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Case Study of Mesoscale Convective System on August 7, 2021 Over the Center of the European Territory of Russia by Remote Sensing Data
The article provides an analysis of the case of a mesoscale convective system using remote sensing data of the atmosphere: radar, satellite,...
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Increasing trees and high-albedo surfaces decreases heat impacts and mortality in Los Angeles, CA
There is a pressing need for strategies to prevent the heat-health impacts of climate change. Cooling urban areas through adding trees and vegetation...
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A multi-layer perceptron–Markov chain based LULC change analysis and prediction using remote sensing data in Prayagraj district, India
Land use land cover (LULC) map** and temporal observations are indispensable drivers for sustainable development. This research showed the growth...
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Spatio-temporal drought assessment of the Subarnarekha River basin, India, using CHIRPS-derived hydrometeorological indices
Precipitation studies have a crucial role in deciphering climate change and monitoring natural disasters such as droughts. Such studies lead to...
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Map** of total suspended solids using Landsat imagery and machine learning
The main objective of this work is to propose a new technique for water quality parameters monitoring by applying artificial intelligence methods to...
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A comparative study of remote sensing classification methods for monitoring and assessing desert vegetation using a UAV-based multispectral sensor
Restoration programs require long-term monitoring and assessment of vegetation growth and productivity. Remote sensing technology is considered to be...
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Crop productivity estimation by integrating multisensor satellite, in situ, and eddy covariance data into efficiency-based model
Accurate and quantitative regional estimates of the carbon budget require an integration of eddy covariance (EC) flux-tower observations and remote...
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Geospatial Based Application for Dam Planning and Monitoring in Malaysia: A Review
Malaysia is well endowed with abundance of natural water resources, which has significantly contributed to the socio-economic development of the...
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Investigating net primary production in climate regions of Khuzestan Province, Iran using CASA model
This study aimed to investigate the vegetation production changes in Khuzestan province, Iran using MODIS data production, meteorological data,...
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The Impacts of Climate Change on Human Wellbeing in the Municipality of Porto—An Analysis Based on Remote Sensing
Climate Change and Global Warming are affecting the environment and consequently people’s lives and property due to an increase in the frequency and...
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Fingerprinting of rainfall over semi-arid region, Western India, using MATLAB and GIS
The present study investigates long-term changes in the rainfall regime over the Sabarmati River Basin, Western India, during 1981–2020 using...
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Predicting the effect of hydro-climatic and land-use dynamic variables on watershed health status
This study aimed to predict the impact of changing hydro-climatic variables and land use changes on the future health status of the Safaroud...
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Effect of landscape pattern changes and environmental indices on land surface temperature in a fragile ecosystem in southeastern Iran
Climate change and urbanization along with uncontrolled development in less developed countries have led to an increased ecosystems’ thermal...
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Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques
BackgroundOperational large-scale flood monitoring using publicly available satellite data is possible with the advent of Sentinel-1 microwave data,...
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Monitoring of Natural Resources Using Remote Sensing and GIS Technology Under Changing Climate Scenario
One of the major threats in the twenty-first century is the Earth’s climate change, which bestows conspicuous effects on natural resources and human...
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Fusion-based approach for hydrometeorological drought modeling: a regional investigation for Iran
The objective of this study was to model a new drought index called the Fusion-based Hydrological Meteorological Drought Index (FHMDI) to...
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Assessment of land use and land cover change detection and prediction using deep learning techniques for the southwestern coastal region, Goa, India
Understanding the connections between human activities and the natural environment depends heavily on information about land use and land cover...
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Joint modeling of drought and dust hazards using copula- based model over Iran from 1988 to 2018
This study aims to employ joint modeling for drought and dust hazards. Long-term monthly precipitation and temperature were used to calculate drought...
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UAV and satellite remote sensing for inland water quality assessments: a literature review
High spatial and temporal resolution data is crucial to comprehend the dynamics of water quality fully, support informed decision-making, and allow...
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Health variability based on SPI and estimating median and mean health indices in watersheds and townships of Kermanshah Province, Iran
The watershed health assessment provides a vital roadmap for managers to appropriately focus on hotspots and work on controlling factors threatening...
