Advances in Environmental and Engineering Research (AEER) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is devoted to publishing high-quality peer-reviewed papers that describe the most significant and cutting-edge research in all areas of environmental science and engineering. Work at any scale, from molecular biology through to ecology, is welcomed.

Main research areas include (but are not limited to):

  • Atmospheric pollutants
  • Air pollution control engineering
  • Climate change
  • Ecological and human risk assessment
  • Environmental management and policy
  • Environmental impact and risk assessment
  • Environmental microbiology
  • Ecosystem services, biodiversity and natural capital
  • Environmental economics
  • Control and monitoring of pollutants
  • Remediation of polluted soils and water
  • Fate and transport of contaminants
  • Water and wastewater treatment engineering
  • Solid waste treatment

Advances in Environmental and Engineering Research publishes a variety of article types (Original Research, Review, Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, etc.). We encourage authors to be succinct; however, authors should present their results in as much detail as necessary. Reviewers are expected to emphasize scientific rigor and reproducibility.


Publication Speed (median values for papers published in 2023): Submission to First Decision: 6.1 weeks; Submission to Acceptance: 16.1 weeks; Acceptance to Publication: 9 days (1-2 days of FREE language polishing included)

Current Issue: 2024  Archive: 2023 2022 2021 2020

Special Issue

Hyperspectral Remote Sensing

Submission Deadline: September 15, 2021 (Open) Submit Now

Guest Editor

Lei Wang, PhD

Professor, Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA 70803, USA

Tel: 225-578-8876

Fax: 225-578-4420

Website | E-Mail

Research interest: Hydrology; geographic information system; hydrological modeling; mapping; satellite image analysis; satellite image processing; geospatial science; geoinformation; geographic information systems; environment remote sensing; advanced geographic information systems; advanced remote sensing

About This Topic

Dear Colleagues,

I am excited to announce the kickoff of the special issue: Hyperspectral Remote Sensing (HRS) on Advances in Environmental and Engineering Research. Although HRS has been widely used in many areas including water quality, agriculture, geology, limnology, and atmospheric sciences since its first introduction in 1983, it has never been such a grand occasion as right now for the applications of HRS because of that hyperspectral sensors have become affordable to individual research entities, and that two recent technological advances - drones (UAV) and artificial intelligence- provide essential support for data acquisition and information extraction. With airplanes still dominating HRS data acquisition, a blooming of drone-based HRS is evident in the current literature. Technical challenges remain as the obstacle in the applications of HRS, which include image noise, band correlation, high dimensionality, absorption feature overlapping, and geometric distortion. I invite you to contribute to this special issue by submitting your recent work as technical articles or review papers of the applications of HRS.

Interesting topics are but not limited to:

1. Satellite-based HRS
2. UAV platforms and sensors
3. Atmospheric correction
4. Data noise reduction
5. Dimension reduction and feature extraction
6. Band ratio and band selection
7. Vegetation phenology and mapping
8. Soil and mineral spectroscopic analyses
9. Water quality mapping
10. Geologic feature mapping
11. Geometric correction of HRS images
12. Deep learning and data mining of HRS data

Manuscript Submission Information

Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office ( for record. If you have any questions, please do not hesitate to contact the Editorial Office.

Welcome your submission!


Open Access Research Article

Assessment of Factors Affecting the Use of Drones in Map Production

Received: 23 May 2022;  Published: 11 August 2022;  doi: 10.21926/aeer.2203029


Multi-rotor and fixed-wing drones are extensively used to collect the data needed for producing large-scale topographic maps and plans. Several types of drone products are available, and the most important one for surveyors is an orthophoto. Flight planning, the quality of the control data, the assessment of drone products, and [...]
Open Access Concept Paper

Correction of Sunglint Effects in High Spatial Resolution Hyperspectral Imagery Using SWIR or NIR Bands and Taking Account of Spectral Variation of Refractive Index of Water

Received: 26 April 2021;  Published: 05 July 2021;  doi: 10.21926/aeer.2103017


Passive high spatial resolution hyperspectral and multispectral imaging systems in the solar spectral region from aircraft and satellite platforms are being increasingly used for remote sensing of coastal waters and inland lakes. However, the remotely sensed data are often contaminated by the specular reflection of solar radiation [...]