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Multi-temporal classification, Landsat ARD, Gap-filling,
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Irrigation Amounts and Timing Retrieval through Data Assimilation of
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Belaqziz, S.[Salwa],
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Survey, Irrigation.
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2112
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Enhancing the Accuracy and Temporal Transferability of Irrigated
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2202
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2206
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2211
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2211
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2212
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2301
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A Numerical Assessment and Prediction for Meeting the Demand for
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2302
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Multi-Year Crop Type Mapping Using Sentinel-2 Imagery and Deep
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RS(15), No. 4, 2023, pp. xx-yy.
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2303
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2304
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Regional Climate Effects of Irrigation under Central Asia Warming by
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DOI Link
2307
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Review Analysis of Irrigation and Application of Remote Sensing in
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2308
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Using Film-Mulched Drip Irrigation to Improve the Irrigation Water
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DOI Link
2310
BibRef
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Remote Sensing-Based Classification of Winter Irrigation Fields Using
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Elsevier DOI
2310
Cropland areas, Earth observation, Large scale, South Africa,
National scale mapping, Wall-to-wall mapping
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Mapping annual center-pivot irrigated cropland in Brazil during the
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Elsevier DOI
2311
Irrigation, Landsat, Google Earth Engine, Deep learning, U-Net, Brazil
BibRef
Wang, C.H.,
Using Remote Sensing Technology on the Delimitation of the Conservation
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Wittamperuma, I.,
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Pakparvar, M.,
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Remote-sensing-based Biophysical Models For Estimating LAI of Irrigated
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Abuzar, M.,
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Satellite-based Measurements For Benchmarking Regional Irrigation
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1209
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Dong, T.T.[Ting-Ting],
Wang, Z.Y.[Zhen-Ying],
A new method to distinguish between irrigated dry land and rain-fed dry
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IEEE DOI
1004
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Water Use Analysis, Water Stress .