Agricultural drought conditions over mainland Southeast Asia: Spatiotemporal characteristics revealed from MODIS-based vegetation time-series
International Journal of Applied Earth Observation and Geoinformation - Tập 121 - Trang 103378 - 2023
Tài liệu tham khảo
Adamson, 2005
Amnuaylojaroen, 2019, Projection of near-future climate change and agricultural drought in Mainland Southeast Asia under RCP8. 5, Clim. Change, 155, 175, 10.1007/s10584-019-02442-5
Bajgiran, 2008, Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran, J. Arid Environ., 72, 1086, 10.1016/j.jaridenv.2007.12.004
Chen, 2004, A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter, Remote Sens. Environ., 91, 332, 10.1016/j.rse.2004.03.014
Chen, 2021, Multidecadal variability of the Tonle Sap Lake flood pulse regime, Hydrol. Processes, 35, e14327, 10.1002/hyp.14327
Dandridge, 2019, Evaluation of satellite-based rainfall estimates in the lower mekong river basin (southeast asia), Remote Sens., 11, 2709, 10.3390/rs11222709
de Jong, 2010, Forest rehabilitation and its implication for forest transition theory, Biotropica, 42, 3, 10.1111/j.1744-7429.2009.00568.x
Didan, 2021
Didan, 2015
Ding, 2011, Measuring economic impacts of drought: a review and discussion. Disaster Prevention and Management: An, Int. J.
Dracup, 1980, On the definition of droughts, Water Resour. Res., 16, 297, 10.1029/WR016i002p00297
Du, 2013, A comprehensive drought monitoring method integrating MODIS and TRMM data, Int. J. Appl. Earth Obs. Geoinf., 23, 245
Dutta, 2015, Assessment of agricultural drought in Rajasthan (India) using remote sensing derived Vegetation Condition Index (VCI) and Standardized Precipitation Index (SPI), Egypt. J. Remote Sens. Space Sci., 18, 53
ESA, 2017. European Space Agency Land Cover CCI Product User Guide.
Fan, 2017, Time series evaluation of landscape dynamics using annual Landsat imagery and spatial statistical modeling: Evidence from the Phoenix metropolitan region, Int. J. Appl. Earth Obs. Geoinf., 58, 12
Funk, 2015, The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes, Scientific data, 2, 1, 10.1038/sdata.2015.66
Gebrehiwot, 2011, Spatial and temporal assessment of drought in the Northern highlands of Ethiopia, Int. J. Appl. Earth Obs. Geoinf., 13, 309
Guo, 2017, Meteorological drought analysis in the Lower Mekong Basin using satellite-based long-term CHIRPS product, Sustainability, 9, 901, 10.3390/su9060901
Guo, 2018, Spatial and temporal characteristics of droughts in Central Asia during 1966–2015, Sci. Total Environ., 624, 1523, 10.1016/j.scitotenv.2017.12.120
Ha, 2022, A Review of Earth Observation-Based Drought Studies in Southeast Asia, Remote Sens., 14, 3763, 10.3390/rs14153763
Herridge, 2019, The cropping systems of the Central Dry Zone of Myanmar: Productivity constraints and possible solutions, Agricultural Systems, 169, 31, 10.1016/j.agsy.2018.12.001
Huete, 1988, A soil-adjusted vegetation index (SAVI), Remote Sens. Environ., 25, 295, 10.1016/0034-4257(88)90106-X
Jiao, 2021, Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future, Remote Sens. Environ., 256, 112313, 10.1016/j.rse.2021.112313
Kogan, 1990, Remote sensing of weather impacts on vegetation in non-homogeneous areas, Int. J. Remote Sens., 11, 1405, 10.1080/01431169008955102
Kogan, 1995, Application of vegetation index and brightness temperature for drought detection, Adv. Space Res., 15, 91, 10.1016/0273-1177(95)00079-T
Kogan, 1995, Droughts of the late 1980s in the United States as derived from NOAA polar-orbiting satellite data, Bull. Am. Meteorol. Soc., 76, 655, 10.1175/1520-0477(1995)076<0655:DOTLIT>2.0.CO;2
Kuenzer, 2013, Remote sensing of rice crop areas, Int. J. Remote Sens., 34, 2101, 10.1080/01431161.2012.738946
Le, 2020, Assessment of drought conditions over Vietnam using standardized precipitation evapotranspiration index, MERRA-2 re-analysis, and dynamic land cover, J. Hydrol.: Regional Stud., 32, 100767
Le, 2019, Space–time variability of drought over Vietnam, Int. J. Climatol., 39, 5437, 10.1002/joc.6164
Leinenkugel, 2013, Comparison and enhancement of MODIS cloud mask products for Southeast Asia, Int. J. Remote Sens., 34, 2730, 10.1080/01431161.2012.750037
Li, 2022, Satellite-Based Assessment of Meteorological and Agricultural Drought in Mainland Southeast Asia, IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 15, 6180, 10.1109/JSTARS.2022.3190438
Li, 2013, The changing characteristics of drought in China from 1982 to 2005, Nat. Hazards, 68, 723, 10.1007/s11069-013-0649-3
Liang, 2017, Long-term spatial and temporal variations of vegetative drought based on vegetation condition index in China, Ecosphere, 8, e01919, 10.1002/ecs2.1919
Lindsay, J., Gaba, K., Harmon, L., Jarvis, S., 2021. Tonlé Sap Food Security & Agriculture III: Evaluating Changes in Ecosystem Vitality and Freshwater Health in the Tonlé Sap Basin using Remotely Sensed Data.
