Research graph
References from Case Studies of Environmental Monitoring Based on the Integrated Use of Bioindicators and Remote Sensing. Local targets link to admitted publications; unresolved targets remain external evidence.
Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
10.1109/mgrs.2017.2762307 · 2017 · External reference
Heavy metal stress and responses in plants
10.1007/s13762-019-02215-8 · 2019 · External reference
Impacts of Particulate Matter Pollution on Plants: Implications for Environmental Biomonitoring
10.1016/j.ecoenv.2016.03.012 · 2016 · External reference
Detecting vegetation stress as a soil contamination proxy: A review of optical proximal and remote sensing techniques
10.1007/s13762-019-02310-w · 2019 · External reference
10.3390/rs16173221
10.3390/rs16173221 · External reference
Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review
10.1016/j.scitotenv.2021.147758 · 2021 · External reference
Responses of Forest Trees to Single and Multiple Environmental Stresses from Seedlings to Mature Plants: Past Stress History, Stress Interactions, Tolerance and Acclimation
10.1016/j.foreco.2010.07.054 · 2010 · External reference
Literature Review as a Research Methodology: An Overview and Guidelines
10.1016/j.jbusres.2019.07.039 · 2019 · External reference
Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research
10.1007/s10488-013-0528-y · 2015 · External reference
Accelerate Synthesis in Ecology and Environmental Sciences
10.1525/bio.2009.59.8.11 · 2009 · External reference
Unresolved reference
External reference
Soil pollution in the European Union—An outlook
10.1016/j.envsci.2024.103876 · 2024 · External reference
Plant Tissues as Biomonitoring Tools for Environmental Contaminants
10.3390/ijpb15020030 · 2024 · External reference
Unresolved reference
External reference
Bioindicators and environmental protection
10.1051/e3sconf/202022205002 · 2020 · External reference
Bioindicators: The natural indicator of environmental pollution
10.1080/21553769.2016.1162753 · 2016 · External reference
Phytoremediation of Heavy Metals—Concepts and Applications
10.1016/j.chemosphere.2013.01.075 · 2013 · External reference
Leaf Optical Properties in Higher Plants: Linking Spectral Characteristics to Stress and Chlorophyll Concentration
10.2307/2657068 · 2001 · External reference
Are there plant biomarkers for microplastic pollution in soil? A review
2023 · External reference
10.3390/su17094115
10.3390/su17094115 · External reference
Toxic Metal Accumulation, Responses to Exposure and Mechanisms of Tolerance in Plants
10.1016/j.biochi.2006.07.003 · 2006 · External reference
The Red Edge Position and Shape as Indicators of Plant Chlorophyll Content, Biomass and Hydric Status
10.1080/01431169408954177 · 1994 · External reference
Biophysical and Biochemical Sources of Variability in Canopy Reflectance
10.1016/s0034-4257(98)00014-5 · 1998 · External reference
Detecting Vegetation Leaf Water Content Using Reflectance in the Optical Domain
10.1016/s0034-4257(01)00191-2 · 2001 · External reference
A global systematic review of the remote sensing vegetation indices
2025 · External reference
Advances in hyperspectral remote sensing of vegetation traits and functions
10.1016/j.rse.2020.112121 · 2021 · External reference
Thermal infrared remote sensing of vegetation: Current status and perspectives
2021 · External reference
Evaluating Heavy-Metal Stress Levels in Rice Using a Theoretical Model of Canopy-Air Temperature and Leaf Area Index Based on Remote Sensing
10.1109/jstars.2017.2669204 · 2017 · External reference
10.3390/rs13040604
10.3390/rs13040604 · External reference
Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications
10.1155/2017/1353691 · 2017 · External reference
PROSPECT+SAIL Models: A Review of Use for Vegetation Characterization
10.1016/j.rse.2008.01.026 · 2009 · External reference
Vegetation Biomass and Nitrogen Content Estimation Using Ensembles: Regression and Active Learning Strategies for Field Sampling Reduction
