Agricultural Drought

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

Zambrano, F.[Francisco], Lillo-Saavedra, M.[Mario], Verbist, K.[Koen], Lagos, O.[Octavio],
Sixteen Years of Agricultural Drought Assessment of the BioBío Region in Chile Using a 250 m Resolution Vegetation Condition Index (VCI),
RS(8), No. 6, 2016, pp. 530.
DOI Link 1608

Sánchez, N.[Nilda], González-Zamora, Á.[Ángel], Piles, M.[María], Martínez-Fernández, J.[José],
A New Soil Moisture Agricultural Drought Index (SMADI) Integrating MODIS and SMOS Products: A Case of Study over the Iberian Peninsula,
RS(8), No. 4, 2016, pp. 287.
DOI Link 1604

Pablos, M.[Miriam], Martínez-Fernández, J.[José], Sánchez, N.[Nilda], González-Zamora, Á.[Ángel],
Temporal and Spatial Comparison of Agricultural Drought Indices from Moderate Resolution Satellite Soil Moisture Data over Northwest Spain,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712

Zhang, X.[Xiang], Wei, C.[Chehan], Obringer, R.[Renee], Li, D.R.[De-Ren], Chen, N.C.[Neng-Cheng], Niyogi, D.[Dev],
Gauging the Severity of the 2012 Midwestern U.S. Drought for Agriculture,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708

Bai, J.Y.[Jue-Ying], Cui, Q.[Qian], Chen, D.Q.[De-Qing], Yu, H.W.[Hai-Wei], Mao, X.D.[Xu-Dong], Meng, L.K.[Ling-Kui], Cai, Y.[Yang],
Assessment of the SMAP-Derived Soil Water Deficit Index (SWDI-SMAP) as an Agricultural Drought Index in China,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809

Zhu, Q.[Qian], Luo, Y.L.[Yu-Lin], Xu, Y.P.[Yue-Ping], Tian, Y.[Ye], Yang, T.T.[Tian-Tian],
Satellite Soil Moisture for Agricultural Drought Monitoring: Assessment of SMAP-Derived Soil Water Deficit Index in Xiang River Basin, China,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902

Bayissa, Y.[Yared], Tadesse, T.[Tsegaye], Demisse, G.[Getachew],
Building A High-Resolution Vegetation Outlook Model to Monitor Agricultural Drought for the Upper Blue Nile Basin, Ethiopia,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903

Qu, C.[Carolyn], Hao, X.J.[Xian-Jun], Qu, J.J.[John J.],
Monitoring Extreme Agricultural Drought over the Horn of Africa (HOA) Using Remote Sensing Measurements,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905

Cao, Y.J.[Yi-Jing], Chen, S.B.[Sheng-Bo], Wang, L.[Lei], Zhu, B.X.[Bing-Xue], Lu, T.Q.[Tian-Qi], Yu, Y.[Yan],
An Agricultural Drought Index for Assessing Droughts Using a Water Balance Method: A Case Study in Jilin Province, Northeast China,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905

Ryu, J.H.[Jae-Hyun], Han, K.S.[Kyung-Soo], Lee, Y.W.[Yang-Won], Park, N.W.[No-Wook], Hong, S.[Sungwook], Chung, C.Y.[Chu-Yong], Cho, J.[Jaeil],
Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908

Sawada, Y., Koike, T., Ikoma, E., Kitsuregawa, M.,
Monitoring and Predicting Agricultural Droughts for a Water-Limited Subcontinental Region by Integrating a Land Surface Model and Microwave Remote Sensing,
GeoRS(58), No. 1, January 2020, pp. 14-33.
Monitoring, Vegetation mapping, Soil moisture, Temperature sensors, Agriculture, Temperature measurement, Production, Drought, passive microwave remote sensing BibRef

Yoon, D.H.[Dong-Hyun], Nam, W.H.[Won-Ho], Lee, H.J.[Hee-Jin], Hong, E.M.[Eun-Mi], Feng, S.[Song], Wardlow, B.D.[Brian D.], Tadesse, T.[Tsegaye], Svoboda, M.D.[Mark D.], Hayes, M.J.[Michael J.], Kim, D.E.[Dae-Eui],
Agricultural Drought Assessment in East Asia Using Satellite-Based Indices,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002

