IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Detecting spatiotemporal dynamics of urbanization is essential to study the patterns and processes of urban ecosystems. However, urban areas are difficult to classify, and migrating static classification algorithms to dynamic detection is also ...
Yang Zhang
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Revealing physical properties of gastric adenocarcinoma cells with two distinct morphologies linking to preferential cellular migration and proliferation [PDF]
Cell Communication and SignalingMechanobiology has played significant roles in guiding and regulating cellular activities, such as morphogenesis, organogenesis, wound healing. Inter-/intracellular force or stiffness as an engine induced cell to reshape their morphologies leading to ...
Dong Wang, Shinji Watanabe, Linhao Sun
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Global Estimation of Biophysical Variables from Google Earth Engine Platform
Remote Sensing, 2018 This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation Cover (FVC), and Canopy water content (CWC) maps from 15-years of MODIS data ...
Manuel Campos-Taberner +6 more
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CASPULE: A computational tool to study sticker spacer polymer condensates. [PDF]
PLoS Computational BiologyPhase separated condensates are recognized as a ubiquitous mechanism of spatial organization in cell biology. Biophysical modeling of condensates provides critical insights into the dynamics and functions of these subcellular structures that are ...
Aniruddha Chattaraj +3 more
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Land, 2023 The spatial pattern of regional green space is an important dimension to describe and quantitatively express the characteristics of regional green spaces outside the built-up area of a city.
Yiwen Ji +3 more
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Results in EngineeringThis present study aims to evaluate land use and land cover changes using five machine-learning algorithms in Google Earth Engine. The performance of these machine learning algorithms was evaluated using user accuracy, producer accuracy, overall accuracy,
Bhaskar Mandal
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Desertification monitoring in arid oasis environment using Google Earth Engine, machine learning, and field-based hydrogeological assessment [PDF]
Scientific ReportsOasis ecosystems, vital for water and food security in arid and semi-arid regions, are highly susceptible to degradation from climatic stress, fragile soils, and excessive groundwater withdrawal.
Adil Moumane +8 more
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Hybrid spatiotemporal modeling of nutrient cycling in wetland ecosystems using advanced mapping techniques and machine learning approaches [PDF]
Scientific ReportsAccurate spatiotemporal monitoring of nutrient cycling in wetlands is critical for conservation. However, traditional field-based methods are often inadequate for capturing the overall dynamics of wetlands.
Eric Ariel L. Salas +3 more
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MODELING AND FORECASTING CUMULATIVE EVI ANOMALIES USING SARIMA FOR BIOPHYSICAL MONITORING: A CASE STUDY IN THE PHILIPPINES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Understanding changes in vegetation cover that affect the biophysical conditions of a region can help in formulating policies to address current and future problems of terrestrial ecosystems such as deforestation and environmental degradation. This study
A. J. L. Diccion, J. Z. Duran
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Urban change detection: assessing biophysical drivers using machine learning and Google Earth Engine [PDF]
Environmental Monitoring and AssessmentOlufemi Sunday Durowoju +2 more
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