A Two-Step Filtering approach for detecting maize and soybean phenology with time-series MODIS data

The crop developmental stage represents essential information for irrigation scheduling/fertilizer management, understanding seasonal ecosystem carbon dioxide (CO2) exchange, and evaluating crop productivity. In this study, we devised an approach called the Two-Step Filtering (TSF) for detecting the...

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Veröffentlicht in:	Remote sensing of environment 2010-10, Vol.114 (10), p.2146-2159
Hauptverfasser:	Sakamoto, Toshihiro, Wardlow, Brian D., Gitelson, Anatoly A., Verma, Shashi B., Suyker, Andrew E., Arkebauer, Timothy J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Crop phenology Crops Filtering Filtration Maize Mathematical models MODIS Seeds Shape-model fitting Soybean Soybeans Statistics Zea mays
Online-Zugang:	Volltext
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