Sur, C.Y.[Chan-Yang], Kang, D.H.[Do-Hyuk], Lim, K.J.[Kyoung Jae], Yang, J.E.[Jae E.], Shin, Y.C.[Yong-Chul], Jung, Y.H.[Young-Hun],
Soil Moisture-Vegetation-Carbon Flux Relationship under Agricultural Drought Condition using Optical Multispectral Sensor,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005

Baig, M.H.A.[Muhammad Hasan Ali], Abid, M.[Muhammad], Khan, M.R.[Muhammad Roman], Jiao, W.Z.[Wen-Zhe], Amin, M.[Muhammad], Adnan, S.[Shahzada],
Assessing Meteorological and Agricultural Drought in Chitral Kabul River Basin Using Multiple Drought Indices,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005

He, Y.H.[Yuan-Huizi], Chen, F.[Fang], Jia, H.C.[Hui-Cong], Wang, L.[Lei], Bondur, V.G.[Valery G.],
Different Drought Legacies of Rain-Fed and Irrigated Croplands in a Typical Russian Agricultural Region,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006

Kulkarni, S.S.[Sneha S.], Wardlow, B.D.[Brian D.], Bayissa, Y.A.[Yared A.], Tadesse, T.[Tsegaye], Svoboda, M.D.[Mark D.], Gedam, S.S.[Shirishkumar S.],
Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link 2007

Szewczak, K.[Kamil], Los, H.[Helena], Pudelko, R.[Rafal], Doroszewski, A.[Andrzej], Gluba, L.[Lukasz], Lukowski, M.[Mateusz], Rafalska-Przysucha, A.[Anna], Slominski, J.[Jan], Usowicz, B.[Boguslaw],
Agricultural Drought Monitoring by MODIS Potential Evapotranspiration Remote Sensing Data Application,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010

Yao, N.[Ning], Zhao, H.C.[Hui-Chao], Li, Y.[Yi], Biswas, A.[Asim], Feng, H.[Hao], Liu, F.G.[Feng-Gui], Pulatov, B.[Bakhtiyor],
National-Scale Variation and Propagation Characteristics of Meteorological, Agricultural, and Hydrological Droughts in China,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010

Faridatul, M.I.[Mst Ilme], Ahmed, B.[Bayes],
Assessing Agricultural Vulnerability to Drought in a Heterogeneous Environment: A Remote Sensing-Based Approach,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010

Angearu, C.V.[Claudiu-Valeriu], Ontel, I.[Irina], Boldeanu, G.[George], Mihailescu, D.[Denis], Nertan, A.[Argentina], Craciunescu, V.[Vasile], Catana, S.[Simona], Irimescu, A.[Anisoara],
Multi-Temporal Analysis and Trends of the Drought Based on MODIS Data in Agricultural Areas, Romania,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012

Zhang, Z., Xu, W., Qin, Q., Long, Z.,
Downscaling Solar-Induced Chlorophyll Fluorescence Based on Convolutional Neural Network Method to Monitor Agricultural Drought,
GeoRS(59), No. 2, February 2021, pp. 1012-1028.
Spatial resolution, Monitoring, MODIS, Indexes, Satellites, Temperature sensors, Correlation, Agricultural drought, solar-induced chlorophyll fluorescence (SIF) BibRef

Rojas, O.[Oscar],
Next Generation Agricultural Stress Index System (ASIS) for Agricultural Drought Monitoring,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103

Afshar, M.H.[Mehdi H.], Al-Yaari, A.[Amen], Yilmaz, M.T.[M. Tugrul],
Comparative Evaluation of Microwave L-Band VOD and Optical NDVI for Agriculture Drought Detection over Central Europe,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Lee, S.J.[Soo-Jin], Kim, N.[Nari], Lee, Y.[Yangwon],
Development of Integrated Crop Drought Index by Combining Rainfall, Land Surface Temperature, Evapotranspiration, Soil Moisture, and Vegetation Index for Agricultural Drought Monitoring,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Prodhan, F.A.[Foyez Ahmed], Zhang, J.H.[Jia-Hua], Yao, F.M.[Feng-Mei], Shi, L.[Lamei], Sharma, T.P.P.[Til Prasad Pangali], Zhang, D.[Da], Cao, D.[Dan], Zheng, M.X.[Min-Xuan], Ahmed, N.[Naveed], Mohana, H.P.[Hasiba Pervin],
Deep Learning for Monitoring Agricultural Drought in South Asia Using Remote Sensing Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

van Hateren, T.C.[Theresa C.], Chini, M.[Marco], Matgen, P.[Patrick], Teuling, A.J.[Adriaan J.],
Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105

