GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India by Senthilkumar Harithaa, Selvaraj Evany Nithya

“…A comprehensive database of past landslides was compiled using satellite imagery and surveying the study region. In total, 581 landslide locations were identified. …”
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Quantitative Attribution Analysis of the Spatial Differentiation of Gully Erosion in the Black Soil Region of Northeast China by Ranghu Wang, Nan Wang, Yingchao Fan, Huan Sun, Hanpei Fu, Jiuchun Yang

“…In this study, the simulation of gully erosion and its quantitative attribution analysis have been conducted in the Sancha River catchment in Northeast China, based on high-resolution satellite imagery mapping and the geodetector method. A total of 18 indicators in 6 categories, including topography, climate and weather, soil properties, lithology, land use, have been taken into consideration. …”
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Spatial analysis of plankton distribution in Northern Waters of Aceh: An indicator of marine environmental quality by Octavina Chitra, Maghfirah, Lacroix Geneviève, Suciati Nasah, Fajar Muhammad, Syufi Nurul Hidayatul, Haridhi Haekal Azief, Haditiar Yudi

“…Furthermore, to understand the spatial distribution of plankton, plankton abundance was correlated with spectral bands from satellite imagery. The study results indicate spatial variation in plankton abundance in NWA due to the physicochemical parameters of the seawater. …”
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The impact of temporary occupation and hostilities on the water conditions of the North Crimean and Kakhovka Main Canals by K. Borovyk, S. Gapon, I. Pyshnograiev

“…The study utilised satellite imagery from Landsat 8 OLI/TIRS L2 (2013-2015) and Sentinel-2 L1C (2016-2024). …”
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Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka by Pasindu Rodrigo, Charani Gunathilaka, Dulan Jayasekara, Dharshani Mahaulpatha

“…Vegetation maps for KNP were generated by applying multiple classification algorithms to Sentinel 2 multispectral satellite imagery. The maximum likelihood classification (MLC) model generated the most accurate and detailed vegetation map for KNP, which was verified with ground truth data (overall accuracy of 93%; Kappa, 87%). …”
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Spatiotemporal Distribution Characteristics of Mesoscale Convective Systems Producing Short-Duration Heavy Rainfall over the Tianshan Mountain Area by Jiangang Li, Lianmei Yang, Wen Liu, Cailian Jiang

“…Based on hourly precipitation data and FY-2 satellite infrared (IR) digital satellite imagery collected during the warm season from 2005 to 2015 in the Tianshan Mountains and the adjacent areas in Xinjiang, China, the definition of mesoscale convective systems (MCSs) was revised based on short-duration heavy precipitation processes. …”
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Accelerated River Meander Migration on the Tibetan Plateau Caused by Permafrost Thaw by Anmeng Sha, Dongfeng Li, Des Walling, Yi Zhao, Shang Tian, Dong Chen, Shanshan Deng, Junqiang Xia, Jim Best

“…Here, we leverage four decadal satellite imagery, hydrological observations, and permafrost modeling to investigate meander migration dynamics on the Tibetan Plateau. …”
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Monitoring of ecological environment changes in open-pit mines on the Loess Plateau from 1990 to 2023 based on RSEI by Xingbang Wang, Yanyun Nian, Haiyuan Wang, Jie Chen, Kegong Li, Tianming Hu, Zhiming Li

“…Employing the Remote Sensing Ecological Index (RSEI) derived from Landsat satellite imagery spanning 1990 to 2023, we conducted a comprehensive analysis utilizing the Sen + Mann-Kendall method. …”
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Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering Approach by Fajar Yulianto, Gatot Nugroho, Galdita Aruba Chulafak, Suwarsono Suwarsono

“…Three digital classification approaches, namely, maximum likelihood (ML), random forest (RF), and the support vector machine (SVM), were applied to test the improvement in the accuracy of LULC postclassification using the MaSegFil approach, based on annual cloud-free Landsat 8 satellite imagery data from 2019. The results of the accuracy assessment for the ML, RF, and SVM classifications before implementing the MaSegFil approach were 73.6%, 77.7%, and 77.5%, respectively. …”
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Web GIS Based Benthic Habitat Mapping Update Supports Smart Island Lemukutan by Zan Zibar, Robin Saputra, Adityo Raynaldo, Supriyatno Supriyatno

