Irrigation Monitoring, Irrigated Field Detection, Land Use Analysis

Chapter Contents (Back)

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

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.
WWW 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

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

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

Jiménez-Bello, M.A., Ruiz, L.A., Hermosilla, T., Recio, J.A., Intrigliolo, D.S.,
Use of remote sensing and geographic information tools for irrigation management of citrus trees,
Other2012, pp. 147-159. In: The use of remote sensing and geographic information systems for irrigation amangement in Southwest Europe. CIHEAM.
PDF File. BibRef 1200

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

Hagimoto, Y.[Yutaka],
Application of Landsat to Evaluate Effects of Irrigation Forbearance,
RS(5), No. 8, 2013, pp. 3776-3802.
DOI Link 1309

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

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

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

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

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

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

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
And: Erratum: RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708

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

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

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

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

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

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

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

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

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

Wang, C.H.,
Using Remote Sensing Technology on the Delimitation of the Conservation Area for the Jianan Irrigation System Cultural Landsccape,
DOI Link 1508

Wittamperuma, I., Hafeez, M., Pakparvar, M., Louis, J.,
Remote-sensing-based Biophysical Models For Estimating LAI of Irrigated Crops In Murry Darling Basin,
DOI Link 1209

Abuzar, M., Mcallister, A., Whitfield, D., Sheffield, K.,
Satellite-based Measurements For Benchmarking Regional Irrigation Performance In Goulburn-murray Catchment,
DOI Link 1209

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,

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Last update:Nov 12, 2018 at 11:26:54