Aqil Tariq
Biographic Data
| ID | 4463841 |
|---|---|
| NAME | Aqil Tariq |
| GIVEN NAMES | Aqil |
| FAMILY NAME | Tariq |
| SIGNATURE | TARIQ A |
| AFFILIATIONS | Mississippi State University |
| ORCID | 0000-0003-1196-1248 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Basin-scale neotectonic assessment using fractal analysis and GEDTM-derived geomorphometric indices
Modeling Land-Use Dynamics and Urban Growth Prediction Using an ANN-Based Cellular Automata–Markov Chain in Class-I Urban Agglomeration
Urban areas worldwide are witnessing significant population growth and extensive built-up development within their city space and surrounding suburban areas. This results in substantial landscape changes and raises serious concerns regarding the impact on the natural environment. Therefore, monitoring urban dynamics and changes in natural land use is crucial. This study focuses on modeling land-use dynamics and urban growth prediction in a Class-…
Assessing Vegetation Degradation and Thermal Effects of Artisanal Small‐Scale Mining Using Remote Sensing Time Series Data
Artisanal and small‐scale mining (ASM) has significant environmental implications, including land degradation, deforestation, and thermal ecological changes. However, few studies have systematically quantified the spatiotemporal impacts of ASM on vegetation health and land surface temperature (LST) in sub‐Saharan Africa, and none have applied pixel‐based transition analysis and regression modeling to capture detailed trends at mining sites. This …
Integration of Multi‐Sensor Remote Sensing for Environmental Monitoring: Assessment of Wetland Degradation in Semi‐Arid Ecosystems
Environmental monitoring of wetland ecosystems using conventional single‐sensor approaches faces significant limitations in assessment accuracy and temporal consistency. This study develops and validates an integrated environmental assessment framework combining optical and radar remote sensing for monitoring critical wetland degradation in semi‐arid ecosystems. The assessment methodology integrates Sentinel‐1 SAR data (VV and VH polarizations in…
Artificial intelligence-driven forest fire land susceptibility mapping: A remote sensing and machine learning approach
Transboundary deforestation and flood risk: Assessing the need for collaborative policy between India and Nepal’s Siwalik regions
Assesses transboundary deforestation and flood risk in India–Nepal’s Siwalik regions. • Links forest loss to increased soil erosion, runoff, and flood vulnerability. • Reviews policy gaps and challenges in cross-border forest management. • Proposes a collaborative framework for joint conservation and risk reduction. • Emphasizes community and international cooperation for sustainable solutions. The Siwalik foothills of India and Nepal have experi…
Assessment and Evaluation of Spatio‐Temporal Dynamics of Mangrove Ecosystem Change Through Fusion of Optical, SAR , and Topographic Data
This study examines the spatiotemporal dynamics of mangrove forests in the Indus Delta and Sandspit region of Sindh, Pakistan, from 2016 to 2023, utilizing a multi‐sensor remote sensing approach. Leveraging the capabilities of Google Earth Engine (GEE), satellite datasets from Sentinel‐1, Sentinel‐2, Landsat‐8, and ALOS were processed to monitor changes in mangrove extent, structure, and health. Annual composites were generated after applying rig…
Multi-temporal analysis of forest canopy cover in Ngel Nyaki Forest Reserve using the Sentinel-1 and Sentinel-2 data
This research used the Sentinel-1 and Sentinel-2 data to map forest canopy cover. The main aim of this study is to assess the capability and value of SAR and Optical image data for mapping, estimating, and monitoring forest canopy cover and its parameters in the Ngel Nyaki Forest Reserve in the Mambilla Plateau, Taraba State, Nigeria. The spatial distribution pattern of forest vegetation cover between 2015 and 2021 was analyzed using a random for…
Green or Grey: Investigating the urban rivers' landscapes along the capital cities of Western Balkans
Urban watercourses are vital natural elements within cities that can provide multiple ecosystem services to society. However, rivers are under continuous urbanization pressures in developing urban areas like the post-socialist countries. We focus on the Western Balkans (WB) countries to assess the relationship between the urban rivers and the respective metropolitan capital areas. First, we analyze the land use and land cover (LULC) along the res…
Synergistic Pathways of the Grand Ethiopian Renaissance Dam (Gerd) and green legacy initiative in shaping hydrological stress and land surface temperature in Abay Basin
