{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T22:14:26Z","timestamp":1772662466136,"version":"3.50.1"},"reference-count":101,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T00:00:00Z","timestamp":1504224000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Across Eastern Africa, croplands cover 45 million ha. The regional economy is heavily dependent on small holder traditional rain-fed peasant agriculture (up to 90%), which is vulnerable to extreme weather events such as drought and floods that leads to food insecurity. Agricultural production in the region is moisture limited. Weather station data are scarce and access is limited, while optical satellite data are obscured by heavy clouds limiting their value to study cropland dynamics. Here, we characterized cropland dynamics in Eastern Africa for 2003\u20132015 using precipitation data from Tropical Rainfall Measuring Mission (TRMM) and a passive microwave dataset of land surface variables that blends data from the Advanced Microwave Scanning Radiometer (AMSR) on the Earth Observing System (AMSR-E) from 2002 to 2011 with data from AMSR2 from 2012 to 2015 with a Chinese microwave radiometer to fill the gap. These time series were analyzed in terms of either cumulative precipitable water vapor-days (CVDs) or cumulative actual evapotranspiration-days (CETaDs), rather than as days of the year. Time series of the land surface variables displayed unimodal seasonality at study sites in Ethiopia and South Sudan, in contrast to bimodality at sites in Tanzania. Interannual moisture variability was at its highest at the beginning of the growing season affecting planting times of crops, while it was lowest at the time of peak moisture. Actual evapotranspiration (ETa) from the simple surface energy balance (SSEB) model was sensitive to track both unimodal and bimodal rainfall patterns. ETa as a function of CETaD was better fitted by a quadratic model (r2 &gt; 0.8) than precipitable water vapor was by CVDs (r2 &gt; 0.6). Moisture time to peak (MTP) for the land surface variables showed strong, logical correspondence among variables (r2 &gt; 0.73). Land surface parameters responded to El Ni\u00f1o-Southern Oscillation and the Indian Ocean Dipole forcings. Area under the curve of the diel difference in vegetation optical depth showed correspondence to crop production and yield data collected by local offices, but not to the data reported at the national scale. A long-term seasonal Mann\u2013Kendall rainfall trend showed a significant decrease for Ethiopia, while the decrement was not significant for Tanzania. While there is significant potential for passive microwave data to augment cropland status and food security monitoring efforts in the region, more research is needed before these data can be used in an operational environment.<\/jats:p>","DOI":"10.3390\/rs9090914","type":"journal-article","created":{"date-parts":[[2017,9,1]],"date-time":"2017-09-01T11:05:24Z","timestamp":1504263924000},"page":"914","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Land Surface Phenology and Seasonality Using Cool Earthlight in Croplands of Eastern Africa and the Linkages to Crop Production"],"prefix":"10.3390","volume":"9","author":[{"given":"Woubet","family":"Alemu","sequence":"first","affiliation":[{"name":"Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007-3510, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8999-2709","authenticated-orcid":false,"given":"Geoffrey","family":"Henebry","sequence":"additional","affiliation":[{"name":"Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, SD 57007-3510, USA"},{"name":"Department of Natural Resource Management, South Dakota State University, Brookings, SD 57007, USA"}]}],"member":"1968","published-online":{"date-parts":[[2017,9,1]]},"reference":[{"key":"ref_1","unstructured":"FAO (2012, August 24). FAOSTAT. Available online: http:\/\/faostat.fao.org\/site\/567\/default.aspx#ancor."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1589","DOI":"10.3390\/rs2061589","article-title":"Monitoring global croplands with coarse resolution earth observations: The Global Agriculture Monitoring (GLAM) project","volume":"2","author":"Justice","year":"2010","journal-title":"Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2286","DOI":"10.1016\/j.rse.2010.05.005","article-title":"The response of African land surface phenology to large scale climate oscillations","volume":"114","author":"Brown","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1002\/fes3.61","article-title":"Climate change and Eastern Africa: A review of impact on major crops","volume":"4","author":"Adhikari","year":"2015","journal-title":"Food Energy Secur."