Results 31 to 40 of about 14,645 (100)

A Sensitivity Analysis on the Spectral Signatures of Low-Backscattering Sea Areas in Sentinel-1 SAR Images

Remote Sensing, 2021
Satellite synthetic aperture radar (SAR) is a unique tool to collect measurements over sea surface but the physical interpretation of such data is not always straightforward. Among the different sea targets of interest, low-backscattering areas are often
Valeria Corcione, Andrea Buono, Ferdinando Nunziata, Maurizio Migliaccio   +3 more
doaj   +1 more source

Spatial-Temporal Changes in Aquaculture Ponds in Coastal Cities of Guangdong Province: An Empirical Study Based on Sentinel-1 Data during 2015-2019

Redai dili, 2021
Guangdong Province has the largest extent of coastal aquaculture in China. Quantitative analysis of the spatial distribution pattern and evolution trend of on-land artificial aquaculture bases in the coastal areas of Guangdong Province has great ...
Huang Senwen, Wei Chunzhu
doaj   +1 more source

Analysis of Landslide Movements Using Interferometric Synthetic Aperture Radar: A Case Study in Hunza-Nagar Valley, Pakistan

Remote Sensing, 2020
From a geological standpoint, northern Pakistan is one of the most active and unstable areas in the world. As a consequence, many massive landslides have occurred in the area in historical times that have destroyed infrastructure, blocked the Hunza River,
Mohib Ur Rehman, Yi Zhang, Xingmin Meng, Xiaojun Su, Filippo Catani, Gohar Rehman, Dongxia Yue, Zainab Khalid, Sajjad Ahmad, Ijaz Ahmad   +9 more
doaj   +1 more source

The use of multi-sensor satellite imagery to analyze flood events and land cover changes using change detection and machine learning techniques in the Barito watershed

Journal of Degraded and Mining Lands Management, 2023
Indonesia is one of the countries in the world that is frequently affected by floods. Flood disasters can have various negative impacts and therefore need to be analyzed to determine prevention and mitigation measures.
Muhammad Priyatna, Sastra Kusuma Wijaya, Muhammad Rokhis Khomarudin, Fajar Yulianto, Gatot Nugroho, Pingkan Mayestika Afgatiani, Anisa Rarasati, Muhammad Arfin Hussein   +7 more
doaj   +1 more source

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data

Remote Sensing, 2020
Flash floods induced by torrential rainfalls are considered one of the most dangerous natural hazards, due to their sudden occurrence and high magnitudes, which may cause huge damage to people and properties. This study proposed a novel modeling approach
Viet-Nghia Nguyen, Peyman Yariyan, Mahdis Amiri, An Dang Tran, Tien Dat Pham, Minh Phuong Do, Phuong Thao Thi Ngo, Viet-Ha Nhu, Nguyen Quoc Long, Dieu Tien Bui   +9 more
doaj   +1 more source

A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables [PDF]

, 2022
Chi Xu, Yanling Ding, Xingming Zheng, Yeqiao Wang, Rui Zhang, Hongyan Zhang, Zewen Dai, Qiaoyun Xie   +7 more
openalex   +1 more source

Land Cover Classification of Nine Perennial Crops Using Sentinel-1 and -2 Data

Remote Sensing, 2019
Land cover mapping of intensive cropping areas facilitates an enhanced regional response to biosecurity threats and to natural disasters such as drought and flooding.
James Brinkhoff, Justin Vardanega, Andrew J. Robson   +2 more
doaj   +1 more source

Automated snow avalanche monitoring for Austria: State of the art and roadmap for future work

Frontiers in Remote Sensing, 2023
Avalanches pose a significant threat to the population and infrastructure of mountainous regions. The mapping and documentation of avalanches in Austria is mostly done by experts during field observations and covers usually only specific localized areas.
Kathrin Lisa Kapper, Thomas Goelles , Thomas Goelles , Stefan Muckenhuber , Stefan Muckenhuber , Andreas Trügler , Andreas Trügler , Andreas Trügler , Jakob Abermann , Birgit Schlager , Birgit Schlager , Christoph Gaisberger , Markus Eckerstorfer , Jakob Grahn , Eirik Malnes , Alexander Prokop , Alexander Prokop , Wolfgang Schöner    +17 more
doaj   +1 more source

Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data [PDF]

Geo Data
In this study, we used a Bayesian mixture model (BMM) to monitor water surface areas and estimate water levels in Yeongcheon Dam through Sentinel-1 synthetic aperture radar (SAR) imagery.
DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim   +5 more
doaj   +1 more source

Assessment of Urban Subsidence in the Lisbon Metropolitan Area (Central-West of Portugal) Applying Sentinel-1 SAR Dataset and Active Deformation Areas Procedure [PDF]

, 2022
José Cuervas-Mons, José Luı́s Zêzere, María José Domínguez‐Cuesta, Anna Barra, Cristina Reyes‐Carmona, Oriol Monserrat, Sérgio C. Oliveira, Raquel Melo   +7 more
openalex   +1 more source