23.2.9.6 Drought Monitoring, Drought Analysis, Meterological Drought

Chapter Contents (Back)
Drought Monitoring. The Agricultural Drought level:
See also Agricultural Drought.
See also Desertification.
See also Dryland Analysis and Change, Arid Regions.

Browning, D., Steele, C.,
Vegetation Index Differencing for Broad-Scale Assessment of Productivity Under Prolonged Drought and Sequential High Rainfall Conditions,
RS(5), No. 1, January 2013, pp. 327-341.
DOI Link 1302
BibRef

Berhan, G., Hill, S., Tadesse, T., Atnafu, S.,
Drought Prediction System for Improved Climate Change Mitigation,
GeoRS(52), No. 7, July 2014, pp. 4032-4037.
IEEE DOI 1403
Data models BibRef

Bajgain, R.[Rajen], Xiao, X.M.[Xiang-Ming], Wagle, P.[Pradeep], Basara, J.[Jeffrey], Zhou, Y.T.[Yu-Ting],
Sensitivity analysis of vegetation indices to drought over two tallgrass prairie sites,
PandRS(108), No. 1, 2015, pp. 151-160.
Elsevier DOI 1511
Drought BibRef

He, B.B.[Bin-Bin], Liao, Z.M.[Zhan-Mang], Quan, X.W.[Xing-Wen], Li, X.[Xing], Hu, J.J.[Jun-Jie],
A Global Grassland Drought Index (GDI) Product: Algorithm and Validation,
RS(7), No. 10, 2015, pp. 12704.
DOI Link 1511
BibRef

Klisch, A.[Anja], Atzberger, C.[Clement],
Operational Drought Monitoring in Kenya Using MODIS NDVI Time Series,
RS(8), No. 4, 2016, pp. 267.
DOI Link 1604
BibRef

Chang, S.[Sheng], Wu, B.F.[Bing-Fang], Yan, N.[Nana], Davdai, B.[Bulgan], Nasanbat, E.[Elbegjargal],
Suitability Assessment of Satellite-Derived Drought Indices for Mongolian Grassland,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Adede, C.[Chrisgone], Oboko, R.[Robert], Wagacha, P.W.[Peter Waiganjo], Atzberger, C.[Clement],
A Mixed Model Approach to Vegetation Condition Prediction Using Artificial Neural Networks (ANN): Case of Kenya's Operational Drought Monitoring,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Abbas, S.[Sawaid], Nichol, J.E.[Janet E.], Qamer, F.M.[Faisal M.], Xu, J.C.[Jian-Chu],
Characterization of Drought Development through Remote Sensing: A Case Study in Central Yunnan, China,
RS(6), No. 6, 2014, pp. 4998-5018.
DOI Link 1407
BibRef

Vicente-Serrano, S.M.[Sergio M.], Cabello, D.[Daniel], Tomás-Burguera, M.[Miquel], Martín-Hernández, N.[Natalia], Beguería, S.[Santiago], Azorin-Molina, C.[Cesar], El Kenawy, A.[Ahmed],
Drought Variability and Land Degradation in Semiarid Regions: Assessment Using Remote Sensing Data and Drought Indices (1982-2011),
RS(7), No. 4, 2015, pp. 4391-4423.
DOI Link 1505
BibRef

Ibrahim, Y.Z.[Yahaya Z.], Balzter, H.[Heiko], Kaduk, J.[Jörg], Tucker, C.J.[Compton J.],
Land Degradation Assessment Using Residual Trend Analysis of GIMMS NDVI3g, Soil Moisture and Rainfall in Sub-Saharan West Africa from 1982 to 2012,
RS(7), No. 5, 2015, pp. 5471-5494.
DOI Link 1506
BibRef

Abelen, S.[Sarah], Seitz, F.[Florian], Abarca-del-Rio, R.[Rodrigo], Güntner, A.[Andreas],
Droughts and Floods in the La Plata Basin in Soil Moisture Data and GRACE,
RS(7), No. 6, 2015, pp. 7324.
DOI Link 1507
BibRef

Coates, A.R.[Austin R.], Dennison, P.E.[Philip E.], Roberts, D.A.[Dar A.], Roth, K.L.[Keely L.],
Monitoring the Impacts of Severe Drought on Southern California Chaparral Species using Hyperspectral and Thermal Infrared Imagery,
RS(7), No. 11, 2015, pp. 14276.
DOI Link 1512
BibRef

Cammalleri, C.[Carmelo], Vogt, J.[Jürgen],
On the Role of Land Surface Temperature as Proxy of Soil Moisture Status for Drought Monitoring in Europe,
RS(7), No. 12, 2015, pp. 15857.
DOI Link 1601
BibRef

Wang, J.[Jun], Ling, Z.W.[Zi-Wei], Wang, Y.[Yang], Zeng, H.[Hui],
Improving spatial representation of soil moisture by integration of microwave observations and the temperature-vegetation-drought index derived from MODIS products,
PandRS(113), No. 1, 2016, pp. 144-154.
Elsevier DOI 1602
Land surface soil moisture BibRef

Pablos, M.[Miriam], González-Zamora, Á.[Ángel], Sánchez, N.[Nilda], Martínez-Fernández, J.[José],
Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Pablos, M.[Miriam], Martínez-Fernández, J.[José], Piles, M.[María], Sánchez, N.[Nilda], Vall-llossera, M.[Mercè], Camps, A.[Adriano],
Multi-Temporal Evaluation of Soil Moisture and Land Surface Temperature Dynamics Using in Situ and Satellite Observations,
RS(8), No. 7, 2016, pp. 587.
DOI Link 1608
BibRef

Enenkel, M.[Markus], Steiner, C.[Caroline], Mistelbauer, T.[Thomas], Dorigo, W.[Wouter], Wagner, W.[Wolfgang], See, L.[Linda], Atzberger, C.[Clement], Schneider, S.[Stefan], Rogenhofer, E.[Edith],
A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations,
RS(8), No. 4, 2016, pp. 340.
DOI Link 1604
BibRef

