基于星地传感技术的土壤盐渍化监测：进展与展望

王敬哲; 丁建丽; 葛翔宇; 彭杰; 胡忠文

doi:10.11834/jrs.20233164

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基于星地传感技术的土壤盐渍化监测：进展与展望
Monitoring soil salinization based on remote sensing and proximal soil sensing： progress and perspective
2023年页码：1-23
网络出版日期： 2023-11-03 ，
DOI： 10.11834/jrs.20233164

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王敬哲，丁建丽，葛翔宇，彭杰，胡忠文.XXXX.基于星地传感技术的土壤盐渍化监测：进展与展望.遥感学报，XX（XX）： 1-23

WANG Jingzhe，DING Jianli，GE Xiangyu，PENG Jie，HU Zhongwen. XXXX. Monitoring soil salinization based on remote sensing and proximal soil sensing： progress and perspective. National Remote Sensing Bulletin， XX（XX）：1-23
王敬哲，丁建丽，葛翔宇，彭杰，胡忠文.XXXX.基于星地传感技术的土壤盐渍化监测：进展与展望.遥感学报，XX（XX）： 1-23 DOI： 10.11834/jrs.20233164.

WANG Jingzhe，DING Jianli，GE Xiangyu，PENG Jie，HU Zhongwen. XXXX. Monitoring soil salinization based on remote sensing and proximal soil sensing： progress and perspective. National Remote Sensing Bulletin， XX（XX）：1-23 DOI： 10.11834/jrs.20233164.

摘要

土壤盐渍化是全球面临的土壤退化和环境恶化的共性问题。近地传感、卫星遥感与机载遥感等星地传感技术的蓬勃发展使得高效且准确的土壤盐分周期监测成为可能，并为土壤盐渍化研究提供了坚实技术支撑。本文针对土壤盐渍化星地传感监测的发展进程，以“数据-方法-应用”为脉络，详细分析梳理了土壤盐渍化监测的原理、主要数据源及主流方法；随后归纳总结当前技术体系的发展现状和监测数据、监测方法及尺度效应等局限性；最后针对基于星地传感技术的土壤盐渍化监测研究的进一步发展提出了展望和设想，明确了多源星地数据融合的次生土壤盐渍化监测；依托多平台开展土壤盐渍化的多尺度协同监测；借助学科交叉加深土壤盐渍化的探测深度；以及基于云计算的土壤盐渍化共享数据集与平台开发等未来需要重点关注的研究方向。

Abstract

As a global problem of soil degradation

salinization has become a major obstacle to the sustainable development of the ecological environment and agriculture. Moreover

it has become one of the major environmental and socioeconomic issues globally. However

the traditional process of salinity survey is too cumbersome

expensive and time-consuming to meet the mapping needs in a large scale. Remote sensing and proximal soil sensing technology has become important tools for rapid

accurate

and efficient acquisition and monitoring of soil salinization. The appropriate mapping methods are directly related to the spatial scale of interest. The need of regional soil salinity mapping was also one of the first published geostatistical applications. Macroscopic maps of salt affected soils at global scale may roughly illustrate the extent of the environmental problem

however regional or greater level assessments are based on remote sensing and geographic information systems coupled with ground measurements. It has become a trend to apply remote sensing technology to the monitoring of soil salinization to obtain soil salinization information. This article discussed the detection mechanisms

multi-source data

and methods for monitoring soil salinization. Multiple sensors installed on different platforms can provide considerable earth observation information with various temporal

spatial

and spectral resolutions. On the basis of height

the observation platforms can be divided into near ground (proximal)

airborne and spaceborne remote sensing. In regard to the operating principle

these sensors can be mainly divided into electromagnetic sensors and optical/radiational sensors. Among them

spectral imaging

thermal infrared sensors are suitable for various observation platforms; while Ground Penetrating Radar (GPR) and Electromagnetic induction (EMI) are only suitable for near ground soil salinization monitoring. Specially

the mainstream methods can be categorized into: (1) thematic information extraction; (2) spectral indices development; (3) quantitative retrieval modelling and (4) digital soil mapping. On this basis

this review summarized and explained the limitations of the current research fields and framework

monitoring data

monitoring methods and scale effects. The integration of spaceborne remote sensing data with ground-based sensor information

complemented by the agile observational capabilities of unmanned aerial vehicles (UAVs)

enables us to transcend the limitations of non-coordinated Earth observation techniques. This integration allows for comprehensive coverage from a broad-scale perspective down to specific localized points. In summary

the core of integration of satellite

UAV and proximal sensing for soil salinization monitoring lies in the fusion of data from diverse sources

the establishment of quantitative models

and the extension of spatial scales. Finally

for future development and actual application needs

this review discussed the prospect for the further development of soil salinization studies based on remote sensing- and proximal soil sensing. To further advance and optimize technology

analysis and retrieval methods

we identify critical future research needs and directions: (1) secondary soil salinization monitoring based on multi-source data fusion; (2) multi-scale collaborative monitoring soil salinization; (3) improving detection depth based on multi-disciplinary knowledge; and (4) shared research data and platform based on cloud computing.

关键词

土壤盐渍化遥感近地传感时空变化数字土壤制图

Keywords

Soil salinizationRemote sensingProximal soil sensingSpatiotemporal variationsDigital soil mapping

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