Multiple Indices Based Agricultural Drought Assessment in the Rift Valley Region of Ethiopia
Tóm tắt
Từ khóa
Tài liệu tham khảo
Abdullah, 2020, A comparison between day and night land surface temperatures using acquired satellite thermal infrared data in a winter wheat field, Remote Sens. Appl., 19
Ademe, 2019, Rainfall analysis for rain-fed farming in the Great Rift Valley Basins of Ethiopia, J Water Clim Change, 11, 812, 10.2166/wcc.2019.242
Agutu, 2017, Assessing multi-satellite remote sensing reanalysis, and land surface models’ products in characterizing agricultural drought in East Africa, Remote Sens. Environ., 194, 287, 10.1016/j.rse.2017.03.041
Akinyemi, 2019, Land cover change effects on land surface temperature trends in an African urbanization dryland region, City Environ. Interactions, 4, 10.1016/j.cacint.2020.100029
Alamgir, 2020, Evaluating severity-area frequency (SAF) of seasonal droughts in Bangladesh under climate change scenarios, Stochastic Environ. Res. Risk Assess., 34, 447, 10.1007/s00477-020-01768-2
Assefa, 2021, The impacts of land-use and land cover change on wetland ecosystem service values in peri-urban and urban area of Bahir Dar City, upper blue nile basin, northwestern Ethiopia, Ecol. Process., 10, 39, 10.1186/s13717-021-00310-8
Athick, 2019, Data on time series analysis of land surface temperature variation in response to vegetation indices in twelve wereda of Ethiopia using mono window, split window algorithm and spectral radiance model, Data Brief, 27
Ayenew, 2003, Evapotranspiration estimation using thematic mapper spectral satellite data in the Ethiopian rift and adjacent highlands, J. Hydrol., 279, 83, 10.1016/S0022-1694(03)00173-2
Barrett, 2020, Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya, Remote Sens. Environ., 248, 10.1016/j.rse.2020.111886
Bento, 2018, A climatological assessment of drought impact on vegetation health index, Agric For Meteorol, 259, 286, 10.1016/j.agrformet.2018.05.014
Bento, 2018, Contribution of land surface temperature (TCI) to vegetation health index: a comparative study using clear sky and all-weather climate data records, Remote Sens., 10, 1324, 10.3390/rs10091324
Bento, 2020, The role of NDVI and land surface temperature when using the vegetation health index over dry regions, Glob. Planet Change, 190, 10.1016/j.gloplacha.2020.103198
Bhuiyan, 2017, Analyzing the impact of thermal stress on vegetation health and agricultural drought-a case study from Gujarat, India, GIScience Remote Sens., 54, 678, 10.1080/15481603.2017.1309737
Chimdesa, 2016, Climate change impacts and adaptation actions in central rift valley of Ethiopia, J. Nat. Sci. Res., 6, 84
Cravens, 2021, A typology of drought decision making: synthesizing across cases to understand drought preparedness and response actions, Weather Climate Extremes, 10.1016/j.wace.2021.100362
Demisse G.B., Tadesse T., Atnafu S., Hill, S., 2011. Drought monitoring in food-insecure areas of Ethiopia by using satellite technologies: in: experiences of climate change adaptation in Africa. DOI: 10.1007/978-3-642-22315-0.
