22.2.9.6 Drought Monitoring, Drought Analysis

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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Koehler, J.[Jonas], Dietz, A.J.[Andreas J.], Zellner, P.[Peter], Baumhoer, C.A.[Celia A.], Dirscherl, M.[Mariel], Cattani, L.[Luca], Vlahovic, Ž.[Živa], Alasawedah, M.H.[Mohammad Hussein], Mayer, K.[Konrad], Haslinger, K.[Klaus], Bertoldi, G.[Giacomo], Jacob, A.[Alexander], Kuenzer, C.[Claudia],
Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Ji, B.[Bowen], Qin, Y.[Yanbin], Zhang, T.B.[Ting-Bin], Zhou, X.B.[Xia-Bing], Yi, G.H.[Gui-Hua], Zhang, M.T.[Meng-Ting], Li, M.L.[Meng-Lin],
Analyzing Driving Factors of Drought in Growing Season in the Inner Mongolia Based on Geodetector and GWR Models,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Rassl, A.[Annkatrin], Michel, D.[Dominik], Hirschi, M.[Martin], Duguay-Tetzlaff, A.[Anke], Seneviratne, S.I.[Sonia I.],
Climatological Drought Monitoring in Switzerland Using EUMETSAT SAF Satellite Data,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Liu, H.H.[Hui-Hui], Song, D.D.[Dong-Dong], Kong, J.L.[Jin-Ling], Mu, Z.G.[Zeng-Guang], Wang, X.X.[Xi-Xuan], Jiang, Y.Z.[Yi-Zhu], Zhang, J.Y.[Jing-Ya],
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,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Hinge, G.[Gilbert], Piplodiya, J.[Jay], Sharma, A.[Ashutosh], Hamouda, M.A.[Mohamed A.], Mohamed, M.M.[Mohamed M.],
Evaluation of Hybrid Wavelet Models for Regional Drought Forecasting,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Zhao, Y.Y.[Yang-Yang], Zhang, J.H.[Jia-Hua], Bai, Y.[Yun], Zhang, S.[Sha], Yang, S.S.[Shan-Shan], Henchiri, M.[Malak], Seka, A.M.[Ayalkibet Mekonnen], Nanzad, L.[Lkhagvadorj],
Drought Monitoring and Performance Evaluation Based on Machine Learning Fusion of Multi-Source Remote Sensing Drought Factors,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Alsafadi, K.[Karam], Bi, S.[Shuoben], Bashir, B.[Bashar], Mohammed, S.[Safwan], Sammen, S.S.[Saad Sh.], Alsalman, A.[Abdullah], Srivastava, A.K.[Amit Kumar], El Kenawy, A.[Ahmed],
Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Cheng, M.L.[Mei-Lin], Zhong, L.[Lei], Ma, Y.M.[Yao-Ming], Wang, X.[Xian], Li, P.Z.[Pei-Zhen], Wang, Z.X.[Zi-Xin], Qi, Y.T.[Yu-Ting],
A New Drought Monitoring Index on the Tibetan Plateau Based on Multisource Data and Machine Learning Methods,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Won, J.[Jeongeun], Kim, S.[Sangdan],
Ecological Drought Condition Index to Monitor Vegetation Response to Meteorological Drought in Korean Peninsula,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Rossi, J.B.[Júlia Brusso], Ruhoff, A.[Anderson], Fleischmann, A.S.[Ayan Santos], Laipelt, L.[Leonardo],
Drought Propagation in Brazilian Biomes Revealed by Remote Sensing,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Li, Z.D.[Zi-Dong], Li, C.J.[Chang-Jia], Gao, D.[Dexin], Wang, S.[Shuai],
Discrimination among Climate, Human Activities, and Ecosystem Functional-Induced Land Degradation in Southern Africa,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Jia, H.C.[Hui-Cong], Chen, F.[Fang], Du, E.[Enyu], Wang, L.[Lei],
Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Zhang, Y.H.[Yong-Hong], Xie, D.L.[Dong-Lin], Tian, W.[Wei], Zhao, H.J.[Hua-Jun], Geng, S.[Sutong], Lu, H.Y.[Huan-Yu], Ma, G.Y.[Guang-Yi], Huang, J.[Jie], Sian, K.T.C.L.K.[Kenny Thiam Choy Lim Kam],
Construction of an Integrated Drought Monitoring Model Based on Deep Learning Algorithms,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Ali, S.[Shoaib], Khorrami, B.[Behnam], Jehanzaib, M.[Muhammad], Tariq, A.[Aqil], Ajmal, M.[Muhammad], Arshad, A.[Arfan], Shafeeque, M.[Muhammad], Dilawar, A.[Adil], Basit, I.[Iqra], Zhang, L.L.[Liang-Liang], Sadri, S.[Samira], Niaz, M.A.[Muhammad Ahmad], Jamil, A.[Ahsan], Khan, S.N.[Shahid Nawaz],
Spatial Downscaling of GRACE Data Based on XGBoost Model for Improved Understanding of Hydrological Droughts in the Indus Basin Irrigation System (IBIS),
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Ma, H.[Huipeng], Cui, T.X.[Tian-Xiang], Cao, L.[Lin],
Monitoring of Drought Stress in Chinese Forests Based on Satellite Solar-Induced Chlorophyll Fluorescence and Multi-Source Remote Sensing Indices,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Qin, Y.[Yi], Qin, Y.J.[Yu-Jing], Shen, Y.C.[Yi-Chen], Li, Y.H.[Yong-Hua], Xiang, B.[Bo],
Numerical Study on the Effects of Intraseasonal Oscillations for a Persistent Drought and Hot Event in South China Summer 2022,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Zhu, Y.Y.[Yu-Ying], Zhang, H.M.[Hua-Min], Ding, M.J.[Ming-Jun], Li, L.[Lanhui], Zhang, Y.[Yili],
The Multiple Perspective Response of Vegetation to Drought on the Qinghai-Tibetan Plateau,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Ejaz, N.[Nuaman], Bahrawi, J.[Jarbou], Alghamdi, K.M.[Khalid Mohammed], Rahman, K.U.[Khalil Ur], Shang, S.[Songhao],
Drought Monitoring Using Landsat Derived Indices and Google Earth Engine Platform: A Case Study from Al-Lith Watershed, Kingdom of Saudi Arabia,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Schellenberg, K.[Konstantin], Jagdhuber, T.[Thomas], Zehner, M.[Markus], Hese, S.[Sören], Urban, M.[Marcel], Urbazaev, M.[Mikhail], Hartmann, H.[Henrik], Schmullius, C.[Christiane], Dubois, C.[Clémence],
Potential of Sentinel-1 SAR to Assess Damage in Drought-Affected Temperate Deciduous Broadleaf Forests,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

