22.2.2.5 Water Use Analysis, Water Stress

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Water Use. Water Stress.

Taghvaeian, S., Chávez, J., Hansen, N.,
Infrared Thermometry to Estimate Crop Water Stress Index and Water Use of Irrigated Maize in Northeastern Colorado,
RS(4), No. 11, November 2012, pp. 3619-3637.
DOI Link 1211
BibRef

Taghvaeian, S.[Saleh], Chávez, J.L.[José L.], Hattendorf, M.J.[Mary J.], Crookston, M.A.[Mark A.],
Optical and Thermal Remote Sensing of Turfgrass Quality, Water Stress, and Water Use under Different Soil and Irrigation Treatments,
RS(5), No. 5, 2013, pp. 2327-2347.
DOI Link 1307
BibRef

Nutini, F.[Francesco], Boschetti, M.[Mirco], Candiani, G.[Gabriele], Bocchi, S.[Stefano], Brivio, P.A.[Pietro Alessandro],
Evaporative Fraction as an Indicator of Moisture Condition and Water Stress Status in Semi-Arid Rangeland Ecosystems,
RS(6), No. 7, 2014, pp. 6300-6323.
DOI Link 1408
BibRef

Ullah, S.[Saleem], Skidmore, A.K.[Andrew K.], Ramoelo, A.[Abel], Groen, T.A.[Thomas A.], Naeem, M.[Mohammad], Ali, A.[Asad],
Retrieval of leaf water content spanning the visible to thermal infrared spectra,
PandRS(93), No. 1, 2014, pp. 56-64.
Elsevier DOI 1407
Water stress BibRef

Torrion, J.A.[Jessica A.], Maas, S.J.[Stephan J.], Guo, W.X.[Wen-Xuan], Bordovsky, J.P.[James P.], Cranmer, A.M.[Andy M.],
A Three-Dimensional Index for Characterizing Crop Water Stress,
RS(6), No. 5, 2014, pp. 4025-4042.
DOI Link 1407
BibRef

Zhang, L.[Li], Tian, J.[Jing], He, H.L.[Hong-Lin], Ren, X.L.[Xiao-Li], Sun, X.M.[Xiao-Min], Yu, G.[Guirui], Lu, Q.Q.[Qian-Qian], Lv, L.[Linyu],
Evaluation of Water Use Efficiency Derived from MODIS Products against Eddy Variance Measurements in China,
RS(7), No. 9, 2015, pp. 11183.
DOI Link 1511
BibRef

Tang, X.G.[Xu-Guang], Li, H.P.[Heng-Peng], Griffis, T.J.[Tim J.], Xu, X.B.[Xi-Bao], Ding, Z.[Zhi], Liu, G.H.[Gui-Hua],
Tracking Ecosystem Water Use Efficiency of Cropland by Exclusive Use of MODIS EVI Data,
RS(7), No. 9, 2015, pp. 11016.
DOI Link 1511
BibRef

Ni, Z.Y.[Zhuo-Ya], Liu, Z.G.[Zhi-Gang], Huo, H.Y.[Hong-Yuan], Li, Z.L.[Zhao-Liang], Nerry, F.[Françoise], Wang, Q.S.[Qing-Shan], Li, X.W.[Xiao-Wen],
Early Water Stress Detection Using Leaf-Level Measurements of Chlorophyll Fluorescence and Temperature Data,
RS(7), No. 3, 2015, pp. 3232-3249.
DOI Link 1504
BibRef

Bayat, B.[Bagher], van der Tol, C.[Christiaan], Verhoef, W.[Wouter],
Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion,
RS(8), No. 7, 2016, pp. 557.
DOI Link 1608
BibRef

Huang, Y., Walker, J.P., Gao, Y., Wu, X., Monerris, A.,
Estimation of Vegetation Water Content From the Radar Vegetation Index at L-Band,
GeoRS(54), No. 2, February 2016, pp. 981-989.
IEEE DOI 1601
Backscatter BibRef

Navarro, A.[Ana], Rolim, J.[João], Miguel, I.[Irina], Catalão, J.[João], Silva, J.[Joel], Painho, M.[Marco], Vekerdy, Z.[Zoltán],
Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements,
RS(8), No. 6, 2016, pp. 525.
DOI Link 1608
BibRef

