Results 71 to 80 of about 14,070 (221)
Earth observation (EO) data, such as high-resolution satellite imagery or LiDAR, has become one primary source for forests Aboveground Biomass (AGB) mapping and estimation. However, managing and analyzing the large amount of globally or locally available
Zelong Yang +5 more
doaj +1 more source
Assessment of Bleaching Stress Vulnerability of Lakshadweep Islands using Google Earth Engine (GEE)
Coral reefs, among the Earth’s most diverse and valuable ecosystems, face unprecedented challenges due to climate change. Coral bleaching is a phenomenon wherein corals lose their symbiotic zooxanthellae owing to various stressors, leading to a whitening effect of the coral tissues.
Divya Mhalaskar +2 more
openaire +1 more source
As informacoes sobre o uso e cobertura do solo desempenham um papel vital em muitos aspectos sociais, economicos, politicos e ambientais. Estas informacoes subsidiam programas e politicas publicas socioambientais a fim de minimizar os impactos negativos do desenvolvimento economico, principalmente na gestao de Unidades de Conservacao, tais como as ...
Wesley dos Santos Carvalho +2 more
openaire +1 more source
Rapidly declining seagrass meadows in Brazil: Findings from satellite imagery and local knowledge
Abstract Due to the limitations of individual monitoring approaches, integrating social perceptions with multiple advanced technologies provides a new opportunity to gain a comprehensive understanding of ecosystem degradation. We combined historical aerial mapping, satellite imagery, semi‐structured interviews with local stakeholders, and a bilingual ...
Karine Matos Magalhães +6 more
wiley +1 more source
Advances in Earth observation capabilities and the expanded accessibility of data provide the opportunity to monitor air pollution on a global scale. The Google Earth Engine (GEE) enables the efficient conduct of such large-scale research.
Nuri Erkin Öçer +2 more
doaj +1 more source
Um protocolo para aproveitamento de IA no GEE para mapeamento de transição de uso e cobertura da terra: o caso de São Paulo (1985-2024) [PDF]
This paper explores the application of generative artificial intelligence as a coding assistant to produce land use and land cover transition maps within the Google Earth Engine (GEE) platform.
Pacheco, Rodrigo da Cunha
core +2 more sources
Multi‐Sensor Spatiotemporal Fusion for 30‐m Daily Gapless Snow Cover Mapping
Abstract High spatiotemporal resolution remote sensing data is crucial for monitoring heterogeneous mountainous snow cover. Although spatiotemporal fusion presents a promising approach for high‐resolution snow monitoring, cloud contamination and sparse observations remain a critical constraint on its large‐scale and long‐term implementation. To address
Jinhang Wu +5 more
wiley +1 more source
ANALISIS PERUBAHAN TUTUPAN LAHAN TAHUN 2013-2022 DI KOTA SEMARANG MENGGUNAKAN GOOGLE EARTH ENGINE [PDF]
Population growth, urbanization, policy changes, economic activities, agriculture, infrastructure development, and climate change are some of the factors that can lead to land cover changes. This necessitates serious monitoring to determine the extent of
Armijon +3 more
core +2 more sources
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
Written Summary: Measuring energy exchanges between land and atmosphere is fundamental to understanding climate, but these measurements are systematically incomplete, with 20%–40% of energy consistently unaccounted for. Analyzing data from 84 sites worldwide, we show that carefully tracking all energy components and applying strict data quality filters
Giacomo Nicolini +45 more
wiley +1 more source