“…In the last decade, object-based image analysis (OBIA) has been accepted as an effective method for extracting and classifying information from high spatial resolution satellite imagery. Our study's goal is to use WebGIS to combine coral reef monitoring data from Lemukutan Island and find out how much coral cover there is on the island using the smart island WebGIS. …”
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Carbon Sink Estimation of Mangrove Vegetation Using Remote Sensing in Segara Anakan, Cilacap by Zahra Safira Aulia, Rizqi Rizaldi Hidayat, Amron Amron

“…In this study, data from Sentinel 2A satellite imagery was processed and validated with field survey results. …”
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Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

“…The learning-based integration of optical and synthetic aperture radar (SAR) satellite imagery is known to be effective in promoting the accuracy of wetland land-cover classification. …”
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The Effect of Spatial Scale on the Prediction of Tropical Forest Attributes from Image Texture by J. Alberto Gallardo-Cruz, Jonathan V. Solórzano, Edgar J. González, Jorge A. Meave

“…The availability of high-resolution satellite imagery has boosted the modelling of tropical forest attributes based on texture metrics derived from grey-level co-occurrence matrices (GLCMs). …”
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An Integrated Use of Topography with RSI in Gully Mapping, Shandong Peninsula, China by Fuhong He, Tao Wang, Lijuan Gu, Tao Li, Weiguo Jiang, Hongbo Shao

“…Taking the Quickbird optical satellite imagery of the small watershed of Beiyanzigou valley of Qixia city, Shandong province, as the study data, we proposed a new method by using a fused image of topography with remote sensing imagery (RSI) to achieve a high precision interpretation of gully edge lines. …”
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The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change by Nik Ojdanič, Alenka Gaberščik, Igor Zelnik, Aleksandra Golob

“…At Lake Cerknica, long-term data on water levels and temperatures, combined with four decades of Landsat satellite imagery, allowed for a comprehensive analysis of reed stand dynamics of three different reed stands using the modified soil adjusted vegetation index (MSAVI2) and an index differentiating technique. …”
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Conflits armés et environnement by Al–Hamandou Dorsouma, Michel-André Bouchard

“…A number of evaluation and measuring techniques, such as diachronic satellite imagery analysis, field surveys, and other methods can then be used to measure the impacts as part of a standard Environmental and Social Impact Study. …”
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Evaluation of Object-Based and Pixel-Based Technique for Extracting Snow Cover Surface Using Landsat 8 Satellite Images (Case Study Damavand Mountain Range) by Behnam Sedaghat, Ali Javadzade khiavi, Babak Naeim, Erfan Khajavi, Amir Reza Taghavi Khanghah

“…This study aimed to assess the effectiveness of object-oriented and pixel-based techniques in extracting snow cover using Landsat8 satellite imagery. The pixel-based method relies on classifying numerical values of images, while the novel object-oriented approach takes into account not only numerical images but also background information, texture, and content for classification. …”
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Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Loghman Fathollahi, Gongliu Yang

“…Deep learning models leveraging multispectral satellite imagery, like Sentinel-2, provide valuable solutions. …”
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Wind Speed-Independent Two-Source Energy Balance Model Based on a Theoretical Trapezoidal Relationship between Land Surface Temperature and Fractional Vegetation Cover for Evapotra... by Xiao-Gang Wang, Qing Kang, Xiao-Hong Chen, Wen Wang, Qing-Hua Fu

“…An accurate estimation of terrestrial evapotranspiration over heterogeneous surfaces using satellite imagery and few meteorological observations remains a challenging task. …”
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INterpolated FLOod Surface (INFLOS), a Rapid and Operational Tool to Estimate Flood Depths from Earth Observation Data for Emergency Management by Quentin Poterek, Alessandro Caretto, Rémi Braun, Stephen Clandillon, Claire Huber, Pietro Ceccato

“…INFLOS calculates flood depth by interpolating water surface elevation from sample points along flooded area boundaries, derived from satellite imagery. This tool is capable of delivering flood depth estimates in a rapid mapping context, leveraging a multistep interpolation and filtering process for improved accuracy. …”
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