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Categorisation by Leveraging CNNs and Remote Sensing Satellite Imagery for Crop Analysis in Arid Environments
The classification of walnuts in the dry areas of Ganquan Township, Awati County, **njiang, is investigated in this research using traditional...
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Analyzing effects of environmental indices on satellite remote sensing land surface temperature using spatial regression models
Land Surface Temperature (LST) is a vital satellite remote sensing-driven indicator of earth heat studies. LST can provide information about urban...
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Remote Sensing
The chapter introduces basic concepts of remote sensing. Major remote sensors are reviewed by radiometric spectrum and by work mode. One focus of the...
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Remote Sensing of Turbidity in Optically Shallow Waters Using Sentinel-2 MSI and PRISMA Satellite Data
This study aims to improve the retrieval and map** of turbidity in optically shallow waters using satellite data by detecting then masking...
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Harnessing Remote Sensing and Geographic Information Systems to Address Soil Degradation and Water Scarcity in Climate Change Era
Soil deterioration and water shortages threaten sustainable development in the climate change era, requiring new solutions. Remote sensing and GIS...
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An integrated cyberGIS and machine learning framework for fine-scale prediction of Urban Heat Island using satellite remote sensing and urban sensor network data
Due to climate change and rapid urbanization, Urban Heat Island (UHI), featuring significantly higher temperature in metropolitan areas than...
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A critical analysis of road network extraction using remote sensing images with deep learning
The Extraction of Roads from Remote Sensing Imagery is a rapidly develo** field that has significant impacts on both the economic and social...
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Mineralogical Map** Using Remote Sensing and Geophysical Data in IMITER Anti-Atlas of Morocco
IMITER is an area in Morocco which is considered to be the most important zone for silver exploration. It is characterized by two units: an upper...
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GIS and Remote Sensing Application for Vegetation Map**
Map** vegetation using remotely sensed images involves considering various factors, procedures, and strategies. The accessibility of remote sensing...
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Integrated remote sensing data and machine learning for drought prediction in Eastern Saudi Arabia
Drought has become more common problem and more severe that widespread over the world in recent decades, increasing their negative effects on the...
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Assessment of Sedimentation in Kaliasote Reservoir, Bhopal, Using Satellite Remote Sensing Techniques
Sedimentation is the most unpreferable phenomenon for reservoirs. It originates due to soil erosion through heavy precipitation and winds. Eroded...
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Statistical Downscaling of Remote Sensing Precipitation Estimates Using MODIS Cloud Properties Data over Northeastern Greece
The aim of this study is to spatially downscale the daily precipitation data from the Global Precipitation Measurement (GPM) mission, using the...
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Remote Sensing in Precision Agriculture: Current Status and Applications
Farmers all around the world are always looking for ways to increase their profits. Using cutting-edge technology helps farmers increase the size of...
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From pixels to patterns: review of remote sensing techniques for map** shifting cultivation systems
Shifting agriculture is a complex system requiring organized categorization and measurement due to its widespread practice in tropics and impact on...
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A review of agricultural drought assessment with remote sensing data: methods, issues, challenges and opportunities
Drought is a frequent hydrometeorological phenomenon that affects every individual, including animals. It causes significant economic and human...
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Remote Sensing and Digital Image Processing
Obtaining information with the help of remote sensing systems deployed on aircraft, on satellites and increasingly also on drones (UAVs, unmanned...
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Exploring the Potential of Thermal Remote Sensing for Marine Freshwater Springs Identification in the United Arab Emirates
The initial objective of this research is to understand if thermal remote sensing is a viable source to detect or identify submarine freshwater in...
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Ensemble Deep Learning Approach for Turbidity Prediction of Dooskal Lake Using Remote Sensing Data
The summer season in India is marked by a severe shortage of water, which poses significant challenges for daily usage and agricultural practices....
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Cost–benefit analysis of remote sensing data types for map** mosquito breeding sites
Environmentally friendly biological mosquito control by Bacillus thuringiensis var. israelensis formulations needs appropriate breeding maps. The...
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Harnessing essential biodiversity variables and remote sensing of earth observations - synthesizing biodiversity insights
There are major gaps remaining in understanding of species distribution and how relationships between biodiversity, environment and scales change...