10.1109/jstars.2024.3375624 · 2024 · External reference
Implementation of Machine-Learning Classification in Remote Sensing: An Applied Review
10.1080/01431161.2018.1433343 · 2018 · External reference
A Tutorial Overview of Anomaly Detection in Hyperspectral Images
10.1109/maes.2010.5546306 · 2010 · External reference
A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation
10.1109/mgrs.2015.2510084 · 2016 · External reference
10.3390/rs14020428
10.3390/rs14020428 · External reference
10.3390/su16135695
10.3390/su16135695 · External reference
Remote sensing analysis techniques and sensor requirements to support the mapping of illegal domestic waste disposal sites in Queensland, Australia
10.3390/rs71013053 · 2015 · External reference
A method for the remote sensing identification of uncontrolled landfills: Formulation and validation
10.1080/01431160701311317 · 2008 · External reference
Ground Magnetometric Surveys and Integrated Geophysical Methods for Solid Buried Waste Detection: A Case Study
2002 · External reference
Detection of Radioactive Waste Sites in the Chornobyl Exclusion Zone Using UAV-Based Lidar Data and Multispectral Imagery
10.1016/j.isprsjprs.2020.06.015 · 2020 · External reference
Solid waste detection, monitoring and mapping in remote sensing images: A Survey
10.1016/j.wasman.2024.08.003 · 2024 · External reference
10.3390/s23083917
10.3390/s23083917 · External reference
Visible and infrared remote imaging of hazardous waste: A review
10.3390/rs2112474 · 2010 · External reference
Present and Long-Term Composition of MSW Landfill Leachate: A Review
10.1080/10643380290813462 · 2002 · External reference
Biogeochemistry of landfill leachate plumes
10.1016/s0883-2927(00)00082-2 · 2001 · External reference
Remote Sensing to Assess Landfill Gas Migration
10.1177/0734242x9401200405 · 1994 · External reference
10.1109/igarss.2013.6723534
10.1109/igarss.2013.6723534 · External reference
10.1109/igarss.2014.6947539
10.1109/igarss.2014.6947539 · External reference
10.1109/icuas57906.2023.10155981
10.1109/icuas57906.2023.10155981 · External reference
10.1109/igarss53475.2024.10640687
10.1109/igarss53475.2024.10640687 · External reference
10.1016/j.envres.2026.125597
10.1016/j.envres.2026.125597 · External reference
Integrated remote sensing for multi-temporal analysis of anthropic activities in the south-east of Mt. Vesuvius National Park
10.1016/j.jafrearsci.2015.12.021 · 2016 · External reference
Unresolved reference
External reference
Data Fusion and Remote Sensing: An Ever-Growing Relationship
10.1109/mgrs.2016.2561021 · 2016 · External reference
Remote sensing and petroleum seepage: A review and case study
2002 · External reference
A spectral-geophysical approach for detecting pipeline leakage
2009 · External reference
Assessing soil contamination due to oil and gas production using vegetation hyperspectral reflectance
10.1021/acs.est.7b04618 · 2018 · External reference
Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks
10.1016/j.rse.2004.06.002 · 2004 · External reference
Continuum removed band depth analysis for detecting the effects of natural gas, methane and ethane on maize reflectance
10.1016/j.rse.2006.07.009 · 2006 · External reference
Hyperspectral indices for detecting changes in canopy reflectance as a result of underground natural gas leakage
10.1080/01431160801961383 · 2008 · External reference
A Spatial-Spectral Approach for Visualization of Vegetation Stress Resulting from Pipeline Leakage
10.3390/s8063733 · 2008 · External reference
10.3390/rs13173376
10.3390/rs13173376 · External reference
A method for detecting underground natural gas pipeline micro-leakage in vegetated areas using high spatial resolution hyperspectral imagery
10.1016/j.jgsce.2023.204882 · 2023 · External reference
10.3390/rs16061029
10.3390/rs16061029 · External reference
Unravelling Remote Sensing Signatures of Plants Contaminated with Gasoline and Diesel: An Approach Using the Red Edge Spectral Feature
