Quantitative Estimation of Net Primary Productivity by an Improved tCASA Model Using Landsat Time Series Data: A Case Study of Central Plains, China

Quantitative Estimation of Net Primary Productivity by an Improved tCASA Model Using Landsat Time Series Data: A Case Study of Central Plains, China

Net primary productivity (NPP) can effectively represent the growth status of plants. The accurate estimation and spatiotemporal variation analysis of NPP is of great significance for understanding global climate change and carbon cycle. The Carnegie–Ames–Stanford Approach (CAS...

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Bibliographic Details
Main Authors: Lida Xu, Zongze Zhao, Cheng Wang, Hongtao Wang, Chao Ma
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Climate factors
gap filling and the Savitzky–Golay filter (GF–SG) method
Google Earth Engine (GEE)
improved temperature stress coefficient for the CASA (tCASA) model
net primary productivity (NPP)
the central plains urban agglomeration (CPUA)
Online Access:https://ieeexplore.ieee.org/document/10946158/
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