Buitrago, M.F.[Maria F.], Groen, T.A.[Thomas A.], Hecker, C.A.[Christoph A.], Skidmore, A.K.[Andrew K.],
Changes in thermal infrared spectra of plants caused by temperature and water stress,
PandRS(111), No. 1, 2016, pp. 22-31.
Elsevier DOI 1601
Spectral emissivity BibRef

Abdi, A.M.[Abdulhakim M.], Boke-Olén, N.[Niklas], Tenenbaum, D.E.[David E.], Tagesson, T.[Torbern], Cappelaere, B.[Bernard], Ardö, J.[Jonas],
Evaluating Water Controls on Vegetation Growth in the Semi-Arid Sahel Using Field and Earth Observation Data,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Tang, X.G.[Xu-Guang], Ma, M.G.[Ming-Guo], Ding, Z.[Zhi], Xu, X.B.[Xi-Bao], Yao, L.[Li], Huang, X.J.[Xiao-Juan], Gu, Q.[Qing], Song, L.S.[Li-Sheng],
Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China's Arid and Semi-Arid Regions with MODIS Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Duchemin, B.[Benoit], Fieuzal, R.[Rémy], Rivera, M.A.[Miguel Augustin], Ezzahar, J.[Jamal], Jarlan, L.[Lionel], Rodriguez, J.C.[Julio César], Hagolle, O.[Olivier], Watts, C.[Christopher],
Impact of Sowing Date on Yield and Water Use Efficiency of Wheat Analyzed through Spatial Modeling and FORMOSAT-2 Images,
RS(7), No. 5, 2015, pp. 5951-5979.
DOI Link 1506
BibRef

Khand, K.[Kul], Taghvaeian, S.[Saleh], Hassan-Esfahani, L.[Leila],
Mapping Annual Riparian Water Use Based on the Single-Satellite-Scene Approach,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Lu, X.L.[Xiao-Liang], Liu, Z.[Zhunqiao], Zhou, Y.[Yuyu], Liu, Y.L.[Ya-Ling], Tang, J.[Jianwu],
Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Thorp, K.R.[Kelly R.], Thompson, A.L.[Alison L.], Harders, S.J.[Sara J.], French, A.N.[Andrew N.], Ward, R.W.[Richard W.],
High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Anderson, M.[Martha], Gao, F.[Feng], Knipper, K.[Kyle], Hain, C.[Christopher], Dulaney, W.[Wayne], Baldocchi, D.[Dennis], Eichelmann, E.[Elke], Hemes, K.[Kyle], Yang, Y.[Yun], Medellin-Azuara, J.[Josue], Kustas, W.[William],
Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Moyano, M.C.[Maria C.], Garcia, M.[Monica], Palacios-Orueta, A.[Alicia], Tornos, L.[Lucia], Fisher, J.B.[Joshua B.], Fernández, N.[Néstor], Recuero, L.[Laura], Juana, L.[Luis],
Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doñana,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Senay, G.B.[Gabriel B.], Schauer, M.[Matthew], Velpuri, N.M.[Naga M.], Singh, R.K.[Ramesh K.], Kagone, S.[Stefanie], Friedrichs, M.[MacKenzie], Litvak, M.E.[Marcy E.], Douglas-Mankin, K.R.[Kyle R.],
Long-Term (1986-2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Ahmadi, B.[Behzad], Ahmadalipour, A.[Ali], Tootle, G.[Glenn], Moradkhani, H.[Hamid],
Remote Sensing of Water Use Efficiency and Terrestrial Drought Recovery across the Contiguous United States,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Yuan, Q.Q.[Qiang-Qiang], Li, S.[Shuwen], Yue, L.W.[Lin-Wei], Li, T.W.[Tong-Wen], Shen, H.F.[Huan-Feng], Zhang, L.P.[Liang-Pei],
Monitoring the Variation of Vegetation Water Content with Machine Learning Methods: Point-Surface Fusion of MODIS Products and GNSS-IR Observations,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Du, X.Z.[Xiao-Zheng], Zhao, X.[Xiang], Zhou, T.[Tao], Jiang, B.[Bo], Xu, P.P.[Pei-Pei], Wu, D.H.[Dong-Hai], Tang, B.J.[Bi-Jian],
Effects of Climate Factors and Human Activities on the Ecosystem Water Use Efficiency throughout Northern China,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Xie, Y.H.[Yan-Hua], Lark, T.J.[Tyler J.], Brown, J.F.[Jesslyn F.], Gibbs, H.K.[Holly K.],
Mapping irrigated cropland extent across the conterminous United States at 30?m resolution using a semi-automatic training approach on Google Earth Engine,
PandRS(155), 2019, pp. 136-149.
Elsevier DOI 1908
Irrigation agriculture, Landsat, Automatic classification, Water use, Conterminous United States, Google Earth Engine BibRef