Dolati, 2016, Use of principal component analysis in accuracy of classfication maps (case study: north of Iran), Res. J. Forestry, 10, 23, 10.3923/rjf.2016.23.29
Du, 2018, Satellite-based multi-indices for evaluation of agricultural droughts in a highly dynamic tropical catchment, Central Vietnam.Water, 10, 659
Eggen, 2019, Vulnerability of Sorghum production to extreme, sub-seasonal weather under climate change, Environ. Res. Lett., 14, 1, 10.1088/1748-9326/aafe19
Essa, 2016, Assessment of agricultural drought under climate change, Res. J. Fisheries Hydrobiol., 11, 1
Faridatul, 2020, Assessing agricultural vulnerability to drought in a heterogeneous environment: a remote sensing-based Approach, Remote Sens., 12, 3363, 10.3390/rs12203363
Ferreira, 2018, Space-based observations of crustal deflections for drought characterization in Brazil, Sci. Total Environ., 644, 256, 10.1016/j.scitotenv.2018.06.277
Funk, 2019, Recognizing the famine early warning systems network: over 30 years of drought early warming science and partnerships promoting global food security, Am. Meteorol. Soc., 100, 1011, 10.1175/BAMS-D-17-0233.1
Gaikwad, 2015, Analysis of TCI index using landsat 8 TIRS sensor data of Vaijapur region, Int. J. Comput. Sci. Eng., 3, 60
Gebrehiwot, 2011, Spatial and temporal assessment of drought in the northern highlands of Ethiopia, Int. J. Appl. Earth Obs. Geoinf., 13, 309
Gemeda, 2021, Meteorological data trend analysisand local community perception towards climate change: a case study of Jimma City,Southwestern Ethiopia, Environment, Development and Sustainability, 23, 5885, 10.1007/s10668-020-00851-6
Gemeda, 2021, Evidences of climate change presences in the wettest parts of southwest Ethiopia, Heliyon, 7, e08009, 10.1016/j.heliyon.2021.e08009
Gizachew, 2014, Analysis and Mapping of Climate Change Risk and Vulnerability in Central Rift Valley of Ethiopia, Afr. Crop Sci. J., 22, 807
Guha, 2020, Land surface temperature and normalized difference vegetation index relationship: a seasonal study on a tropical city, Sn. Appl. Sci., 2, 1661, 10.1007/s42452-020-03458-8
Han, 2020, Monitoring droughts in the greater cgangbai mountains using multiple remote sensing-based drought indices, Remote Sens., 12, 530, 10.3390/rs12030530
Jiao, 2016, Evaluating an enhanced vegetation condition index (VCI) based on VIUPD for drought monitoring in the continental United States, Remote Sens (Basel), 8, 224, 10.3390/rs8030224
Jiang, 2010, Analysis of the impact of land use/land cover change on land surface temperature with remote sensing, Procedia Environ. Sci., 2, 571, 10.1016/j.proenv.2010.10.062
Ji, 2003, Assessing vegetation response to drought in the northern great plains using vegetation and drought indices, Remote Sens. Environ., 87, 85, 10.1016/S0034-4257(03)00174-3
Hishe, 2021, Analysis of Land Use Land Cover Dynamics and Driving Factors in Desa’a Forest in Northern Ethiopia, Land Use Policy, 101, 10.1016/j.landusepol.2020.105039
Huang, 2021, A commentary review on the use of normalized difference vegetation index (NDVI) in the ear of popular remote sensing, J. Forestry Res., 32
Kaushalya, 2014, Assessing agricultural vulnerability in India using NDVI data products, Int. Arch. Photgramm. Remote Sens. Spat. Inf. Sci, XL, 39, 10.5194/isprsarchives-XL-8-39-2014
Kallel, 2018, Recent advances in environmental science from the euro-mediterranean and surrounding regions
Karnieli, 2010, Use of NDVI and land surface temperature for drought assessment: merits and limitations, J. Clim., 23, 618, 10.1175/2009JCLI2900.1
King, 1999, 397
