Results 31 to 40 of about 22,166 (333)

Google Earth Engine workshop material

, 2020
This repository contains the manual and JavaScript code for my Google Earth Engine workshop. The exercises are meant to give you an idea of the capabilities of Google Earth Engine.
Philip Kraaijenbrink
core   +1 more source

A detailed mangrove map of China for 2019 derived from Sentinel‐1 and ‐2 images and Google Earth images

Geoscience Data Journal, 2022
Mangroves straddle terrestrial and marine ecosystems, thus are relevant to many United Nations Sustainable Development Goals (SDG), especially to SDG‐13 and SDG‐14, as they are linked to blue carbon strategies and fisheries. To better achieve SDGs, China
Chuan‐Peng Zhao, Cheng‐Zhi Qin
doaj   +1 more source

PENENTUAN KESESUAIAN LOKASI MARIKULTUR IKAN KERAPU DI SUMATERA UTARA, INDONESIA MENGGUNAKAN GOOGLE EARTH ENGINE

JFMR-Journal of Fisheries and Marine Research, 2021
Provinsi Sumatera Utara di Indonesia tercatat telah memproduksi komoditas ekspor yang sangat tinggi untuk Ikan Kerapu. Hal ini harus dipertahankan sebagai upaya menjaga keberlangsungan ekonomi perikanan.
Seftiawan Samsu Rijal, Gerardus David Ady Purnama Bayuaji   +1 more
doaj   +1 more source

rtculberg/GEEImageProcessing: Google Earth Engine Image Processing

, 2022
This repository contains scripts for creating Normalized Difference Water Index (NDWI) and NDWI time series over a defined region from Landsat 7 or 8 imagery in Google Earth ...
rtculberg
core   +1 more source

Agricultural SandboxNL: A national-scale database of parcel-level processed Sentinel-1 SAR data

Scientific Data, 2022
Measurement(s) parcel-level backscatter • cross-ratio Technology Type(s) SAR remote sensing • Sentinel-1 • Google Earth Engine Sample Characteristic - Location The ...
Vineet Kumar, Manuel Huber, Björn Rommen, Susan C. Steele-Dunne   +3 more
doaj   +1 more source

Google Earth Engine API alapú webalkalmazás

, 2023
Szakdolgozatomban bemutatom a Google Earth Engine API működését és annak használatát. Ezen felül bemutatom a Google Earth Engine API-nak a hasznosságát a térinformatika terén.
Kadarkuti, Róbert
core  

Rapid multispectral data sampling using Google Earth Engine [PDF]

Computers & Geosciences, 2020
Abstract The advent of cloud-based GIS tools has enabled the rapid exploration and processing of geospatial datasets. The Google Earth Engine (GEE) platform provides a library of algorithms and a powerful application programming interface (API) to produce flexible cloud-based applications that leverage Google’s computing infrastructure for geospatial
Sam A. S. Brooke, Mitch D'Arcy, Philippa Jane Mason, Alexander C. Whittaker   +3 more
openaire   +3 more sources

Visualisation des changements sur séries temporelles radar : méthode REACTIV évaluée à l'échelle mondiale sous Google Earth Engine

Revue Française de Photogrammétrie et de Télédétection, 2018
Cet article présente une méthode de visualisation d'une pile temporelle d'images SAR, appelée REACTIV, qui permet de faire ressortir en couleur les zones ayant subi des changements sur la période de temps observée.
Elise KOENIGUER, Jean-Marie Nicolas, Béatrice Pinel-Puyssegur, Jean-Michel Lagrange, Fabrice Janez   +4 more
doaj   +1 more source

Implementation of the NHI (Normalized Hot Spot Indices) Algorithm on Infrared ASTER Data: Results and Future Perspectives

Sensors, 2021
The Normalized Hotspot Indices (NHI) tool is a Google Earth Engine (GEE)-App developed to investigate and map worldwide volcanic thermal anomalies in daylight conditions, using shortwave infrared (SWIR) and near infrared (NIR) data from the Multispectral
Giuseppe Mazzeo, Micheal S. Ramsey, Francesco Marchese, Nicola Genzano, Nicola Pergola   +4 more
doaj   +1 more source

Google Earth Engine code

, 2019
Google Earth Engine used to compute the NDVI statistics added to Globe-LFMC. The input of the program is a point shapefile (“samplePlotsShapefile”, extensions .cpg, .dbf, .prj, .shp, .shx) representing the location of each Globe-LFMC site. This shapefile
Grazia Pellizzaro (6790472), Glenn Newnham (6790478), Carlos M. Di Bella (6790502), Yi Qi (181890), Maria Pilar Martin (6790517), Maria Eugenia Beget (6790496), Florent Mouillot (3274107), Greg Forsyth (6790505), Emilio Chuvieco (6790475), Marta Yebra (6790487), Phil Dennison (6020063), Mark Danson (6790499), Momadou Sow (6790529), Rachael H. Nolan (6790520), Abdulbaset Badi (6790493), Tineke Kraaij (452850), Matt Jolly (6790484), Gianluca Scortechini (6790490), Matthias M Boer (6790466), David Riano (6790526), Ross R.A.B. Bradstock (6790469), Víctor Resco de Dios (4509502), Mariano Garcia (6790511), Dar Roberts (4413511), Binbin He (2873525), Philip Frost (6790508), Xingwen Quan (6790523), Abdelaziz Hamdi (6790514), L Ustin (6790481)   +28 more
core   +1 more source