Lingfeng, 2022, Phenological and physiological responses of the terrestrial ecosystem to the 2019 drought event in Southwest China: Insights from satellite measurements and the SSiB2 model, Int. J. Appl. Earth Obs. Geoinf., 111, 102832
Liu, 1996, Monitoring regional drought using the vegetation condition index, Int. J. Remote Sens., 17, 2761, 10.1080/01431169608949106
Mao, 2012, Integrating AVHRR and MODIS data to monitor NDVI changes and their relationships with climatic parameters in Northeast China, Int. J. Appl. Earth Obs. Geoinf., 18, 528
Marshall, 2004, The impact of anthropogenic land-cover change on the Florida peninsula sea breezes and warm season sensible weather, Monthly Weather Rev., 132, 28, 10.1175/1520-0493(2004)132<0028:TIOALC>2.0.CO;2
McKee, T.B., Doesken, N.J., Kleist, J., 1993. The relationship of drought frequency and duration to time scales, Proceedings of the 8th Conference on Applied Climatology. Boston, MA, USA, pp. 179–183.
Mishra, 2010, A review of drought concepts, J. Hydrol., 391, 202, 10.1016/j.jhydrol.2010.07.012
Muthumanickam, 2011, Drought assessment and monitoring through remote sensing and GIS in western tracts of Tamil Nadu, India. Int. J. Remote Sens., 32, 5157, 10.1080/01431161.2010.494642
Qian, 2016, Drought trends based on the VCI and its correlation with climate factors in the agricultural areas of China from 1982 to 2010, Environ. Monit. Assess., 188, 1, 10.1007/s10661-016-5657-9
Ruefenacht, 2016, Comparison of three Landsat TM compositing methods: a case study using modeled tree canopy cover, Photogramm. Eng. Remote Sens., 82, 199, 10.14358/PERS.82.3.199
Sen, 1968, Estimates of the regression coefficient based on Kendall's tau, J. Am. Statist. Assoc., 63, 1379, 10.1080/01621459.1968.10480934
Shahabfar, 2012, Drought monitoring in Iran using the perpendicular drought indices, Int. J. Appl. Earth Obs. Geoinf., 18, 119
Son, 2012, Monitoring agricultural drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data, Int. J. Appl. Earth Obs. Geoinf., 18, 417
Son, 2022, Remotely sensed drought evaluation over rice cultivated areas in Cambodia during 2000 to 2019, Geocart. Internat., 37, 1237, 10.1080/10106049.2020.1773546
Svoboda, 2016
Tarpley, 1984, Global vegetation indices from the NOAA-7 meteorological satellite, J. Clim. Appl. Meteorol., 491, 10.1175/1520-0450(1984)023<0491:GVIFTN>2.0.CO;2
Tran, 2023, Decadal assessment of agricultural drought in the context of land use land cover change using MODIS multivariate spectral index time-series data, GIScience & Remote Sensing, 60, 2163070, 10.1080/15481603.2022.2163070
Tran, 2021, Livelihood vulnerability and adaptability of coastal communities to extreme drought and salinity intrusion in the Vietnamese Mekong Delta, Int. J. Disaster Risk Reduction, 57, 102183, 10.1016/j.ijdrr.2021.102183
Unescap, 2019
Unganai, 1998, Drought monitoring and corn yield estimation in Southern Africa from AVHRR data, Remote Sens. Environ., 63, 219, 10.1016/S0034-4257(97)00132-6
Venkatappa, 2021, Impacts of droughts and floods on croplands and crop production in Southeast Asia–An application of Google Earth Engine, Sci. Total Environ., 795, 148829, 10.1016/j.scitotenv.2021.148829
Vicente-Serrano, 2010, A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index, J. Clim., 23, 1696, 10.1175/2009JCLI2909.1
Wickham, 2012, Comparison of cropland and forest surface temperatures across the conterminous United States, Agr. Forest Meteorol., 166, 137, 10.1016/j.agrformet.2012.07.002
Wilhite, 1985, Understanding: the drought phenomenon: the role of definitions, Water Int., 10, 111, 10.1080/02508068508686328
Winkler, 2017, Identifying droughts affecting agriculture in Africa based on remote sensing time series between 2000–2016: rainfall anomalies and vegetation condition in the context of ENSO, Remote Sens., 9, 831, 10.3390/rs9080831
Xie, 2021, Deriving drought indices from MODIS vegetation indices (NDVI/EVI) and Land Surface Temperature (LST): Is data reconstruction necessary?, Int. J. Appl. Earth Obs. Geoinf., 101, 102352
Xu, 2018, Diverse responses of vegetation growth to meteorological drought across climate zones and land biomes in northern China from 1981 to 2014, Agr. Forest Meteorol., 262, 1, 10.1016/j.agrformet.2018.06.027
Yan, 2016, A drought monitoring operational system for China using satellite data: design and evaluation, Geomatics, Nat. Hazards Risk, 7, 264, 10.1080/19475705.2014.895964
Zhang, L., Chen, Z., Zhou, T., 2021. Human influence on the increasing drought risk over Southeast Asian monsoon region. Geophys. Res. Lett. 48, e2021GL093777.
Zhang, 2014, Drought impact on vegetation productivity in the Lower Mekong Basin, Int. J. Remote Sens., 35, 2835, 10.1080/01431161.2014.890298