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"11081","DOI":"10.1073\/pnas.0708196105","article-title":"Warming of the Indian Ocean threatens eastern and southern African food security but could be mitigated by agricultural development","volume":"105","author":"Funk","year":"2008","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_6","first-page":"385","article-title":"East Africa in the Malthusian trap?","volume":"31","author":"Korotayev","year":"2015","journal-title":"J. Dev. Soc."},{"key":"ref_7","unstructured":"Barton, A. (2017, June 30). Deforestation in Ethiopia. Available online: http:\/\/www.czp.cuni.cz\/knihovna\/SD_Case_Studies.pdf#page=227."},{"key":"ref_8","unstructured":"Dixon, J., Gulliver, A., and Gibbon, D. (2001). Farming Systems and Poverty: Improving Farmers\u2019 Livelihoods in a Changing World, FAO and World Bank."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1146\/annurev.energy.28.050302.105444","article-title":"Climate change, climate modes, and climate impacts","volume":"28","author":"Wang","year":"2003","journal-title":"Annu. Rev. Environ. Resour."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4514","DOI":"10.1175\/JCLI3541.1","article-title":"Paramount impact of the Indian Ocean dipole on the east African short rains: A CGCM study","volume":"18","author":"Behera","year":"2005","journal-title":"J. Clim."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"4965","DOI":"10.5194\/hess-18-4965-2014","article-title":"Predicting East African spring droughts using Pacific and Indian Ocean sea surface temperature indices","volume":"18","author":"Funk","year":"2014","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1098\/rsta.2004.1474","article-title":"The relationship between Indian Ocean sea\u2013surface temperature and East African rainfall","volume":"363","author":"Black","year":"2005","journal-title":"Philos. Trans. R. Soc. A Math. Phys. Eng. Sci."},{"key":"ref_13","first-page":"3","article-title":"Linkages between the Indian Ocean dipole and east African seasonal rainfall anomalies","volume":"2","author":"Owiti","year":"2008","journal-title":"J. Kenya Meteorol. Soc."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3979","DOI":"10.1002\/joc.4259","article-title":"Long-term variability of the east African \u2018short rains\u2019 and its links to large-scale factors","volume":"35","author":"Nicholson","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"27","DOI":"10.5194\/bg-8-27-2011","article-title":"ENSO and IOD teleconnections for African ecosystems: Evidence of destructive interference between climate oscillations","volume":"8","author":"Williams","year":"2011","journal-title":"Biogeosciences."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1111\/j.1365-2028.2006.00707.x","article-title":"The Indian Ocean dipole\u2014The unsung driver of climatic variability in east Africa","volume":"45","author":"Marchant","year":"2007","journal-title":"Afr. J. Ecol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1645","DOI":"10.1007\/s00382-013-1991-6","article-title":"Indo-Pacific sea surface temperature influences on failed consecutive rainy seasons over eastern Africa","volume":"43","author":"Hoell","year":"2014","journal-title":"Clim. Dyn."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2529","DOI":"10.1007\/s00382-016-3220-6","article-title":"Modulation of the southern Africa precipitation response to the El Ni\u00f1o Southern Oscillation by the subtropical Indian Ocean dipole","volume":"48","author":"Hoell","year":"2016","journal-title":"Clim. Dyn."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2872","DOI":"10.1175\/JCLI4152.1","article-title":"The years of El Ni\u00f1o, La Ni\u00f1a, and interactions with the tropical Indian Ocean","volume":"20","author":"Meyers","year":"2007","journal-title":"J. Clim."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1002\/joc.1019","article-title":"Variability of the recent climate of eastern Africa","volume":"24","author":"Schreck","year":"2004","journal-title":"Int. J. Climatol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1002\/(SICI)1097-0088(199702)17:2<117::AID-JOC84>3.0.CO;2-O","article-title":"The relationship of the El Ni\u00f1o\u2013Southern Oscillation to African rainfall","volume":"17","author":"Nicholson","year":"1997","journal-title":"Int. J. Climatol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"114011","DOI":"10.1088\/1748-9326\/11\/11\/114011","article-title":"Drivers of future changes in east African precipitation","volume":"11","author":"Souverijns","year":"2016","journal-title":"Environ. Res. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1038\/43854","article-title":"A dipole mode in the tropical Indian Ocean","volume":"401","author":"Saji","year":"1999","journal-title":"Nature"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1038\/43848","article-title":"Coupled ocean-atmosphere dynamics in the Indian Ocean during 1997\u201398","volume":"401","author":"Webster","year":"1999","journal-title":"Nature"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"147","DOI":"10.5194\/nhess-15-147-2015","article-title":"Spatial and seasonal responses of precipitation in the Ganges and Brahmaputra river basins to ENSO and Indian Ocean Dipole modes: Implications for flooding and drought","volume":"15","author":"Pervez","year":"2015","journal-title":"Nat. Hazard. Earth Sys."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"L02702","DOI":"10.1029\/2011GL050337","article-title":"A recent and abrupt decline in the east African long rains","volume":"39","author":"Lyon","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1016\/j.rse.2007.10.008","article-title":"Evaluation of multi-sensor semi-arid crop season parameters based on NDVI and rainfall","volume":"112","author":"Brown","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_28","first-page":"311","article-title":"Diurnal rainfall variability over the Upper Blue Nile basin: A remote sensing based approach","volume":"21","author":"Rientjes","year":"2013","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1111\/j.1439-037X.1989.tb00757.x","article-title":"Influence of accumulated heat units and sunshine hours on the growth and yield of sorghum (var. Co 25)","volume":"163","author":"Mathan","year":"1989","journal-title":"J. Agron. Crop. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1175\/1520-0493(1920)48<151:TASOSA>2.0.CO;2","article-title":"The agricultural significance of sunshine as illustrated in California","volume":"48","author":"Palmer","year":"1920","journal-title":"Mon. Weather Rev."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1016\/j.rse.2003.11.006","article-title":"Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan","volume":"89","author":"Henebry","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_32","unstructured":"Hudson, I.L., and Keatley, M.R. (2010). Spatio-temporal statistical methods for modelling land surface phenology. Phenological Research: Methods for Environmental and Climate Change Analysis, Springer. [2nd ed.]."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"4257","DOI":"10.1175\/2008JCLI2074.1","article-title":"Northern annular mode effects on the land surface phenologies of Northern Eurasia","volume":"21","author":"Henebry","year":"2008","journal-title":"J. Clim."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1535","DOI":"10.1175\/1520-0442(2001)014<1535:GIVISS>2.0.CO;2","article-title":"Global interannual variations in sea surface temperature and land surface vegetation, air temperature, and precipitation","volume":"14","author":"Los","year":"2001","journal-title":"J. Clim."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"336","DOI":"10.2307\/1936378","article-title":"Responses of annual vegetation to temperature and rainfall patterns in northern California","volume":"59","author":"Pitt","year":"1978","journal-title":"Ecology"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1890\/070217","article-title":"Tracking the rhythm of the seasons in the face of global change: Phenological research in the 21st century","volume":"7","author":"Morisette","year":"2009","journal-title":"Front. Ecol. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/0034-4257(93)90113-C","article-title":"On the use of NDVI profiles as a tool for agricultural statistics\u2014The case-study of wheat yield estimate and forecast in Emilia-Romagna","volume":"45","author":"Benedetti","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.rse.2008.08.015","article-title":"Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe","volume":"113","author":"Funk","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2743","DOI":"10.1080\/01431169208904076","article-title":"Use of NOAA-AVHRR NDVI data for environmental monitoring and crop forecasting in the Sahel\u2014Preliminary-results","volume":"13","author":"Maselli","year":"1992","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"3431","DOI":"10.1080\/01431169208904132","article-title":"Assessment of millet yields and production in northern Burkina-Faso using integrated NDVI from the AVHRR","volume":"13","author":"Rasmussen","year":"1992","journal-title":"Int. J. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.agrformet.2010.11.012","article-title":"Crop yield forecasting on the canadian prairies using MODIS NDVI data","volume":"151","author":"Mkhabela","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_43","unstructured":"FEWS-NET (2017, February 15). USGS FEWS NET Data Portal, Available online: http:\/\/earlywarning.usgs.gov\/fews."},{"key":"ref_44","unstructured":"FAO (2017, March 15). GIEWS-Global Information and Early Warning System. Available online: http:\/\/www.fao.org\/giews\/en\/."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Alemu, W.G., and Henebry, G.M. (2017). Comparing passive microwave with visible-to-near-infrared phenometrics in croplands of northern Eurasia. Remote Sens., 9.","DOI":"10.3390\/rs9060613"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Alemu, W.G., and Henebry, G.M. (2016). Characterizing cropland phenology in major grain production areas of Russia, Ukraine, and Kazakhstan by the synergistic use of passive microwave and visible to near infrared data. Remote Sens., 8.","DOI":"10.3390\/rs8121016"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"045002","DOI":"10.1088\/1748-9326\/8\/4\/045002","article-title":"Land surface phenologies and seasonalities using cool earthlight in mid-latitude croplands","volume":"8","author":"Alemu","year":"2013","journal-title":"Environ. Res. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1016\/j.rse.2010.04.005","article-title":"Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product","volume":"114","author":"Ganguly","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2005.09.007","article-title":"Spatio\u2013temporal distribution of rice phenology and cropping systems in the Mekong delta with special reference to the seasonal water flow of the Mekong and Bassac rivers","volume":"100","author":"Sakamoto","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1111\/j.1529-8817.2003.00784.x","article-title":"Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data","volume":"10","author":"Zhang","year":"2004","journal-title":"Glob. Chang. Biol."},{"key":"ref_51","unstructured":"Schwartz, M.D. (2013). Phenologies of North American grasslands and grasses. Phenology: An Integrative Environmental Science, Springer."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Schwartz, M.D. (2013). Remote sensing of land surface phenology: A prospectus. Phenology: An Integrative Environmental Science, Springer.","DOI":"10.1007\/978-94-007-6925-0"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"8594","DOI":"10.3390\/rs6098594","article-title":"Inter-calibration of satellite passive microwave land observations from AMSR-E and AMSR2 using overlapping FY3B-MWRI sensor measurements","volume":"6","author":"Du","year":"2014","journal-title":"Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"979","DOI":"10.3390\/s7060979","article-title":"A coupled remote sensing and simplified surface energy balance approach to estimate actual evapotranspiration from irrigated fields","volume":"7","author":"Senay","year":"2007","journal-title":"Sensors"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1111\/jawr.12057","article-title":"Operational evapotranspiration mapping using remote sensing and weather datasets: A new parameterization for the SSEB approach","volume":"49","author":"Senay","year":"2013","journal-title":"J. Am. Water Resour. Assoc."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Chen, J., Wan, S., Henebry, G., Qi, J., Gutman, G., Sun, G., and Kappas, M. (2013). Dryland east Asia in hemispheric context. Dryland East Asia: Land Dynamics amid Social and Climate Change, Higher Education Press and Walter de Gruyter GmbH.","DOI":"10.1515\/9783110287912"},{"key":"ref_57","unstructured":"USGS (2016, March 29). 30 Meter Global Land Cover, Available online: https:\/\/landcover.usgs.gov\/glc\/."},{"key":"ref_58","unstructured":"Jones, L.A., and Kimball, J.S. (2017, June 30). Daily Global Land Surface Parameters Derived from AMSR-E. Available online: http:\/\/nsidc.org\/data\/nsidc-0451."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"L19406","DOI":"10.1029\/2012GL053470","article-title":"Improved prediction of quasi-global vegetation conditions using remotely-sensed surface soil moisture","volume":"39","author":"Bolten","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1109\/JSTARS.2009.2037163","article-title":"Evaluating the utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring","volume":"3","author":"Bolten","year":"2010","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_61","unstructured":"DAAC-LP (2014, December 24). MODIS Products Table, Available online: https:\/\/lpdaac.usgs.gov\/dataset_discovery\/modis\/modis_products_table."