DEGRADACIÓN DE TIERRAS Y TELEDETECCIÓN EN PLANICIES PRÓXIMAS A LA LOCALIDAD DE CENTENARIO, PROVINCIA DE NEUQUÉN by Luis Bertani, Oscar Peña

“…In addition to the information obtained during the field trips and the analysis of the background to this, the methodology involves the use of GIS Idrisi (Kilimanjaro version) for the digital processing of Landsat ETM satellite imagery provided by CONAE. The results were compared with information obtained from various field trips, and to recognize different matrices, patches and corridors, according to the methodology of Landscape Ecology.…”
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Spatial and temporal monitoring of drought hazards in Opak Watershed by Suhardono Sapta, Septiariva Iva Yenis, Wijayanti Sovia, Ibriza Naila Maulida, Suryawan I Wayan Koko

“…This study monitored drought conditions spatially and temporally using Sentinel-2 satellite imagery and rainfall data. The Standardized Precipitation Index (SPI) was employed for drought assessment based on rainfall, while the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) evaluated drought via satellite images. …”
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Drought Monitoring during Growth Rangeland Coverage, Ardabil Province by saideh eiyni, saeide eini

“…Landsat TM and OLI satellite imagery was also used to prepare landslide classification maps based on the maximum probability model and calculation of vegetation indices NDVI, EVI, SAVI and LAI. …”
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Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India by Sujit Kumar Jally, Rakesh Kumar and Sibabrata Das

“…The combined analysis of in-situ and satellite-derived trophic status indicates the eutrophic to hypereutrophic condition of the lake’s eastern and western parts. Satellite imagery spanning 2010-2019 consistently reveals a eutrophic state in the lake, with fluctuations in intensity over the period. …”
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Synoptic-Thermodynamic Investigation of the Dust Phenomenon in Isfahan Province (Case Study) by Leila Amini, Hosseinali Narimani, Mina Motamedi, Akram Parande Khozani

“…Also, due to the scale of these phenomena, companion maps do not help much and output of microscale models such as wrf, satellite imagery and if radar access is required…”
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The first geospatial dataset of irrigated fields (2020–2024) in Vojvodina (Serbia) by Mirjana Radulović, Miljana Marković, Sanja Brdar, Ioannis Athanasiadis, Gordan Mimić

“…This study’s goal is to give accessibility to our dataset which further can be explored and used for building or fine-tuning machine learning and deep learning models for the automatic detection of irrigated fields using satellite imagery.…”
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The Effect of Built-Up Area Density and Vegetation Density on Surface Temperature in Banjarmasin City by Sidharta Adyatma, Muhammad Muhaimin, Deasy Arisanty, Karunia Puji Hastuti

“…The surface temperature can be detected and analyzed using satellite imagery. The study aimed to analyze the built-up area and vegetation density index and their effect on changes in surface temperature in Banjarmasin City from 2015 to 2019. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…Texture analysis and classification are crucial in many applications such as medical applications, satellite imagery analysis, and so on. This paper presents a new technique that incorporates the LBP with the HOG to improve the texture analysis and classification. …”
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AeroRunway: Diverse Weather and Time of Day Aerial Dataset for Autonomous Landing Training by Ali Berkol, Nergis Pervan Akman, Nesil Bor

“…These synthetic images were collected mostly in variable weather conditions above 5000 feet to supplement existing satellite imagery that can be used for extreme situations. …”
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Evaluating territorial management of integrated development region (RIDE-DF) and its effect on land use land cover transformation by Eder Renato Merino, Daniel A. de Azevedo, Mathias Omar T. Alvarez, Allan da Silva Ramalho

“…This collection employs multi-temporal (1985–2022) Landsat satellite imagery classifications, ensuring accurate and current information. …”
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Inland Water Body Fraction Map for Canada and Adjacent Regions at 250-m Spatial Resolution by Shaheen Ghayourmanesh, Alexander P. Trishchenko, Calin Ungureanu

“…This dataset provides a more precise and up-to-date tool for medium-resolution studies of surface inland water in Canada, aligning closely with satellite imagery of similar spatial resolution. The dataset is freely available through the Government of Canada’s Open Government Portal.…”
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Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia by H. Oğuz Çoban, Miftahul Irsyadi Purnama

“…Utilizing Landsat satellite imagery and a combination of land cover classes from the Indonesian Ministry of Environment and Forestry (MoEF) with the machine learning-based Random Forest algorithm, we aimed to improve classification accuracy and model land cover transitions over time. …”
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Land use land cover change as a casual factor for climate variability and trends in the Bilate River Basin, Ethiopia. by Samuel Shibeshi Bikeko, Dr E Venkatesham

“…Utilizing multispectral satellite imagery from Landsat 5, 7, and 8, along with meteorological data from five stations, LULC was classified using the Random Forest algorithm on the Google Earth Engine platform. …”
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Urban Road Change Detection using Morphological Processing by Ei Phyu Sin Win

“…In addition to significant, benefits of Google Earth Pro, this research demonstrates the ability to make good use of satellite imagery and to integrate it with outside experts to save money, save time, and provide accurate answers. …”
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Evaluating the cooling potential of green open spaces in urban environments by Dwi Setyawan Ahmad, Suhardono Sapta, Indrawan Muhammad, Afzanaya Rarasti Khansa, Wijayanti Sovia

“…The aim was to measure the correlation between vegetation indices and land surface temperature (LST) to evaluate the influence of urban green spaces on the adjacent thermal environment. Using satellite imagery, various vegetation indices, including NDVI, SAVI, and EVI2, were calculated alongside LST assessments. …”
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Influência da acurácia de completude na delimitação de áreas de preservação permanente by Mayara Soares de Sousa, Tony Vinicius Moreira Sampaio

“…This paper used techniques of Remote Sensing, photointerpretation and GIS to identify and quantify the existing springs in the watersheds of the Forquilha and Mirim Rivers, located in the Southwest of Paraná, in addition to delimited the Permanent Preservation Areas of springs and riverbanks of first order, using satellite imagery made available by Google in QGIS software version 2.16, using Open Layers Plugin tool. …”
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Visualization of Snow Cover Changes in the Greater Caucasus Mountains Using Integrated Multi-Sensor Image Fusion by Imrani Zaur, Rasouli Aliakbar

“…Accordingly, accessible satellite imagery from the valid sites was obtained, and a few necessary pre-processing operations, such as atmospheric and radiometric corrections, were subjected to available Sentinel-2 and Landsat (8 and 9) images from 2017 to 2023, adjusted to annual, spring-summer months. …”
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Terrestrial glacial geomorphology of surge-type and non-surge-type glaciers on Svalbard by Rebecca McCerery, Bethan Joan Davies, Harold Lovell, David Anthony Pearce, Rosalia Calvo-Ryan, Jakub Małecki, John Woodward

“…Glacier forefields were mapped using a combination of field surveys and the use of an uncrewed airborne vehicle in September 2022 and satellite imagery captured in 2020, with mapping performed in ArcGIS Pro at a 1:5000 scale. …”
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Monitoring Damage and Air Pollutant Parameters after Forest Fire: A Case Study of Çanakkale Fire by Özer Akyüre

“…The aerosol index and nitrogen dioxide (NO2) air pollution parameters, which indicate the concentration of pollutants emitted into the atmosphere after the fire, were monitored and their concentrations determined from satellite imagery. The highest NO2 concentration recorded was 0.02624702 mol/m² on August 24, the last day of the fire. …”
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Glacial geomorphology of Newfoundland, Canada by Sophie L. Norris, Jennifer Organ, Arthur S. Dyke, Taryn Neligan, Cameron C. Stanton, Kelsey Strickland, John C. Gosse

“…The subglacial geomorphic signal of terrestrial and marine portions of this ice sheet has been mapped using aerial photography, satellite imagery, SRTM DEMs, multibeam bathymetric data and onshore field mapping over the last 50 years. …”
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