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],
Drought Disasters in China from 1991 to 2018: Analysis of Spatiotemporal Trends and Characteristics,
RS(15), No. 6, 2023, pp. 1708.
DOI Link 2304
BibRef

Du, E.[Enyu], Chen, F.[Fang], Jia, H.[Huicong], Wang, L.[Lei], Yang, A.[Aqiang],
Spatiotemporal Evolution and Hysteresis Analysis of Drought Based on Rainfed-Irrigated Arable Land,
RS(15), No. 6, 2023, pp. 1689.
DOI Link 2304
BibRef

Ullah, R.[Rahat], Khan, J.[Jahangir], Ullah, I.[Irfan], Khan, F.[Faheem], Lee, Y.[Youngmoon],
Investigating Drought and Flood Evolution Based on Remote Sensing Data Products over the Punjab Region in Pakistan,
RS(15), No. 6, 2023, pp. 1680.
DOI Link 2304
BibRef

Ye, Y.W.[Yi-Wei], Tian, R.X.[Rong-Xiang], Jin, Z.[Zhan],
Dynamic Effects of Atmosphere over and around the Tibetan Plateau on the Sustained Drought in Southwest China from 2009 to 2014,
RS(15), No. 8, 2023, pp. 2198.
DOI Link 2305
BibRef

Han, J.Q.[Jia-Qi], Zhang, J.H.[Jia-Hua], Yang, S.S.[Shan-Shan], Seka, A.M.[Ayalkibet M.],
Improved Understanding of Flash Drought from a Comparative Analysis of Drought with Different Intensification Rates,
RS(15), No. 8, 2023, pp. 2049.
DOI Link 2305
BibRef

Wang, Y.H.[Yi-Hao], Meng, L.H.[Ling-Hua], Liu, H.J.[Huan-Jun], Luo, C.[Chong], Bao, Y.L.[Yi-Lin], Qi, B.S.[Bei-Song], Zhang, X.[Xinle],
Construction and Assessment of a Drought-Monitoring Index Based on Multi-Source Data Using a Bias-Corrected Random Forest (BCRF) Model,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link 2305
BibRef

