Results 81 to 90 of about 21,743 (232)

Geographic Object-Based Image Analysis (GEOBIA) for Landslide Identification using Machine Learning on Google Earth Engine (GEE)

, 2023
Abstract Landslides significantly threaten human life and infrastructure, requiring accurate and timely identification for effective hazard assessment and management. In this study, we propose a novel approach for landslide identification by integrating Geographic Object-Based Image Analysis (GEOBIA) with advanced techniques and machine ...
Diwakar Khadka, Jie Zhang
openaire   +1 more source

Exploring the Potential of the Google Earth Engine (GEE) Platform for Analysing Forest Disturbance Patterns with Big Data

Earth Sciences Research Journal
Climate change has led to various adverse consequences, with natural disasters being one of the most striking outcomes. Natural disasters negatively impact life, causing significant disruptions to the ecosystem.
Tunahan Çınar, Abdurrahim Aydın
semanticscholar   +1 more source

Impacts of past abrupt land change on local biodiversity globally [PDF]

, 2019
Abrupt land change, such as deforestation or agricultural intensification, is a key driver of biodiversity change. Following abrupt land change, local biodiversity often continues to be influenced through biotic lag effects.
A De Palma, A Purvis, A Zeileis, B DeVries, BL Turner, C Leys, C Papagiannopoulou, C Potter, CA Peres, D Aguiar, D Foster, D Moreno-Mateos, D Tilman, DG Nimmo, DM Bates, EC Ellis, F Essl, F Isbell, F Tian, GP Asner, J Krauss, J Reiche, J Verbesselt, J Verbesselt, J-F Pekel, JE Vogelmann, JM Fraterrigo, JM Halley, K Hylander, K Ogle, L Gibson, L Santini, LN Hudson, LN Hudson, M Dornelas, M Jauni, M Jung, M Kuussaari, M Linderman, MA Wulder, MC Peel, MG Turner, MG Turner, MP Perring, N Gorelick, N Pettorelli, N Shackelford, PA Martin, PG Curtis, R de Jong, R Fensholt, RE Kennedy, RE Kennedy, RL Chazdon, SH Hurlbert, SJ Watson, SLR Wood, SR Supp, T Mueller, T Newbold, T Newbold, T Newbold, XA Harrison, Xiao-Peng Song, Y Hautier, Z Fu, Z Jiang, Z Zhu, Z Zhu, Z Zhu   +69 more
core   +2 more sources

Assessing the Impact of Land Use and Land Cover Changes on Surface Temperature Dynamics Using Google Earth Engine: A Case Study of Tlemcen Municipality, Northwestern Algeria (1989–2019)

ISPRS International Journal of Geo-Information
Changes in land use and land cover (LULC) have a significant impact on urban planning and environmental dynamics, especially in regions experiencing rapid urbanization.
Imene Selka, Abderahemane Medjdoub Mokhtari, Kheira Anissa Tabet Aoul, Djamal Bengusmia, Kacemi Malika, Khadidja El-Bahdja Djebbar   +5 more
doaj   +1 more source

Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing [PDF]

, 2018
Phenology is a valuable diagnostic of ecosystem health, and has applications to environmental monitoring and management. Here, we conduct an intercomparison analysis using phenological transition dates derived from near-surface PhenoCam imagery and MODIS
Frolking, Stephen E., Hufkens, Koen, Milliman, Thomas E., Richardson, Andrew D.   +3 more
core   +1 more source

Malaria risk in young male travellers but local transmission persists: a case-control study in low transmission Namibia. [PDF]

, 2017
BACKGROUND: A key component of malaria elimination campaigns is the identification and targeting of high risk populations. To characterize high risk populations in north central Namibia, a prospective health facility-based case-control study was ...
Auala, Joyce, Gosling, Roly, Haindongo, Erastus, Kleinschmidt, Immo, Mumbengegwi, Davis, Smith, Jennifer L, Sturrock, Hugh JW, Uusiku, Petrina   +7 more
core   +6 more sources

Синтез и анализ индексных изображений для выявления динамики изменения русла реки Амударя на облачной платформе GEE [PDF]

, 2023
Google Earth Engine (GEE) is a cloud-based geospatial data processing platform for large-scale environmental monitoring and analysis. The free-to-use GEE platform provides access to several petabytes of publicly available remote sensing images and other ...
Ахмеджанов, Р., Рахманов, Х.Э., Фаттаева, Д.А.   +2 more
core   +1 more source

Accelerated Adoption of Google Earth Engine for Mangrove Monitoring: A Global Review

Remote Sensing
Mangrove forests support coastal resilience, biodiversity, and significant carbon sequestration, yet they face escalating threats from climate change, urban expansion, and land-use change.
K. M. Ashraful Islam, Paulo Murillo-Sandoval, Eric Bullock, Robert Kennedy   +3 more
doaj   +1 more source

Leveraging Geo-AI to Evaluate Conservation Land Conditions in Nebraska, USA [PDF]

Wetlands are among the most vital natural resources, offering extensive ecosystem services that benefit human societies. However, human activities and disturbances have led to widespread wetland degradation and loss worldwide. Key factors contributing to
Jahangeer, Fnu
core   +1 more source

Mapping The Unseen: A Quantitative Analysis of Avalanche Cycle Using Sentinel-1 and Google Earth Engine [PDF]

Denne oppgaven utforsker bruken av Sentinel-1 satellittdata gjennom Google Earth Engine (GEE) for å analysere skredsykluser i Lyngen, Nord-Troms. Ved å integrere data fra ulike kilder, inkludert Regobs-databasen og værforhold, har studien som mål å ...
Bjerke, Anders Haukaas
core