Results 61 to 70 of about 4,305 (184)

The Relationship of Rainfall Variability to Flood Events Using Google Earth Engine (GEE) In Makassar City

Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam
Indonesian people are most harmed by flood hydrometeorological disasters, which cause material and immaterial losses. Floods often occur in some areas of Makassar City due to high rainfall and the high density of people and buildings, especially in the rainy season.
Mutmainnah Ali, Nasrul Nasrul, Sukri Nyompa, Arfandi Arfandi, Rosmini Maru   +4 more
openaire   +1 more source

Microbial Community Shifts and Plant Performance Improvements Driven by Bacillus firmus in Pampa Agroecosystems

Environmental Microbiology Reports, Volume 18, Issue 3, June 2026.
The study shows that Bacillus firmus‐based bionematicides modulate soil microbiota and enhance soybean growth in the Pampa biome. Effects vary by location and time, with increased beneficial bacteria, reduced fungi, and decreased root nematode infestation. Overall, B.
David Fagundes, Laís Mara Santana Costa, Alexandro Cagliari, Diego Prado de Vargas, Alexandre Rieger   +4 more
wiley   +1 more source

Changes in NO2 and O3 levels due to the pandemic lockdown in the industrial cities of Tehran and Arak, Iran using Sentinel 5P images, Google Earth Engine (GEE) and statistical analysis. [PDF]

Stoch Environ Res Risk Assess, 2023
Gharibvand LK, Jamali AA, Amiri F.
europepmc   +1 more source

Application of Deep Learning and Rain‐On‐Grid Hydrodynamic Modeling for Catchment‐Scale Flood Forecasting in Guwahati, India

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT This study integrates deep learning‐based real‐time rainfall forecasting with hydrodynamic flood modeling to provide near real‐time predictions of urban flood inundation. The research focuses on urban Guwahati, a rapidly urbanizing city in Northeast India prone to recurrent pluvial flooding. A novel hybrid model, Multivariate Singular Spectrum
Shejule Priya Ashok, Sreeja Pekkat
wiley   +1 more source

Pemanfaatan Google Earth Engine dan Citra Terra Modis Untuk Analisis Suhu Permukaan Tanah di Provinsi Sumatera Selatan

, 2023
The increase in surface temperature can be caused by several factors, such as population growth followed by infrastructure development. Continuous development is often accompanied by land use changes that can affect the surrounding environment, leading ...
Tika Christy Novianti, Hendry Natanael Gumano   +1 more
core   +1 more source

Performance Evaluation of Automated Flood Inundation Mapping Techniques Using Multi‐Temporal Sentinel‐1 SAR Data

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT In recent times, the development of algorithms to delineate water surface maps has significantly boosted flood monitoring and mitigation efforts by utilizing dual polarization, multi‐temporal Sentinel‐1 synthetic aperture radar (SAR) data. The Sentinel‐1 mission, with its global land monitoring capability, has been widely employed for SAR ...
Gautam Dadhich, Mukand Babel, Hiroyuki Miyazaki, Indrajit Pal, Nitin Kumar Tripathi, Salvatore G. P. Virdis   +5 more
wiley   +1 more source

Flood Hazard Mapping in a Data‐Scarce Urban Watershed Using Analytical Hierarchy Process and Fuzzy Logic: A Case Study of Cuttack, India

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Floods are among the most frequent and damaging natural hazards in India, particularly affecting low‐lying urban areas in the eastern regions such as Cuttack, Odisha. This study aims to develop a flood hazard susceptibility map for the Cuttack district in Odisha, India, using a combined Analytical Hierarchy Process (AHP) and fuzzy logic ...
Siprarani Pradhan, Surendar Natarajan, Dev Kalyan Panda, Naveen Joseph   +3 more
wiley   +1 more source

Assessing the Impact of Spatial Resolution and Hyperparameters on Automatic Agricultural Parcel Delineation Using the Segment Anything Model With Multi‐Resolution and Super‐Resolved Satellite Imagery

Transactions in GIS, Volume 30, Issue 4, June 2026.
ABSTRACT Accurate and automatic determination of the boundaries of agricultural parcels is essential for planning sustainable agricultural policies, managing agricultural production, tracking products and enabling precision farming applications. In recent years, pre‐trained visual base models with zero‐shot segmentation capabilities, such as the ...
Fatih Fehmi Şimşek, Melih Altay, Kaan Kalkan, Mehmet Cengiz Arslanoğlu   +3 more
wiley   +1 more source

Feasibility Mapping of L‐Band InSAR for SWE Retrievals Across the Western United States

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Mountain snowpacks provide vital water resources for communities in the western U.S. (WUS), but high spatial variability challenges accurate measurement of snow water equivalent (SWE) from remote sensing platforms. Studies using repeat airborne L‐band (∼25 cm wavelength) Interferometric Synthetic Aperture Radar (InSAR) have demonstrated ...
Preetika Kaur, Ryan Webb, Jack Tarricone, Karl Rittger, Daniel McGrath, Eric Gagliano, Ross Palomaki, Randall Bonnell, Richard Forster, Hans‐Peter Marshall   +9 more
wiley   +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. Prompt identification of affected areas and initiation of the rehabilitation process are imperative to address the disturbances in the ...
Cinar, Tunahan, Aydin, Abdurrahim
openaire   +1 more source