Guo, H.[Hao], Bao, A.[Anming], Liu, T.[Tie], Chen, S.[Sheng], Ndayisaba, F.[Felix],
Evaluation of PERSIANN-CDR for Meteorological Drought Monitoring over China,
RS(8), No. 5, 2016, pp. 379.
DOI Link 1606
BibRef

Liu, J.T.[Jiang-Tao], Xu, Z.X.[Zong-Xue], Bai, J.R.[Jun-Rui], Peng, D.Z.[Ding-Zhi], Ren, M.F.[Mei-Fang],
Assessment and Correction of the PERSIANN-CDR Product in the Yarlung Zangbo River Basin, China,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

van Hoek, M.[Mattijn], Jia, L.[Li], Zhou, J.[Jie], Zheng, C.[Chaolei], Menenti, M.[Massimo],
Early Drought Detection by Spectral Analysis of Satellite Time Series of Precipitation and Normalized Difference Vegetation Index (NDVI),
RS(8), No. 5, 2016, pp. 422.
DOI Link 1606
BibRef

Zhao, X.[Xiang], Wei, H.[Hong], Liang, S.L.[Shun-Lin], Zhou, T.[Tao], He, B.[Bin], Tang, B.[Bijian], Wu, D.H.[Dong-Hai],
Responses of Natural Vegetation to Different Stages of Extreme Drought during 2009-2010 in Southwestern China,
RS(7), No. 10, 2015, pp. 14039.
DOI Link 1511
BibRef

Cheng, C.H.[Chi-Han], Nnadi, F.[Fidelia], Liou, Y.A.[Yuei-An],
A Regional Land Use Drought Index for Florida,
RS(7), No. 12, 2015, pp. 15879.
DOI Link 1601
BibRef

Wang, S.H.[Si-Heng], Huang, C.P.[Chang-Ping], Zhang, L.F.[Li-Fu], Lin, Y.[Yi], Cen, Y.[Yi], Wu, T.X.[Tai-Xia],
Monitoring and Assessing the 2012 Drought in the Great Plains: Analyzing Satellite-Retrieved Solar-Induced Chlorophyll Fluorescence, Drought Indices, and Gross Primary Production,
RS(8), No. 2, 2016, pp. 61.
DOI Link 1603
BibRef

Zhang, L.[Lifu], Qiao, N.[Na], Huang, C.P.[Chang-Ping], Wang, S.H.[Si-Heng],
Monitoring Drought Effects on Vegetation Productivity Using Satellite Solar-Induced Chlorophyll Fluorescence,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Jiao, W.Z.[Wen-Zhe], Zhang, L.[Lifu], Chang, Q.[Qing], Fu, D.J.[Dong-Jie], Cen, Y.[Yi], Tong, Q.X.[Qing-Xi],
Evaluating an Enhanced Vegetation Condition Index (VCI) Based on VIUPD for Drought Monitoring in the Continental United States,
RS(8), No. 3, 2016, pp. 224.
DOI Link 1604
BibRef

Hashim, M.[Mazlan], Reba, N.M.[Nadzri M.], Nadzri, M.I.[Muhammad I.], Pour, A.B.[Amin B.], Mahmud, M.R.[Mohd R.], Yusoff, A.R.M.[Abdull R. Mohd], Ali, M.I.[Mohamad I.], Jaw, S.W., Hossain, M.S.[Mohammad S.],
Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia,
RS(8), No. 8, 2016, pp. 633.
DOI Link 1609
BibRef

Tian, M.[Miao], Wang, P.X.[Peng-Xin], Khan, J.[Jahangir],
Drought Forecasting with Vegetation Temperature Condition Index Using ARIMA Models in the Guanzhong Plain,
RS(8), No. 9, 2016, pp. 690.
DOI Link 1610
BibRef

Dorjsuren, M.[Munkhzul], Liou, Y.A.[Yuei-An], Cheng, C.H.[Chi-Han],
Time Series MODIS and in Situ Data Analysis for Mongolia Drought,
RS(8), No. 6, 2016, pp. 509.
DOI Link 1608
BibRef

Sakai, T.[Toru], Matsunaga, T.[Tsuneo], Maksyutov, S.[Shamil], Gotovtsev, S.[Semen], Gagarin, L.[Leonid], Hiyama, T.[Tetsuya], Yamaguchi, Y.S.[Yasu-Shi],
Climate-Induced Extreme Hydrologic Events in the Arctic,
RS(8), No. 11, 2016, pp. 971.
DOI Link 1612
BibRef

Zribi, M.[Mehrez], Dridi, G.[Ghofrane], Amri, R.[Rim], Lili-Chabaane, Z.[Zohra],
Analysis of the Effects of Drought on Vegetation Cover in a Mediterranean Region through the Use of SPOT-VGT and TERRA-MODIS Long Time Series,
RS(8), No. 12, 2016, pp. 992.
DOI Link 1612
BibRef