Schauer, M.[Matthew], Senay, G.B.[Gabriel B.],
Characterizing Crop Water Use Dynamics in the Central Valley of California Using Landsat-Derived Evapotranspiration,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Knipper, K.R.[Kyle R.], Kustas, W.P.[William P.], Anderson, M.C.[Martha C.], Alsina, M.M.[Maria Mar], Hain, C.R.[Christopher R.], Alfieri, J.G.[Joseph G.], Prueger, J.H.[John H.], Gao, F.[Feng], McKee, L.G.[Lynn G.], Sanchez, L.A.[Luis A.],
Using High-Spatiotemporal Thermal Satellite ET Retrievals for Operational Water Use and Stress Monitoring in a California Vineyard,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Osco, L.P.[Lucas Prado], Ramos, A.P.M.[Ana Paula Marques], Moriya, É.A.S.[Érika Akemi Saito], Bavaresco, L.G.[Lorrayne Guimarães], de Lima, B.C.[Bruna Coelho], Estrabis, N.[Nayara], Pereira, D.R.[Danilo Roberto], Creste, J.E.[José Eduardo], Júnior, J.M.[José Marcato], Gonçalves, W.N.[Wesley Nunes], Imai, N.N.[Nilton Nobuhiro], Li, J.[Jonathan], Liesenberg, V.[Veraldo], de Araújo, F.F.[Fábio Fernando],
Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Gerhards, M.[Max], Schlerf, M.[Martin], Mallick, K.[Kaniska], Udelhoven, T.[Thomas],
Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Basak, R.[Rinku], Wahid, K.A.[Khan A.], Dinh, A.[Anh], Soolanayakanahally, R.[Raju], Fotouhi, R.[Reza], Mehr, A.S.[Aryan S.],
Rapid and Efficient Determination of Relative Water Contents of Crop Leaves Using Electrical Impedance Spectroscopy in Vegetative Growth Stage,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Zhao, J.X.[Jing-Xue], Xu, T.[Tongren], Xiao, J.F.[Jing-Feng], Liu, S.M.[Shao-Min], Mao, K.[Kebiao], Song, L.S.[Li-Sheng], Yao, Y.J.[Yun-Jun], He, X.L.[Xin-Lei], Feng, H.Z.[Huai-Ze],
Responses of Water Use Efficiency to Drought in Southwest China,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Santos, A.B.[Ana Beatriz], Costa, M.H.[Marcos Heil], Mantovani, E.C.[Everardo Chartuni], Boninsenha, I.[Igor], Castro, M.[Marina],
A Remote Sensing Diagnosis of Water Use and Water Stress in a Region with Intense Irrigation Growth in Brazil,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Tolomio, M.[Massimo], Casa, R.[Raffaele],
Dynamic Crop Models and Remote Sensing Irrigation Decision Support Systems: A Review of Water Stress Concepts for Improved Estimation of Water Requirements,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Paloschi, R.A.[Rennan A.], Ramos, D.M.[Desirée Marques], Ventura, D.J.[Dione J.], Souza, R.[Rodolfo], Souza, E.[Eduardo], Morellato, L.P.C.[Leonor Patrícia Cerdeira], Nóbrega, R.L.B.[Rodolfo L. B.], Coutinho, Í.A.C.[Ítalo Antônio Cotta], Verhoef, A.[Anne], Körting, T.S.[Thales Sehn], de Simone Borma, L.[Laura],
