Results 61 to 70 of about 133,736 (373)

First Experiences with Google Earth Engine

Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management, 2017
This paper presents the first experiences of the author with GEE (Google Earth Engine). A C++ image processing algorithm, still under development, was migrated to this new environment using GEE’s web interface and the JavaScript language. The idea is to discover the problems that might arise when migrating to this environment as well as to assess the ...
openaire   +1 more source

Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms

Remote Sensing, 2020
Google Earth Engine (GEE) is a versatile cloud platform in which pixel-based (PB) and object-oriented (OO) Land Use–Land Cover (LULC) classification approaches can be implemented, thanks to the availability of the many state-of-art functions comprising ...
Andrea Tassi, Marco Vizzari
semanticscholar   +1 more source

Genome‐Wide by Lifetime Environment Interaction Studies of Brain Imaging Phenotypes

Advanced Science, EarlyView.
This study explores genome‐wide by lifetime environment interactions on brain imaging phenotypes. Gene‐environment interactions explain more phenotypic variance than main effects, pinpoint regulatory variants, and reveal exposure‐specific biological pathways.
Sijia Wang, Meiyun Wang, Peng Zhang, Jingliang Cheng, Longjiang Zhang, Wenzhen Zhu, Shijun Qiu, Zuojun Geng, Guangbin Cui, Yongqiang Yu, Weihua Liao, Xi‐Nian Zuo, Hui Zhang, Bo Gao, Xiaojun Xu, Tong Han, Zhenwei Yao, Quan Zhang, Feng Liu, Qiang Xu, Jiayuan Xu, Jilian Fu, Nana Liu, Yuan Ji, Jie Tang, Lining Guo, Mengge Liu, Xiaoxiao Xiao, Xiaoxuan Liu, Wei Li, Caihong Wang, Wei Wei, Dapeng Shi, Su Lui, Zhihan Yan, Feng Chen, Jing Zhang, Wen Shen, Yanwei Miao, Dawei Wang, Jia‐Hong Gao, Yunjun Yang, Kai Xu, Junfang Xian, Bing Zhang, Xiaochu Zhang, Zhaoxiang Ye, Le Yu, Wen Qin, Meng Liang, Chunshui Yu, the CHIMGEN Consortium   +51 more
wiley   +1 more source

Glacier area changes in the Arctic and high latitudes using satellite remote sensing

Journal of Maps, 2023
Glaciers have been retreating over the last century as a result of climate change, particularly in the Arctic, causing sea levels to rise, affecting coastal communities and potentially changing global weather and climate patterns.
Asim Ali, Paul Dunlop, Sonya Coleman, Dermot Kerr, Robert W. McNabb, Riko Noormets   +5 more
doaj   +1 more source

Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine

Remote Sensing, 2021
Mangroves are among the most productive ecosystems in existence, with many ecological benefits. Therefore, generating accurate thematic maps from mangrove ecosystems is crucial for protecting, conserving, and reforestation planning for these valuable ...
A. Ghorbanian, Soheil Zaghian, R. M. Asiyabi, M. Amani, A. Mohammadzadeh, S. Jamali   +5 more
semanticscholar   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

ANÁLISE DE NDVI E TEMPERATURA DA SUPERFÍCIE TERRESTRE UTILIZANDO A PLATAFORMA DO GOOGLE EARTH ENGINE EM ÁREA DE SAVANA AMAZÔNICA E FLORESTA SECUNDÁRIA, NO MUNICÍPIO DE VIGIA – PA

Revista de Geociências do Nordeste, 2020
A Savana Amazônica é um ecossistema com carência de estudos científicos sobre os efeitos das mudanças de uso da terra e da temperatura da superfície terrestre.
Juliane da Costa Cavalcante, Crislayne Azevedo Almeida, Thiago Bandeira Castelo   +2 more
doaj   +1 more source

Klasifikasi Tutupan Lahan Menggunakan Google Earth Engine

Jurnal Swarnabhumi : Jurnal Geografi dan Pembelajaran Geografi, 2021
Land cover information is very important information to describe a phenomenon from various aspects that occur on the earth's surface. Land cover information can be obtained using remote sensing technology which can provide spatial information on the earth's surface quickly and precisely, one of the methods used is supervised classification.
openaire   +1 more source

How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

Advanced Science, EarlyView.
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen, Xiaoni Gao, Shuai Lu, Yi Zhang, Xing Zheng, Matthaios Santamouris   +5 more
wiley   +1 more source

FOUR YEARS OF UNMANNED AERIAL SYSTEM IMAGERY REVEALS VEGETATION CHANGE IN A SUB-ARCTIC MIRE DUE TO PERMAFROST THAW [PDF]

, 2018
Warming trends in sub-arctic regions have resulted in thawing of permafrost which in turn induces change in vegetation across peatlands both in areal extent and composition. Collapse of palsas (i.e.
DelGreco, Jessica
core   +1 more source