Kogan, 1990, Remote sensing of weather impacts on vegetation in non-homogeneous area, 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, 1997, Global drought watch from space, Bulletin Am. Meteorol. Soc., 78, 621, 10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO;2
Kogan, 2002, World droughts in the new millennium from AVHRR-based vegetation health indices, Ecos Trans. Am. Geophys. Union, 83, 562
Kogan, 2003, AVHRR-Based Spectral Vegetation Index for Quantitative Assessment of Vegetation State and Productivity: calibration and Validation, Photogrammetric Eng. Remote Sens., 69, 899, 10.14358/PERS.69.8.899
Kogan, 2012, Forecasting crop production using satellite-based vegetation health indices in Kansar, USA, Int. J. Remote Sens., 33, 2798, 10.1080/01431161.2011.621464
Li, 2021, Assimilation of ARACE terrestrial water storage into a land surface model: evaluation and potential value for drought monitoring in western and central Europe, J. Hydrol., 446-447, 103, 10.1016/j.jhydrol.2012.04.035
Li, 2016, Remote sensing of the surface urban island and land architecture in Phoenix, Arizona: combined effects of land composition and configuration and cadastral-demographic-economic factors, Remote Sens. Environ., 174, 233, 10.1016/j.rse.2015.12.022
Li, 2020, Cloudy region drought index (CRDI) based on long-time series cloud optical thickness (COT) and vegetation condition index (VCI): a case study in guangdong, south eastern China, Remote Sens., 12, 3641, 10.3390/rs12213641
Liou, 2019, Spatio-temporal Assessment of drought in Ethiopia and the impact of recent intense droughts, Remote Sens., 11, 1828, 10.3390/rs11151828
Liu, 2020, Assessing and predicting changes in ecosystem service values based on land use/cover change in the Bohai Rim coastal zone, Ecol. Indic., 111, 10.1016/j.ecolind.2019.106004
Mohammed, 2021, Sensitivity analysis of the effective reconnaissance drought index, Arab J. Geosci., 14, 2360, 10.1007/s12517-021-08642-7
Mohammed, 2021, Analysis of meteorological droughts in the lake's region of Ethiopian rift valley using reconnaissance drought index (RDI), Geoenviron. Disast., 8
Moisa, 2022, Multiple indices-based assessment of agricultural drought. A case study in gilgel gibe sub-basin, Southern Ethiopia, Theor. Appl. Climatol.
Munyati, 2004, Use of principal component analysis (PCA) of remote sensing images in wetland change detection on the kafue flats, Zambia, Geocarto Int., 19, 11, 10.1080/10106040408542313
Nanzad, 2019, NDVI anomaly for drought monitoring and its correlation with climate factors over Mongolia from 2000 to 2016, J. Arid Environ., 164, 69, 10.1016/j.jaridenv.2019.01.019
Ndehedehe, 2016, On the potentials of multiple climate variables in assessing the spatio-temporal chracterstics of hydrological droughts over the Volta Basin, Sci. Total Environ., 557-558, 819, 10.1016/j.scitotenv.2016.03.004
Ndehedehe, 2021, What if the rains do not come?, J Hydrol (Amst), 595, 10.1016/j.jhydrol.2021.126040
Nemani, 1989, Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data, J. Appl. Meteorl, 28, 276, 10.1175/1520-0450(1989)028<0276:EORSRT>2.0.CO;2
Orke, 2021, Hydroclimatic variability in the bilate watershed, Ethiopia, Climate, 9, 98, 10.3390/cli9060098
Qin, 2001, A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region, Int. J. Remote Sens., 22, 3719, 10.1080/01431160010006971
Qu, 2019, Monitoring extreme agricultural drought over the horn of Africa (HOA) using remote sensing measurements, Remote Sens., 11, 902, 10.3390/rs11080902
Quiring S.M., 2009. Monitoring drought: an evaluation of meteorological drought indices. 3(1):64–88.