Du, L.T.[Ling-Tong], Song, N.P.[Nai-Ping], Liu, K.[Ke], Hou, J.[Jing], Hu, Y.[Yue], Zhu, Y.G.[Yu-Guo], Wang, X.Y.[Xin-Yun], Wang, L.[Lei], Guo, Y.[Yige],
Comparison of Two Simulation Methods of the Temperature Vegetation Dryness Index (TVDI) for Drought Monitoring in Semi-Arid Regions of China,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Satgé, F.[Frédéric], Espinoza, R.[Raúl], Zolá, R.P.[Ramiro Pillco], Roig, H.[Henrique], Timouk, F.[Franck], Molina, J.[Jorge], Garnier, J.[Jérémie], Calmant, S.[Stéphane], Seyler, F.[Frédérique], Bonnet, M.P.[Marie-Paule],
Role of Climate Variability and Human Activity on Poopó Lake Droughts between 1990 and 2015 Assessed Using Remote Sensing Data,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Maimaitiyiming, M.[Matthew], Ghulam, A.[Abduwasit], Bozzolo, A.[Arianna], Wilkins, J.L.[Joseph L.], Kwasniewski, M.T.[Misha T.],
Early Detection of Plant Physiological Responses to Different Levels of Water Stress Using Reflectance Spectroscopy,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Jin, J.X.[Jia-Xin], Wang, Y.[Ying], Zhang, Z.[Zhen], Magliulo, V.[Vincenzo], Jiang, H.[Hong], Cheng, M.[Min],
Phenology Plays an Important Role in the Regulation of Terrestrial Ecosystem Water-Use Efficiency in the Northern Hemisphere,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Jiang, X.[Xun], Kao, A.[Angela], Corbett, A.[Abigail], Olsen, E.[Edward], Pagano, T.S.[Thomas S.], Zhai, A.[Albert], Newman, S.[Sally], Li, L.M.[Li-Ming], Yung, Y.[Yuk],
Influence of Droughts on Mid-Tropospheric CO2,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Huntra, P.[Patcha], Keener, T.C.[Tim C.],
Evaluating the Impact of Meteorological Factors on Water Demand in the Las Vegas Valley Using Time-Series Analysis: 1990-2014,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Schmitter, P., Steinrücken, J., Römer, C., Ballvora, A., Léon, J., Rascher, U., Plümer, L.,
Unsupervised domain adaptation for early detection of drought stress in hyperspectral images,
PandRS(131), No. 1, 2017, pp. 65-76.
Elsevier DOI 1709
Unsupervised, domain, adaptation BibRef

Ma, S.[Siyu], Wu, Q.X.[Qian-Xin], Wang, J.[Jie], Zhang, S.Q.[Shi-Qiang],
Temporal Evolution of Regional Drought Detected from GRACE TWSA and CCI SM in Yunnan Province, China,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Zhang, C.[Chao], Filella, I.[Iolanda], Liu, D.[Daijun], Ogaya, R.[Romà], Llusià, J.[Joan], Asensio, D.[Dolores], Peñuelas, J.[Josep],
Photochemical Reflectance Index (PRI) for Detecting Responses of Diurnal and Seasonal Photosynthetic Activity to Experimental Drought and Warming in a Mediterranean Shrubland,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Filella, I.[Iolanda], Zhang, C.[Chao], Seco, R.[Roger], Potosnak, M.[Mark], Guenther, A.[Alex], Karl, T.[Thomas], Gamon, J.[John], Pallardy, S.[Stephen], Gu, L.H.[Lian-Hong], Kim, S.[Saewung], Balzarolo, M.[Manuela], Fernandez-Martinez, M.[Marcos], Penuelas, J.[Josep],
A MODIS Photochemical Reflectance Index (PRI) as an Estimator of Isoprene Emissions in a Temperate Deciduous Forest,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Cui, T.F.[Teng-Fei], Martz, L.[Lawrence], Guo, X.[Xulin],
Grassland Phenology Response to Drought in the Canadian Prairies,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Liu, S.L.[Shi-Liang], Zhang, Y.Q.[Yue-Qiu], Cheng, F.Y.[Fang-Yan], Hou, X.Y.[Xiao-Yun], Zhao, S.[Shuang],
Response of Grassland Degradation to Drought at Different Time-Scales in Qinghai Province: Spatio-Temporal Characteristics, Correlation, and Implications,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Chen, Z.[Zheng], Jiang, W.G.[Wei-Guo], Wang, W.J.[Wen-Jie], Deng, Y.[Yue], He, B.[Bin], Jia, K.[Kai],
The Impact of Precipitation Deficit and Urbanization on Variations in Water Storage in the Beijing-Tianjin-Hebei Urban Agglomeration,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Xu, Y.P.[Ya-Ping], Wang, L.[Lei], Ross, K.W.[Kenton W.], Liu, C.L.[Cui-Ling], Berry, K.[Kimberly],
Standardized Soil Moisture Index for Drought Monitoring Based on Soil Moisture Active Passive Observations and 36 Years of North American Land Data Assimilation System Data: A Case Study in the Southeast United States,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Xia, L.[Lang], Zhao, F.[Fen], Mao, K.[Kebiao], Yuan, Z.J.[Zi-Jin], Zuo, Z.Y.[Zhi-Yuan], Xu, T.R.[Tong-Ren],
SPI-Based Analyses of Drought Changes over the Past 60 Years in China's Major Crop-Growing Areas,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Small, E.E.[Eric E.], Roesler, C.J.[Carolyn J.], Larson, K.M.[Kristine M.],
Vegetation Response to the 2012-2014 California Drought from GPS and Optical Measurements,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Kang, W.P.[Wen-Ping], Wang, T.[Tao], Liu, S.[Shulin],
The Response of Vegetation Phenology and Productivity to Drought in Semi-Arid Regions of Northern China,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Liu, Y.[Ying], Yue, H.[Hui],
The Temperature Vegetation Dryness Index (TVDI) Based on Bi-Parabolic NDVI-Ts Space and Gradient-Based Structural Similarity (GSSIM) for Long-Term Drought Assessment Across Shaanxi Province, China (2000-2016),
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Zhao, Q.[Qi], Chen, Q.Y.[Qian-Yun], Jiao, M.Y.[Meng-Yan], Wu, P.[Pute], Gao, X.[Xuerui], Ma, M.H.[Mei-Hong], Hong, Y.[Yang],
The Temporal-Spatial Characteristics of Drought in the Loess Plateau Using the Remote-Sensed TRMM Precipitation Data from 1998 to 2014,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Gerhards, M.[Max], Schlerf, M.[Martin], Rascher, U.[Uwe], Udelhoven, T.[Thomas], Juszczak, R.[Radoslaw], Alberti, G.[Giorgio], Miglietta, F.[Franco], Inoue, Y.[Yoshio],
Analysis of Airborne Optical and Thermal Imagery for Detection of Water Stress Symptoms,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Souza, A.G.S.S.[Alzira G. S. S.], Neto, A.R.[Alfredo Ribeiro], Rossato, L.[Luciana], Alvalá, R.C.S.[Regina C. S.], Souza, L.L.[Laio L.],
Use of SMOS L3 Soil Moisture Data: Validation and Drought Assessment for Pernambuco State, Northeast Brazil,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Sazib, N.[Nazmus], Mladenova, I.[Iliana], Bolten, J.[John],
Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Elhag, K.M.[Khalid. M.], Zhang, W.[Wanchang],
Monitoring and Assessment of Drought Focused on Its Impact on Sorghum Yield over Sudan by Using Meteorological Drought Indices for the Period 2001-2011,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Sawada, Y.[Yohei],
Quantifying Drought Propagation from Soil Moisture to Vegetation Dynamics Using a Newly Developed Ecohydrological Land Reanalysis,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Chen, X.H.[Xu-Hui], Jiang, J.B.[Jin-Bao], Li, H.[Hui],
Drought and Flood Monitoring of the Liao River Basin in Northeast China Using Extended GRACE Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Lai, C.G.[Cheng-Guang], Li, J.[Jun], Wang, Z.L.[Zhao-Li], Wu, X.Q.[Xiao-Qing], Zeng, Z.Y.[Zhao-Yang], Chen, X.H.[Xiao-Hong], Lian, Y.Q.[Yan-Qing], Yu, H.J.[Hai-Jun], Wang, P.[Peng], Bai, X.Y.[Xiao-Yan],
Drought-Induced Reduction in Net Primary Productivity across Mainland China from 1982 to 2015,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Urban, M.[Marcel], Berger, C.[Christian], Mudau, T.E.[Tami E.], Heckel, K.[Kai], Truckenbrodt, J.[John], Odipo, V.O.[Victor Onyango], Smit, I.P.J.[Izak P. J.], Schmullius, C.[Christiane],
Surface Moisture and Vegetation Cover Analysis for Drought Monitoring in the Southern Kruger National Park Using Sentinel-1, Sentinel-2, and Landsat-8,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Ye, S.J.[Si-Jing], Liu, D.[Diyou], Yao, X.C.[Xiao-Chuang], Tang, H.Z.[Huai-Zhi], Xiong, Q.[Quan], Zhuo, W.[Wen], Du, Z.[Zhenbo], Huang, J.X.[Jian-Xi], Su, W.[Wei], Shen, S.[Shi], Zhao, Z.L.[Zu-Liang], Cui, S.L.[Shao-Long], Ning, L.X.[Li-Xin], Zhu, D.H.[De-Hai], Cheng, C.X.[Chang-Xiu], Song, C.Q.[Chang-Qing],
RDCRMG: A Raster Dataset Clean & Reconstitution Multi-Grid Architecture for Remote Sensing Monitoring of Vegetation Dryness,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Holzman, M.E.[Mauro E.], Carmona, F.[Facundo], Rivas, R.[Raúl], Niclòs, R.[Raquel],
Early assessment of crop yield from remotely sensed water stress and solar radiation data,
PandRS(145), 2018, pp. 297-308.
Elsevier DOI 1811
Food security, Yield estimation, Evapotranspiration, Crop water stress BibRef

