Extracting tea plantations in southern hilly and mountainous region based on mesoscale spectrum and temporal phenological features

doi:10.6046/gtzyyg.2019.01.19

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Abstract

The extraction of the spatial distribution of tea plantations in hilly areas of southern China is of great importance for economic development and ecological environment protection in southern China. Therefore, a method of tea plantation based on mesoscale spectrum and temporal phenology characteristics is proposed. The study used MODIS enhanced vegetation index (EVI) and normalized difference vegetation index (NDVI) data products to select the optimal time window for Landsat images. The preliminary classification results were extracted using the object-oriented method and the decision tree classification model. For extracting the distribution of tea plantation, different vegetation phenology parameters were obtained by using MODIS-EVI vegetation timing data. Verification results showed that the overall classification accuracy reached 85.71% and the Kappa coefficient reached 0.83, with the accuracy of tea plantation producers reaching 83.72% and the user precision reaching 90.00%. The extraction results are close to the open statistics of tea plantation area in Zhangzhou City and Anxi County. The results show that this method can obtain high tea plantation extraction accuracy and the classification results can provide some reference and guidance for the economic development of southern China and the government departments' regulation of the tea plantation.

Keywords remote sensing object-oriented method tea plantations phenological parameters decision tree

TP79S127

Corresponding Authors: Fei YANG E-mail: yangfei@lreis.ac.cn

Issue Date: 14 March 2019

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	Chao MA
	Fei YANG
	Xuecheng WANG

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Chao MA,Fei YANG,Xuecheng WANG. Extracting tea plantations in southern hilly and mountainous region based on mesoscale spectrum and temporal phenological features[J]. Remote Sensing for Land & Resources, 2019, 31(1): 141-148.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.01.19 OR https://www.gtzyyg.com/EN/Y2019/V31/I1/141

Fig.1 Image of the study area

Tab.1 Data source

Fig.2 Comparison of different spatial resolution data

Fig.3 Flow chart of tea plantation extraction

Fig.4 MODIS-NDVI and MODIS-EVI time-series profiles in 2015

Fig.5 Phenological parameters

Tab.2 Comparison of phenological parameters

Fig.6 Construction of decision tree classier

Fig.7 Extraction result of tea plantations

Tab.3 Accuracy assessment

Tab.4 Comparison of statistical data and classification data(km²)

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