2026-10-12T19:40:36Z https://www.scidb.cn/oai

10.57760/sciencedb.iga.001gz 2026-09-20T19:24:11Z

2026-09-20 XDA28080502: Multi-Source Remote Sensing Monitoring of Key Soil Degradation Parameters in Black Soil Farmlands — Soil Organic Matter Remote Sensing Monitoring Thematic Map doi:10.57760/sciencedb.iga.001gz en This dataset focuses on the remote sensing estimation and spatial mapping of soil organic matter in croplands across typical black soil regions of Jilin Province, generating thematic data products for distinct counties and years. The core content comprises remote sensing estimation results for soil organic matter and their corresponding thematic monitoring maps. It consists of two components: (1) the 2022 thematic map of soil organic matter in croplands of Lishu County, Jilin Province; and (2) the 2023 thematic map of soil organic matter in croplands of Nongan County, Jilin Province. The Lishu County component includes the 2022 soil organic matter estimation results and their spatial distribution map; the Nongan County component includes the 2023 estimation results and their spatial distribution map, as well as the estimated difference in soil organic matter content between 2023 and 2013—along with its spatial distribution map—to support analysis of decadal change. The primary remote sensing data source is hyperspectral imagery acquired by the “Zhuhai-1” satellite, with a spatial resolution of 10 m and an estimation accuracy exceeding 80%, enabling fine-scale characterization of spatial variability in soil organic matter at the cropland level. All estimation results and thematic maps are stored in GeoTIFF (.tif) format—a georeferenced raster standard—ensuring broad compatibility with mainstream remote sensing processing and GIS analysis platforms, and facilitating direct loading, visualization, and quantitative analysis. Black soil; Soil organic matter; Remote sensing monitoring 张霞 PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank