Environmental energy harvesting boosts self-powered sensing
Self-powered sensing technology has extremely important application value in many areas,
like healthcare, meteorology, internet of things (IoT) and so on. The progress of energy …
like healthcare, meteorology, internet of things (IoT) and so on. The progress of energy …
Regional Remote Sensing of Lake Water Transparency Based on Google Earth Engine: Performance of Empirical Algorithm and Machine Learning
W Zeng, K Xu, S Cheng, L Zhao, K Yang - Applied Sciences, 2023 - mdpi.com
Secchi depth (SD) is a valuable and feasible water quality indicator of lake eutrophication.
The establishment of an automated system with efficient image processing and an algorithm …
The establishment of an automated system with efficient image processing and an algorithm …
A Stepwise Framework for Fine-Scale Mining Area Types Recognition in Large-Scale Scenes by GF-5 and GF-2 Images
D Dong, D Ming, L Xu, Q Qiao… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Quickly obtaining fine-scale mining area types information in large-scale scenes is
significant for dynamically detecting mineral resources. Currently, mining area types …
significant for dynamically detecting mineral resources. Currently, mining area types …
CLANET: a cross-linear attention network for semantic segmentation of urban scenes remote sensing images
C Chen, Y Qian, H Liu, G Yang - International Journal of Remote …, 2023 - Taylor & Francis
Semantic segmentation of high-resolution remote sensing images is important in land cover
classification, road extraction, building extraction, water extraction, etc. However, high …
classification, road extraction, building extraction, water extraction, etc. However, high …
Remote sensing for agricultural water management in Jordan
JT Al-Bakri, G D'urso, A Calera, E Abdalhaq… - Remote Sensing, 2022 - mdpi.com
This study shows how remote sensing methods are used to support and provide means for
improving agricultural water management (AWM) in Jordan through detailed mapping of …
improving agricultural water management (AWM) in Jordan through detailed mapping of …
Semantic Segmentation of Remote Sensing Images Depicting Environmental Hazards in High-Speed Rail Network Based on Large-Model Pre-Classification
Q Dong, X Chen, L Jiang, L Wang, J Chen, Y Zhao - Sensors, 2024 - mdpi.com
With the rapid development of China's railways, ensuring the safety of the operating
environment of high-speed railways faces daunting challenges. In response to safety …
environment of high-speed railways faces daunting challenges. In response to safety …
An advanced spatiotemporal fusion model for suspended particulate matter monitoring in an intermontane lake
Ebinur Lake is the largest brackish-water lake in Xinjiang, China. Strong winds constantly
have an impact on this shallow water body, causing high variability in turbidity of water …
have an impact on this shallow water body, causing high variability in turbidity of water …
[HTML][HTML] An accurate snow cover product for the Moroccan Atlas Mountains: Optimization of the MODIS NDSI index threshold and development of snow fraction …
In semi-arid Mediterranean areas, a significant proportion of the population living
downstream depends on water resources from snowmelt and precipitation as their main …
downstream depends on water resources from snowmelt and precipitation as their main …
[HTML][HTML] Sustainability Education in Geomatics Students: Nature of STEM Through Meteorology and Ecology of Fire
V Martínez-Martínez, J Ortiz-Revilla, A Brasca Merlin… - Sustainability, 2024 - mdpi.com
To address the urgent challenges of sustainability in our changing world, STEM education
must evolve to integrate a stronger focus on socioenvironmental dimensions. This study …
must evolve to integrate a stronger focus on socioenvironmental dimensions. This study …
Listening to stakeholders: Development of water quality indicators for transitional environments using satellite data
Transitional waters are increasingly threatened by anthropogenic pressures with water
quality being a key worldwide issue relevant to human consumption, food production …
quality being a key worldwide issue relevant to human consumption, food production …