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[Winter wheat area estimation with MODIS-NDVI time series based on parcel].
Le Li1, Jin-shui Zhang, Wen-quan Zhu
1State Key Laboratory of Earth Processes and Resource Ecology, College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China. lile@mail.bnu.edu.cn
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|August 2, 2011
Summary
Utilizing parcel data with MODIS-NDVI time series improves winter wheat area estimation accuracy. This approach overcomes spatial resolution limitations of satellite imagery for large-scale agricultural monitoring.
Area of Science:
- Agricultural Remote Sensing
- Geospatial Analysis
- Crop Monitoring
Background:
- Moderate Resolution Imaging Spectrometer (MODIS) data offers efficient global cropland mapping due to its temporal resolution and coverage.
- Limited spatial resolution of MODIS data challenges the reliability of measurement results.
- Cultivated land parcel data provides precise geo-location and boundary information, advantageous for area estimation over pixel-based methods.
Purpose of the Study:
- To estimate winter wheat acreage using MODIS-NDVI time series data supported by cultivated land parcel information.
- To assess the effectiveness of parcel data in improving area estimation accuracy compared to pixel-based methods.
- To explore the feasibility of large-scale crop area estimation using combined moderate and low-resolution data.
Main Methods:
- Employed multiple regression analysis to establish a stable relationship between MODIS-NDVI time series and Thematic Mapper (TM) samples within cultivated land parcels.
- Validated the method using winter wheat area estimation in Tongzhou, Beijing.
- Investigated the impact of sample size on the consistency between MODIS and TM extraction results.
Main Results:
- Achieved a stable consistency of up to 96% between MODIS and TM extraction results when using 15% of the total area as samples.
- Demonstrated that incorporating parcel data effectively mitigates errors in MODIS-NDVI time series analysis caused by low spatial resolution.
- Confirmed the viability of large-scale winter wheat area estimation, especially in regions with incomplete medium-resolution imagery or cloud cover.
Conclusions:
- Combining parcel data with MODIS-NDVI time series significantly enhances the accuracy of winter wheat area estimation.
- This integrated approach offers a reliable solution for large-scale crop monitoring, overcoming limitations of individual data sources.
- Preliminary experiments suggest potential applicability to estimating areas of other crops.
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