Academic literature on the topic 'Google Engine Earth'
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Journal articles on the topic "Google Engine Earth"
Mutanga, Onisimo, and Lalit Kumar. "Google Earth Engine Applications." Remote Sensing 11, no. 5 (2019): 591. http://dx.doi.org/10.3390/rs11050591.
Full textVILLAVICENCIO, L. M. M., D. MENDES, L. M. B. ANDRADE, and F. F. MONTEIRO. "Google Earth Engine: Mapping Changes in the Vilcanota-Peru Mountain Range." Anuário do Instituto de Geociências - UFRJ 41, no. 3 (2018): 427–33. http://dx.doi.org/10.11137/2018_3_427_433.
Full textРахимов, Г., М. Б. Игемберлина, А. Ж. Жанибек та Ж. М. Батыршаева. "МОНИТОРИНГ ИЗМЕНЕНИЯ ПЛОЩАДИ ОЗЕРА БАЛХАШ С ПОМОЩЬЮ ГЕОПРОСТРАНСТВЕННОЙ ПЛАТФОРМЫ GOOGLE EARTH ENGINE". Горный журнал Казахстана, № 4(240) (2 травня 2025): 25–30. https://doi.org/10.48498/minmag.2025.240.4.008.
Full textZhao, Qiang, Le Yu, Xuecao Li, Dailiang Peng, Yongguang Zhang, and Peng Gong. "Progress and Trends in the Application of Google Earth and Google Earth Engine." Remote Sensing 13, no. 18 (2021): 3778. http://dx.doi.org/10.3390/rs13183778.
Full textStaletović, Aleksandar. "IDENTIFIKACIJA POLJOPRIVREDNIH PARCELA UPOTREBOM GOOGLE EARTH ENGINE." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 35, no. 02 (2020): 364–67. http://dx.doi.org/10.24867/06kg03staletovic.
Full textYancho, J. Maxwell M., Trevor Gareth Jones, Samir R. Gandhi, Colin Ferster, Alice Lin, and Leah Glass. "The Google Earth Engine Mangrove Mapping Methodology (GEEMMM)." Remote Sensing 12, no. 22 (2020): 3758. http://dx.doi.org/10.3390/rs12223758.
Full textGhaffarian, Saman, Ali Rezaie Farhadabad, and Norman Kerle. "Post-Disaster Recovery Monitoring with Google Earth Engine." Applied Sciences 10, no. 13 (2020): 4574. http://dx.doi.org/10.3390/app10134574.
Full textFedotova, Elena, and Anna Gosteva. "Using of Google Earth Engine in monitoring systems." E3S Web of Conferences 333 (2021): 01013. http://dx.doi.org/10.1051/e3sconf/202133301013.
Full textBrooke, Sam A. S., Mitch D’Arcy, Philippa J. Mason, and Alexander C. Whittaker. "Rapid multispectral data sampling using Google Earth Engine." Computers & Geosciences 135 (February 2020): 104366. http://dx.doi.org/10.1016/j.cageo.2019.104366.
Full textMateo-García, Gonzalo, Luis Gómez-Chova, Julia Amorós-López, Jordi Muñoz-Marí, and Gustau Camps-Valls. "Multitemporal Cloud Masking in the Google Earth Engine." Remote Sensing 10, no. 7 (2018): 1079. http://dx.doi.org/10.3390/rs10071079.
Full textDissertations / Theses on the topic "Google Engine Earth"
Vahidi, Mayamey Farzad. "Improving the water-extent monitoring of Swedish wetlands with open-source satellite data and Google Earth Engine." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.
Find full textFATTORE, CARMEN. "Verso un approccio multi-scala, multi-temporale e multi-sensore per il monitoraggio del Capitale Naturale nell’era dei Big Earth Data. Metodi, tecniche e sviluppi futuri per la valutazione del danno post-evento." Doctoral thesis, Università degli studi della Basilicata, 2022. http://hdl.handle.net/11563/158586.
Full textІльченко, Катерина Володимирівна. "Космічний моніторинг забудови території міста Києва". Thesis, Національний авіаційний університет, 2020. http://er.nau.edu.ua/handle/NAU/41605.
