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Building Extraction of Kolkata Metropolitan Area Using Machine Learning and Earth Observation Datasets
Rural-to-urban migrationUrban migration and increasing population has created urban agglomeration, particularly in metropolitan cities. This...
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Visible and near-infrared spectroscopy with chemometrics are able to predict soil physical and chemical properties
PurposeComparing to conventional laboratory methods, visible–near-infrared reflectance (vis–NIR) spectroscopy is a more practical and cost-effective...
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Recognizing the groundwater related to chronic kidney disease of unknown etiology by humic-like organic matter
Chronic kidney disease of unknown etiology (CKDu) becomes a health concern in develo** countries. It is urgent to recognize CKDu-related...
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NMR spectroscopy of dissolved organic matter: a review
The presence of liquid water makes our planet habitable. Water in soils, sediments, lakes, rivers and the ocean forms the largest habitat for life on...
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Determining Changes in Mangrove Cover Using Remote Sensing with Landsat Images: a Review
Mangroves are ecosystems within the intertidal zone of tropical and subtropical coasts; they offer ecosystem services such as protection from coastal...
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Generation and classification of patch-based land use and land cover dataset in diverse Indian landscapes: a comparative study of machine learning and deep learning models
In the context of environmental and social applications, the analysis of land use and land cover (LULC) holds immense significance. The growing...
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Spatio-temporal modeling of lake’s ecosystem and dynamism in response to changing environment: a case study of L. Ol Bolossat in Kenya
Lakes’ ecosystems are vulnerable to environmental dynamisms prompted by natural processes and anthropogenic activities happening in catchment areas....
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Analysis of spatiotemporal patterns of atmospheric CO2 concentration in the Yellow River Basin over the past decade based on time-series remote sensing data
Understanding the spatial and temporal variations of CO 2 column concentration (CO 2 -CCs) is crucial for tackling climate change and promoting...
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Spatiotemporal forest health assessment for ecosystem management of Sariska National Park (India) under regional climatic inconstancies
Forest health is a complex, multi-component driver of ecosystems and must be scientifically monitored. Reversed areas with natural forest cover are...
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Analysis of land use and land cover changes and their impact on temperature using landsat satellite imageries
Urban growth and the changing scenario of Land Use and Land Cover (LULC) have been an increasing trend in both towns and cities. The higher rate of...
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Monthly rather than annual climate variation determines plant diversity change in four temperate grassland nature reserves
Plant diversity is changing in the world; climate variation at annual scale is believed to drive these changes; however, the effects of climate...
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Remote sensing for map** algal blooms in freshwater lakes: a review
A large number of freshwater lakes around the world show recurring harmful algal blooms, particularly cyanobacterial blooms, that affect public...
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Spatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India
The snowline exhibits significant seasonal shifts upward and downward, reflecting the ever-changing dynamics of the seasons and being influenced by...
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Earth Observations
To the soil conservationalist, remote sensing methodologies provide profuse and updated information about soil propertiesSoil properties, rock...
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Crop classification by using dual-pol SAR vegetation indices derived from Sentinel-1 SAR-C data
In the following study, an attempt is made for crop classification of rainy season through analyzing time-series Sentinel-1 SAR data of May 2020 to...
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Remote sensing-based drought severity modeling and map** using multiscale intelligence methods
Drought as a natural disaster is one of the human’s ecological, hydrological, agricultural, and economic concerns. In this study, multiscale...
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Geological Structural and Tectonic Features of the Chatkal-Kuramin Region According to Earth Remote Sensing Data
The article presents the results of geological research based on remote sensing of the Earth and interpretations of modern data of space surveys of...
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A spatial functional count model for heterogeneity analysis in time
A spatial curve dynamical model framework is adopted for functional prediction of counts in a spatiotemporal log-Gaussian Cox process model. Our...
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Surface Soil Moisture Retrieval Using the Improved Water-Cloud Model Based on Sentinel-1A and Sentinel-2 Data
Surface soil moisture is an essential component of the ecosystem, an important factor in agricultural development, and a primary environmental factor...
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Optimization of land cover map** through improvements in Sentinel-1 and Sentinel-2 image dimensionality and data mining feature selection for hydrological modeling
The characterization of land cover in a watershed has a remarkable influence on the water balance and, is a key factor in assessing complex...