The Great Ethiopian Renaissance Dam (GERD) construction and the Green Legacy Initiative (GLI) have significantly contributed to environmental resilience, including climate change mitigation, soil moisture, hydrology, riparian vegetation, and agricultural land. The present study evaluated changes in Land Use and Land Cover (LULC), moisture, and temperature conditions between February 2018, 2022, and 2025. Landsat satellite imagery was employed to …
Modeling mining-induced land degradation in Itagunmodi: A multi-temporal machine learning approach with random forest and gradient boosting
Mining activities significantly impact LULC (LULC) dynamics, often leading to environmental degradation and socio-economic consequences. This study employs a multi-temporal machine learning approach using Smile Random Forest (SRF) and Smile Gradient Tree Boost (SGTB) models to analyze and predict mining-induced LULC changes in Itagunmodi, Osun State, Nigeria, from 2002 to 2024, with projections for 2034. Multi-temporal satellite imagery from Land…
Community perceptions of potable water quality and public health implications in flood-affected areas of Nowshera District, Pakistan
Reimagining land use policies: Carbon trade-offs between urbanization and ecological restoration
Analyzing and predicting land use and land cover dynamics using multispectral high-resolution imagery and hybrid CA-Markov modeling
Rapid land use and land cover (LULC) change, driven primarily by urbanization, presents significant challenges to ecological conservation and sustainable development. Understanding and predicting these transformations is crucial for effective land management and policy formulation. This study investigates the dynamic LULC changes in Okara District, Pakistan, from 1994 to 2024 and projects future patterns for 2034 and 2044 using the Cellular Autom…
A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China
Prioritizing threats to rare and endemic species: Expertise to insights
Analyzing and predicting land use and land cover dynamics using multispectral high-resolution imagery and hybrid CA-Markov modeling
Rapid land use and land cover (LULC) change, driven primarily by urbanization, presents significant challenges to ecological conservation and sustainable development. Understanding and predicting these transformations is crucial for effective land management and policy formulation. This study investigates the dynamic LULC changes in Okara District, Pakistan, from 1994 to 2024 and projects future patterns for 2034 and 2044 using the Cellular Autom…
Multi-temporal analysis of forest canopy cover in Ngel Nyaki Forest Reserve using the Sentinel-1 and Sentinel-2 data
This research used the Sentinel-1 and Sentinel-2 data to map forest canopy cover. The main aim of this study is to assess the capability and value of SAR and Optical image data for mapping, estimating, and monitoring forest canopy cover and its parameters in the Ngel Nyaki Forest Reserve in the Mambilla Plateau, Taraba State, Nigeria. The spatial distribution pattern of forest vegetation cover between 2015 and 2021 was analyzed using a random for…
Green or Grey: Investigating the urban rivers' landscapes along the capital cities of Western Balkans
Urban watercourses are vital natural elements within cities that can provide multiple ecosystem services to society. However, rivers are under continuous urbanization pressures in developing urban areas like the post-socialist countries. We focus on the Western Balkans (WB) countries to assess the relationship between the urban rivers and the respective metropolitan capital areas. First, we analyze the land use and land cover (LULC) along the res…
Synergistic Pathways of the Grand Ethiopian Renaissance Dam (Gerd) and green legacy initiative in shaping hydrological stress and land surface temperature in Abay Basin
The Great Ethiopian Renaissance Dam (GERD) construction and the Green Legacy Initiative (GLI) have significantly contributed to environmental resilience, including climate change mitigation, soil moisture, hydrology, riparian vegetation, and agricultural land. The present study evaluated changes in Land Use and Land Cover (LULC), moisture, and temperature conditions between February 2018, 2022, and 2025. Landsat satellite imagery was employed to …
Modeling mining-induced land degradation in Itagunmodi: A multi-temporal machine learning approach with random forest and gradient boosting
