Results 81 to 90 of about 133,736 (373)

Detection of agricultural fires in the state of Acre with GEE and QGIS

Biodiversidade Brasileira, 2020
Herein we aimed to test four supervised classifiers to map forest scars caused by agricultural burning activities, and also evaluate time-quality ratio accuracy.
Francisco Salatiel Clemente de Souza, Sonaira Souza da Silva, Liana Andreson, Philip Fearnside, Marcus Liesenfeld, Igor Oliveira, Thiago Morello, Adriele Karlokoski, Tiago Lucena da Silva, Marllus Rafael Almeida, Luiz Aragão, Foster Brown, Jessica Costa, Antonio Willian Melo, Paulo Maurício Graça, Paulo Monteiro Brando, Ane Alencar   +16 more
doaj   +3 more sources

Comparing the Water Storage Changes in Iran and Its Six Neighboring Countries with Gravity Recovery and Climate Experiment Satellite Data on Google Earth Engine

Environmental Sciences Proceedings, 2023
Water plays a vital role in sustaining life and meeting the water needs of various sectors, such as agriculture, industries, and households. As water resources continue to be depleted, several hazards arise for communities.
Sahand Tahermanesh, Behnam Asghari Beirami, Mehdi Mokhtarzade   +2 more
doaj   +1 more source

Far Field Deposition Of Scoured Regolith Resulting From Lunar Landings [PDF]

, 2012
As a lunar lander approaches a dusty surface, the plume from the descent engine impinges on the ground, entraining loose regolith into a high velocity dust spray.
Goldstein, D. B., Morris, A. B., Trafton, L. M., Varghese, P. L.   +3 more
core   +1 more source

Modeling of land use and land cover changes using google earth engine and machine learning approach: implications for landscape management

Environmental Systems Research
A precise and up-to-date Land Use and Land Cover (LULC) valuation serves as the fundamental basis for efficient land management. Google Earth Engine (GEE), with its numerous machine learning algorithms, is now the most advanced open-source global ...
Weynshet Tesfaye, Eyasu Elias, B. Warkineh, Meron Tekalign, Gebeyehu Abebe   +4 more
semanticscholar   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Pemetaan Perubahan Lahan Sawah Kabupaten Sukabumi Menggunakan Google Earth Engine

Tataloka, 2022
Google Earth Engine (GEE) merupakan layanan pemrosesan geospasial yang telah banyak digunakan di berbagai bidang pemetaan. Tujuan penelitian ini adalah  identifikasi perubahan lahan sawah Kabupaten Sukabumi menggunakan GEE.
Widia Siska, Widiatmaka Widiatmaka, Yudi Setiawan, Setyono Hari Adi   +3 more
doaj   +1 more source

Extending Yioop! With Geographical Location Local Search [PDF]

, 2012
It is often useful when doing an internet search to get results based on our current location. For example, we might want such results when we search on restaurants, car service center, or hospitals. Current open source search engines like those based on
Sinha, Vijaya
core   +1 more source

Assessment of forest fire severity and land surface temperature using Google Earth Engine: a case study of Gujarat State, India

Fire Ecology
Forest fires are a recurring issue in many parts of the world, including India. These fires can have various causes, including human activities (such as agricultural burning, campfires, or discarded cigarettes) and natural factors (such as lightning ...
Keval H. Jodhani, Haard Patel, Utsav Soni, Rishabh Patel, Bhairavi Valodara, Nitesh Gupta, Anant Patel, P. J. Omar   +7 more
semanticscholar   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Análisis espaciotemporal de la deforestación en el campus mutile (2005-2023) usando Google Earth Engine

Revista GICOS
Este estudio analiza la deforestación en el campus Mutile de la Universidad Técnica Luis Vargas Torres entre 2005 y 2023, utilizando imágenes satelitales procesadas con Google Earth Engine (GEE).
Diego Camilo Martínez Martínez, Raúl Alfonso Camacho Marín, Borys Armando Bautista Garnica, Israel Patricio Vega Macias   +3 more
doaj   +1 more source