Abstract
Cropping intensity is one of the major factors in crop production and agricultural intensification. A newdouble-cropping croplands mapping methodology using Moderate Resolution Imaging Spectroradiome-ter (MODIS) time series datasets through continuous wavelet transform was proposed in this study. Thismethodology involved four steps. First, daily continuous MODIS Enhanced Vegetation Index (EVI) timeseries datasets were developed for the study year. Next, the EVI time series datasets were transformedinto 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 characteristicspectra were calculated from the wavelet scalogram and the feature peak within two skeleton lines wasobtained. Finally, a threshold was determined for feature peak values to discriminate double-croppingcroplands within each pixel. The application of the proposed procedure to China's Henan Province in2010 produced an objective and accurate spatial distribution map, which correlated well with in situobservation data (over 90% agreement). The proposed new methodology efficiently handled complexvariability that might be caused by regional variation in climate, management practices, growth peaksby winter weed or winter wheat, and data noise. Therefore, the methodology shows promise for futurestudies at regional and global scales.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 97-104 |
| Number of pages | 8 |
| Journal | International Journal of Applied Earth Observation and Geoinformation |
| Volume | 26 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2014 |
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Keywords
- Continuous wavelet transform
- Cropping intensity
- Double-cropping croplandsa
- EVI
- MODIS
ASJC Scopus subject areas
- Global and Planetary Change
- Earth-Surface Processes
- Computers in Earth Sciences
- Management, Monitoring, Policy and Law
Cite this
A new methodology to map double-cropping croplands based oncontinuous wavelet transform. / Qiu, Bingwen; Zhong, Ming; Tang, Zhenghong; Wang, Chongyang.
In: International Journal of Applied Earth Observation and Geoinformation, Vol. 26, No. 1, 2014, p. 97-104.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A new methodology to map double-cropping croplands based oncontinuous wavelet transform
AU - Qiu, Bingwen
AU - Zhong, Ming
AU - Tang, Zhenghong
AU - Wang, Chongyang
PY - 2014
Y1 - 2014
N2 - Cropping intensity is one of the major factors in crop production and agricultural intensification. A newdouble-cropping croplands mapping methodology using Moderate Resolution Imaging Spectroradiome-ter (MODIS) time series datasets through continuous wavelet transform was proposed in this study. Thismethodology involved four steps. First, daily continuous MODIS Enhanced Vegetation Index (EVI) timeseries datasets were developed for the study year. Next, the EVI time series datasets were transformedinto 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 characteristicspectra were calculated from the wavelet scalogram and the feature peak within two skeleton lines wasobtained. Finally, a threshold was determined for feature peak values to discriminate double-croppingcroplands within each pixel. The application of the proposed procedure to China's Henan Province in2010 produced an objective and accurate spatial distribution map, which correlated well with in situobservation data (over 90% agreement). The proposed new methodology efficiently handled complexvariability that might be caused by regional variation in climate, management practices, growth peaksby winter weed or winter wheat, and data noise. Therefore, the methodology shows promise for futurestudies at regional and global scales.
AB - Cropping intensity is one of the major factors in crop production and agricultural intensification. A newdouble-cropping croplands mapping methodology using Moderate Resolution Imaging Spectroradiome-ter (MODIS) time series datasets through continuous wavelet transform was proposed in this study. Thismethodology involved four steps. First, daily continuous MODIS Enhanced Vegetation Index (EVI) timeseries datasets were developed for the study year. Next, the EVI time series datasets were transformedinto 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 characteristicspectra were calculated from the wavelet scalogram and the feature peak within two skeleton lines wasobtained. Finally, a threshold was determined for feature peak values to discriminate double-croppingcroplands within each pixel. The application of the proposed procedure to China's Henan Province in2010 produced an objective and accurate spatial distribution map, which correlated well with in situobservation data (over 90% agreement). The proposed new methodology efficiently handled complexvariability that might be caused by regional variation in climate, management practices, growth peaksby winter weed or winter wheat, and data noise. Therefore, the methodology shows promise for futurestudies at regional and global scales.
KW - Continuous wavelet transform
KW - Cropping intensity
KW - Double-cropping croplandsa
KW - EVI
KW - MODIS
UR - http://www.scopus.com/inward/record.url?scp=84897585250&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897585250&partnerID=8YFLogxK
U2 - 10.1016/j.jag.2013.05.016
DO - 10.1016/j.jag.2013.05.016
M3 - Article
AN - SCOPUS:84897585250
VL - 26
SP - 97
EP - 104
JO - International Journal of Applied Earth Observation and Geoinformation
JF - International Journal of Applied Earth Observation and Geoinformation
SN - 1569-8432
IS - 1
ER -