Mining activities significantly impact LULC (LULC) dynamics, often leading to environmental degradation and socio-economic consequences. This study employs a multi-temporal machine learning approach using Smile Random Forest (SRF) and Smile Gradient Tree Boost (SGTB) models to analyze and predict mining-induced LULC changes in Itagunmodi, Osun State, Nigeria, from 2002 to 2024, with projections for 2034. Multi-temporal satellite imagery from Land…
Community perceptions of potable water quality and public health implications in flood-affected areas of Nowshera District, Pakistan
Reimagining land use policies: Carbon trade-offs between urbanization and ecological restoration
Analyzing and predicting land use and land cover dynamics using multispectral high-resolution imagery and hybrid CA-Markov modeling
Rapid land use and land cover (LULC) change, driven primarily by urbanization, presents significant challenges to ecological conservation and sustainable development. Understanding and predicting these transformations is crucial for effective land management and policy formulation. This study investigates the dynamic LULC changes in Okara District, Pakistan, from 1994 to 2024 and projects future patterns for 2034 and 2044 using the Cellular Autom…
A comprehensive framework for evaluating ecosystem quality changes and human activity contributions in Inner Mongolia and Xinjiang, China
Prioritizing threats to rare and endemic species: Expertise to insights
Basin-scale neotectonic assessment using fractal analysis and GEDTM-derived geomorphometric indices
Modeling Land-Use Dynamics and Urban Growth Prediction Using an ANN-Based Cellular Automata–Markov Chain in Class-I Urban Agglomeration
Urban areas worldwide are witnessing significant population growth and extensive built-up development within their city space and surrounding suburban areas. This results in substantial landscape changes and raises serious concerns regarding the impact on the natural environment. Therefore, monitoring urban dynamics and changes in natural land use is crucial. This study focuses on modeling land-use dynamics and urban growth prediction in a Class-…
Assessing Vegetation Degradation and Thermal Effects of Artisanal Small‐Scale Mining Using Remote Sensing Time Series Data
Artisanal and small‐scale mining (ASM) has significant environmental implications, including land degradation, deforestation, and thermal ecological changes. However, few studies have systematically quantified the spatiotemporal impacts of ASM on vegetation health and land surface temperature (LST) in sub‐Saharan Africa, and none have applied pixel‐based transition analysis and regression modeling to capture detailed trends at mining sites. This …
Integration of Multi‐Sensor Remote Sensing for Environmental Monitoring: Assessment of Wetland Degradation in Semi‐Arid Ecosystems
Environmental monitoring of wetland ecosystems using conventional single‐sensor approaches faces significant limitations in assessment accuracy and temporal consistency. This study develops and validates an integrated environmental assessment framework combining optical and radar remote sensing for monitoring critical wetland degradation in semi‐arid ecosystems. The assessment methodology integrates Sentinel‐1 SAR data (VV and VH polarizations in…
Artificial intelligence-driven forest fire land susceptibility mapping: A remote sensing and machine learning approach
Transboundary deforestation and flood risk: Assessing the need for collaborative policy between India and Nepal’s Siwalik regions
Assesses transboundary deforestation and flood risk in India–Nepal’s Siwalik regions. • Links forest loss to increased soil erosion, runoff, and flood vulnerability. • Reviews policy gaps and challenges in cross-border forest management. • Proposes a collaborative framework for joint conservation and risk reduction. • Emphasizes community and international cooperation for sustainable solutions. The Siwalik foothills of India and Nepal have experi…
Assessment and Evaluation of Spatio‐Temporal Dynamics of Mangrove Ecosystem Change Through Fusion of Optical, SAR , and Topographic Data
This study examines the spatiotemporal dynamics of mangrove forests in the Indus Delta and Sandspit region of Sindh, Pakistan, from 2016 to 2023, utilizing a multi‐sensor remote sensing approach. Leveraging the capabilities of Google Earth Engine (GEE), satellite datasets from Sentinel‐1, Sentinel‐2, Landsat‐8, and ALOS were processed to monitor changes in mangrove extent, structure, and health. Annual composites were generated after applying rig…
Land use (6 works) · Remote Sensing in Agriculture (6 works) · Environmental Science (5 works) · Geography (5 works) · Land cover (5 works) · Land Use and Ecosystem Services (5 works) · Climate change (4 works) · Ecology (4 works) · Biology (3 works) · Flood Risk Assessment and Management (3 works)