Results 51 to 60 of about 21,743 (232)

Time-series dataset on land surface temperature, vegetation, built up areas and other climatic factors in top 20 global cities (2000–2018)

Data in Brief, 2019
Time-series datasets of Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Normalized Difference Built Index (NDBI) and other climatic factors are of significance due to their application in tracking climate change in cities ...
Yashar Jamei, Priyadarsini Rajagopalan, Qian Chayn Sun   +2 more
doaj   +1 more source

Multilayer Data and Artificial Intelligence for the Delineation of Homogeneous Management Zones in Maize Cultivation

Remote Sensing, 2023
Variable rate application (VRA) is a crucial tool in precision agriculture, utilizing platforms such as Google Earth Engine (GEE) to access vast satellite image datasets and employ machine learning (ML) techniques for data processing.
Diego José Gallardo-Romero, Orly Enrique Apolo-Apolo, Jorge Martínez-Guanter, Manuel Pérez-Ruiz   +3 more
doaj   +1 more source

THE APPLICATION OF MACHINE LEARNING USING GOOGLE EARTH ENGINE FOR REMOTE SENSING ANALYSIS [PDF]

, 2022
The spatial dimensions and temporal resolutions of the change detection analyses have been limited by traditional methodologies (i.e., desktop computing, open source).
Habibie, Muhammad Iqbal
core   +2 more sources

Supporting better decisions across the nexus of water, energy and food through earth observation data:Case of the Zambezi basin [PDF]

, 2018
The water–energy–food (WEF) nexus has been promoted in recent years as an intersectional concept designed to improve planning and regulatory decision-making across the three sectors.
Gomo, Fortune Faith, Macleod, Christopher, Rowan, John, Topp, Kairsty, Yeluripati, Jagadeesh   +4 more
core   +5 more sources

Analyzing Carbon Monoxide Emissions and Urban Mobility Patterns Using Google Earth Engine; Case Study: Casablanca [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study examines the relationship between carbon monoxide (CO) emissions and urban mobility patterns in Casablanca, largest city and economic hub, using Google Earth Engine's (GEE) cloud-based geospatial processing capabilities (Gorelick et al., 2017).
H. El Alami El Kamouri, R. Essamoud, M. Hakdaoui   +2 more
doaj   +1 more source

IDENTIFYING CHANGES IN MANGROVE FOREST DISTRIBUTION IN LANGKAT REGENCY USING GOOGLE EARTH ENGINE

GeoEco
Mapping the distribution of mangrove forests is very important to determine the ecological changes, because mangroves protect biodiversity. Google Earth Engine (GEE) is a cloud-based platform that can analyse the distribution of mangrove forests in a ...
Rina Mawardah Batubara, M Taufik Rahmadi, Meilinda Suriani Harefa, Darwin Parlaungan Lubis, Sendi Permana, Rifqi Ulfatun Nikmah, Alvin Pratama   +6 more
doaj   +1 more source

A Google Earth Engine Algorithm to Map Phenological Metrics in Mountain Areas Worldwide with Landsat Collection and Sentinel-2

Geomatics, 2023
Google Earth Engine has deeply changed the way in which Earth observation data are processed, allowing the analysis of wide areas in a faster and more efficient way than ever before.
Tommaso Orusa, Annalisa Viani, Duke Cammareri, Enrico Borgogno Mondino   +3 more
doaj   +1 more source

A Review On Google Earth Engine: An Open Access Cloud Analysis Platform For Planetary Scale Satellite Data [PDF]

E3S Web of Conferences
The open source cloud computing platform Google Earth Engine (GEE) is utilized in remote sensing. GEE makes use of a significant collection of geospatial data sets and satellite pictures from different satellites, including Landsat, Sentinel, Modis, and ...
Sangeetham Rohini, Reddy S Narayana
doaj   +1 more source

Analysis of Vegetation Index in Ambon City Using Sentinel-2 Satellite Image Data with Normalized Difference Vegetation Index (NDVI) Method based on Google Earth Engine

Journal of Innovation Information Technology and Application, 2023
Rapid urban development and increasing human activities in the city can affect the decline in the Vegetation Index in Ambon City. The research aims to analyze the vegetation index using sentinel-2 satellite image data with the Normalized Difference ...
Heinrich Rakuasa, Daniel Anthoni Sihasale   +1 more
doaj   +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