10.1016/j.envpol.2012.10.029 · 2013 · External reference
Detection and discrimination of oil and water deficit-induced stress in maize (Zea mays L.) using spectral and thermal responses
10.9790/2402-0335357 · 2013 · External reference
Early Detection of Pipeline Natural Gas Leakage from Hyperspectral Imaging by Vegetation Indicators and Deep Neural Networks
10.1021/acs.est.4c03345 · 2024 · External reference
Spectroscopic Remote Sensing of Plant Stress at Leaf and Canopy Levels Using the Chlorophyll 680 nm Absorption Feature with Continuum Removal
10.1016/j.isprsjprs.2014.08.015 · 2014 · External reference
A Real-World Hyperspectral Image Processing Workflow for Vegetation Stress and Hydrocarbon Indirect Detection
10.5194/isprs-archives-xliii-b3-2020-395-2020 · 2020 · External reference
Hyperspectral Image Analysis Techniques for the Detection and Classification of the Early Onset of Plant Disease and Stress
10.1186/s13007-017-0233-z · 2017 · External reference
10.20944/preprints202506.1334.v1
10.20944/preprints202506.1334.v1 · External reference
Unresolved reference
External reference
Characterization of Landfill Leachate and their Toxic Effects on Germination and Seedling Growth of Various Plant Species—A Case Study
10.12911/22998993/193481 · 2024 · External reference
10.3390/ijerph20054448
10.3390/ijerph20054448 · External reference
10.3390/w14223634
10.3390/w14223634 · External reference
10.3390/ecrs2023-15865
10.3390/ecrs2023-15865 · External reference
10.3390/rs18010057
10.3390/rs18010057 · External reference
A comparison of satellite-based indices for hazard assessment of MSW open dumps using spatial analysis
10.1177/0734242x18815963 · 2019 · External reference
10.3390/environments10070128
10.3390/environments10070128 · External reference
Use of remote sensing to assess vegetative stress as a proxy for soil contamination
10.1039/d3em00480e · 2024 · External reference
Mapping leaf metal content over industrial brownfields using airborne hyperspectral imaging and optimized vegetation indices
10.1038/s41598-020-79439-z · 2021 · External reference
10.20944/preprints202503.0068.v1
10.20944/preprints202503.0068.v1 · External reference
Mechanism of growth inhibition mediated by disorder of chlorophyll metabolism in rice (Oryza sativa) under the stress of three polycyclic aromatic hydrocarbons
10.1016/j.chemosphere.2023.138554 · 2023 · External reference
Morphological and physiological responses of maize (Zea mays) exposed to sand contaminated by phenanthrene
10.1016/j.chemosphere.2014.11.051 · 2015 · External reference
Overall plant responses to Cd and Pb metal stress in maize: Growth pattern, ultrastructure, and photosynthetic activity
10.1007/s11356-018-3743-y · 2019 · External reference
10.3390/agriculture13101983
10.3390/agriculture13101983 · External reference
Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges
10.1016/j.isprsjprs.2017.12.003 · 2018 · External reference
Detection and Discrimination of Various Oil-Contaminated Soils Using Vegetation Reflectance
10.1016/j.scitotenv.2018.11.314 · 2019 · External reference
10.3390/rs11192241
10.3390/rs11192241 · External reference
Hg and As Pollution in the Soil-Plant System Evaluated by Combining Multispectral UAV-RS, Geochemical Survey and Machine Learning
10.1016/j.envpol.2023.122066 · 2023 · External reference
Three-dimensional spatial distribution of elemental lead (Pb) stress in vegetation within the Yueliangbao gold mining area
10.1007/s10653-025-02889-9 · 2025 · External reference
A Method for the Integration of Satellite Vegetation Activities Observations and Magnetic Susceptibility Measurements for Monitoring Heavy Metals in Soil
2012 · External reference
Phyto-identification of leached metal contamination using satellite remote sensing: A case study on a coal-fired power plant
10.1007/s10661-026-15123-5 · 2026 · External reference
A Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing
10.3390/rs4020327 · 2012 · External reference
10.3389/fpls.2023.1208405
10.3389/fpls.2023.1208405 · External reference
10.3390/toxics9030042
10.3390/toxics9030042 · External reference
Pesticide contamination in agro-ecosystems: Toxicity, impacts, and bio-based management strategies
10.1007/s11356-022-24381-y · 2023 · External reference
Insights on persistent herbicides in cropland soils in northern China: Occurrence, ecological risks, and phytotoxicity to subsequent crops
10.1016/j.jhazmat.2025.137794 · 2025 · External reference
Dicamba Injury on Soybean Assessed Visually and with Spectral Vegetation Index
10.3390/agriengineering3020016 · 2021 · External reference
Early Detection of Crop Injury from Glyphosate on Soybean and Cotton Using Plant Leaf Hyperspectral Data
10.3390/rs6021538 · 2014 · External reference
10.3390/agronomy10091409
10.3390/agronomy10091409 · External reference
Hyperspectral signatures reveal hidden stress in soybean caused by residual nicosulfuron
2026 · External reference
10.3390/rs11212541
10.3390/rs11212541 · External reference
Assessing Plant Pigmentation Impacts: A Novel Approach Integrating UAV and Multispectral Data to Analyze Atrazine Metabolite Effects from Soil Contamination
10.1016/j.atech.2024.100570 · 2024 · External reference
Digital mapping of pesticides bioconcentration by integrating remote sensing techniques and plant uptake model
10.1080/17538947.2023.2220616 · 2023 · External reference
Integrating Remote Sensing and AI for precision Monitoring of Soil and Vegetation Contamination
10.5194/isprs-archives-xlviii-g-2025-1373-2025 · 2025 · External reference
Oil Impacts on Coastal Wetlands: Implications for the Mississippi River Delta Ecosystem after the Deepwater Horizon Oil Spill
10.1525/bio.2012.62.6.7 · 2012 · External reference
10.1109/igarss47720.2021.9553256
10.1109/igarss47720.2021.9553256 · External reference
10.3390/rs17030358
10.3390/rs17030358 · External reference
Mapping and Monitoring Louisiana’s Mangroves in the Aftermath of the 2010 Gulf of Mexico Oil Spill
10.2112/jcoastres-d-11-00028.1 · 2011 · External reference
Monitoring mangrove degradation caused by oil spills using spaceborne multispectral and SAR imagery
10.1016/j.marpolbul.2025.118281 · 2025 · External reference
10.1371/journal.pone.0054028
10.1371/journal.pone.0054028 · External reference
10.3390/jmse14100892
10.3390/jmse14100892 · External reference
Tracking canopy gaps in mangroves remotely using deep learning
10.1002/rse2.289 · 2022 · External reference
Advances in multi- and hyperspectral remote sensing of mangrove species: A synthesis and study case on airborne and multisource spaceborne imagery
10.1016/j.isprsjprs.2022.12.003 · 2023 · External reference
Application of hyperspectral remote sensing for environment monitoring in mining areas
10.1007/s12665-011-1112-y · 2012 · External reference
Estimate of heavy metal contamination in soils after a mining accident using reflectance spectroscopy
10.1021/es015747j · 2002 · External reference
Unresolved reference
External reference
Integrating remote sensing and plant physiology to assess the effects of mining pollution in a desert ecosystem
10.1016/j.scitotenv.2025.181236 · 2026 · External reference
Assessing leaf spectral properties of Phragmites australis impacted by acid mine drainage
2014 · External reference
Pioneer vegetation as an indicator of the geochemical parameters in abandoned mine sites using hyperspectral airborne data
10.1007/s12665-016-5367-1 · 2016 · External reference
Unresolved reference
External reference
Physiological responses and accumulation of heavy metals and arsenic of Medicago sativa L. growing on acidic copper mine tailings in arid lands
10.1016/j.gexplo.2015.05.011 · 2015 · External reference
10.3390/rs10081211
10.3390/rs10081211 · External reference
Spectral Indices for Monitoring Soil Heavy Metal Contamination: Direct Soil and Vegetation Proxy Approaches, Current Trends and Future Prospects
2025 · External reference
10.3389/fagro.2025.1670380
10.3389/fagro.2025.1670380 · External reference
