Results 21 to 30 of about 133,736 (373)

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

open access: yesRemote 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.
S. Ermida   +4 more
semanticscholar   +1 more source

Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods

open access: yesRemote Sensing, 2022
Accurate and real-time land use/land cover (LULC) maps are important to provide precise information for dynamic monitoring, planning, and management of the Earth.
V. Nasiri   +4 more
semanticscholar   +1 more source

Analysis of Land Use and Land Cover Using Machine Learning Algorithms on Google Earth Engine for Munneru River Basin, India

open access: yesSustainability, 2021
The growing human population accelerates alterations in land use and land cover (LULC) over time, putting tremendous strain on natural resources. Monitoring and assessing LULC change over large areas is critical in a variety of fields, including natural ...
K. N. Loukika   +2 more
semanticscholar   +1 more source

Hydrological Foundation as a Basis for a Holistic Environmental Flow Assessment of Tropical Highland Rivers in Ethiopia [PDF]

open access: yes, 2020
The sustainable development of water resources includes retaining some amount of the natural flow regime in water bodies to protect and maintain aquatic ecosystem health and the human livelihoods and wellbeing dependent upon them.
Abebe, Wubneh B.   +10 more
core   +2 more sources

AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Cloud coverage is one of the biggest concerns in spaceborne optical remote sensing, because it hampers a continuous monitoring of the Earth’s surface.
M. Schmitt   +4 more
doaj   +1 more source

CHINA FOREST COVER EXTRACTION BASED ON GOOGLE EARTH ENGINE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Forest cover rate is the principal indice to reflect the forest acount of a nation and region. In view of the difficulty of accurately calculating large-scale forest area by traditional statistical survey methods, it is proposed to extract China forest ...
Y. T. Guo   +9 more
doaj   +1 more source

Responses of seasonal indicators to extreme droughts in southwest China [PDF]

open access: yes, 2020
Significant impact of extreme droughts on human society and ecosystem has occurred in many places of the world, for example, Southwest China (SWC). Considerable research concentrated on analyzing causes and effects of droughts in SWC, but few studies ...
Ge, Zhongxi   +8 more
core   +1 more source

Land Cover Classification using Google Earth Engine and Random Forest Classifier - The Role of Image Composition

open access: yesRemote Sensing, 2020
Land cover information plays a vital role in many aspects of life, from scientific and economic to political. Accurate information about land cover affects the accuracy of all subsequent applications, therefore accurate and timely land cover information ...
Phan Thanh Noi, V. Kuch, L. Lehnert
semanticscholar   +1 more source

Building a Better Urban Picture: Combining Day and Night Remote Sensing Imagery

open access: yesRemote Sensing, 2015
Urban areas play a very important role in global climate change. There is increasing need to understand global urban areas with sufficient spatial details for global climate change mitigation.
Qingling Zhang   +3 more
doaj   +1 more source

TRACKING THE GODZILLA DUST PLUME USING GOOGLE EARTH ENGINE PLATFORM [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
As part of Earth’s nutrient cycle, a layer of air travels every summer from Africa across the Atlantic Ocean. In June 2020, the thickest and densest dust plume traveled over 5000 miles along with the Saharan Air Layer (SAL) from Africa towards the USA ...
A. B. Asare-Ansah   +10 more
doaj   +1 more source

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