Modeling vegetation density with remote sensing, normalized difference vegetation index and biodiversity plants in watershed area by R.Z. Ekaputri, T. Hidayat, H.K. Surtikanti, W. Surakusumah

“…Sentinel satellite imagery from 2021 is utilized due to its efficacy in monitoring environmental conditions and managing natural resources. …”
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Heterogeneous long-term changes in larch forest and shrubland cover in the Kolyma lowland are not captured by coarser-scale greening trends by Heather Kropp, Michael M Loranty, Howard Epstein, Gerald V Frost, Adam Koplik, Logan T Berner

“…Changes in shrub and tree cover can be difficult to characterize with limited in-situ observations and moderate/coarse resolution satellite imagery, thereby posing challenges in disentangling changes in vegetation growth from shifts in vegetation composition. …”
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Climate-Aware Machine Learning for Above-Ground Biomass Estimation by Aske Meineche

“…This study explores the role of data science, machine learning, and artificial intelligence in addressing environmental challenges, specifically focusing on the estimation of Above-Ground Biomass (AGBM) using satellite imagery. The research aims to compare the effectiveness of temporal and spatial modelling techniques in AGBM estimation and to assess the utility of the AI-Climate Alignment Framework proposed by Kaack et al. (2022) in guiding environmentally responsible model development. …”
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Postflight Data Processing Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications by Sri Charan Kakarla, Yiannis Ampatzidis

“… Remote sensing applications for agriculture often require periodically collected high-resolution data, which are difficult to obtain by manned flights or satellite imagery. This 6-page document provides guidance on the use of post-processing software to visualize data collected by unmanned aerial vehicles (UAVs) for agricultural applications. …”
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Postflight Data Processing Instructions on the Use of Unmanned Aerial Vehicles (UAVs) for Agricultural Applications by Sri Charan Kakarla, Yiannis Ampatzidis

“… Remote sensing applications for agriculture often require periodically collected high-resolution data, which are difficult to obtain by manned flights or satellite imagery. This 6-page document provides guidance on the use of post-processing software to visualize data collected by unmanned aerial vehicles (UAVs) for agricultural applications. …”
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Monitoring changes of forest height in California by Samuel Favrichon, Jake Lee, Yan Yang, Yan Yang, Ricardo Dalagnol, Ricardo Dalagnol, Fabien Wagner, Le Bienfaiteur Sagang, Le Bienfaiteur Sagang, Sassan Saatchi, Sassan Saatchi, Sassan Saatchi

“…The model, trained on data from 2019 to 2020, showed a similar accuracy when applied to satellite imagery acquired in 2021–2022 allowing a robust detection of changes caused by natural and man-made disturbances of forest. …”
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DINÁMICA DEL PAISAJE AGRARIO DE SAN PATRICIO DEL CHAÑAR (NEUQUÉN, ARGENTINA) A TRAVÉS DE IMÁGENES SATELITALES by Florencia G. Finessi, Damián Groch

“…The historical organization process that shaped the present urban patterns taking into account the social actors involved using satellite imagery analysis. Satellite information is used to analyse how agricultural elements of this landscape have changed in the past decade. …”
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Prediction of Winter Wheat Parameters with Planet SuperDove Imagery and Explainable Artificial Intelligence by Gabriele De Carolis, Vincenzo Giannico, Leonardo Costanza, Francesca Ardito, Anna Maria Stellacci, Afwa Thameur, Sergio Ruggieri, Sabina Tangaro, Marcello Mastrorilli, Nicola Sanitate, Simone Pietro Garofalo

“…This approach highlights the potential of integrating ML and high-resolution satellite imagery for the remote monitoring of wheat, which can support sustainable farming practices.…”
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A Hybrid Model for Soybean Yield Prediction Integrating Convolutional Neural Networks, Recurrent Neural Networks, and Graph Convolutional Networks by Vikram S. Ingole, Ujwala A. Kshirsagar, Vikash Singh, Manish Varun Yadav, Bipin Krishna, Roshan Kumar

“…While satellite imagery provides information on spatial data regarding crop health, weather data provides temporal insights, and the soil properties provide important fertility information. …”
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Synoptic analysis and satellite monitoring dust phenomenon in Kermanshah province in 1987-2010 (case study: wide spread dust in 17 and 18 June 2009) by kamal omidvar, nesa sepandar