Monitoring Soil Arsenic Content in Densely Vegetated Agricultural Areas Using UAV Hyperspectral, Satellite Multispectral and SAR Data
10.1016/j.jhazmat.2024.136689 · 2025 · External reference
Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging
10.1016/j.snb.2018.06.121 · 2018 · External reference
Pipeline for imaging, extraction, pre-processing, and processing of time-series hyperspectral data for discriminating drought stress origin in tomatoes
10.1016/j.mex.2019.02.022 · 2019 · External reference
A spatio temporal spectral framework for plant stress phenotyping
10.1186/s13007-019-0398-8 · 2019 · External reference
Improving heavy metal prediction using hybrid feature selection and ensemble learning with multi-source remote sensing in Red River Delta mangroves, Vietnam
10.1080/01431161.2026.2687820 · 2026 · External reference
Tracking canopy gaps in mangroves remotely using deep learning
10.1002/rse2.289 · ExternalCitation · doi-reference
Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research
10.1007/s10488-013-0528-y · ExternalCitation · doi-reference
Three-dimensional spatial distribution of elemental lead (Pb) stress in vegetation within the Yueliangbao gold mining area
10.1007/s10653-025-02889-9 · ExternalCitation · doi-reference
Phyto-identification of leached metal contamination using satellite remote sensing: A case study on a coal-fired power plant
10.1007/s10661-026-15123-5 · ExternalCitation · doi-reference
Overall plant responses to Cd and Pb metal stress in maize: Growth pattern, ultrastructure, and photosynthetic activity
10.1007/s11356-018-3743-y · ExternalCitation · doi-reference
Pesticide contamination in agro-ecosystems: Toxicity, impacts, and bio-based management strategies
10.1007/s11356-022-24381-y · ExternalCitation · doi-reference
Application of hyperspectral remote sensing for environment monitoring in mining areas
10.1007/s12665-011-1112-y · ExternalCitation · doi-reference
Pioneer vegetation as an indicator of the geochemical parameters in abandoned mine sites using hyperspectral airborne data
10.1007/s12665-016-5367-1 · ExternalCitation · doi-reference
Heavy metal stress and responses in plants
10.1007/s13762-019-02215-8 · ExternalCitation · doi-reference
Detecting vegetation stress as a soil contamination proxy: A review of optical proximal and remote sensing techniques
10.1007/s13762-019-02310-w · ExternalCitation · doi-reference
Assessing Plant Pigmentation Impacts: A Novel Approach Integrating UAV and Multispectral Data to Analyze Atrazine Metabolite Effects from Soil Contamination
10.1016/j.atech.2024.100570 · ExternalCitation · doi-reference
Toxic Metal Accumulation, Responses to Exposure and Mechanisms of Tolerance in Plants
10.1016/j.biochi.2006.07.003 · ExternalCitation · doi-reference
Phytoremediation of Heavy Metals—Concepts and Applications
10.1016/j.chemosphere.2013.01.075 · ExternalCitation · doi-reference
Morphological and physiological responses of maize (Zea mays) exposed to sand contaminated by phenanthrene
10.1016/j.chemosphere.2014.11.051 · ExternalCitation · doi-reference
Mechanism of growth inhibition mediated by disorder of chlorophyll metabolism in rice (Oryza sativa) under the stress of three polycyclic aromatic hydrocarbons
10.1016/j.chemosphere.2023.138554 · ExternalCitation · doi-reference
Impacts of Particulate Matter Pollution on Plants: Implications for Environmental Biomonitoring
10.1016/j.ecoenv.2016.03.012 · ExternalCitation · doi-reference
Unravelling Remote Sensing Signatures of Plants Contaminated with Gasoline and Diesel: An Approach Using the Red Edge Spectral Feature
10.1016/j.envpol.2012.10.029 · ExternalCitation · doi-reference
Hg and As Pollution in the Soil-Plant System Evaluated by Combining Multispectral UAV-RS, Geochemical Survey and Machine Learning
10.1016/j.envpol.2023.122066 · ExternalCitation · doi-reference
10.1016/j.envres.2026.125597
10.1016/j.envres.2026.125597 · ExternalCitation · doi-reference
Soil pollution in the European Union—An outlook
