Beijing LICA United Technology Limited

Novel Instruments Provide New Opportunities

Hotline: 010-51292601
Technical Technical
News Technical

Application of ASD FieldSpec 4 Spectrometer on Soil Arsenic Concentration Estimation

Date: 2022-12-06
浏览次数: 3

Heavy metals in soil are harmful, and their migration and accumulation can seriously threaten ecological environmental security and human health. Arsenic (As) exhibits high neurotoxicity and teratogenicity. Much As is released into soil during human activities, including mining operations and industrial production activities. Determining the As concentration in soil quickly and accurately is important for As pollution assessment. The traditional heavy metal survey method aims to perform chemical property testing of soil samples collected in the field, which is a costly and time-consuming method due to the complex field sampling, sample processing and chemical analysis procedures. Hyperspectral remote sensing with a high spectral resolution, wide band range and continuous spectral information is a quickly developing technology that has been widely used in the estimation of soil heavy metal concentrations. However, existing soil heavy metal concentration estimation models based on hyperspectral data ignore the spatial non stationarity of the relationship between the soil spectrum and heavy metal concentration.

Based on this, a group of Chinese scientists from Capital Normal University chose the northeast district of Beijing, China (40°10′0″-40°15′30″ N, 116°58′4″-117°5′4″ E) as a case study area and proposed a novel model (geographically weighted extreme gradient boosting or GW-XGBoost model) combining geographically weighted regression (GWR) method with XGBoost algorithm for estimating soil heavy metal concentration based on the laboratory measured hyperspectral data (ASD FieldSpec 4 spectrometer with a wavelength range of 350 to 2500 nm and a spectrum resampling interval of 1 nm). And then assessed the effectiveness of the proposed model.

Application of ASD FieldSpec 4 Spectrometer on Soil Arsenic Concentration Estimation

Location of study area and samples. (a) location of the study area in Beijing, China. The satellite image is from Bing; and (b) distribution of the samples, mine, tailing ponds and concentrator in the study area, which also shows the river and digital elevation model (DEM).


Application of ASD FieldSpec 4 Spectrometer on Soil Arsenic Concentration Estimation

Flowchart of the As concentration estimation process.


Results:

Application of ASD FieldSpec 4 Spectrometer on Soil Arsenic Concentration Estimation 

Correlation diagram between As and spectrum. The shaded blocks indicate the main chemical absorption ranges.

Application of ASD FieldSpec 4 Spectrometer on Soil Arsenic Concentration Estimation

Scatter plots of the measured As concentration and estimated values via the proposed GW-XGBoost model and two validation models.

Application of ASD FieldSpec 4 Spectrometer on Soil Arsenic Concentration Estimation

Comparison diagrams of the fit between the measured As concentration and estimated values via the proposed GW-XGBoost model and two validation models.

Conclusions: 

The spectral bands chosen for the above As concentration estimation models were related to the absorption effects of spectrally active substances whose surface contains functional groups capable of forming complexes with As. Consideration of this adsorption mechanism in hyperspectral estimation model construction for heavy metal concentrations could effectively reduce the redundancy in hyperspectral data. The GW-XGBoost model effectively improved the estimation accuracy of the soil As concentration because it not only considers the heterogeneity of the relationship between As concentration and spectra but also considers their complex correlations. The GW-XGBoost model facilitated a more accurate estimation of soil heavy metal concentrations, which could provide technical support for large-scale monitoring of soil heavy metal pollution using hyperspectral technology.

News / Related News More
2023 - 02 - 13
Leaf chlorophyll content (LCC) is an important indicator of foliar nitrogen status and photosynthetic capacity. Accurate and timely mapping of LCC will benefit agronomists to guide fertilizer applications and ecologists to improve carbon flux estimation. In recent decades, remote sensing techniques have been widely used to estimate LCC with empirical and physical models.    Physical...
2022 - 12 - 30
Cherry tomato (Solanum lycopersicum) is popular with consumers over the world due to its special flavor. Soluble solids content (SSC) and firmness are two key metrics for evaluating the product qualities. The existing measuring techniques relying upon chemistry reactions can derive the SSC value accurately. However, the destructive methods can not be applied in high volume measurements. Moreover, ...
2022 - 12 - 28
In the Arctic, the air temperature has increased more than twice the global average during the last few decades and may increase by 2-8°C before 2100. Wildfire frequency and expanse in the Arctic have increased in recent years. It can markedly disturb tundra ecosystems in different ways, including above-and belowground plant biomass destruction and alter soil properties through changes in the...
2022 - 12 - 06
Heavy metals in soil are harmful, and their migration and accumulation can seriously threaten ecological environmental security and human health. Arsenic (As) exhibits high neurotoxicity and teratogenicity. Much As is released into soil during human activities, including mining operations and industrial production activities. Determining the As concentration in soil quickly and accurately is impor...
Close window】【Print
Copyright ©2018-2023 LICA United Technology Limited
犀牛云提供企业云服务

LICA United Technology Limited

Address:The 5th.Building,No.18,Anningzhuang East Road,Haidian District, 100085, Beijing, China.

Tel:010-51292601
Fax:010-82899770-8014
E-mail:info@li-ca.com

 


 

 


 
  • Name:
  • *
  • 公司名称:
  • *
  • 地址:
  • *
  • 电话:
  • *
  • 传真:
  • *
  • E-mail:
  • *
  • 邮政编码:
  • *
  • 留言主题:
  • *
  • Details:
  • *
Feedback
Follow us
  • Wechat
  • Mobile Website
友情链接: