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   Articles with "earth engine" as a keyword



Regional‐scale forest restoration effects on ecosystem resiliency to drought: a synthesis of vegetation and moisture trends on Google Earth Engine

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recommendations! Published in 2020 at "Remote Sensing in Ecology and Conservation"

DOI: 10.1002/rse2.186

Abstract: Large‐scale changes in forest structure and ecological function throughout western North America have led to increased frequency, size, and severity of wildfires. The US Forest Service is implementing state‐wide forest restoration initiatives to reduce wildfire… read more here.

Keywords: earth engine; moisture; synthesis; google earth ... See more keywords
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Rapid estimation of CO2 emissions from forest fire events using cloud-based computation of google earth engine

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recommendations! Published in 2021 at "Environmental Monitoring and Assessment"

DOI: 10.1007/s10661-021-09460-w

Abstract: One of the main sources of greenhouse gases is forest fire, with carbon dioxide as its main constituent. With increasing global surface temperatures, the probability of forest fire events also increases. A method that enables… read more here.

Keywords: earth engine; fire events; google earth; fire ... See more keywords
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Repeatable and standardised monitoring of threats to Key Biodiversity Areas in Africa using Google Earth Engine

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recommendations! Published in 2020 at "Ecological Indicators"

DOI: 10.1016/j.ecolind.2019.105763

Abstract: Abstract Key Biodiversity Areas (KBAs) are sites that make significant contributions to the global persistence of biodiversity, but identification of sites alone is not sufficient to ensure their conservation. Monitoring is essential if pressures on… read more here.

Keywords: earth engine; biodiversity areas; google earth; kbas ecoregions ... See more keywords

Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020

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recommendations! Published in 2021 at "Ecological Indicators"

DOI: 10.1016/j.ecolind.2021.107908

Abstract: Abstract Desertification is one of the most serious ecological and environmental problems in arid regions. Low-cost, wide-ranging, and high-precision methods are essential for the formulation of appropriate strategies for quantitatively monitoring desertification. In this study,… read more here.

Keywords: 1990 2020; earth engine; google earth; desertification ... See more keywords
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Leveraging Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring

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recommendations! Published in 2020 at "Remote Sensing of Environment"

DOI: 10.1016/j.rse.2019.111521

Abstract: Abstract Mapping and monitoring of indicators of soil cover, vegetation structure, and various native and non-native species is a critical aspect of rangeland management. With the advancement in satellite imagery as well as cloud storage… read more here.

Keywords: earth engine; machine learning; training data; google earth ... See more keywords

Glacier area changes in Novaya Zemlya from 1986–89 to 2019–21 using object-based image analysis in Google Earth Engine

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recommendations! Published in 2023 at "Journal of Glaciology"

DOI: 10.1017/jog.2023.18

Abstract: Climate change has had a significant impact on glacier recession, particularly in the Arctic, where glacier meltwater is an important contributor to global sea-level rise. Therefore, it is important to accurately quantify glacier recession within… read more here.

Keywords: glacier; area; google earth; 1986 2019 ... See more keywords

Estimation des surfaces irriguées ripariennes à l’aide de Earth Engine. Une étude de cas dans le sous-bassin versant de la Haute-Comoé, Burkina Faso

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recommendations! Published in 2024 at "Cahiers Agricultures"

DOI: 10.1051/cagri/2023023

Abstract: La mise au point d’une méthode automatique d’estimation des surfaces irriguées par les petits exploitants agricoles en Afrique aux abords des cours d’eau, à partir d’outils libres et de données satellitaires gratuites, reste un défi… read more here.

Keywords: estimation des; des surfaces; surfaces irrigu; irrigu ripariennes ... See more keywords

Monitoring cropland LAI using Gaussian Process Regression and sentinel – 2 surface reflectance data in Google Earth Engine

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recommendations! Published in 2024 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2024.2370503

Abstract: ABSTRACT Assessing Leaf Area Index (LAI) is one of the key indicators to study and understand cropland’s productivity. To this end, Sentinel-2 (S2) ideally serves to monitor LAI given its high spatial and temporal resolution.… read more here.

Keywords: gaussian process; cropland; google earth; model ... See more keywords

Geospatial assessment of forest disturbance and sustainable development goals integration in dry deciduous landscapes using remote sensing and Google Earth Engine

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recommendations! Published in 2025 at "Geocarto International"

DOI: 10.1080/10106049.2025.2567906

Abstract: ABSTRACT Dry deciduous forests are highly susceptible to anthropogenic pressures yet remain underrepresented in global research. This study proposes an integrated geospatial framework that combines remote sensing with Sustainable Development Goal (SDG) assessment to monitor… read more here.

Keywords: remote sensing; google earth; earth engine; dry deciduous ... See more keywords
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Classification of Indian cities using Google Earth Engine

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recommendations! Published in 2019 at "Journal of Land Use Science"

DOI: 10.1080/1747423x.2020.1720842

Abstract: The rapid expansion of cities and the impacts of urbanization on local and global environmental factors such as biodiversity and climate change are of great concern. Reliable rapid approaches for m... read more here.

Keywords: earth engine; indian cities; google earth; using google ... See more keywords

An efficient retrieval method on Google Earth Engine and comparison with hybrid methods: a case study of leaf area index retrieval

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recommendations! Published in 2025 at "International Journal of Digital Earth"

DOI: 10.1080/17538947.2025.2496403

Abstract: ABSTRACT Google Earth Engine (GEE) has emerged as a powerful tool offering extensive resources and algorithms for large-scale retrieval, facilitating various applications. However, these algorithms cannot quantify the uncertainty of estimates. This study proposes an… read more here.

Keywords: method; retrieval; earth; google earth ... See more keywords