Results 1 to 10 of about 14,070 (221)

Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series [PDF]

Remote Sensing, 2020
Land Surface Temperature (LST) is increasingly important for various studies assessing land surface conditions, e.g., studies of urban climate, evapotranspiration, and vegetation stress.
Sofia L. Ermida, Patrícia Soares, Vasco Mantas, Frank-M. Göttsche, Isabel F. Trigo   +4 more
doaj   +5 more sources

Deteksi Alih Fungsi Lahan Padi Sawah Menggunakan Sentinel-2 dan Google Earth Engine di Kota Serang, Provinsi Banten [PDF]

Jurnal Ilmu Pertanian Indonesia, 2022
Land is one of the main factors in rice production. However, the transfer of agricultural land functions to other sectors continues and becomes a challenge in the food supply in Indonesia.
Tian Mulyaqin, Kardiyono Kardiyono, Ismatul Hidayah, Fadhlullah Ramadhani, Muchamad Yusron   +4 more
doaj   +3 more sources

TSS Analysis (Total Suspended Soil) Using GEE (Google Earth Engine) Cloud Technology in Belawan Waters

Journal of Applied Geospatial Information, 2022
The TSS research using GEE Cloud Technology in Belawan Waters was carried out from January to May 2021. The analysis was carried out using the Sentinel-2 Satellite. TSS results obtained that the amount is 0,011010879-53,74369064 mg/liter.
Mardame Pangihutan Sinaga, Jono Barita Sianipar, Ady Frenly Simanullang, Goldberd Harmuda Duva Sinaga, Ewin Handoco S, Welmar Olfan Basten Barat   +5 more
doaj   +2 more sources

TSS (Total Suspended Soil) Analysis Using GEE (Google Earth Engine) Cloud Technology In Sibolga Waters

Journal of Applied Geospatial Information, 2023
The TSS research using GEE Cloud Technology in Sibolga Waters was carried out from February to April 2021, Mey to July 2021, August to October 2021, and October to December 2021. The analysis was carried out using the Sentinel-2 Satellite.
Mardame Pangihutan Sinaga, Jono Barita Sianipar, Ady Frenly Simanullang, Goldberd Harmuda Duva Sinaga, Mila Susanty Sianipar   +4 more
doaj   +2 more sources

A review of AI-driven Google Earth Engine applications in surface water monitoring, assessment, and management [PDF]

Discover Geoscience
Geospatial technologies now allow routine observation of lakes and wetlands across large areas, but turning those observations into timely, actionable insight still requires scalable computing. Google Earth Engine (GEE) provides a web-based platform that
Jahangeer Jahangeer, Pranjay Joshi, Aditya Kapoor, Zhenghong Tang   +3 more
doaj   +2 more sources

Palaeo-landscape feature identification: a FOSS cloud- based Python approach through Google Earth Engine (GEE)

Groma
Landscapes are the result of complex long-term interactions between natural and cultural forces, hence requiring techniques that enhance past landscape mapping and sustainable development perspectives.
Guillem Domingo-Ribas, Filippo Brandolini   +1 more
doaj   +2 more sources

Using of Google Earth Engine in monitoring systems [PDF]

E3S Web of Conferences, 2021
Google Earth Engine (GEE) cloud service is a powerful tool for environmental research. An example of using GEE to solve a typical research problem is shown.
Fedotova Elena, Gosteva Anna
doaj   +1 more source

Soil erosion estimation and risk assessment based on RUSLE in Google Earth Engine (GEE) in Turkiye

Annals of GIS
Soil erosion is a critical challenge threatening agricultural productivity and environmental sustainability globally. This study presents the first estimation of water-induced soil loss in Ordu province, Turkey, using the Revised Universal Soil Loss ...
Endalamaw Dessie Alebachew, Wudu Abiye, Orhan Dengiz, İnci Demirağ Turan   +3 more
doaj   +2 more sources

GEE TIMESERIES EXPLORER FOR QGIS – INSTANT ACCESS TO PETABYTES OF EARTH OBSERVATION DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
Earth observation analysis workflows commonly require mass processing of time series data, with data volumes easily exceeding terabyte magnitude, even for relatively small areas of interest.
P. Rufin, P. Rufin, A. Rabe, L. Nill, P. Hostert, P. Hostert   +5 more
doaj   +1 more source

Pemetaan Perubahan Penutup Lahan Di Sub-DAS Kreo Menggunakan Machine Learning Pada Google Earth Engine

Jurnal Sumberdaya Alam dan Lingkungan, 2021
ABSTRAK Informasi penutup lahan merupakan data yang sangat penting dalam pengelolaan Daerah Aliran Sungai (DAS). Tantangan dalam penyediaan informasi penutup lahan di DAS Kreo adalah tutupan awan dan cangkupan areanya yang cukup luas.
Trida Ridho Fariz, Fitri Daeni, Habil Sultan   +2 more
doaj   +1 more source