Environmental Drivers of Water Use for Caatinga Woody Plant Species: Combining Remote Sensing Phenology and Sap Flow Measurements,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Chandel, A.K.[Abhilash K.], Khot, L.R.[Lav R.], Molaei, B.[Behnaz], Peters, R.T.[R. Troy], Stöckle, C.O.[Claudio O.], Jacoby, P.W.[Pete W.],
High-Resolution Spatiotemporal Water Use Mapping of Surface and Direct-Root-Zone Drip-Irrigated Grapevines Using UAS-Based Thermal and Multispectral Remote Sensing,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Rasmussen, S.[Shaundra], Warziniack, T.[Travis], Neel, A.[Abbye], O'Neil-Dunne, J.[Jarlath], McHale, M.[Melissa],
When Small Is Not Beautiful: The Unexpected Impacts of Trees and Parcel Size on Metered Water-Use in a Semi-Arid City,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Kaplan, G.[Gregoriy], Fine, L.[Lior], Lukyanov, V.[Victor], Manivasagam, V.S., Malachy, N.[Nitzan], Tanny, J.[Josef], Rozenstein, O.[Offer],
Estimating Processing Tomato Water Consumption, Leaf Area Index, and Height Using Sentinel-2 and VENµS Imagery,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Kharrou, M.H.[Mohamed Hakim], Simonneaux, V.[Vincent], Er-Raki, S.[Salah], Le Page, M.[Michel], Khabba, S.[Saïd], Chehbouni, A.[Abdelghani],
Assessing Irrigation Water Use with Remote Sensing-Based Soil Water Balance at an Irrigation Scheme Level in a Semi-Arid Region of Morocco,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Zhang, Y.C.[Yang-Chengsi], Du, J.Q.[Jia-Qiang], Guo, L.[Long], Sheng, Z.[Zhilu], Wu, J.H.[Jin-Hua], Zhang, J.[Jing],
Water Conservation Estimation Based on Time Series NDVI in the Yellow River Basin,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Luo, B.[Biao], Zhang, F.[Fan], Liu, X.[Xiao], Pan, Q.[Qi], Guo, P.[Ping],
Managing Agricultural Water Considering Water Allocation Priority Based on Remote Sensing Data,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Lillo-Saavedra, M.[Mario], Gavilán, V.[Viviana], García-Pedrero, A.[Angel], Gonzalo-Martín, C.[Consuelo], de la Hoz, F.[Felipe], Somos-Valenzuela, M.[Marcelo], Rivera, D.[Diego],
Ex Post Analysis of Water Supply Demand in an Agricultural Basin by Multi-Source Data Integration,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Zhou, J.J.[Jing-Jing], Zhang, Y.H.[Ya-Hao], Han, Z.M.[Ze-Min], Liu, X.Y.[Xiao-Yang], Jian, Y.F.[Yong-Feng], Hu, C.G.[Chun-Gen], Dian, Y.Y.[Yuan-Yong],
Evaluating the Performance of Hyperspectral Leaf Reflectance to Detect Water Stress and Estimation of Photosynthetic Capacities,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Cai, W.[Wanyuan], Ullah, S.[Sana], Yan, L.[Lei], Lin, Y.[Yi],
Remote Sensing of Ecosystem Water Use Efficiency: A Review of Direct and Indirect Estimation Methods,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

El Masri, B.[Bassil], Stinchcomb, G.E.[Gary E.], Cetin, H.[Haluk], Ferguson, B.[Benedict], Kim, S.L.[Sora L.], Xiao, J.F.[Jing-Feng], Fisher, J.B.[Joshua B.],
Linking Remotely Sensed Carbon and Water Use Efficiencies with In Situ Soil Properties,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Chan, C.[Catherine], Nelson, P.R.[Peter R.], Hayes, D.J.[Daniel J.], Zhang, Y.J.[Yong-Jiang], Hall, B.[Bruce],
Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging Spectroscopy,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Almeida, B.[Bruna], Cabral, P.[Pedro],
Water Yield Modelling, Sensitivity Analysis and Validation: A Study for Portugal,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Kim, J.S.[Jae Sung], Kisekka, I.[Isaya],
FARMs: A Geospatial Crop Modeling and Agricultural Water Management System,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Qiu, L.J.[Lin-Jing], Chen, Y.T.[Yu-Ting], Wu, Y.P.[Yi-Ping], Xue, Q.Y.[Qing-Yue], Shi, Z.Y.[Zhao-Yang], Lei, X.H.[Xiao-Hui], Liao, W.H.[Wei-Hong], Zhao, F.[Fubo], Wang, W.K.[Wen-Ke],
The Water Availability on the Chinese Loess Plateau since the Implementation of the Grain for Green Project as Indicated by the Evaporative Stress Index,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Ahmad, U.[Uzair], Alvino, A.[Arturo], Marino, S.[Stefano],
A Review of Crop Water Stress Assessment Using Remote Sensing,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Brom, J.[Jakub], Duffková, R.[Renata], Haberle, J.[Jan], Zajícek, A.[Antonín], Nedbal, V.[Václav], Bernasová, T.[Tereza], Krováková, K.[Katerina],
Identification of Infiltration Features and Hydraulic Properties of Soils Based on Crop Water Stress Derived from Remotely Sensed Data,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Joshi, R.C.[Rakesh Chandra], Ryu, D.[Dongryeol], Sheridan, G.J.[Gary J.], Lane, P.N.J.[Patrick N. J.],
Modeling Vegetation Water Stress over the Forest from Space: Temperature Vegetation Water Stress Index (TVWSI),
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Hao, X.M.[Xing-Ming], Zhang, J.J.[Jing-Jing], Fan, X.[Xue], Hao, H.C.[Hai-Chao], Li, Y.H.[Yuan-Hang],
Quantifying Soil Moisture Impacts on Water Use Efficiency in Terrestrial Ecosystems of China,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Bandaru, V.[Varaprasad], Yaramasu, R.[Raghu], Jones, C.[Curtis], César Izaurralde, R., Reddy, A.[Ashwan], Sedano, F.[Fernando], Daughtry, C.S.T.[Craig S.T.], Becker-Reshef, I.[Inbal], Justice, C.[Chris],
Geo-CropSim: A Geo-spatial crop simulation modeling framework for regional scale crop yield and water use assessment,
PandRS(183), 2022, pp. 34-53.
Elsevier DOI 2201
Crop yields, Evapotranspiration, LAI, Emergence dates, Crop model, EPIC, Corn, and Soybean BibRef

Amiri, M.[Mustapha], Salem, A.[Ali], Ghzal, M.[Mohamed],
Spatial-Temporal Water Balance Components Estimation Using Integrated GIS-Based Wetspass-M Model in Moulouya Basin, Morocco,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Sun, H.W.[Huai-Wei], Chen, L.[Lin], Yang, Y.[Yong], Lu, M.G.[Meng-Ge], Qin, H.[Hui], Zhao, B.Q.[Bing-Qian], Lu, M.T.[Meng-Tian], Xue, J.[Jie], Yan, D.[Dong],
Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Zhang, Y.X.[Yu-Xiang], Hu, J.H.[Ji-Heng], Gu, D.[Dasa], Bo, H.[Haixu], Fu, Y.[Yuyun], Wang, Y.[Yipu], Li, R.[Rui],
Simulation of Isoprene Emission with Satellite Microwave Emissivity Difference Vegetation Index as Water Stress Factor in Southeastern China during 2008,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Gao, H.[Han], Jin, J.X.[Jia-Xin],
Analysis of Water Yield Changes from 1981 to 2018 Using an Improved Mann-Kendall Test,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Jiang, L.[Lei], Yang, Y.T.[Yu-Ting], Shang, S.[Songhao],
Remote Sensing: Based Assessment of the Water-Use Efficiency of Maize over a Large, Arid, Regional Irrigation District,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Jofre-Cekalovic, C.[Christian], Nieto, H.[Héctor], Girona, J.[Joan], Pamies-Sans, M.[Magi], Bellvert, J.[Joaquim],
Accounting for Almond Crop Water Use under Different Irrigation Regimes with a Two-Source Energy Balance Model and Copernicus-Based Inputs,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Wang, S.[Suping], Zhang, Q.[Qiang], Yue, P.[Ping], Wang, J.S.[Jian-Shun], Yang, J.[Jinhu], Wang, W.[Wei], Zhang, H.L.[Hong-Li], Ren, X.[Xueyuan],
Precipitation-Use Efficiency and Its Conversion with Climate Types in Mainland China,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Hao, H.C.[Hai-Chao], Chen, Y.N.[Ya-Ning], Xu, J.H.[Jian-Hua], Li, Z.[Zhi], Li, Y.P.[Yu-Peng], Kayumba, P.M.[Patient Mindje],
Water Deficit May Cause Vegetation Browning in Central Asia,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Wei, S.Q.[Shi-Qi], Xu, T.F.[Tian-Fang], Niu, G.Y.[Guo-Yue], Zeng, R.J.[Rui-Jie],
Estimating Irrigation Water Consumption Using Machine Learning and Remote Sensing Data in Kansas High Plains,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Junttila, S.[Samuli], Hölttä, T.[Teemu], Salmon, Y.[Yann], Filella, I.[Iolanda], Peñuelas, J.[Josep],
A Novel Method to Simultaneously Measure Leaf Gas Exchange and Water Content,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Pádua, L.[Luís], Bernardo, S.[Sara], Dinis, L.T.[Lia-Tânia], Correia, C.[Carlos], Moutinho-Pereira, J.[José], Sousa, J.J.[Joaquim J.],
The Efficiency of Foliar Kaolin Spray Assessed through UAV-Based Thermal Infrared Imagery,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wei, X.T.[Xiao-Ting], Huang, S.Z.[Sheng-Zhi], Huang, Q.[Qiang], Liu, D.[Dong], Leng, G.[Guoyong], Yang, H.B.[Hai-Bo], Duan, W.[Weili], Li, J.F.[Jian-Feng], Bai, Q.J.[Qing-Jun], Peng, J.[Jian],
Analysis of Vegetation Vulnerability Dynamics and Driving Forces to Multiple Drought Stresses in a Changing Environment,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Ma, R.[Ruixue], Wang, D.C.[Da-Cheng], Cui, X.[Ximin], Yao, X.J.[Xiao-Jing], Li, S.[Shenshen], Wang, H.[Hongsen], Liu, B.X.[Bing-Xuan],
Distribution and Driving Force of Water Use Efficiency under Vegetation Restoration on the Loess Plateau,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Molaei, B.[Behnaz], Peters, R.T.[R. Troy], Khot, L.R.[Lav R.], Stöckle, C.O.[Claudio O.],
Assessing Suitability of Auto-Selection of Hot and Cold Anchor Pixels of the UAS-METRIC Model for Developing Crop Water Use Maps,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Luo, H.[Hao], Bie, X.J.[Xiao-Juan], Yi, G.H.[Gui-Hua], Zhou, X.B.[Xia-Bing], Zhang, T.B.[Ting-Bin], Li, J.J.[Jing-Ji], Lai, P.Q.[Ping-Qing],
Dominant Impacting Factors on Water-Use Efficiency Variation in Inner Mongolia from 2001 to 2018: Vegetation or Climate?,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Ghorbanpour, A.K.[Ali Karbalaye], Kisekka, I.[Isaya], Afshar, A.[Abbas], Hessels, T.[Tim], Taraghi, M.[Mahdi], Hessari, B.[Behzad], Tourian, M.J.[Mohammad J.], Duan, Z.[Zheng],
