Results 101 to 110 of about 133,736 (373)

Hack Weeks as a model for Data Science Education and Collaboration

, 2017
Across almost all scientific disciplines, the instruments that record our experimental data and the methods required for storage and data analysis are rapidly increasing in complexity.
Arendt, Anthony, Hogg, David W., Huppenkothen, Daniela, Ram, Karthik, Rokem, Ariel, VanderPlas, Jake   +5 more
core   +1 more source

geemap: A Python package for interactive mapping with Google Earth Engine

Journal of Open Source Software, 2020
geemap is a Python package for interactive mapping with Google Earth Engine (GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets (e.g., Landsat, Sentinel, MODIS, NAIP) (Gorelick et al ...
Qiusheng Wu
semanticscholar   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

Advanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu, Zhaoqi Ma, Yunong Li, Junichiro Sugihara, Yicheng Chen, Jinjie Li, Moju Zhao   +6 more
wiley   +1 more source

Analisis Perubahan Tutupan Lahan Menggunakan Algoritma CART untuk Evaluasi Kesesuaian Lahan Terhadap RTRW Kabupaten Tangerang

Rekayasa Hijau: Jurnal Teknologi Ramah Lingkungan
ABSTRAK Kabupaten Tangerang mengalami pertumbuhan penduduk pesat yang mendorong perubahan tutupan lahan. Rencana Tata Ruang Wilayah (RTRW) 2020 digunakan sebagai panduan pemanfaatan lahan, dengan klasifikasi utama: lahan terbangun, badan air, vegetasi ...
Gheo Damai Ramadhan, Hary Nugroho
doaj   +1 more source

Physics the google way

, 2004
Are we smarter now than Socrates was in his time? Society as a whole certainly enjoys a higher degree of education, but humans as a species probably don't get intrinsically smarter with time.
Ward, David W.
core   +1 more source

IDENTIFIKACIJA POLJOPRIVREDNIH PARCELA UPOTREBOM GOOGLE EARTH ENGINE

Zbornik radova Fakulteta tehničkih nauka u Novom Sadu, 2020
This paper examines the usability of the Google Earth Engine platform in remote sensing through satellite imagery analysi. Using satellite images from the Setntile-1 and Sentinel-2 platforms, agricultural parcels were identified.
openaire   +2 more sources

Degeneracy Sensing Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping with Dual‐Layer Resistant Odometry and Scan‐Context Loop‐Closure Detection Backend in Diverse Environments

Advanced Intelligent Systems, EarlyView.
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang, Liye Zhao, Xukai Ding, Wenjun Li, Kehao Qi   +4 more
wiley   +1 more source

Development of a Google Earth Engine-Based Application for the Management of Shallow Coral Reefs Using Drone Imagery [PDF]

, 2023
Paula A. Zapata-Ramírez, Hernando Hernández-Hamón, Clare Fitzsimmons, Marcela Cano, J. M. Pajares García, Carlos A. Zuluaga, Rafael E. Vásquez   +6 more
openalex   +1 more source

Cropland and Crop Type Classification with Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine for Agricultural Monitoring in Ethiopia

Remote Sensing
Cropland monitoring is important for ensuring food security in the context of global climate change and population growth. Freely available satellite data allow for the monitoring of large areas, while cloud-processing platforms enable a wide user ...
C. Eisfelder, B. Boemke, U. Gessner, Patrick Sogno, Genanaw Alemu, Rahel Hailu, Christian Mesmer, Juliane Huth   +7 more
semanticscholar   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source