10.1016/j.envsci.2024.103876 · ExternalCitation · doi-reference
Responses of Forest Trees to Single and Multiple Environmental Stresses from Seedlings to Mature Plants: Past Stress History, Stress Interactions, Tolerance and Acclimation
10.1016/j.foreco.2010.07.054 · ExternalCitation · doi-reference
Physiological responses and accumulation of heavy metals and arsenic of Medicago sativa L. growing on acidic copper mine tailings in arid lands
10.1016/j.gexplo.2015.05.011 · ExternalCitation · doi-reference
Spectroscopic Remote Sensing of Plant Stress at Leaf and Canopy Levels Using the Chlorophyll 680 nm Absorption Feature with Continuum Removal
10.1016/j.isprsjprs.2014.08.015 · ExternalCitation · doi-reference
Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges
10.1016/j.isprsjprs.2017.12.003 · ExternalCitation · doi-reference
Detection of Radioactive Waste Sites in the Chornobyl Exclusion Zone Using UAV-Based Lidar Data and Multispectral Imagery
10.1016/j.isprsjprs.2020.06.015 · ExternalCitation · doi-reference
Advances in multi- and hyperspectral remote sensing of mangrove species: A synthesis and study case on airborne and multisource spaceborne imagery
10.1016/j.isprsjprs.2022.12.003 · ExternalCitation · doi-reference
Integrated remote sensing for multi-temporal analysis of anthropic activities in the south-east of Mt. Vesuvius National Park
10.1016/j.jafrearsci.2015.12.021 · ExternalCitation · doi-reference
Literature Review as a Research Methodology: An Overview and Guidelines
10.1016/j.jbusres.2019.07.039 · ExternalCitation · doi-reference
A method for detecting underground natural gas pipeline micro-leakage in vegetated areas using high spatial resolution hyperspectral imagery
10.1016/j.jgsce.2023.204882 · ExternalCitation · doi-reference
Monitoring Soil Arsenic Content in Densely Vegetated Agricultural Areas Using UAV Hyperspectral, Satellite Multispectral and SAR Data
10.1016/j.jhazmat.2024.136689 · ExternalCitation · doi-reference
Insights on persistent herbicides in cropland soils in northern China: Occurrence, ecological risks, and phytotoxicity to subsequent crops
10.1016/j.jhazmat.2025.137794 · ExternalCitation · doi-reference
Monitoring mangrove degradation caused by oil spills using spaceborne multispectral and SAR imagery
10.1016/j.marpolbul.2025.118281 · ExternalCitation · doi-reference
Pipeline for imaging, extraction, pre-processing, and processing of time-series hyperspectral data for discriminating drought stress origin in tomatoes
10.1016/j.mex.2019.02.022 · ExternalCitation · doi-reference
Use of hyperspectral derivative ratios in the red-edge region to identify plant stress responses to gas leaks
10.1016/j.rse.2004.06.002 · ExternalCitation · doi-reference
Continuum removed band depth analysis for detecting the effects of natural gas, methane and ethane on maize reflectance
10.1016/j.rse.2006.07.009 · ExternalCitation · doi-reference
PROSPECT+SAIL Models: A Review of Use for Vegetation Characterization
10.1016/j.rse.2008.01.026 · ExternalCitation · doi-reference
Advances in hyperspectral remote sensing of vegetation traits and functions
10.1016/j.rse.2020.112121 · ExternalCitation · doi-reference
Detection and Discrimination of Various Oil-Contaminated Soils Using Vegetation Reflectance
10.1016/j.scitotenv.2018.11.314 · ExternalCitation · doi-reference
Monitoring natural and anthropogenic plant stressors by hyperspectral remote sensing: Recommendations and guidelines based on a meta-review
10.1016/j.scitotenv.2021.147758 · ExternalCitation · doi-reference
Integrating remote sensing and plant physiology to assess the effects of mining pollution in a desert ecosystem
10.1016/j.scitotenv.2025.181236 · ExternalCitation · doi-reference
Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging
10.1016/j.snb.2018.06.121 · ExternalCitation · doi-reference
Solid waste detection, monitoring and mapping in remote sensing images: A Survey
10.1016/j.wasman.2024.08.003 · ExternalCitation · doi-reference
