Mapping soil organic carbon (SOC) accurately is essential for sustainable resource management. Hyperspectral data, a vital tool SOC mapping, obtained through both laboratory and satellite-based sources. While data limited to sample point monitoring, satellite hyperspectral imagery covers entire regions, albeit susceptible external environmental interference. This study, conducted in the Yuncheng Basin of Yellow River Basin, compared predictive accuracy (ASD FieldSpec4) GF-5 mapping....

Understanding the dynamics of soil water content (SWC) is essential for effective land management, particularly in regions affected by underground mining. This study investigates spatial and temporal patterns SWC its interaction with topographic edaphic factors coal mining non-coal areas Chenghe watershed, located southeast Chinese Loess Plateau, which divided a river. Our findings revealed that capacity to retain moisture top layer significantly higher (25.21%) compared areas, although...

Perennial crops are crucial for enhancing soil organic carbon (SOC) stocks to mitigate climate change, yet the effects of planting duration on SOC remain inconsistent. In agro-pastoral ecotone northern China, where degradation is a growing concern, daylily, perennial crop cultivated over 600 years, presents both ecological and agricultural potential. This study evaluates impact long-term (LD, >10 years) short-term (SD, ~5 daylily cultivation identifies key drivers. Paired samples (0–100...

The soil organic carbon (SOC) pool in farmland is changing rapidly due to human activities, thereby greatly affecting the regional and global environment, as well influencing fertility crop yields. present study investigated effects of underground coal mining on SOC Jiuli Mining Area Xuzhou City China a typical region based field sampling, chemical analysis, model construction, spatial analysis using software ArcGIS. results showed that subsidence area, variations content bulk density were...

Soil chemical and topographic properties are two important factors influencing available micronutrient distribution of soil in the horizontal dimension.The objective this study was to explore relative influence chemistry (including pH, organic matter, total nitrogen, phosphorus, potassium) topography elevation, slope, aspect, wetness index) on availability micronutrients (Fe, Mn, Cu, Zn, B) using structural equation modeling (SEM) at watershed scale.To do this, levels micronutrients,...

Assimilating Sentinel-2 images with the CERES-Wheat model can improve precision of winter wheat yield estimates at a regional scale. To verify this method, we applied ensemble Kalman filter (EnKF) to assimilate leaf area index (LAI) derived from data and simulated by model. From this, obtained assimilated daily LAI during growth stage across three counties located in southeast Loess Plateau China: Xiangfen, Xinjiang, Wenxi. We assigned weights different stages comparing improved analytic...

Nature reserves are among the most bio-diverse regions worldwide, and rapid accurate identification is a requisite for their management. Based on multi-temporal Sentinel-2 dataset, this study presents three modified vegetation indices (the normalized difference Quercus wutaishanica index (MTM-NDQI), scrub grass (MTM-DSI), ratio shaw (MTM-RSI)) to improve classification accuracy of remote sensing in Lingkong Mountain Reserve China (LMNR). These integrate advantages both typical data. By using...

Enhancing soil organic carbon (SOC) content in farmland is crucial for quality maintenance and food security. However, the relationship between crop rotation SOC sequestration remains unclear. We used sample data on SOC, collected September of every year, from cultivated land monitoring 2017 to 2021, combined with spatially extracted planting system information, focused effects wheat–maize Sushui River Basin. An analysis variance (ANOVA) indicated that was only significantly different wheat...

Taiyuan basin in Chinese Loess Plateau was characterized as the variety of landform, land use fragmentation, low soil organic matter (SOM) and total nitrogen (STN) content; therefore, predictions nutrients area were rather difficult. In this study, three sampling transects cropland from northwest to southeast established visible-near infrared reflectance (VNIR) samples measured. The predicting models for SOM STN based on VNIR established, accuracies assessed by traditional evaluating index,...

The spatial patterns of soil nutrients at the sampling scales are interweaving local and structured variances. In order to unravel variation from original data, two-dimensional empirical mode decomposition (2DEMD) was used decompose their variability into different across a typical watershed. results suggested that 2DEMD could separate represented by IMF1 IMF2-4 residue. Both variance percentages each IMF geostatistical parameters variances (IMF2-4) indicated majority nutrient variations...

(1) Background: Coal mining operations caused severe land subsidence and altered the distributions of soil nutrients that influenced by multiple environmental factors at different scales. However, prediction performances for based on their scale-specific relationships with influencing remains undefined in coal area. The objective this study was to establish models a (2) Methods: Soil samples were collected 1 × km regular grid, contents organic matter, available nitrogen, phosphorus,...

Abstract Many researches have been conducted to understand the scale–location specific variations of soil properties in one‐dimensional samples. However, these results did not enable us properly 2D (two‐dimensional) distributions characteristics, especially coal mining areas. Therefore, objective this study is reveal dependent variation two‐dimensional patterns for and develop a organic matter (SOM) prediction based on those effects area. To end, SOM, porosity, silt were measured top (0–20...

Soil bioavailable micronutrients have a significant impact on soil fertility, quality, maize production, and even environmental quality. However, minimal research has been conducted to characterize the spatial patterns of at large extent within filed reveal relative control factors them global local scale. In study, topsoil samples (0–20 cm plough depth, totaling 4,448) were collected from field determine heterogeneity including iron (Fe), manganese (Mn), copper (Cu), zinc (Zn) boron (B),...

Soil water content is an important variable in hydrology and many related disciplines. It affects runoff from precipitation, groundwater recharge, evapotranspiration. This research used the coal mining area of Changhe River Basin Loess Plateau as a study using SAR (Synthetic Aperture Radar) data, surface soil 24 days (From Jan 25, 2018 to Dec 10, 2019) was estimated radar signal change detection algorithm. The temporal spatial variation characteristics inside outside disturbed were compared...