Shivers, S.W.[Sarah W.], Roberts, D.A.[Dar A.], McFadden, J.P.[Joseph P.], Tague, C.[Christina],
Using Imaging Spectrometry to Study Changes in Crop Area in California's Central Valley during Drought,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Park, S.[Seonyoung], Seo, E.[Eunkyo], Kang, D.[Daehyun], Im, J.[Jungho], Lee, M.I.[Myong-In],
Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Wang, F.[Fei], Wang, Z.M.[Zong-Min], Yang, H.B.[Hai-Bo], Zhao, Y.[Yong], Li, Z.H.[Zhen-Hong], Wu, J.P.[Jia-Peng],
Capability of Remotely Sensed Drought Indices for Representing the Spatio-Temporal Variations of the Meteorological Droughts in the Yellow River Basin,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Barbosa, H.A.[Humberto Alves], Kumar, T.V.L.[T.V. Lakshmi], Paredes, F.[Franklin], Elliott, S.[Simon], Ayuga, J.G.,
Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008-2016),
PandRS(148), 2019, pp. 235-252.
Elsevier DOI 1901
Rain-gauge stations, Vegetation index, vegetation, Operational drought, Vegetative drought, SEVIRI BibRef

Tran, H.T.[Hoa Thi], Campbell, J.B.[James B.], Wynne, R.H.[Randolph H.], Shao, Y.[Yang], Phan, S.V.[Son Viet],
Drought and Human Impacts on Land Use and Land Cover Change in a Vietnamese Coastal Area,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Champagne, C.[Catherine], White, J.[Jenelle], Berg, A.[Aaron], Belair, S.[Stephane], Carrera, M.[Marco],
Impact of Soil Moisture Data Characteristics on the Sensitivity to Crop Yields Under Drought and Excess Moisture Conditions,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Pandey, V.[Varsha], Srivastava, P.K.[Prashant K.],
Integration of Microwave and Optical/Infrared Derived Datasets for a Drought Hazard Inventory in a Sub-Tropical Region of India,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zhang, X.J.[Xue-Jun], Su, Z.C.[Zhi-Cheng], Lv, J.[Juan], Liu, W.W.[Wei-Wei], Ma, M.M.[Miao-Miao], Peng, J.[Jian], Leng, G.Y.[Guo-Yong],
A Set of Satellite-Based Near Real-Time Meteorological Drought Monitoring Data over China,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Wang, F.[Fei], Yang, H.B.[Hai-Bo], Wang, Z.M.[Zong-Min], Zhang, Z.Z.[Ze-Zhong], Li, Z.H.[Zhen-Hong],
Drought Evaluation with CMORPH Satellite Precipitation Data in the Yellow River Basin by Using Gridded Standardized Precipitation Evapotranspiration Index,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Measho, S.[Simon], Chen, B.Z.[Bao-Zhang], Trisurat, Y.[Yongyut], Pellikka, P.[Petri], Guo, L.F.[Li-Feng], Arunyawat, S.[Sunsanee], Tuankrua, V.[Venus], Ogbazghi, W.[Woldeselassie], Yemane, T.[Tecle],
Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Zhang, J.Y.[Jie-Yun], Zhang, Q.L.[Qing-Ling], Bao, A.M.[An-Ming], Wang, Y.J.[Yu-Juan],
A New Remote Sensing Dryness Index Based on the Near-Infrared and Red Spectral Space,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Qian, X.[Xin], Qiu, B.[Bo], Zhang, Y.G.[Yong-Guang],
Widespread Decline in Vegetation Photosynthesis in Southeast Asia Due to the Prolonged Drought During the 2015/2016 El Niño,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Blyverket, J.[Jostein], Hamer, P.D.[Paul D.], Schneider, P.[Philipp], Albergel, C.[Clément], Lahoz, W.A.[William A.],
Monitoring Soil Moisture Drought over Northern High Latitudes from Space,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Zhu, Q.[Qian], Luo, Y.L.[Yu-Lin], Zhou, D.Y.[Dong-Yang], Xu, Y.P.[Yue-Ping], Wang, G.Q.[Guo-Qing], Gao, H.Y.[Hai-Ying],
Drought Monitoring Utility using Satellite-Based Precipitation Products over the Xiang River Basin in China,
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Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco,
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Ha, T.V.[Tuyen V.], Huth, J.[Juliane], Bachofer, F.[Felix], Kuenzer, C.[Claudia],
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Complementarity Characteristics of Actual and Potential Evapotranspiration and Spatiotemporal Changes in Evapotranspiration Drought Index over Ningxia in the Upper Reaches of the Yellow River in China,
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Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets,
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Rossi, J.B.[Júlia Brusso], Ruhoff, A.[Anderson], Fleischmann, A.S.[Ayan Santos], Laipelt, L.[Leonardo],
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Li, Z.D.[Zi-Dong], Li, C.J.[Chang-Jia], Gao, D.[Dexin], Wang, S.[Shuai],
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Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS),
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Potential of Sentinel-1 SAR to Assess Damage in Drought-Affected Temperate Deciduous Broadleaf Forests,
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Wang, X.F.[Xiao-Feng], Luo, P.P.[Ping-Ping], Zheng, Y.[Yue], Duan, W.[Weili], Wang, S.T.[Shuang-Tao], Zhu, W.[Wei], Zhang, Y.Z.[Yu-Zhu], Nover, D.[Daniel],
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Du, E.[Enyu], Chen, F.[Fang], Jia, H.[Huicong], Wang, L.[Lei], Yang, A.[Aqiang],
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DOI Link 2304
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Investigating Drought and Flood Evolution Based on Remote Sensing Data Products over the Punjab Region in Pakistan,
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Ye, Y.W.[Yi-Wei], Tian, R.X.[Rong-Xiang], Jin, Z.[Zhan],
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RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Spatiotemporal Analysis of Rainfall and Droughts in a Semiarid Basin of Brazil: Land Use and Land Cover Dynamics,
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DOI Link 2306
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Wang, Y.[Ying], Wang, Y.M.[Yuan-Mou], Chen, Y.[Yanan], Chen, H.[Huan], Li, X.T.[Xing-Ting], Ding, Z.[Zhi], Han, X.J.[Xu-Jun], Tang, X.G.[Xu-Guang],
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DOI Link 2307
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Musyimi, P.K.[Peter K.], Sahbeni, G.[Ghada], Timár, G.[Gábor], Weidinger, T.[Tamás], Székely, B.[Balázs],
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A dryness index TSWDI based on land surface temperature, sun-induced chlorophyll fluorescence, and water balance,
PandRS(202), 2023, pp. 581-598.
Elsevier DOI 2308
Sun-induced chlorophyll fluorescence, Dryness indices, Spatio-temporal changes and patterns, Time lag analysis BibRef