Full textGanem, Khalil Ali. "Classificação da cobertura do solo na Caatinga a partir de imagens do Landsat-8 e da ferramenta Google Earth Engine : uma comparação entre dados com e sem correção atmosférica." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/23501.
Full textSchirinzi, Mattia. "Action cam per la raccolta di verità a terra propedeutica all'identificazione di colture agricole attraverso immagini ottiche del satellite Sentinel-2." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22341/.
Full textMartino, Filippo. "Analisi multitemporale del dissesto da immagini satellitari Sentinel (provincia di Forlì-Cesena)." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Find full textSanchez, Luna Maria M. "MAPPING SMALL SCALE FARMING IN HETEROGENEOUS LANDSCAPES: A CASE STUDY OF SMALLHOLDER SHADE COFFEE AND PLASTIC AGRICULTURE FARMERS IN THE CHIAPAS HIGHLANDS." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1564228778095931.
Full textStromann, Oliver. "Feature Extraction and FeatureSelection for Object-based LandCover Classification : Optimisation of Support Vector Machines in aCloud Computing Environment." Thesis, KTH, Geoinformatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238727.
Full textAlthén, Bergman Felix, and Evelina Östblom. "GIS-based crisis communication : A platform for authorities to communicate with the public during wildfire." Thesis, KTH, Geoinformatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253072.
Full textGuo, Qi. "Bangladesh Shoreline Changes During the Last Four Decades Using Satellite Remote Sensing Data." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503258115717912.
Full textBooks on the topic "Google Engine Earth"
Cardille, Jeffrey A., Morgan A. Crowley, David Saah, and Nicholas E. Clinton, eds. Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-26588-4.
Full textGoogle Earth Engine Applications. MDPI, 2019. http://dx.doi.org/10.3390/books978-3-03897-885-5.
Full textIntroductory course to Google Earth Engine. FAO, 2022. http://dx.doi.org/10.4060/cb9049en.
Full textCardille, Jeffrey A., Morgan A. Crowley, David Saah, and Nicholas E. Clinton. Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications. Springer International Publishing AG, 2023.
Find full textCardille, Jeffrey A., Morgan A. Crowley, David Saah, and Nicholas E. Clinton. Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications. Springer International Publishing AG, 2023.
Find full textFarhan, Muhammad, Noor Zaman Jhanjhi, Muhammad Umer, Rana M. Amir Latif, Mamoona Humayun, and Syed Jawad Hussain. A Smart Agriculture Land Suitability Detection Model Using Machine Learning with Google Earth Engine. Eliva Press, 2020.
Find full textKurbucz, Marcell T., and Bo Pieter Johannes Andrée. Building and Managing Local Databases from Google Earth Engine with the geeLite R Package. Washington, DC: World Bank, 2025. https://doi.org/10.1596/1813-9450-11115.
Full textHorton, Zach. Ant and Empire: Myrmetic Writing, Simulation and the Problem of Reciprocal Becomings. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474422734.003.0006.
Full textBook chapters on the topic "Google Engine Earth"
Deines, Jillian M., Stefania Di Tommaso, Nicholas Clinton, and Noel Gorelick. "Scaling up in Earth Engine." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_29.
Full textAybar, Cesar, David Montero, Antony Barja, Fernando Herrera, Andrea Gonzales, and Wendy Espinoza. "Combining R and Earth Engine." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_31.
Full textGandhi, Ujaval. "JavaScript and the Earth Engine API." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_1.
Full textNekorchuk, Dawn. "Health Applications." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_37.
Full textWu, Qiusheng. "Sharing Work in Earth Engine: Basic UI and Apps." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_30.
Full textRamdani, Fatwa. "Integration of QGIS with Google Earth Engine (GEE)." In Exploring the Earth with QGIS. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46042-5_9.
Full textSrivastava, Anubhava, and Himanshu Sharma. "AI-Driven Environmental Monitoring Using Google Earth Engine." In Smart Sensors, Measurement and Instrumentation. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68602-3_19.
Full textEngelstad, Peder, Daniel Carver, and Nicholas E. Young. "Working with GPS and Weather Data." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_51.
Full textSzeto, Sabrina H. "Collaborating in Earth Engine with Scripts and Assets." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_28.
Full textVan Den Hoek, Jamon, and Hannah K. Friedrich. "Humanitarian Applications." In Cloud-Based Remote Sensing with Google Earth Engine. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26588-4_38.
Full textConference papers on the topic "Google Engine Earth"
Chakraborty, Rhydam, Rwitayan Das, Bappaditya Sarkar, and Anindita Das Bhattacharjee. "Study of Mangrove Forests Using Google Earth Engine." In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). IEEE, 2025. https://doi.org/10.1109/iementech65115.2025.10959483.
Full textChowdhury, Anuva, Surajit Ghosh, and Richa Sharma. "Earth Observation-based drought assessment of Odisha, India, using Google Earth Engine." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984083.
Full textDesai, Geeta T., and Abhay N. Gaikwad. "Crop Classification Using Sentinel1 Data and Google Earth Engine." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984384.
Full textGarima, Kalyan Acharjya, and Karthikeyan M. P. "Google Earth Engine for Remote Sensing Big Data: A Comprehensive Review." In 2024 1st International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI). IEEE, 2024. https://doi.org/10.1109/icscai61790.2024.10867007.
Full textMasood, Raziqa, Sheeba Praveen, and Anubhava Srivastava. "AI-driven Real-Time Monitoring of Earthquakes using Google Earth Engine." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882382.
Full textAlírio, João, Neftalí P. Sillero, Nuno Garcia, et al. "Montrends: a Google Earth Engine application for analysing species habitat suitability over time." In Earth Resources and Environmental Remote Sensing/GIS Applications XV, edited by Karsten Schulz, Konstantinos G. Nikolakopoulos, and Ulrich Michel. SPIE, 2024. http://dx.doi.org/10.1117/12.3030967.
Full textGaikwad, sandeep V., Amol D. Vibhute, Suraj V. Shah, Jatinderkumar R. Saini, and Karbhari V. Kale. "Vegetation health analysis of Vaijapur using Google Earth Engine and vegetation indices." In 2nd International Conference on Current Trends in Physics and Photonics (ICCTPP 2024), edited by Debabrata Saha and Aavishkar Katti. SPIE, 2024. http://dx.doi.org/10.1117/12.3044615.
Full textVaran, Andrei, Adriana Coroiu, and Liviu-Mihai Iacob. "Analyzing Deforestation Dynamics in Romania Using Random Forest Algorithm and Google Earth Engine." In 20th International Conference on Evaluation of Novel Approaches to Software Engineering. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013480400003928.
Full textPrasuna, Vempati Lakshmi, Tanimiki Sujith Kumar, and Puvvada Thanu Sree. "Shoreline and Land Cover Change Monitoring in Uppada Region with Google Earth Engine." In 2024 First International Conference for Women in Computing (InCoWoCo). IEEE, 2024. https://doi.org/10.1109/incowoco64194.2024.10863423.
Full textYang, Yun, Martha Anderson, Kyle Knipper, et al. "Decreased Latency in Landsat Derived Evapotranspiration Products Using Machine Learning on Google Earth Engine." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641995.
Full textReports on the topic "Google Engine Earth"
Johansen, Richard, Molly Reif, Christina Saltus, and Kaytee Pokrzywinski. A broadscale assessment of Sentinel-2 imagery and the Google Earth Engine for the nationwide mapping of chlorophyll a. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48784.
Full textKholoshyn, Ihor V., Olga V. Bondarenko, Olena V. Hanchuk, and Iryna M. Varfolomyeyeva. Cloud technologies as a tool of creating Earth Remote Sensing educational resources. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3885.
Full textDjamai, N., R. A. Fernandes, L. Sun, F. Canisius, and G. Hong. Python version of Simplified Level 2 Prototype Processor for retrieving canopy biophysical variables from Sentinel-2 multispectral data. Natural Resources Canada/CMSS/Information Management, 2024. http://dx.doi.org/10.4095/p8stuehwyc.
Full textEnhancing the MRC Land Use and Land Cover 2020 Mapping Products. Mekong River Commission Secretariat, 2023. http://dx.doi.org/10.52107/mrc.aqrsbr.
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