Crop Water Productivity Mapping and Benchmarking Using Remote Sensing and Google Earth Engine Cloud Computing,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Cao, Z.[Zhe], Zhu, W.[Wei], Luo, P.P.[Ping-Ping], Wang, S.T.[Shuang-Tao], Tang, Z.[Zeming], Zhang, Y.Z.[Yu-Zhu], Guo, B.[Bin],
Spatially Non-Stationary Relationships between Changing Environment and Water Yield Services in Watersheds of China's Climate Transition Zones,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Morsy, M.[Mona], Michaelides, S.[Silas], Scholten, T.[Thomas], Dietrich, P.[Peter],
Monitoring and Integrating the Changes in Vegetated Areas with the Rate of Groundwater Use in Arid Regions,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Mei, L.[Li], Tong, S.[Siqin], Yin, S.[Shan], Bao, Y.[Yuhai], Huang, X.J.[Xiao-Jun], Alateng, T.[Tuya],
Variation Characteristics of Ecosystem Water Use Efficiency and Its Response to Human Activity and Climate Change in Inner Mongolia,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Idrees, M.[Muhammad], Ahmad, S.[Shakil], Khan, M.W.[Muhammad Wasif], Dahri, Z.H.[Zakir Hussain], Ahmad, K.[Khalil], Azmat, M.[Muhammad], Rana, I.A.[Irfan Ahmad],
Estimation of Water Balance for Anticipated Land Use in the Potohar Plateau of the Indus Basin Using SWAT,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Ma, R.[Ruixue], Cui, X.[Ximin], Wang, D.C.[Da-Cheng], Wang, S.D.[Shu-Dong], Wang, H.[Hongsen], Yao, X.J.[Xiao-Jing], Li, S.[Shenshen],
Spatial and Temporal Characteristics of Water Use Efficiency in Typical Ecosystems on the Loess Plateau in the Last 20 Years, with Drivers and Implications for Ecological Restoration,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Hao, H.C.[Hai-Chao], Hao, X.M.[Xing-Ming], Xu, J.H.[Jian-Hua], Chen, Y.N.[Ya-Ning], Zhao, H.F.[Hong-Fang], Li, Z.[Zhi], Kayumba, P.M.[Patient Mindje],
Recent Response of Vegetation Water Use Efficiency to Climate Change in Central Asia,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Wang, G.G.[Gui-Gang], Li, X.M.[Xue-Mei], Zhao, K.X.[Kai-Xin], Li, Y.K.[Yi-Kun], Sun, X.[Xuwei],
Quantifying the Spatio-Temporal Variations and Impacts of Factors on Vegetation Water Use Efficiency Using STL Decomposition and Geodetector Method,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Al-Gaadi, K.A.[Khalid A.], Madugundu, R.[Rangaswamy], Tola, E.[ElKamil], El-Hendawy, S.[Salah], Marey, S.[Samy],
Satellite-Based Determination of the Water Footprint of Carrots and Onions Grown in the Arid Climate of Saudi Arabia,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Pelosi, A.[Anna], Belfiore, O.R.[Oscar Rosario], d'Urso, G.[Guido], Chirico, G.B.[Giovanni Battista],
Assessing Crop Water Requirement and Yield by Combining ERA5-Land Reanalysis Data with CM-SAF Satellite-Based Radiation Data and Sentinel-2 Satellite Imagery,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Al-Bakri, J.T.[Jawad T.], d'Urso, G.[Guido], Calera, A.[Alfonso], Abdalhaq, E.[Eman], Altarawneh, M.[Maha], Margane, A.[Armin],
Remote Sensing for Agricultural Water Management in Jordan,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Hanoon, S.K.[Sadeq Khaleefah], Abdullah, A.F.[Ahmad Fikri], Shafri, H.Z.M.[Helmi Z. M.], Wayayok, A.[Aimrun],
A Novel Approach Based on Machine Learning and Public Engagement to Predict Water-Scarcity Risk in Urban Areas,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
BibRef


Amoo, O.T., Nakin, M.D.V., Abayomi, A., Ojugbele, H.O., Salami, A.W.,
System Dynamics Approach for Evaluating Existing and Future Water Allocation Planning Among Conflicting Users,
SmartCityApp20(45-51).
DOI Link 2012
BibRef

Sheffield, K., Abuzar, M., Whitfield, D., Mcallister, A., O'Connell, M.,
Riparian Vegetation Status and Rates of Water Use From Satellite Data,
ISPRS12(XXXIX-B8:351-356).
DOI Link 1209
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
LAI, Leaf Area Index, Land Cover Analysis .


Last update:Jan 23, 2023 at 16:42:47