{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T15:26:28Z","timestamp":1760369188589,"version":"build-2065373602"},"reference-count":34,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2014,11,10]],"date-time":"2014-11-10T00:00:00Z","timestamp":1415577600000},"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>Monitoring the start of the crop season in Sahel provides decision makers with valuable information for an early assessment of potential production and food security threats. Presently, the most common method for the estimation of sowing dates in West African countries consists of applying given thresholds on rainfall estimations. However, the coarse spatial resolution and the possible inaccuracy of these estimations are limiting factors. In this context, the remote sensing approach, which consists of deriving green-up onset dates from satellite remote sensing data, appears as an interesting alternative. It builds upon a novel statistic model that translates vegetation onset detections derived from MODIS time series into sowing probabilities at the village level. Results for Niger show that this approach outperforms the standard method adopted in the region based on rainfall thresholds.<\/jats:p>","DOI":"10.3390\/rs61110947","type":"journal-article","created":{"date-parts":[[2014,11,10]],"date-time":"2014-11-10T12:23:05Z","timestamp":1415622185000},"page":"10947-10965","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["From Remotely Sensed Vegetation Onset to Sowing Dates: Aggregating Pixel-Level Detections into Village-Level Sowing Probabilities"],"prefix":"10.3390","volume":"6","author":[{"given":"Eduardo","family":"Marinho","sequence":"first","affiliation":[{"name":"Center for International Forestry Research, Rua do Russel, 459\/601 Rio de Janeiro (RJ), Brazil"}]},{"given":"Christelle","family":"Vancutsem","sequence":"additional","affiliation":[{"name":"Joint Research Center of the European Commission, Via Enrico Fermi, 2749 Ispra, Italy"}]},{"given":"Dominique","family":"Fasbender","sequence":"additional","affiliation":[{"name":"Joint Research Center of the European Commission, Via Enrico Fermi, 2749 Ispra, Italy"}]},{"given":"Fran\u00e7ois","family":"Kayitakire","sequence":"additional","affiliation":[{"name":"Joint Research Center of the European Commission, Via Enrico Fermi, 2749 Ispra, Italy"}]},{"given":"Giancarlo","family":"Pini","sequence":"additional","affiliation":[{"name":"World Food Programme, Via Viola Giulio, 68 Roma, Italy"}]},{"given":"Jean-Fran\u00e7ois","family":"Pekel","sequence":"additional","affiliation":[{"name":"Joint Research Center of the European Commission, Via Enrico Fermi, 2749 Ispra, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2014,11,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0168-1923(88)90039-1","article-title":"Predicting rainy season potential from the onset of rains in Southern Sahelian and Sudanian climatic zones of West Africa","volume":"42","author":"Sivakumar","year":"1988","journal-title":"Agric. For. Meteorol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/0168-1923(90)90116-N","article-title":"Exploiting rainy season potential from the onset of rains in the Sahelian zone of West Africa","volume":"51","author":"Sivakumar","year":"1990","journal-title":"Agric. For. Meteorol."},{"key":"ref_3","unstructured":"Akponikpe, P.B.I. Millet Response to Water and Soil Fertility Management in the Sahelian Niger: Experiments and Modeling. Available online:http:\/\/dial.academielouvain.be\/downloader\/downloader.py?pid=boreal:19624&datastream=PDF_01."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/S1161-0301(98)00046-X","article-title":"Effects of sowing date and nitrogen fertilization on growth, development and yield of a short day cultivar of millet (Pennisetum glaucum L.) in Mali","volume":"10","author":"Bacci","year":"1999","journal-title":"Eur. J. Agron."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Hudson, I.L., and Keatley, M.R. (2010). Phenological Research, Springer Netherlands.","DOI":"10.1007\/978-90-481-3335-2"},{"key":"ref_6","unstructured":"AGRHYMET (1996). M\u00e9thodologie De Suivi Des Zones \u00c0 Risque, AGRHYMET FLASH, Bulletin de Suivi de la Campagne Agricole au Sahel, Centre Regional AGRHYMET. No. 0\/96."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1006\/jare.2000.0747","article-title":"Spatial and temporal rainfall variability in the Sahel and its effects on farmers\u2019 management strategies","volume":"48","author":"Graef","year":"2001","journal-title":"J. Arid Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4097","DOI":"10.1080\/01431160701772526","article-title":"Validation of high-resolution satellite rainfall products over complex terrain","volume":"29","author":"Dinku","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1322","DOI":"10.1175\/2010JAMC2281.1","article-title":"Evaluating detection skills of satellite rainfall estimates over desert locust recession regions","volume":"49","author":"Dinku","year":"2010","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"5965","DOI":"10.1080\/01431161.2010.499381","article-title":"Challenges of satellite rainfall estimation over mountainous and arid parts of east Africa","volume":"32","author":"Dinku","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1080\/01431168608948945","article-title":"Characteristics of maximum-value composite images from temporal AVHRR data","volume":"7","author":"Holben","year":"1986","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/0034-4257(82)90057-8","article-title":"Spectral reflectance of partly transmitting leaves: Laboratory measurements and mathematical modeling","volume":"12","author":"Lillesaeter","year":"1982","journal-title":"Remote Sens. Environ."