Shahzaman, M.[Muhammad], Zhu, W.J.[Wei-Jun], Bilal, M.[Muhammad], Habtemicheal, B.A.[Birhanu Asmerom], Mustafa, F.[Farhan], Arshad, M.[Muhammad], Ullah, I.[Irfan], Ishfaq, S.[Shazia], Iqbal, R.[Rashid],
Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Shahzaman, M.[Muhammad], Zhu, W.J.[Wei-Jun], Ullah, I.[Irfan], Mustafa, F.[Farhan], Bilal, M.[Muhammad], Ishfaq, S.[Shazia], Nisar, S.[Shazia], Arshad, M.[Muhammad], Iqbal, R.[Rashid], Aslam, R.W.[Rana Waqar],
Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Kloos, S.[Simon], Yuan, Y.[Ye], Castelli, M.[Mariapina], Menzel, A.[Annette],
Agricultural Drought Detection with MODIS Based Vegetation Health Indices in Southeast Germany,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110

Qin, Q.M.[Qi-Ming], Wu, Z.H.[Zi-Hua], Zhang, T.Y.[Tian-Yuan], Sagan, V.[Vasit], Zhang, Z.X.[Zhao-Xu], Zhang, Y.[Yao], Zhang, C.Y.[Cheng-Ye], Ren, H.Z.[Hua-Zhong], Sun, Y.[Yuanheng], Xu, W.[Wei], Zhao, C.[Cong],
Optical and Thermal Remote Sensing for Monitoring Agricultural Drought,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112

Shorachi, M.[Maurice], Kumar, V.[Vineet], Steele-Dunne, S.C.[Susan C.],
Sentinel-1 SAR Backscatter Response to Agricultural Drought in The Netherlands,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206

Zhou, H.[Hongkui], Geng, G.P.[Guang-Po], Yang, J.H.[Jian-Hua], Hu, H.[Hao], Sheng, L.[Li], Lou, W.D.[Wei-Dong],
Improving Soil Moisture Estimation via Assimilation of Remote Sensing Product into the DSSAT Crop Model and Its Effect on Agricultural Drought Monitoring,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208

Bageshree, K., Abhishek, Kinouchi, T.[Tsuyoshi],
A Multivariate Drought Index for Seasonal Agriculture Drought Classification in Semiarid Regions,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208

Wang, Z.[Ziyu], Wang, Z.[Zegen], Xiong, J.[Junnan], He, W.[Wen], Yong, Z.W.[Zhi-Wei], Wang, X.[Xin],
Responses of the Remote Sensing Drought Index with Soil Information to Meteorological and Agricultural Droughts in Southeastern Tibet,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212

Zhang, Y.L.[Yu-Liang], Wu, Z.Y.[Zhi-Yong], Singh, V.P.[Vijay P.], Jin, J.[Juliang], Zhou, Y.L.[Yu-Liang], Xu, S.Q.[Shi-Qin], Li, L.[Lei],
Agricultural Drought Assessment in a Typical Plain Region Based on Coupled Hydrology-Crop Growth Model and Remote Sensing Data,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212

Li, K.W.[Kai-Wei], Wang, C.Y.[Chun-Yi], Rong, G.Z.[Guang-Zhi], Wei, S.C.[Si-Cheng], Liu, C.[Cong], Yang, Y.T.[Yue-Ting], Sudu, B.[Bilige], Guo, Y.[Ying], Sun, Q.[Qing], Zhang, J.[Jiquan],
Dynamic Evaluation of Agricultural Drought Hazard in Northeast China Based on Coupled Multi-Source Data,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301

Dai, R.[Rui], Chen, S.[Shengbo], Cao, Y.J.[Yi-Jing], Zhang, Y.F.[Yu-Feng], Xu, X.[Xitong],
A Modified Temperature Vegetation Dryness Index (mTVDI) for Agricultural Drought Assessment Based on MODIS Data: A Case Study in Northeast China,
RS(15), No. 7, 2023, pp. 1915.
DOI Link 2304