“…Finally, through the processing of MODIS satellite imagery, with the application of the brightness temperature index, round detection and the dust was made and its territory expanded. …”
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On Targets by The Center for Land Use Interpretation CLUI

“…These, however, undoubtedly are, and they are out there for the world to see, through internet-based satellite imagery providers like Google Earth. Like framed photographs on the wall, they narrow our attention, and ask us to overlook everything else.…”
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Apports de l’imagerie satellite pour le suivi de l’impact des événements cycloniques à Madagascar by Thibault Catry, Christophe Révillion, Pascal Mouquet, Gwenaëlle Pennober

“…The results showed that satellite imagery is suitable for the quantification of hurricane-related floods over Madagascar territory. …”
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Astronomy and Feng Shui in Ming Urban Planning: A Satellite and Paleo-Magnetic Based Analysis by Norma Camilla Baratta, Giulio Magli

“…We construct a database which includes 238 towns—virtually all the cities founded or re-founded by the Ming dynasty—using tools based on satellite imagery to investigate orientations and relationships with natural features, and historical paleomagnetic models to investigate magnetic orientation. …”
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Evaluation of Sea Ice Motion Estimates from Enhanced Resolution Passive Microwave Brightness Temperatures by Walter N. Meier, J. Scott Stewart

“…Sea ice motion plays an important role in the seasonal and interannual evolution of the polar sea ice cover. Satellite imagery can be used to track the motion of sea ice via cross-correlation feature tracking algorithms. …”
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An Assessment of Land Use Land Cover Using Machine Learning Technique by V. Pushpalatha, H. N. Mahendra, A. M. Prasad, N. Sharmila, D. Mahesh Kumar, N. M. Basavaraju, G. S. Pavithra and S. Mallikarjunaswamy

“…The methodology involves the acquisition and preprocessing of multi-temporal satellite imagery to delineate and map the built-up areas at different time intervals. …”
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Multisensor Data and Cross-Validation Technique for Merging Temporal Images for the Agricultural Performance Monitoring System by Venkata Kanaka Srivani Maddala, K. Jayarajan, M. Braveen, Ranjan Walia, Patteti Krishna, Sivakumar Ponnusamy, Karthikeyan Kaliyaperumal

“…The development of this innovative framework was prompted by a scarcity of high-quality satellite imagery. This intelligent strategy is based on a new theoretical framework that employs the energy equation to improve crop yield predictions. …”
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Vulnerability assessment and zoning of developed and susceptible contaminated karstic (Case study: Ravenscar watershed) by asadolah hejazi, zahra heidari

“…The method of work is that after the necessary processing, using the OWA method and applying weights obtained through the ANP model, the zoning is done After designing the zoning map, using the satellite imagery of 2007 and2015, the development of human development areas in the developed karstic areas has been evaluated The results of this study indicate that most of the studied basin, especially in northern and western areas of the basin, are highly and relatively developed in the class, The calculation of the area of man-made areas suggests that in2007, about 2.6 km of occupied areas of man-made industrial zones have been occupied which, according to the growing population, increased to 3.8 km in2015, human-made areas have been extracted in developed artisanal areas…”
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Analysis of Land Use/Land Cover Changes Using Remote Sensing Data and GIS at an Urban Area, Tirupati, India by Praveen Kumar Mallupattu, Jayarama Reddy Sreenivasula Reddy

“…The comparison of LU/LC in 1976 and 2003 derived from toposheet and satellite imagery interpretation indicates that there is a significant increase in built-up area, open forest, plantation, and other lands. …”
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Lateral Change Detection of Ghezlozan River Channel from 1993 to 2013 by fariba Esfandiary Darabad, Masoud Rahimi, khodadad lotfy, ebadi elhameh

“…In this study, the detection of river side changes was carried out using satellite imagery of TM and OLI Landsat 5 and 8 in the period 1993 to 2013, during which an interval of 158 km from the Ghezelozan River, using the transect method evaluated. …”
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FASILITAS PENGOLAHAN SAMPAH DENGAN PENERAPAN TEKNOLOGI INSENERASI DI MAMMINASATA by Muhammad Zaldi Suradin, Burhanuddin Burhanuddin

“…The result of this report will be at the Tata-inspired landscape from the analysis of satellite imagery line pattern observation planning area which is then used as the pattern of the building site. …”
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