The NDVI-CV Method for Mapping Evergreen Trees in Complex Urban Areas Using Reconstructed Landsat 8 Time-Series Data
Evergreen trees play a significant role in urban ecological services, such as air purification, carbon and oxygen balance, and temperature and moisture regulation. Remote sensing represents an essential technology for obtaining spatiotemporal distribution data for evergreen trees in cities. However,...
Main Authors: | Yingying Yang, Taixia Wu, Shudong Wang, Jing Li, Farhan Muhanmmad |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-02-01
|
Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/10/2/139 |
Similar Items
-
Improving the Accuracy of Fractional Evergreen Forest Cover Estimation at Subpixel Scale in Cloudy and Rainy Areas by Harmonizing Landsat-8 and Sentinel-2 Time-Series Data
by: Taixia Wu, et al.
Published: (2021-01-01) -
An Adaptive-Parameter Pixel Unmixing Method for Mapping Evergreen Forest Fractions Based on Time-Series NDVI: A Case Study of Southern China
by: Yingying Yang, et al.
Published: (2021-11-01) -
A Rapid Model (COV_PSDI) for Winter Wheat Mapping in Fallow Rotation Area Using MODIS NDVI Time-Series Satellite Observations: The Case of the Heilonggang Region
by: Xiaoyuan Zhang, et al.
Published: (2021-11-01) -
The world of northern evergreens/
by: 224191 Pielou, E. C.
Published: (1988) -
Impact of the number of dates and their sampling on a NDVI time series reconstruction methodology to monitor urban trees with Venμs satellite
by: Carlos Granero-Belinchon, et al.
Published: (2021-03-01)