Results 71 to 80 of about 13,124 (213)

Identification of geological units in Alborz Mountain in Iran using Landsat-9 image

Geodesy and Cartography
In the present study, the suitability of principal components analysis (PCA) based techniques was evaluated for identification of geological units from Landsat-9 satellite imagery.
Komeil Rokni, Davood Akbari
doaj   +1 more source

Cloud Screening Method in Complex Background Areas Containing Snow and Ice Based on Landsat 9 Images. [PDF]

Int J Environ Res Public Health, 2022
Wu T, Liu Q, Jing Y.
europepmc   +1 more source

Improved Cerrado Wetland Mapping Through Seasonal Moisture Metrics, Terrain Information and Semantic Segmentation

Remote Sensing in Ecology and Conservation, EarlyView.
Brazil's Cerrado valley wetlands—swamp savanna and gallery forest—are highly important for the biome's water cycle and carbon storage and are susceptible to degradation from the impacts of land use expansion and the climate crisis. In support of their detailed monitoring and assessment, we developed and tested a transferable mapping approach that ...
Felix Beer, Hugo do Nascimento Bendini, Mateus de Souza Miranda, Vu‐Dong Pham, Leila Maria Garcia Fonseca, Cássia Beatriz Rodrigues Munhoz, Sebastian van der Linden   +6 more
wiley   +1 more source

Quantification of flash flood peaks using computer simulation for potential hill torrents of Pakistan: A modeling study

River, EarlyView.
Abstract This study investigates rainfall runoff behavior of five major torrential Nullahs' of Dera Ghazi Khan (D. G. Khan) for flash flood events. The integration, and fusion of satellite‐based meteorological, topographical, and pedo‐transferred function's (PTF) derived soil hydraulic datasets at 250 m grid size substantially proves a viable approach ...
Bilal A. Munir, Sidra Hafeez, Muhammad Yasir, Raja Rehan, Muhammad A. Javed   +4 more
wiley   +1 more source

Evaluating Google AlphaEarth and Landsat 8/9 Multisource Data Using Random Forest, Rotation Forest, and Canonical Correlation Forest for Enhanced Land Cover Classification

Nova Geodesia
Land cover classification is undergoing a major shift driven by advances in Earth observation and machine learning. While Landsat 8 and Landsat 9 continue to provide reliable, physically interpretable, and openly accessible multispectral data, emerging ...
Saviour Mantey, Isaac S.K. Attipoe, Toffick W. Mohammed   +2 more
doaj   +1 more source

Evaluating the Consistency of Radiometric Cross-Calibrated TOA Radiance Products Between Landsat-8 OLI and Landsat-9 OLI2

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
As China’s space technology rapidly progresses, the frequency of remote sensing satellite launches has significantly increased, elevating the demand for data consistency in integrated multiple sensors’ applications. Thus, the radiometric consistency of multiple sensors should be verified.
Qilong Zhou, Hongzhao Tang, Wei Chen 0026, Chenchao Xiao   +3 more
openaire   +2 more sources

Integrated hydrologic and hydrodynamic modeling for flood hazard assessment in Ajay River Basin, West Bengal, India

River, EarlyView.
Abstract The Ajay River, originating from the Chotanagpur Plateau (Bihar) and flowing through Jharkhand into West Bengal before merging with the Bhagirathi‐Hugli near Katwa, is among the most flood‐prone rivers in the region. Its lower reaches frequently experience rainfall‐induced flooding and embankment breaches during the mid‐ to late‐monsoon season.
Shanku Ghosh, C. Prakasam
wiley   +1 more source

Evaluation of Sentinel-2 MSI and Landsat OLI data for land use and land cover classification across diverse geospatial regions using supervised machine learning classifiers

Geodesy and Cartography
Employing advanced remote sensing techniques, this paper undertakes a rigorous technical investigation into the comparative performance of Sentinel-2 and Landsat 9 datasets.
Anubhava Srivastava, Raziqa Masood, Konika Abid, Shikha Chadha   +3 more
doaj   +1 more source

ML‐Assisted Adaptive Fade Mitigation for Satellite Connectivity

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT The demand for reliable and high‐quality wireless networks driven by resource‐intensive applications and services is growing rapidly and invoked the emergence of beyond 5G (B5G) and 6G paradigm and technologies which include satellite systems as part of the nonterrestrial networks (NTN).
Jinwara Surattanagul, Abdulkareem Karasuwa, Kamolideen Abolarinwa, Jonathan Rodriguez, Ifiok Otung   +4 more
wiley   +1 more source

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source