Ewane, E.B.[Ewane Basil], Mohan, M.[Midhun], Bajaj, S.[Shaurya], Galgamuwa, G.A.P.[G. A. Pabodha], Watt, M.S.[Michael S.], Arachchige, P.P.[Pavithra Pitumpe], Hudak, A.T.[Andrew T.], Richardson, G.[Gabriella], Ajithkumar, N.[Nivedhitha], Srinivasan, S.[Shruthi], Corte, A.P.D.[Ana Paula Dalla], Johnson, D.J.[Daniel J.], Broadbent, E.N.[Eben North], de-Miguel, S.[Sergio], Bruscolini, M.[Margherita], Young, D.J.N.[Derek J. N.], Shafai, S.[Shahid], Abdullah, M.M.[Meshal M.], Jaafar, W.S.W.M.[Wan Shafrina Wan Mohd], Doaemo, W.[Willie], Silva, C.A.[Carlos Alberto], Cardil, A.[Adrian],
Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

de Barros-de Sousa, L.[Lizandra], de Assunção-Montenegro, A.A.[Abelardo Antônio], da Silva, M.V.[Marcos Vinícius], Brito-Almeida, T.A.[Thayná Alice], de Carvalho, A.A.[Ailton Alves], Freire-da Silva, T.G.[Thieres George], Pedroso-de Lima, J.L.M.[João Luis Mendes],
Spatiotemporal Analysis of Rainfall and Droughts in a Semiarid Basin of Brazil: Land Use and Land Cover Dynamics,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Sun, X.P.[Xu-Peng], Wang, J.H.[Jing-Han], Ma, M.G.[Ming-Guo], Han, X.J.[Xu-Jun],
Attribution of Extreme Drought Events and Associated Physical Drivers across Southwest China Using the Budyko Framework,
RS(15), No. 11, 2023, pp. 2702.
DOI Link 2306
BibRef

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],
Spatial and Temporal Characteristics of Drought Events in Southwest China over the Past 120 Years,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Musyimi, P.K.[Peter K.], Sahbeni, G.[Ghada], Timár, G.[Gábor], Weidinger, T.[Tamás], Székely, B.[Balázs],
Analysis of Short-Term Drought Episodes Using Sentinel-3 SLSTR Data under a Semi-Arid Climate in Lower Eastern Kenya,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Ma, J.[Jiani], Zhang, C.[Chao], Li, S.[Shaner], Yang, C.C.[Cui-Cui], Chen, C.[Chang], Yun, W.J.[Wen-Ju],
Changes in Vegetation Resistance and Resilience under Different Drought Disturbances Based on NDVI and SPEI Time Series Data in Jilin Province, China,
RS(15), No. 13, 2023, pp. 3280.
DOI Link 2307
BibRef

Dong, X.J.[Xiu-Juan], Zhou, Y.[Yuke], Liang, J.[Juanzhu], Zou, D.[Dan], Wu, J.[Jiapei], Wang, J.J.[Jiao-Jiao],
Assessment of Spatiotemporal Patterns and the Effect of the Relationship between Meteorological Drought and Vegetation Dynamics in the Yangtze River Basin Based on Remotely Sensed Data,
RS(15), No. 14, 2023, pp. 3641.
DOI Link 2307
BibRef

Liu, Y.[Ying], Yu, X.Y.[Xiang-Yu], Dang, C.[Chaoya], Yue, H.[Hui], Wang, X.[Xu], Niu, H.B.[Hong-Bo], Zu, P.[Pengju], Cao, M.[Manhong],
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],
The Spread of Multiple Droughts in Different Seasons and Its Dynamic Changes,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

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],
Assessment of the Declining Degree of Farmland Shelterbelts in a Desert Oasis Based on LiDAR and Hyperspectral Imagery,
RS(15), No. 18, 2023, pp. 4508.
DOI Link 2310
BibRef

Miao, J.[Jun], An, R.[Ru], Zhang, Y.Q.[Yu-Qing], Xing, F.[Fei],
Substantial Reduction in Vegetation Photosynthesis Capacity during Compound Droughts in the Three-River Headwaters Region, China,
RS(15), No. 20, 2023, pp. 4943.
DOI Link 2310
BibRef

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
BibRef

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
BibRef

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,
RS(15), No. 22, 2023, pp. 5428.
DOI Link 2311
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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
BibRef

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
BibRef

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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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:Jan 30, 2024 at 20:33:16