},{"key":"ref_62","unstructured":"TRMM (2015, August 15). TRMM\/TMPA 3B42 TRMM and Others Rainfall Estimate Data v7, Available online: https:\/\/mirador.gsfc.nasa.gov\/collections\/TRMM_3B42__007.shtml."},{"key":"ref_63","unstructured":"TRMM (2015, August 15). TRMM\/TMPA 3B42 TRMM and Others Rainfall Estimate Data v7, Available online: https:\/\/lpdaac.usgs.gov\/dataset_discovery\/modis\/modis_products_table."},{"key":"ref_64","unstructured":"Schneider, U., Becker, A., Finger, P., Meyer-Christoffer, A., Rudolf, B., and Ziese, M. (2017, March 14). GPCC Full Data Reanalysis Version 6.0 at 1.0\u00b0: Monthly Land-Surface Precipitation from Rain-Gauges Built on GTS-Based and Historic Data, Available online: https:\/\/www.esrl.noaa.gov\/psd\/data\/gridded\/data.gpcc.html."},{"key":"ref_65","unstructured":"NOAA (2015, June 17). Monthly Atmospheric and Sea Surface Temperature Indices, Available online: http:\/\/www.cpc.ncep.noaa.gov\/data\/indices\/sstoi.indices."},{"key":"ref_66","unstructured":"JAMSTEC (2016). Indian Ocean Dipole, JAMSTEC. [2012 ed.]. Available online: http:\/\/www.jamstec.go.jp\/frcgc\/research\/d1\/iod\/DATA\/dmi.monthly.txt."},{"key":"ref_67","unstructured":"CSA (2015, September 24). Agricultural Sample Survey, Time Series Data for National & Regional Level, Available online: http:\/\/www.csa.gov.et\/images\/general\/news\/agss_time_series%20report."},{"key":"ref_68","unstructured":"CSA (2015, September 24). Ethiopian National Data Archive (ENADA). Available online: http:\/\/213.55.92.105\/enada\/index.php\/catalog\/."},{"key":"ref_69","unstructured":"HarvestChoice (2015, September 24). Agricultural Sample Survey. Available online: https:\/\/harvestchoice.org\/topics\/surveycensus-archive."},{"key":"ref_70","unstructured":"HarvestChoice (2015, September 24). National Sample Census of Agriculture 2007\/2008 Small Holder Agriculture: Regional Report. Available online: https:\/\/harvestchoice.org\/search\/apachesolr_search\/%5BTanzania%5D%20National%20Sample%20Census%20of%20Agriculture%202007\/2008%3A%20Regional%20Report."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/S0168-1923(97)00027-0","article-title":"Growing degree-days: One equation, two interpretations","volume":"87","author":"McMaster","year":"1997","journal-title":"Agric. For. Meteorol."},{"key":"ref_72","first-page":"89","article-title":"Development of an agroclimatic model for the estimation of rice yield","volume":"12","author":"Sarma","year":"2008","journal-title":"J. Indian Geophys. Union"},{"key":"ref_73","unstructured":"NOAA (2016, June 22). Description of Changes to Oceanic Ni\u00f1o Index (ONI), Available online: http:\/\/www.cpc.ncep.noaa.gov\/products\/analysis_monitoring\/ensostuff\/ONI_change.shtml."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.agrformet.2013.01.007","article-title":"Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics","volume":"173","author":"Bolton","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1080\/02626667009493932","article-title":"Evaporation in east Africa","volume":"15","author":"Dagg","year":"1970","journal-title":"Int. Assoc. Sci. Hydrol. Bull."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1080\/00128325.1967.11662165","article-title":"Empirical relations between cloud amount, insolation and sunshine duration in east Africa: II","volume":"32","author":"Woodhead","year":"1967","journal-title":"East. Afr. Agric. For. J."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1080\/00128325.1966.11662119","article-title":"Empirical relations between cloud amount, insolation and sunshine duration in east Africa: I","volume":"32","author":"Woodhead","year":"1966","journal-title":"East. Afr. Agric. For."},{"key":"ref_78","unstructured":"Melesse, A.M. (2011). Flood hazard and risk assessment using GIS and remote sensing in Fogera Woreda, northwest Ethiopia. Nile River Basin: Hydrology, Climate and Water Use, Springer."},{"key":"ref_79","unstructured":"IFRC (2006, September 06). Ethiopia: Floods. Available online: http:\/\/www.ifrc.org\/docs\/appeals\/06\/MDRET003rev.pdf."},{"key":"ref_80","unstructured":"DPPA (2016, June 15). Joint Government and Humanitarian Partners Flash Appeal for the 2006 Flood Disaster in Ethiopia, Available online: http:\/\/www.dppc.gov.et\/downloadable\/reports\/appeal\/2006\/Flood%20Appeal%20II%20MASTER%20Final.pdf."},{"key":"ref_81","unstructured":"UN-OCHA (2016, June 15). Ocha Annual Report 2006: Activities and Use of Extrabudgetary Funds. Part III, Coordination Activities in the Field, Ethiopia. Available online: http:\/\/www.unocha.org\/annualreport\/2006\/html\/part3_ethiopia.html."