Jie Hu

Jie Hu
  • Doctor of Philosophy
  • PhD Student at University of Wisconsin–Madison

About

19
Publications
9,989
Reads
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1,305
Citations
Introduction
My research focuses on the soil-plant-atmosphere interactions of carbon and water cycling. Interested in large-scale studies of ecosystem functions under climate change and disturbances.
Current institution
University of Wisconsin–Madison
Current position
  • PhD Student
Education
September 2016 - June 2019
Zhejiang University
Field of study
  • Agricultural Remote Sensing
September 2012 - June 2016
Anhui Normal University
Field of study
  • Geographic Information Science

Publications

Publications (19)
Article
Full-text available
High-precision soil organic carbon density (SOCD) map is significant for understanding ecosystem carbon cycles and estimating soil organic carbon storage. However, the current mapping methods are difficult to balance accuracy and interpretability, which brings great challenges to the mapping of SOCD. In the present research, a total of 6223 soil sa...
Article
Full-text available
This article is a Commentary on Zhang et al. (2025), 245: 2467–2479.
Chapter
Irrigated sandy soils in Wisconsin’s Central Sand Plains support intensive potato and vegetable cultivation. We sampled soils from cultivated fields and forest to (i) assess the spatial distribution of soil organic carbon (SOC), (ii) determine changes in SOC over time, and (iii) compare soil properties between land uses. We used aerial imagery to e...
Article
Considerable advances have been made in the assessment and mapping of soil organic carbon stocks, but rates of change in carbon stocks remain to be quantified for many soils and ecosystems. We sampled 145 sandy soils (mostly Psamments) under permanent cultivation and forest. We used aerial imagery to determine the period of cultivation and to calcu...
Article
Full-text available
Conservation priority zones (CPZs) are the most valuable critical areas for maintaining functions of ecosystem. Identifying CPZs and their driving factors of ecosystem services (ESs) is an essential foundation for preventing environmental degradation. The main aims of this study were to determine the CPZs according to the multi-year averaged ESs an...
Article
Full-text available
Current carbon cycle models focus on the effects of climate and land‐use change on primary productivity and microbial‐mineral dependent carbon turnover in the topsoil, while less attention has been paid to vertical soil processes and soil‐dependent response to land‐use change along the profile. In this study, a spatial‐temporal analysis was used to...
Article
Full-text available
Soil organic matter (SOM) is a key factor for evaluating soil fertility. Rapidly monitoring organic matter content in desert soil can provide a scientific basis for the rational development and utilization of reserve arable land resources. Although spectral inversion accuracy for SOM under laboratory-controlled conditions is high, it is time-consum...
Article
Soil carbon (C), nitrogen (N), and phosphorus (P) contents and its stoichiometry are important indicators of the elemental balance in ecological interactions and processes. Farmland usually is featured by extensive anthropogenic actions which profoundly alters the soil C, N, P contents and its stoichiometry. However, it remains largely unknown how...
Article
Due to frequent salt migration and large spatial variability within soil profiles, salinity characterisation by traditional drilling sampling methods is time-consuming and labour-intensive. Thus, it is necessary to develop monitoring technology and three-dimensional (3D) characterisation methods for rapid, non-invasive, and accurate soil salinity m...
Article
Full-text available
Soil salinization is a global issue resulting in soil degradation, arable land loss and ecological environmental deterioration. Over the decades, multispectral and hyperspectral remote sensing have enabled efficient and cost-effective monitoring of salt-affected soils. However, the potential of hyperspectral sensors installed on an unmanned aerial...
Article
Soil erosion is an important environmental threat in China. However, quantitative estimates of soil erosion in China have rarely been reported in the literature. In this study, soil loss potential in China was estimated by integrating satellite images, field samples, and ground observations based on the Revised Universal Soil Loss Equation (RUSLE)....
Article
Soil salinization is one of the main reasons for soil health and ecosystem deterioration in most degraded arid and semiarid areas. To monitor its spatial variation as precise as possible over a large area, we collected 225 samples using traditional field experiment and laboratory analysis method from the southern part of the Xinjiang Province, Chin...
Article
Full-text available
Heavy metal (HM) contamination and accumulation is a serious problem around the world due to the toxicity, abundant sources, non-biodegradable properties, and accumulative behaviour of HMs. The degree of soil HM contamination in China, especially in the Yangtze River Delta, is prominent. In this study, 1822 pairs of soil and crop samples at corresp...
Article
Full-text available
Rapid heavy metal soil surveys at large scale with high sampling density could not be conducted with traditional laboratory physical and chemical analyses because of the high cost, low efficiency and heavy workload involved. This study explored a rapid approach to assess heavy metals contamination in 301 farmland soils from Fuyang in Zhejiang Provi...
Data
Laboratory measured value and PXRF measured value of soil heavy metals of soil samples. This table provides the measured results of heavy metals via laboratory analysis and PXRF method. (XLSX)
Data
Comparison between the prediction accuracy of PLSR models with different spectral preprocessing methods. This table provides the prediction accuracies of five different spectral pretreatment methods(Savitzky-Golay denoising, SG; First-order difference, FD; Absorption rate, ABS; Multiple Scatter Correction, MSC; Standard Normal Variation, SNV). (XLS...
Data
Reflectance of soil samples. This table contanins spectral reflectance of 301 soil samples (Themo XRF). (XLSX)

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