Results 91 to 100 of about 21,743 (232)

Integration of Sentinel-1 and Sentinel-2 data for Earth surface classification using Machine Learning algorithms implemented on Google Earth Engine

, 2023
In this study, Synthetic Aperture Radar (SAR) and optical data are both considered for Earth surface classification. Specifically, the integration of Sentinel-1 (S-1) and Sentinel-2 (S-2) data is carried out through supervised Machine Learning (ML ...
Iandolo, Mariapia Rita, Razzano, Francesca, Ullo, Silvia Liberata, Yogesh, G. S., Zarro, Chiara   +4 more
core  

Mapping Solar Energy Potential Based on Google Earth Engine (GEE) in West Sumatera Province

Syntax Literate ; Jurnal Ilmiah Indonesia
This study investigates the spatial distribution of solar energy potential in West Sumatera Province using Google Earth Engine (GEE) by integrating Himawari-8 and Sentinel-2 satellite data. The objectives are to identify regions with high solar irradiance and assess land use suitability for solar power plant development. Solar radiation models—DHI, DNI,
Fahrezy Maulana Haz, Fajrin Fajrin, Dwi Arini, Ilham Armi, Defwaldi Defwaldi   +4 more
openaire   +1 more source

Identifying and Forecasting Potential Biophysical Risk Areas within a Tropical Mangrove Ecosystem Using Multi-Sensor Data [PDF]

Mangroves are one of the most productive ecosystems known for provisioning of various ecosystem goods and services. They help in sequestering large amounts of carbon, protecting coastline against erosion, and reducing impacts of natural disasters such as
Dahale, Subash, Kumar, Abhishek, Miranda, Isabel, Mishra, Deepak R., Pardo, Maria Luisa Escobar, Rashid, Taufiq, Remillard, Caren, Shrestha, Shanti   +7 more
core   +1 more source

Smart observation of management impacts on peatlands function (SmartBog) [PDF]

, 2019
Peatlands are an important ecosystem due to their role in carbon sequestration as well as other ecosystem services including; climate regulation and water regulation. Peatlands cover a small fraction (~3 %) of the terrestrial surface.
Connolly, John, Delaney, Declan, Habib, Wahaj, McGuinness, Kevin, Regan, Shane, Saunders, Matthew   +5 more
core  

Geospatial Assessment of Soil Erosion Using Revised Universal Soil Loss Equation in Hirshabelle State of Somalia [PDF]

Nature Environment and Pollution Technology
The objective of this study is to provide a thorough assessment of soil erosion in the Hirshabelle state from 2020 to 2023, utilizing the Revised Universal Soil Loss Equation (RUSLE) and advanced geospatial technologies, particularly Google Earth Engine,
Abdiaziz Hassan Nur, Md. Faruq Hasan, Susmita Sarmin, Atia Shahin, Abdinasir Abdullahi Mohamed and Ali Hussein Ahmed
doaj   +1 more source

Detection Of Land Drought Using Landsat Imagery On The Google Earth Engine Platform For Forest Fire Mitigation [PDF]

Kekeringan yang diperparah oleh El Niño dan pemanasan global sering kali mejadi pemicu terjadinya kebakaran hutan di Sumatra dan Kalimantan, Indonesia, yang berdampak pada ekosistem dan masyarakat setempat.
BAIHAQI, THORIQ, NUGROHO, HARY, SARI, DEWI KANIA   +2 more
core   +2 more sources

Everglades Ecological Forecasting II: Utilizing NASA Earth Observations to Enhance the Capabilities of Everglades National Park to Monitor & Predict Mangrove Extent to Aid Current Restoration Efforts [PDF]

Mangroves act as a transition zone between fresh and salt water habitats by filtering and indicating salinity levels along the coast of the Florida Everglades.
Ba, Adama, Cabosky, Rachel, Gotschalk, Emily, Gregory, Brad, Kendall, Candace, Kirk, Donnie, Nyquist, Mckenzie, Rhodes, Tyler, Toner, Caitlin, Wolfe, Amy   +9 more
core   +1 more source

ECOMangrove an interactive Earth engine apps for Mangrove index calculating and mapping

Discover Geoscience
Monitoring mangrove ecosystems is essential due to their numerous benefits, such as reducing coastal erosion, improving water quality, and possessing carbon storage capacity three to five times higher than other ecosystems.
Agnes Risma Anggraeni, Naufal Setiawan
doaj   +1 more source

A GPT-enhanced framework on knowledge extraction and reuse for geographic analysis models in Google Earth Engine

International Journal of Digital Earth
Geographic analysis models are becoming increasingly important in the era of geospatial big data. As a cloud platform that combines massive geospatial data resources with powerful computational capabilities, the Google Earth Engine (GEE) gathers a large ...
Jianyuan Liang, Anqi Zhao, Shuyang Hou, Fengying Jin, Huayi Wu   +4 more
doaj   +1 more source

Road Maintenance Prioritization (RMP) System [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study develops a transparent, weighted framework for assessing road condition and prioritizing maintenance at the segment level. Traffic data (AADT/ESAL) are fused with climate and terrain layers extracted via Google Earth Engine (GEE) into a ...
İ. R. Karaş, S. K. M. Abujayyab, O. Afana, M. Saghir   +3 more
doaj   +1 more source