Detecting Vegetation Leaf Water Content Using Reflectance in the Optical Domain
10.1016/s0034-4257(01)00191-2 · ExternalCitation · doi-reference
Biophysical and Biochemical Sources of Variability in Canopy Reflectance
10.1016/s0034-4257(98)00014-5 · ExternalCitation · doi-reference
Biogeochemistry of landfill leachate plumes
10.1016/s0883-2927(00)00082-2 · ExternalCitation · doi-reference
Early Detection of Pipeline Natural Gas Leakage from Hyperspectral Imaging by Vegetation Indicators and Deep Neural Networks
10.1021/acs.est.4c03345 · ExternalCitation · doi-reference
Assessing soil contamination due to oil and gas production using vegetation hyperspectral reflectance
10.1021/acs.est.7b04618 · ExternalCitation · doi-reference
Estimate of heavy metal contamination in soils after a mining accident using reflectance spectroscopy
10.1021/es015747j · ExternalCitation · doi-reference
Mapping leaf metal content over industrial brownfields using airborne hyperspectral imaging and optimized vegetation indices
10.1038/s41598-020-79439-z · ExternalCitation · doi-reference
Use of remote sensing to assess vegetative stress as a proxy for soil contamination
10.1039/d3em00480e · ExternalCitation · doi-reference
Bioindicators and environmental protection
10.1051/e3sconf/202022205002 · ExternalCitation · doi-reference
A method for the remote sensing identification of uncontrolled landfills: Formulation and validation
10.1080/01431160701311317 · ExternalCitation · doi-reference
Hyperspectral indices for detecting changes in canopy reflectance as a result of underground natural gas leakage
10.1080/01431160801961383 · ExternalCitation · doi-reference
Implementation of Machine-Learning Classification in Remote Sensing: An Applied Review
10.1080/01431161.2018.1433343 · ExternalCitation · doi-reference
Improving heavy metal prediction using hybrid feature selection and ensemble learning with multi-source remote sensing in Red River Delta mangroves, Vietnam
10.1080/01431161.2026.2687820 · ExternalCitation · doi-reference
The Red Edge Position and Shape as Indicators of Plant Chlorophyll Content, Biomass and Hydric Status
10.1080/01431169408954177 · ExternalCitation · doi-reference
Present and Long-Term Composition of MSW Landfill Leachate: A Review
10.1080/10643380290813462 · ExternalCitation · doi-reference
Digital mapping of pesticides bioconcentration by integrating remote sensing techniques and plant uptake model
10.1080/17538947.2023.2220616 · ExternalCitation · doi-reference
Bioindicators: The natural indicator of environmental pollution
10.1080/21553769.2016.1162753 · ExternalCitation · doi-reference
10.1109/icuas57906.2023.10155981
10.1109/icuas57906.2023.10155981 · ExternalCitation · doi-reference
10.1109/igarss.2013.6723534
10.1109/igarss.2013.6723534 · ExternalCitation · doi-reference
10.1109/igarss.2014.6947539
10.1109/igarss.2014.6947539 · ExternalCitation · doi-reference
10.1109/igarss47720.2021.9553256
10.1109/igarss47720.2021.9553256 · ExternalCitation · doi-reference
10.1109/igarss53475.2024.10640687
10.1109/igarss53475.2024.10640687 · ExternalCitation · doi-reference
Evaluating Heavy-Metal Stress Levels in Rice Using a Theoretical Model of Canopy-Air Temperature and Leaf Area Index Based on Remote Sensing
10.1109/jstars.2017.2669204 · ExternalCitation · doi-reference
Vegetation Biomass and Nitrogen Content Estimation Using Ensembles: Regression and Active Learning Strategies for Field Sampling Reduction
10.1109/jstars.2024.3375624 · ExternalCitation · doi-reference
A Tutorial Overview of Anomaly Detection in Hyperspectral Images
10.1109/maes.2010.5546306 · ExternalCitation · doi-reference
A Survey on Gaussian Processes for Earth-Observation Data Analysis: A Comprehensive Investigation
10.1109/mgrs.2015.2510084 · ExternalCitation · doi-reference
Data Fusion and Remote Sensing: An Ever-Growing Relationship
10.1109/mgrs.2016.2561021 · ExternalCitation · doi-reference
Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
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