Zhu, S.[Shuang], Huang, W.Y.[Wen-Ying], Luo, X.G.[Xian-Gang], Guo, J.[Jun], Yuan, Z.[Zhe],
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RS(15), No. 15, 2023, pp. xx-yy.
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Luo, C.W.[Cheng-Wei], Yang, Y.[Yuli], Xin, Z.M.[Zhi-Ming], Li, J.R.[Jun-Ran], Jia, X.X.[Xiao-Xiao], Fan, G.P.[Guang-Peng], Zhu, J.Y.[Jun-Ying], Song, J.[Jindui], Wang, Z.[Zhou], Xiao, H.J.[Hui-Jie],
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Miao, J.[Jun], An, R.[Ru], Zhang, Y.Q.[Yu-Qing], Xing, F.[Fei],
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DOI Link 2310
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Guo, J.[Jian], Yang, X.[Xiuchun], Jiang, W.G.[Wei-Guo], Xing, X.Y.[Xiao-Yu], Zhang, M.[Min], Chen, A.[Ang], Yang, D.[Dong], Yang, M.X.[Ming-Xin], Wei, L.[Lunda], Xu, B.[Bin],
Resistance of Grassland under Different Drought Types in the Inner Mongolia Autonomous Region of China,
RS(15), No. 20, 2023, pp. 5045.
DOI Link 2310
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Zhao, L.L.[Long-Long], Li, H.Z.[Hong-Zhong], Huang, W.J.[Wen-Jiang], Dong, Y.Y.[Ying-Ying], Geng, Y.[Yun], Ma, H.Q.[Hui-Qin], Chen, J.S.[Jin-Song],
Outbreak Mechanism of Locust Plagues under Dynamic Drought and Flood Environments Based on Time Series Remote Sensing Data: Implication for Identifying Potential High-Risk Locust Areas,
RS(15), No. 21, 2023, pp. 5206.
DOI Link 2311
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Feng, A.[Aiqing], Liu, L.[Lulu], Wang, G.[Guofu], Tang, J.[Jian], Zhang, X.J.[Xue-Jun], Chen, Y.X.[Yi-Xiao], He, X.J.[Xiang-Jun], Liu, P.[Ping],
Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI),
RS(15), No. 22, 2023, pp. 5410.
DOI Link 2311
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Gessner, U.[Ursula], Reinermann, S.[Sophie], Asam, S.[Sarah], Kuenzer, C.[Claudia],
Vegetation Stress Monitor: Assessment of Drought and Temperature-Related Effects on Vegetation in Germany Analyzing MODIS Time Series over 23 Years,
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Li, R.[Rui], Shi, J.C.[Jian-Cheng], Pan, J.[Jinmei], Yan, N.[Nana], Zhao, T.J.[Tian-Jie], Zhang, Q.[Qingtao], Wang, Y.[Yu],
Can the Accuracy of Fine-Resolution Precipitation Products Be Assessed from the Surrounding Water Balance and Drought Chain (WBDC) in the Qinghai-Tibetan Plateau?,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
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Wu, Y.T.[Ya-Tang], Shao, C.L.[Chang-Liang], Zhang, J.[Jing], Liu, Y.L.[Yi-Liang], Li, H.[Han], Ma, L.[Leichao], Li, M.[Ming], Shen, B.B.[Bei-Bei], Hou, L.[Lulu], Chen, S.Y.[Shi-Yang], Xu, D.W.[Da-Wei], Xin, X.P.[Xiao-Ping], Liu, X.[Xiaoni],
Elevation-Dependent Contribution of the Response and Sensitivity of Vegetation Greenness to Hydrothermal Conditions on the Grasslands of Tibet Plateau from 2000 to 2021,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
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Oukaddour, K.[Kaoutar], Le Page, M.[Michel], Fakir, Y.[Younes],
Toward a Redefinition of Agricultural Drought Periods: A Case Study in a Mediterranean Semi-Arid Region,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
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Acosta-Hernández, A.C.[Andrea Cecilia], Pompa-García, M.[Marín], Martínez-Rivas, J.A.[José Alexis], Vivar-Vivar, E.D.[Eduardo Daniel],
Cutting the Greenness Index into 12 Monthly Slices: How Intra-Annual NDVI Dynamics Help Decipher Drought Responses in Mixed Forest Tree Species,
RS(16), No. 2, 2024, pp. 389.
DOI Link 2402
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Li, T.[Ting], Sun, Q.[Qiaoqi], Zou, H.F.[Hong-Fei], Marschner, P.[Petra],
Climate Sensitivity and Drought Legacy of Tree Growth in Plantation Forests in Northeast China Are Species- and Age-Dependent,
RS(16), No. 2, 2024, pp. 281.
DOI Link 2402
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Lu, J.[Jie], Qin, T.L.[Tian-Ling], Yan, D.[Denghua], Lv, X.[Xizhi], Yuan, Z.[Zhe], Wen, J.[Jie], Xu, S.[Shu], Yang, Y.H.[Yu-Hui], Feng, J.M.[Jian-Ming], Li, W.[Wei],
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RS(16), No. 4, 2024, pp. 630.
DOI Link 2402
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Li, P.[Peng], Jia, L.[Li], Lu, J.[Jing], Jiang, M.[Min], Zheng, C.[Chaolei],
A New Evapotranspiration-Based Drought Index for Flash Drought Identification and Monitoring,
RS(16), No. 5, 2024, pp. 780.
DOI Link 2403
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Zhang, H.H.[Hui-Hui], Loaiciga, H.A.[Hugo A.], Sauter, T.[Tobias],
A Novel Fusion-Based Methodology for Drought Forecasting,
RS(16), No. 5, 2024, pp. 828.
DOI Link 2403
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Staszel, J.[Jakub], Lupa, M.[Michal], Adamek, K.[Katarzyna], Wilkosz, M.[Michal], Marcinkowska-Ochtyra, A.[Adriana], Ochtyra, A.[Adrian],
Spatial Insights into Drought Severity: Multi-Index Assessment in Malopolska, Poland, via Satellite Observations,
RS(16), No. 5, 2024, pp. 836.
DOI Link 2403
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Andreadis, K.M.[Konstantinos M.], Meason, D.[Dean], Corbett-Lad, P.[Priscilla], Höck, B.[Barbara], Das, N.[Narendra],
Hydrologic Consistency of Multi-Sensor Drought Observations in Forested Environments,
RS(16), No. 5, 2024, pp. 852.
DOI Link 2403
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Bai, Y.[Yan], Zhu, Y.Q.[Yun-Qiang], Liu, Y.Z.[Ying-Zhen], Wang, S.[Shu],
Vegetation Greening and Its Response to a Warmer and Wetter Climate in the Yellow River Basin from 2000 to 2020,
RS(16), No. 5, 2024, pp. 790.
DOI Link 2403
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Cui, A.H.[Ai-Hong], Li, J.F.[Jian-Feng], Zhou, Q.M.[Qi-Ming], Zhu, H.L.[Hong-Lin], Liu, H.Z.[Hui-Zeng], Yang, C.[Chao], Wu, G.F.[Guo-Feng], Li, Q.Q.[Qing-Quan],
Propagation Dynamics from Meteorological Drought to GRACE-Based Hydrological Drought and Its Influencing Factors,
RS(16), No. 6, 2024, pp. 976.
DOI Link 2403
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Wagner, F.H.[Fabien H.], Favrichon, S.[Samuel], Dalagnol, R.[Ricardo], Hirye, M.C.M.[Mayumi C. M.], Mullissa, A.[Adugna], Saatchi, S.[Sassan],
The Amazon's 2023 Drought: Sentinel-1 Reveals Extreme Rio Negro River Contraction,
RS(16), No. 6, 2024, pp. 1056.
DOI Link 2403
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Alsafadi, K.[Karam], Bashir, B.[Bashar], Mohammed, S.[Safwan], Abdo, H.G.[Hazem Ghassan], Mokhtar, A.[Ali], Alsalman, A.[Abdullah], Cao, W.Z.[Wen-Zhi],
Response of Ecosystem Carbon-Water Fluxes to Extreme Drought in West Asia,
RS(16), No. 7, 2024, pp. 1179.
DOI Link 2404
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Seo, M.J.[Min-Ji], Kim, H.C.[Hyun-Cheol],
Arctic Greening Trends: Change Points in Satellite-Derived Normalized Difference Vegetation Indexes and Their Correlation with Climate Variables over the Last Two Decades,
RS(16), No. 7, 2024, pp. 1160.
DOI Link 2404
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Sun, J.H.[Jia-Hao], Wu, Y.F.[Yan-Feng], Zhang, Q.S.[Qing-Song], Jiang, L.[Lili], Ma, Q.S.[Qiu-Sheng], Chen, M.[Mo], Dai, C.L.[Chang-Lei], Zhang, G.X.[Guang-Xin],
Spatiotemporal Variation in Water Deficit- and Heatwave-Driven Flash Droughts in Songnen Plain and Its Ecological Impact,
RS(16), No. 8, 2024, pp. 1408.
DOI Link 2405
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Cui, L.[Lilu], Zhong, L.[Linhao], Meng, J.C.[Jia-Cheng], An, J.[Jiachun], Zhang, C.[Cheng], Li, Y.[Yu],
Spatiotemporal Evolution Features of the 2022 Compound Hot and Drought Event over the Yangtze River Basin,
RS(16), No. 8, 2024, pp. 1367.
DOI Link 2405
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Diao, C.Y.[Chun-Yuan], Augspurger, C.K.[Carol K.], Zhao, Y.L.[Yi-Lun], Salk, C.F.[Carl F.],
A satellite-field phenological bridging framework for characterizing community-level spring forest phenology using multi-scale satellite imagery,
PandRS(211), 2024, pp. 83-103.
Elsevier DOI 2405
Spring phenology, Forest community, Remote sensing, Field observations, Phenological indicator BibRef

Yang, F.[Fan], Liu, C.[Chao], Chen, Q.Q.[Qian-Qian], Lai, J.B.[Jian-Bin], Liu, T.[Tiegang],
Earlier Spring-Summer Phenology and Higher Photosynthetic Peak Altered the Seasonal Patterns of Vegetation Productivity in Alpine Ecosystems,
RS(16), No. 9, 2024, pp. 1580.
DOI Link 2405
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Li, X.[Xia], Pan, Y.J.[Yong-Jie],
The Impacts of Drought Changes on Alpine Vegetation during the Growing Season over the Tibetan Plateau in 1982-2018,
RS(16), No. 11, 2024, pp. 1909.
DOI Link 2406
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Xu, J.F.[Jun-Feng], Wu, T.[Ting], Peng, D.[Dailiang], Fu, X.[Xuewei], Yan, K.[Kai], Lou, Z.H.[Zi-Hang], Zhang, X.Y.[Xiao-Yang],
Matching Spring Phenology Indicators in Ground Observations and Remote-Sensing Metrics,
RS(16), No. 13, 2024, pp. 2309.
DOI Link 2407
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Mirzaei, S.[Saham], Pascucci, S.[Simone], Carfora, M.F.[Maria Francesca], Casa, R.[Raffaele], Rossi, F.[Francesco], Santini, F.[Federico], Palombo, A.[Angelo], Laneve, G.[Giovanni], Pignatti, S.[Stefano],
Early-Season Crop Mapping by PRISMA Images Using Machine/Deep Learning Approaches: Italy and Iran Test Cases,
RS(16), No. 13, 2024, pp. 2431.
DOI Link 2407
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Jiménez, J.C.[Juan Carlos], Miranda, V.[Vitor], Trigo, I.[Isabel], Libonati, R.[Renata], Albuquerque, R.[Ronaldo], Peres, L.F.[Leonardo F.], Espinoza, J.C.[Jhan-Carlo], Marengo, J.A.[José Antonio],
Vegetation Warming and Greenness Decline across Amazonia during the Extreme Drought of 2023,
RS(16), No. 14, 2024, pp. 2519.
DOI Link 2408
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Xu, C.[Chi], Zhang, Z.J.[Zhi-Jie], Fu, Z.H.[Zheng-Hui], Xiong, S.[Shenqing], Chen, H.[Hao], Zhang, W.[Wanchang], Wang, S.[Shuhang], Zhang, D.H.[Dong-Hui], Lu, H.[Heng], Jiang, X.[Xia],
Impacts of Climatic Fluctuations and Vegetation Greening on Regional Hydrological Processes: A Case Study in the Xiaoxinganling Mountains-Sanjiang Plain Region, Northeastern China,
RS(16), No. 15, 2024, pp. 2709.
DOI Link 2408
BibRef

Zhou, Q.[Qu], Guan, K.Y.[Kai-Yu], Wang, S.[Sheng], Hipple, J.[James], Chen, Z.[Zhangliang],
From satellite-based phenological metrics to crop planting dates: Deriving field-level planting dates for corn and soybean in the U.S. Midwest,
PandRS(216), 2024, pp. 259-273.
Elsevier DOI 2408
Planting Dates, Phenology, Required Growing Degree Days, Corn and Soybean, U.S. Midwest, Harmonized Landsat and Sentinel-2 BibRef