},{"key":"ref_13","unstructured":"Huete, A.R. (1987). Introduction to the Physics and Techniques of Remote Sensing, Wiley-Interscience."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"6241","DOI":"10.1029\/1998JD200106","article-title":"On the use of long-term global data of land reflectances and vegetation indices derived from the advanced very high resolution radiometer","volume":"104","author":"Gutman","year":"1999","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1111\/j.0906-7590.2004.03779.x","article-title":"Landscape structure and locust swarming: A satellite\u2019s eye view","volume":"27","author":"Despland","year":"2004","journal-title":"Ecography"},{"key":"ref_16","unstructured":"Ceccato, P.N. Operational early warning system using SPOT-VGT and TERRA-MODIS to predict desert locust outbreaks. Proceedings of the 2nd VEGETATION International Users Conference: 1998\u20132004: 6 Years of Operational Activities."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1154","DOI":"10.1175\/1520-0442(1997)010<1154:GSAOVP>2.0.CO;2","article-title":"Global-Scale assessment of vegetation phenology using NOAA\/AVHRR satellite measurements","volume":"10","author":"Moulin","year":"1997","journal-title":"J. Climate"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2287","DOI":"10.1080\/01431160310001618455","article-title":"Analysis of phenological change patterns using 1982\u20132000 Advanced Very High Resolution Radiometer (AVHRR) data","volume":"25","author":"Tateishi","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1111\/j.1365-2486.2006.01123.x","article-title":"Variations in satellite-derived phenology in China\u2019s temperate vegetation","volume":"12","author":"Piao","year":"2006","journal-title":"Glob. Change Biol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/S0034-4257(02)00037-8","article-title":"Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1: Theoretical approach","volume":"82","author":"Ceccato","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1109\/JSTARS.2010.2052591","article-title":"Development and application of multi-temporal colorimetric transformation to monitor vegetation in the desert locust habitat","volume":"4","author":"Pekel","year":"2011","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_22","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_23","doi-asserted-by":"crossref","first-page":"1367","DOI":"10.3390\/rs6021367","article-title":"A comparative study on satellite- and model-based crop phenology in West Africa","volume":"6","author":"Vintrou","year":"2014","journal-title":"Remote Sens."},{"key":"ref_24","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_25","doi-asserted-by":"crossref","first-page":"257","DOI":"10.3390\/rs6010257","article-title":"Phenological metrics derived over the european continent from NDVI3G data and MODIS time series","volume":"6","author":"Atzberger","year":"2013","journal-title":"Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2472","DOI":"10.1080\/01431161.2014.883090","article-title":"A phenology-based method to derive biomass production anomalies for food security monitoring in the Horn of Africa","volume":"35","author":"Meroni","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.rse.2005.03.008","article-title":"A crop phenology detection method using time-series MODIS data","volume":"96","author":"Sakamoto","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/S0034-4257(02)00135-9","article-title":"Monitoring vegetation phenology using MODIS","volume":"84","author":"Zhang","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2539","DOI":"10.1175\/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2","article-title":"Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs","volume":"78","author":"Xie","year":"1997","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_30","unstructured":"(2009). Evaluation de la Campagne Agricole 2008\/2009 et R\u00e9sultats D\u00e9finitifs, Direction Des Statistiques, Ministere Du Developpement Agricole."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"19","DOI":"10.3390\/rs5010019","article-title":"Harmonizing and combining existing land cover\/land use datasets for cropland area monitoring at the African Continental Scale","volume":"5","author":"Vancutsem","year":"2013","journal-title":"Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"5123","DOI":"10.1080\/01431160701253212","article-title":"Mean compositing, an alternative strategy for producing temporal syntheses. Concepts and performance assessment for SPOT VEGETATION time series","volume":"28","author":"Vancutsem","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_33","first-page":"295","article-title":"On the number of successes in independent trials","volume":"3","author":"Wang","year":"1993","journal-title":"Stat. Sin."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.rse.2013.11.012","article-title":"Early detection of biomass production deficit hot-spots in semi-arid environment using FAPAR time series and a probabilistic approach","volume":"142","author":"Meroni","year":"2014","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/11\/10947\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:09:07Z","timestamp":1760216947000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/11\/10947"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,11,10]]},"references-count":34,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2014,11]]}},"alternative-id":["rs61110947"],"URL":"https:\/\/doi.org\/10.3390\/rs61110947","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2014,11,10]]}}}