Advancements of remote data acquisition and processing in unmanned vehicle technologies for water quality monitoring: An extensive review
Regular water quality monitoring is becoming desirable due to the increase in water
pollution caused by both climate change and the generation of industrial chemicals …
pollution caused by both climate change and the generation of industrial chemicals …
[HTML][HTML] Evaluation of various deep learning algorithms for landslide and sinkhole detection from UAV imagery in a semi-arid environment
N Kariminejad, H Shahabi, O Ghorbanzadeh… - Earth Systems and …, 2024 - Springer
Sinkholes and landslides occur due to soil collapse in different slope types, often triggered
by heavy rainfall, presenting challenges in the semi-arid Golestan province, Iran. This study …
by heavy rainfall, presenting challenges in the semi-arid Golestan province, Iran. This study …
Detection of land subsidence using hybrid and ensemble deep learning models
N Kariminejad, A Mohammadifar, A Sepehr… - Applied Geomatics, 2024 - Springer
Land subsidence (LS) is among the most prominent forms of subsurface erosion and
geomorphological hazards. This study used two deep learning (DL) models consisting of the …
geomorphological hazards. This study used two deep learning (DL) models consisting of the …
[PDF][PDF] Soil conservation at the gully plot scale in the tropical volcanic landscape of Sumbing.
Soil conservation at the gully plot scale in the tropical volcanic landscape of Sumbing Page 1
AIMS Environmental Science, 10(6): 832–846. DOI: 10.3934/environsci.2023045 Received: 27 …
AIMS Environmental Science, 10(6): 832–846. DOI: 10.3934/environsci.2023045 Received: 27 …
[PDF][PDF] Multi-Aspect Critical Assessment of Applying Digital Elevation Models in Environmental Hazard Mapping
Digital elevation models (DEMs) are essential tools in environmental science, particularly for
hazard assessments and landscape analyses. However, their application across multiple …
hazard assessments and landscape analyses. However, their application across multiple …
Soil erosion analysis based on UAV and SPOT-6 satellite images
N Kariminejad, A Ahmadi, MK Garajeh… - Advanced Tools for …, 2024 - Elsevier
The complexities of collapse pipes (CPs), mass movements (MMs), and gully heads (GHs)
have given rise to the use of high-resolution data, including SPOT and UAV images. This …
have given rise to the use of high-resolution data, including SPOT and UAV images. This …
Detection of Sinkholes and Landslides in a Semi-Arid Environment Using Deep-Learning Methods, UAV images, and Topographical Derivatives
N Kariminejad, A Mondini, M Hosseinalizadeh… - 2023 - researchsquare.com
Sinkholes and landslides occur when parts of a soil collapse mainly in more gentle or
steeper slopes respectively, both often triggered by intensive rainfall. These processes often …
steeper slopes respectively, both often triggered by intensive rainfall. These processes often …
UAV obstacle avoidance with PID control based on improved sparrow search algorithm
H Wang - … International Conference on Signal Processing and …, 2024 - spiedigitallibrary.org
Research on Unmanned Aerial Vehicle (UAV) path planning is crucial for enhancing
autonomous flight capabilities. Bioinspired heuristic algorithms have been proven to …
autonomous flight capabilities. Bioinspired heuristic algorithms have been proven to …