Continuous Change Detection of Forest/Grassland and Cropland in the Loess Plateau of China Using All Available Landsat Data

Continuous Change Detection of Forest/Grassland and Cropland in the Loess Plateau of China Using All Available Landsat Data

Accurate identification of the spatiotemporal distribution of forest/grassland and cropland is necessary for studying hydro-ecological effects of vegetation change in the Loess Plateau, China. Currently, the accuracy of change detection of land cover using Landsat data in the loess hill and gully ar...

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Bibliographic Details
Main Authors:	Zhihui Wang, Wenyi Yao, Qiuhong Tang, Liangyun Liu, Peiqing Xiao, Xiangbing Kong, Pan Zhang, Fangxin Shi, Yuanjian Wang
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Series:	Remote Sensing
Subjects:	continuous change detection land cover classification Landsat NDVI time series forest/grassland and cropland Loess Plateau
Online Access:	https://www.mdpi.com/2072-4292/10/11/1775

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