Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China
Estimating the net primary production (NPP) of vegetation is essential for eco-environment conservation and carbon cycle research. Remote sensing techniques, combined with algorithm models, have been proven to be promising methods for NPP estimation. High-precision and real-time NPP monitoring in he...
Main Authors: | Meng Zhang, Hui Lin, Guangxing Wang, Hua Sun, Yaotong Cai |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/11/2/133 |
Similar Items
-
A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions
by: Chunhua Liao, et al.
Published: (2017-11-01) -
An Enhanced Linear Spatio-Temporal Fusion Method for Blending Landsat and MODIS Data to Synthesize Landsat-Like Imagery
by: Bo Ping, et al.
Published: (2018-06-01) -
Spatiotemporal Variation and Climate Influence Factors of Vegetation Ecological Quality in the Sanjiangyuan National Park
by: Qianying Sun, et al.
Published: (2020-08-01) -
Assessment of deforestation in sub-tropical forest using spatio-temporal landsat data
by: Syed Hassan Raza, et al.
Published: (2021-07-01) -
Cropland Mapping Using Fusion of Multi-Sensor Data in a Complex Urban/Peri-Urban Area
by: Eunice Nduati, et al.
Published: (2019-01-01)