李 (2026) 30-m monthly NPP and moisture-stress outputs for Tianjin (2020 growing season) generated using the LSWIP–CASA framework

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-01-08
• Authors: 梦瑶 李
• DOI: 10.17632/ffy5t9pvrj

Research Groups

• 梦瑶 李 (Contributor)

Short Summary

This dataset provides 30-meter monthly Net Primary Production (NPP) estimates and moisture-stress indicators for Tianjin, China, during the 2020 growing season, generated using the LSWIP–CASA framework to enhance urban carbon assessment precision.

Objective

• To generate and provide high-resolution (30-meter monthly) Net Primary Production (NPP) estimates and moisture-stress indicators for urban carbon assessments, specifically adapted for water-stressed monsoon cities like Tianjin.

Study Configuration

• Spatial Scale: Tianjin, China, at a resolution of 30 meters.
• Temporal Scale: Monthly outputs covering the 2020 growing season.

Methodology and Data

• Models used: LSWIP–CASA framework, including LSWIP and comparative schemes for moisture-stress.
• Data sources: Derived outputs from the LSWIP–CASA framework. Specific input data sources (e.g., satellite imagery, meteorological data) are not detailed in the provided text.

Main Results

• Generation of a comprehensive dataset comprising 30-meter monthly Net Primary Production (NPP) estimates and moisture-stress indicators (LSWIP and comparative schemes) for Tianjin, China.
• The dataset covers the 2020 growing season, providing high-resolution spatial and temporal data for urban environmental analysis.

Contributions

• Provides a high-resolution (30-meter monthly) dataset of NPP and moisture-stress indicators, crucial for precise urban carbon assessments in water-stressed monsoon cities.
• Demonstrates the application of the LSWIP–CASA framework for generating detailed environmental parameters at an urban scale.

Funding

• Not specified.

Citation

@article{李202630m,
  author = {李, 梦瑶},
  title = {30-m monthly NPP and moisture-stress outputs for Tianjin (2020 growing season) generated using the LSWIP–CASA framework},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/ffy5t9pvrj},
  url = {https://doi.org/10.17632/ffy5t9pvrj}
}