Quiring, 2010, Evaluating the utility of the vegetation condition index (VCI) for monitoring meteorological drought in Texas, Agric. For. Meteorol., 150, 330, 10.1016/j.agrformet.2009.11.015
Randell, 2016, Climate variability and educational attainment: evidence from rural Ethiopia, Global Environ. Change, 41, 111, 10.1016/j.gloenvcha.2016.09.006
Redmond, 2002, The depiction of drought, Bull. AM. Meteorol. Soc., 83, 1143, 10.1175/1520-0477-83.8.1143
Rojas, 2011, Assessing drought probability for agricultural areas in Africa with coarse resolution remote sensing imagery, Remote Sens. Environ., 115, 343, 10.1016/j.rse.2010.09.006
Rouse, 1973, Monitoring vegetation systems in the great plains with ERTS (earth resources technology satellite), 309
Rouse, 1974, 309
Salazar, 2008, Using vegetation health indices and partial least squares method for estimation of crop yield, Int. J. Remote Sens., 29, 175, 10.1080/01431160701271974
Shashikant, 2021, Utilizing TVDI and NDWI to classify severity of agricultural drought in Chuping, Malaysia, Agronomy, 11, 1243, 10.3390/agronomy11061243
Shiru, 2020, Projection of meteorological droughts in Nigeria during growing seasons under climate change scenarios, Sci. Rep., 10, 10107, 10.1038/s41598-020-67146-8
Sholihah, 2016, Identification of Agricultural drought extent based on vegetation health indices of landsat data: case of Subang and Karawang, Indonesia, Proc. Environ. Sci., 33, 14, 10.1016/j.proenv.2016.03.051
Singh, 2003, Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India, Int. J. Remote Sens., 24, 4393, 10.1080/0143116031000084323
Sobrino, 2004, Land surface temperature retrieval from LANDSAT TM 5, Remote Sens. Environ., 90, 434, 10.1016/j.rse.2004.02.003
Sobrino, 2001, A comparative study of land surface emssivity retrieval from NOAA data, Remote Sens. Environ., 75, 256, 10.1016/S0034-4257(00)00171-1
Sultana, 2021, Multiple indices based agricultural drought assessment in the northwestern part of Bangladesh using geospatial techniques, Environ. Challenges, 4, 10.1016/j.envc.2021.100120
Tang, 2014
Tesfamariam, 2019, Characterizing the spatiotemporal distribution of meteorological drought as a response to climate variability: the case of rift valley lakes basin of Ethiopia, Weather Climate Extremes, 26, 10.1016/j.wace.2019.100237
Teshome, 2019, Increase of extreme drought over Ethiopia under climate warming, Adv. Meteorol., 2019, 18, 10.1155/2019/5235429
Tfwala, 2018, Drought dynamics and interannual rainfall variability on the Ghaap plateau, South Africa, 1918-2014, Phy. Chem. Earth, Parts A/B/C, 107, 1, 10.1016/j.pce.2018.09.003
Tran, 2017, Monitoring drought vulnerability using multispectral indices observed from sequential remote sensing (case study: tuy Phong, Binh Thuan, Vietnam), GIScence Remote Sens., 54, 167, 10.1080/15481603.2017.1287838
Vilalta, 2010
Wang, 2001, Spatial Patterns of NDVI in response to precipitation and temperature in the central Great Plains, Int. J. Remote Sens., 22, 3827, 10.1080/01431160010007033
Wiatkowska, 2021, Spatial-temporal land use and land cover changes in urban areas using remote sensing images and GIS analysis: the case study of opole, Poland barbara, Geosciences, 11, 312, 10.3390/geosciences11080312
Worku, 2021, Assessing the effects of vegetion change on urban land surface temperature using remote sensing data: the case of Addis Ababa city, Ethiopia, Remote Sens. Appl., 22
Xie, 2021, Deriving drought indices from MODIS vegetation indices (NDVI/EVI)and land surface temperature (LST): is data reconstruction nececcary?, Int. J. Appl. Earth Obs. Geoinf., 101
Yohannes, 2021, Impact of landscape pattern changes on hydrological ecosystem services in the Brerssa watershed of the Blue Nile Basin in Ethiopia, Sci. Total Environ., 793, 10.1016/j.scitotenv.2021.148559
Yue, 2007, The relationship between land surface temperature and NDVI with remote se3nsing. Application to Shanghai landsat 7 ETM + data, Int. J. Remote Sens., 28, 3205, 10.1080/01431160500306906