Monitoring long-term vegetation dynamics over the Yangtze River Basin, China, using multi-temporal remote sensing data

Vegetation plays a crucial role in nature, with intricate interactions between it and the geographical environment. The Yangtze River Basin (YRB) refers to the third-largest river basin globally and an essential ecological security barrier in China. Monitoring vegetation dynamics in the basin is of profound significance for addressing climate change, soil erosion, and biodiversity loss in the basin’s ecosystems. Here, we investigate the spatiotemporal variations of vegetation at both the basin and land-cover scales in the YRB from 2000 to 2020. We elucidate the determinants driving the changes and explore future NDVI trends. The results indicate that NDVI in the YRB increased at a rate of 0.0032 yr−1 (P < 0.01) over the past 21 years, and it is anticipated to maintain an upward trend in the future. Regions in the upper and middle reaches of the YRB demonstrated higher NDVI, whereas regions in the headwater area and the lower reaches showed lower NDVI. Significant vegetation improveme..., MODIS NDVI time series data from February 2000 to December 2020 were selected, and the MODIS Reprojection Tool was used for image mosaic, format and projection transformation. For missing data in January and February 2000, mean values from the corresponding period over multiple years were utilized for interpolation. Referring to the quality control file, a maximum-value composites procedure was employed to generate monthly NDVI dataset to eliminate the influence of invalid values or outliers. Furthermore, the mean method was utilized to generate annual NDVI datasets. Using ArcGIS software, the NDVI time series dataset of the study area from 2000 to 2020 was clipped and true value conversion was performed.
Meteorological data was adopted from the annual climate dataset of 704 Chinese national meteorological stations in the YRB between 2000 and 2020. The dataset includes average  temperature, average relative humidity, average wind speed, annual total precipitation, and annual total sunsh..., , # GENERAL INFORMATION

1. Title of Dataset: Monitoring long-term vegetation dynamics over the Yangtze River Basin, China, using multi-temporal remote sensing data

2. Date of data collection: 2000-2020

3. Geographic location of data collection: Hengyang Normal University, Hunan Province, China

# DESCRIPTION OF THE DATA AND FILE STRUCTURE

The dataset includes NDVI and climate raster data.

1. Month_NDVI_yyyy.zip: This archive contains monthly NDVI (Normalized Difference Vegetation Index) raster datasets with a spatial resolution of 250 meters. The \"yyyy\" in the filename represents a specific year. For instance, Month_NDVI_2000.zip comprises monthly NDVI raster data for the entire year of 2000, from January to December. Within this archive, 200001.tif denotes the NDVI raster data for January 2000, 200002.tif corresponds to February 2000, and so forth. The naming convention is similar for other years.

2. Year_NDVI.zip: This compressed file encompasses annual NDVI raster datasets, ...