, W.[Wouter],
Wagner, W.[Wolfgang],
Brombacher, J.[Joost],
Pelgrum, H.[Henk],
Jaquot, P.[Pauline],
Freeman, V.[Vahid],
Volden, E.[Espen],
Prieto, D.F.[Diego Fernandez],
Tarpanelli, A.[Angelica],
Barbetta, S.[Silvia],
Brocca, L.[Luca],
A Review of Irrigation Information Retrievals from Space and Their
Utility for Users,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
Survey, Irrigation.
BibRef
Nilsson, A.[Anna],
Mentis, D.[Dimitrios],
Korkovelos, A.[Alexandros],
Otwani, J.[Joel],
A GIS-Based Approach to Estimate Electricity Requirements for
Small-Scale Groundwater Irrigation,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Gao, Z.T.[Zi-Tian],
Guo, D.[Danlu],
Ryu, D.[Dongryeol],
Western, A.W.[Andrew W.],
Enhancing the Accuracy and Temporal Transferability of Irrigated
Cropping Field Classification Using Optical Remote Sensing Imagery,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Canales-Ide, F.[Freddy],
Zubelzu, S.[Sergio],
Segovia-Cardozo, D.[Daniel],
Rodríguez-Sinobas, L.[Leonor],
Assessing the Performance of Irrigation Systems in Large Scale Urban
Parks: Application to the Case of Valdebebas, Madrid (Spain),
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Ma, C.F.[Chun-Feng],
Johansen, K.[Kasper],
McCabe, M.F.[Matthew F.],
Monitoring Irrigation Events and Crop Dynamics Using Sentinel-1 and
Sentinel-2 Time Series,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Zhao, H.T.[Hao-Teng],
Di, L.P.[Li-Ping],
Sun, Z.H.[Zi-Heng],
WaterSmart-GIS: A Web Application of a Data Assimilation Model to
Support Irrigation Research and Decision Making,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Bazzi, H.[Hassan],
Baghdadi, N.[Nicolas],
Charron, F.[François],
Zribi, M.[Mehrez],
Comparative Analysis of the Sensitivity of SAR Data in C and L Bands
for the Detection of Irrigation Events,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Yan, N.[Nana],
Wu, B.F.[Bing-Fang],
Zhu, W.W.[Wei-Wei],
Ma, Z.[Zonghan],
Zhang, X.[Xiwang],
Bulgan, D.[Davdai],
The Evolution of Irrigation Effects on Agricultural Drought
Mitigation in North China,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Jaafar, H.[Hadi],
Mourad, R.[Roya],
Hazimeh, R.[Rim],
Sujud, L.[Lara],
AgSAT: A Smart Irrigation Application for Field-Scale Daily Crop ET
and Water Requirements Using Satellite Imagery,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Wuyun, D.[Deji],
Bao, J.W.[Jun-Wei],
Crusiol, L.G.T.[Luís Guilherme Teixeira],
Wulan, T.[Tuya],
Sun, L.[Liang],
Wu, S.R.[Shang-Rong],
Xin, Q.Q.[Qing-Qiang],
Sun, Z.[Zheng],
Chen, R.Q.[Rui-Qing],
Peng, J.Y.[Jing-Yu],
Xu, H.T.[Hong-Tao],
Wu, N.[Nitu],
Hou, A.H.[An-Hong],
Wu, L.[Lan],
Ren, T.T.[Ting-Ting],
Generating Salt-Affected Irrigated Cropland Map in an Arid and
Semi-Arid Region Using Multi-Sensor Remote Sensing Data,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
de Sousa Junior, M.F.[Marionei Fomaca],
Fonseca, L.M.G.[Leila Maria Garcia],
do Nascimento-Bendini, H.[Hugo],
Estimation of Water Use in Center Pivot Irrigation Using
Evapotranspiration Time Series Derived by Landsat: A Study Case in a
Southeastern Region of the Brazilian Savanna,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Meier, J.[Jonas],
Mauser, W.[Wolfram],
Irrigation Mapping at Different Spatial Scales: Areal Change with
Resolution Explained by Landscape Metrics,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link
2301
BibRef
Wang, C.H.,
Using Remote Sensing Technology on the Delimitation of the Conservation
Area for the Jianan Irrigation System Cultural Landsccape,
CIPA15(443-448).
DOI Link
1508
BibRef
Wittamperuma, I.,
Hafeez, M.,
Pakparvar, M.,
Louis, J.,
Remote-sensing-based Biophysical Models For Estimating LAI of Irrigated
Crops In Murry Darling Basin,
ISPRS12(XXXIX-B8:367-373).
DOI Link
1209
BibRef
Abuzar, M.,
Mcallister, A.,
Whitfield, D.,
Sheffield, K.,
Satellite-based Measurements For Benchmarking Regional Irrigation
Performance In Goulburn-murray Catchment,
ISPRS12(XXXIX-B8:221-223).
DOI Link
1209
BibRef
Dong, T.T.[Ting-Ting],
Wang, Z.Y.[Zhen-Ying],
A new method to distinguish between irrigated dry land and rain-fed dry
land using multi-temporal MODIS and ancillary data:
An application example in China,
IASP10(393-398).
IEEE DOI
1004
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Water Use Analysis, Water Stress .