Cropping　intensity　is　one　of　the　major　factors　in　crop　production　and　agricultural　intensification.　A　new　double-cropping　croplands　mapping　methodology　using　Moderate　Resolution　Imaging　Spectroradiometer　(MODIS)　time　series　datasets　through　continuous　wavelet　transform　was　proposed　in　this　study.　This　methodology　involved　four　steps.　First,　daily　continuous　MODIS　Enhanced　Vegetation　Index　(EVI)　time　series　datasets　were　developed　for　the　study　year.　Next,　the　EVI　time　series　datasets　were　transformed　into　a　two　dimensional　(time-frequency)　wavelet　scalogram　based　on　continuous　wavelet　transform.　Third,　a　feature　extraction　process　was　conducted　on　the　wavelet　scalogram,　where　the　characteristic　spectra　were　calculated　from　the　wavelet　scalogram　and　the　feature　peak　within　two　skeleton　lines　was　obtained.　Finally,　a　threshold　was　determined　for　feature　peak　values　to　discriminate　double-cropping　croplands　within　each　pixel.　The　application　of　the　proposed　procedure　to　China＇s　Henan　Province　in　2010　produced　an　objective　and　accurate　spatial　distribution　map,　which　correlated　well　with　in　situ　observation　data　(over　90%　agreement).　The　proposed　new　methodology　efficiently　handled　complex　variability　that　might　be　caused　by　regional　variation　in　climate,　management　practices,　growth　peaks　by　winter　weed　or　winter　wheat,　and　data　noise.　Therefore,　the　methodology　shows　promise　for　future　studies　at　regional　and　global　scales.　(C)　2013　Elsevier　B.V.　All　rights　reserved.