Ming, W.T.[Wen-Ting], Luo, X.[Xian], Luo, X.[Xuan], Long, Y.[Yunshu], Xiao, X.[Xin], Ji, X.[Xuan], Li, Y.[Yungang],
Quantitative Assessment of Cropland Exposure to Agricultural Drought in the Greater Mekong Subregion,
RS(15), No. 11, 2023, pp. 2737.
DOI Link 2306

Khlif, M.[Manel], Escorihuela, M.J.[Maria José], Bellakanji, A.C.[Aicha Chahbi], Paolini, G.[Giovanni], Chabaane, Z.L.[Zohra Lili],
Remotely Sensed Agriculture Drought Indices for Assessing the Impact on Cereal Yield,
RS(15), No. 17, 2023, pp. 4298.
DOI Link 2310

Hao, R.N.[Ruo-Nan], Yan, H.X.[Hua-Xiang], Chiang, Y.M.[Yen-Ming],
Forecasting the Propagation from Meteorological to Hydrological and Agricultural Drought in the Huaihe River Basin with Machine Learning Methods,
RS(15), No. 23, 2023, pp. 5524.
DOI Link 2312

Feng, G.[Ganlin], Chen, Y.[Yaoliang], Mansaray, L.R.[Lamin R.], Xu, H.[Hongfeng], Shi, A.[Aoni], Chen, Y.L.[Yan-Ling],
Propagation of Meteorological Drought to Agricultural and Hydrological Droughts in the Tropical Lancang-Mekong River Basin,
RS(15), No. 24, 2023, pp. 5678.
DOI Link 2401

Nigatu, Z.M.[Zemede M.], You, W.[Wei], Melesse, A.M.[Assefa M.],
Drought Dynamics in the Nile River Basin: Meteorological, Agricultural, and Groundwater Drought Propagation,
RS(16), No. 5, 2024, pp. 919.
DOI Link 2403

Khuimphukhieo, I.[Ittipon], Bhandari, M.[Mahendra], Enciso, J.[Juan], da Silva, J.A.[Jorge A.],
Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters,
RS(16), No. 8, 2024, pp. 1433.
DOI Link 2405

Niyonsenga, S.[Schadrack], Eziz, A.[Anwar], Kurban, A.[Alishir], Yuan, X.[Xiuliang], Umwali, E.D.[Edovia Dufatanye], Azadi, H.[Hossein], Hakorimana, E.[Egide], Umugwaneza, A.[Adeline], Fidelis, G.D.[Gift Donu], Nsanzabaganwa, J.[Justin], Nzabarinda, V.[Vincent],
Spatiotemporal Analysis of Drought Characteristics and Their Impact on Vegetation and Crop Production in Rwanda,
RS(16), No. 8, 2024, pp. 1455.
DOI Link 2405

Thilagaraj, P., Masilamani, P., Venkatesh, R., Killivalavan, J.,
Google Earth Engine Based Agricultural Drought Monitoring in Kodavanar Watershed, Part of Amaravathi Basin, Tamil Nadu, India,
ISPRS21(B5-2021: 43-49).
DOI Link 2201

Sun, B., Qian, J., Chen, X., Zhou, Q.,
Comparison and Evaluation of Remote Sensing Indices for Agricultural Drought Monitoring Over Kazakhstan,
DOI Link 2012

Nikam, B.R., Aggarwal, S.P., Thakur, P.K., Garg, V., Roy, S., Chouksey, A., Dhote, P.R., Chauhan, P.,
Assessment of Early Season Agricultural Drought Using Remote Sensing,
DOI Link 2012

Vaani, N., Porchelvan, P.,
Monitoring of Agricultural Drought Using Fortnightly Variation Of Vegetation Condition Index (VCI) for the State of Tamil Nadu, India,
DOI Link 1901

Sorman, A.Ü., Mehr, A.D., Hadi, S.J.,
Study on spatial-temporal variations of Meteorological-agricultural droughts in Turkey,
DOI Link 1805

Sánchez, N., Martínez-Fernández, J., González-Zamora, A.,
A Combined Approach With Smos And Modis To Monitor Agricultural Drought,
ISPRS16(B8: 393-398).
DOI Link 1610

Perez, G.J., Macapagal, M., Olivares, R., Macapagal, E.M., Comiso, J.C.,
Forecasting And Monitoring Agricultural Drought In The Philippines,
ISPRS16(B8: 1263-1269).
DOI Link 1610

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

Last update:May 6, 2024 at 15:50:14