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/s00704-010-0337-0","article-title":"Meteorological scenario of Ethiopian floods in 2006\u20132007","volume":"104","author":"Jury","year":"2011","journal-title":"Theor. Appl. Climatol."},{"key":"ref_83","unstructured":"IFRC (2010, September 28). Ethiopia: Response to Seasonal Floods. Available online: http:\/\/www.ifrc.org\/docs\/appeals\/10\/MDRET009.pdf."},{"key":"ref_84","unstructured":"UNCIEF (2017, June 30). Eastern and Southern Africa: Ethiopia. Available online: https:\/\/www.ifpri.org\/division\/eastern-and-southern-africa-office-esao."},{"key":"ref_85","unstructured":"IFPRI (2016, November 21). Ethiopia\u2019s 2015 Drought: No Reason for a Famine. Available online: http:\/\/www.ifpri.org\/blog\/ethiopias-2015-drought-no-reason-famine."},{"key":"ref_86","unstructured":"UN-WFP (2016, November 21). Drought in Ethiopia: 10 Million People in Need. Available online: https:\/\/www.wfp.org\/stories\/drought-ethiopia-10-million-people-need."},{"key":"ref_87","unstructured":"GEOGLAM (2016, November 21). Early Warning Crop Monitor Report. Available online: http:\/\/www.cropmonitor.org\/pages\/archive.php."},{"key":"ref_88","unstructured":"UN-OCHA (2016, November 21). El Ni\u00f1o in East Africa. Available online: http:\/\/www.unocha.org\/el-nino-east-africa."},{"key":"ref_89","unstructured":"FEWS-NET (2016, November 21). FEWS NET El Ni\u00f1o Monitoring Resources. Available online: http:\/\/www.fews.net\/fews-net-el-ni%C3%B1o-monitoring-resources."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"1102","DOI":"10.1016\/j.rse.2010.12.015","article-title":"Satellite passive microwave remote sensing for monitoring global land surface phenology","volume":"115","author":"Jones","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1080\/00220380600681910","article-title":"Trends in poverty and destitution in Wollo, Ethiopia","volume":"42","author":"Devereux","year":"2006","journal-title":"J. Dev. Stud."},{"key":"ref_92","unstructured":"FAO (2014). FAO Statistical Yearbook for Africa, FAO Regional Office for Africa. Available online: http:\/\/www.fao.org\/3\/a-i3620e.pdf."},{"key":"ref_93","unstructured":"Bewket, W. (2007, January 2\u20136). Rainfall variability and crop production in Ethiopia: Case study in the Amhara Region. Proceedings of the 16th International Conference of Ethiopian Studies, Trondheim, Norway."},{"key":"ref_94","unstructured":"Crewett, W., Bogale, A., and Korf, B. (2008, September 01). Land tenure in Ethiopia. Continuity and Change. Available online: http:\/\/ebrary.ifpri.org\/cdm\/ref\/collection\/p15738coll2\/id\/24652."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1111\/geb.12024","article-title":"Global vegetation biomass change (1988\u20132008) and attribution to environmental and human drivers","volume":"22","author":"Liu","year":"2013","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_96","unstructured":"Pohlert, T. (2017, July 30). Non-Parametric Trend Tests and Change-Point Detection. Available online: https:\/\/cran.r-project.org\/web\/packages\/trend\/vignettes\/trend.pdf."},{"key":"ref_97","first-page":"16","article-title":"How successful the Agricultural Development Led Industrialisation Strategy (ADLI) will be by leaving existing landholding system intact","volume":"4","author":"Gudeta","year":"2002","journal-title":"Econ. Focus"},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Abbink, J. (2017). A Decade of Ethiopia: Politics, Economy and Society 2004\u20132016, Brill Publisher.","DOI":"10.1163\/9789004346826"},{"key":"ref_99","unstructured":"Wikipedia (2017, August 18). History of Tanzania. Available online: https:\/\/en.wikipedia.org\/wiki\/History_of_Tanzania."},{"key":"ref_100","unstructured":"Ministry of Lands and Human Settlements Development (2017, June 30). National Land Policy, Available online: https:\/\/www.tanzania.go.tz\/egov_uploads\/documents\/nationallandpolicy_sw.pdf."},{"key":"ref_101","unstructured":"Myenzi, Y. (2010, February 23). Trends and Issues in the Tanzania Land Tenure System and the Kilimo Kwanza Strategy. Available online: http:\/\/www.hakiardhi.org\/index.php?option=com_docman&task=doc_download&gid=61&Itemid=81."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/9\/914\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:43:56Z","timestamp":1760208236000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/9\/914"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,1]]},"references-count":101,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2017,9]]}},"alternative-id":["rs9090914"],"URL":"https:\/\/doi.org\/10.3390\/rs9090914","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9,1]]}}}