Forecasting regional sugarcane yield based on time integral and spatial aggregation of MODIS NDVI.

dc.contributorBetty Mulianga; Agnès Bégué; MARGARETH SIMOES P MEIRELLES, CNPS; Pierre Todoroff.
dc.creatorMULIANGA, B.
dc.creatorBÉGUÈ, A.
dc.creatorMEIRELLES, M. S. P.
dc.creatorTODOROFF, P.
dc.date.accessioned2021-09-20T18:03:35Z
dc.date.accessioned2022-10-12T04:18:25Z
dc.date.available2021-09-20T18:03:35Z
dc.date.available2022-10-12T04:18:25Z
dc.date.created2021-09-20T18:03:35Z
dc.date.issued2013
dc.identifierRemote Sensing, v. 5, n. 5, p. 2184-2199, 2013.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/979975
dc.identifierhttps://doi.org/10.3390/rs5052184
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4086084
dc.languageen
dc.rightsopenAccess
dc.subjectMODIS
dc.subjectNDVI
dc.subjectYield forecasting
dc.titleForecasting regional sugarcane yield based on time integral and spatial aggregation of MODIS NDVI.
dc.typeArtículos de revistas


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