Chen, S.Y.[Si-Yuan], Qiu, R.N.[Ruo-Nan], Chen, Y.M.[Yu-Min], Gong, W.[Wei], Han, G.[Ge],
Impacts of Drought and Heatwave on the Vegetation and Ecosystem in the Yangtze River Basin in 2022,
RS(16), No. 16, 2024, pp. 2889.
DOI Link 2408
BibRef

Zhang, C.Y.[Cheng-Yuan], Han, Z.M.[Zhi-Ming], Wang, S.[Shuo], Wang, J.K.[Jian-Kun], Cui, C.F.[Chen-Feng], Liu, J.[Junrong],
Accelerated Atmospheric to Hydrological Spread of Drought in the Yangtze River Basin under Climate,
RS(16), No. 16, 2024, pp. 3033.
DOI Link 2408
BibRef

Kotzur, I.[Ivan], Moore, B.D.[Ben D.], Meakin, C.[Chris], Evans, M.J.[Maldwyn J.], Youngentob, K.N.[Kara N.],
Identifying Habitat Productivity Thresholds to Assess the Effects of Drought on a Specialist Folivore,
RS(16), No. 17, 2024, pp. 3279.
DOI Link 2409
BibRef

Deng, B.[Bowen], Liu, C.[Chenli], Zhang, E.[Enwei], He, M.J.[Meng-Jiao], Li, Y.W.[Ya-Wen], Duan, X.[Xingwu],
Satellite Observations Reveal Northward Vegetation Greenness Shifts in the Greater Mekong Subregion over the Past 23 Years,
RS(16), No. 17, 2024, pp. 3302.
DOI Link 2409
BibRef

Huang, W.W.[Wei-Wei], Henderson, M.[Mark], Liu, B.[Binhui], Su, Y.[Yuanhang], Zhou, W.Y.[Wan-Ying], Ma, R.[Rong], Chen, M.Y.[Ming-Yang], Zhang, Z.[Zhi],
Cumulative and Lagged Effects: Seasonal Characteristics of Drought Effects on East Asian Grasslands,
RS(16), No. 18, 2024, pp. 3478.
DOI Link 2410
BibRef

Jin, K.[Kai], Jin, Y.S.[Yan-Song], Li, C.[Cuijin], Li, L.[Lin],
Spatial and Temporal Dynamics in Vegetation Greenness and Its Response to Climate Change in the Tarim River Basin, China,
IJGI(13), No. 9, 2024, pp. 304.
DOI Link 2410
BibRef


Ramírez-Juidias, E.[Emilio], Madueño-Luna, A.[Antonio], Madueño-Luna, J.M.[José Miguel], López-Gordillo, M.C.[Miguel Calixto], Leiva-Piedra, J.L.[Jorge Luis],
Applying Remote Sensing Methods to Estimate Alterations in Land Cover Change and Degradation in the Desert Regions of the Southeast Iberian Peninsula,
RS(15), No. 16, 2023, pp. 3984.
DOI Link 2309
BibRef

Sun, C., Choy, S., Chua, Z., Aitkenhead, I., Kuleshov, Y.,
Geographic Information System for Drought Risk Mapping In Australia - Drought Risk Analyser Web App,
Gi4DM20(139-144).
DOI Link 2012
BibRef

Hosseini, S.A.R., Gholami, H., Esmaeilpoor, Y.,
Assessment of Land Use and Land Cover Change Detection By Using Remote Sensing and GIS Techniques in The Coastal Deserts, South of Iran,
SMPR19(489-492).
DOI Link 1912
BibRef

Zakeri, S., Samkhaniani, A., Adeli, S., Nikraftar, Z.,
Evaluation of Long Term Trend of Different Drought Indices Using Mann-kendall and Sen's Slope Estimator Over Iran,
SMPR19(1141-1145).
DOI Link 1912
BibRef

Mokhtari, R., Akhoondzadeh, M.,
Neural Network Method for Drought Modeling Using Satellite Data,
SMPR19(749-753).
DOI Link 1912
BibRef

Kordpour, I., Farzaneh, S., Shahhoseini, R.,
Drought Assessment of Iran Using The Mdi Index,
SMPR19(659-663).
DOI Link 1912
BibRef

Ebrahimian, R., Alesheikh, A.,
A Change Vector Analysis Method to Monitor Drought Using Landsat Data,
SMPR19(321-325).
DOI Link 1912
BibRef

Behifar, M., Kakroodi, A.A., Kiavarz, M., Amiraslani, F.,
Combination of Meteorological Indices and Satellite Data for Drought Monitoring in Two Different Environments in Iran,
SMPR19(197-200).
DOI Link 1912
BibRef

Srivastava, S., Bhugra, S.[Swati], Lall, B., Chaudhury, S.[Santanu],
Drought Stress Classification Using 3D Plant Models,
CVPPP17(2046-2054)
IEEE DOI 1802
Feature extraction, Image reconstruction, Neural networks, Pipelines, Solid modeling, Stress, BibRef

Bhugra, S.[Swati], Agarwal, N.[Nitish], Yadav, S.[Shubham], Banerjee, S.[Soham], Chaudhury, S.[Santanu], Lall, B.[Brejesh],
Extraction of Phenotypic Traits for Drought Stress Study Using Hyperspectral Images,
PReMI17(608-614).
Springer DOI 1711
BibRef

Wang, L.[Lin], Jing, Y.S.[Yuan-Shu],
Assessing the impact of sharp shift from drought to flood on vegetation using remote sensing,
CVRS12(356-358).
IEEE DOI 1302
BibRef

Li, B.Y.[Bin-Yong], Tang, H.P.[Hai-Ping], Chen, D.H.[Dong-Hua],
Drought Monitoring Using the Modified Temperature/Vegetation Dryness Index,
CISP09(1-5).
IEEE DOI 0910
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Agricultural Drought .


Last update:Sep 28, 2024 at 17:47:54