Results 111 to 120 of about 7,259,736 (298)

Modification of the Madeira River morphology following large hydropower projects detected by satellite data

River, EarlyView.
Abstract Estimating suspended sediment concentration (SSC) in river channels is essential for understanding hydro‐sedimentological processes, managing water quality, and conserving aquatic ecosystems. This study evaluated different empirical equations to estimate SSC in the lower Madeira River and analyzed its hydro‐sedimentary dynamics based on MODIS ...
Matheus Silveira de Queiroz, Rogério Ribeiro Marinho, Paulo Rodrigo Zanin, Andre Luis Martinelli Real dos Santos, Jean‐Michel Martinez, Naziano Pantoja Filizola Junior   +5 more
wiley   +1 more source

Landsat-8 vs. Sentinel-2: examining the added value of sentinel-2’s red-edge bands to land-use and land-cover mapping in Burkina Faso

GIScience & Remote Sensing, 2018
The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite imagery received a major boost with the recent launch of the Sentinel-2 sensor by the European Space Agency.
Gerald Forkuor, Kangbeni Dimobe, Idriss Serme, Jerome Ebagnerin Tondoh   +3 more
doaj   +1 more source

Koreksi Radiometrik Data Citra Landsat Menggunakan Semi Automatic Classification Plugin Pada Software QGIS = Radiometric Corrections of Landsat Image Using Semi Automatic Classification Plugin on Software QGIS

, 2016
Data Landsat-8 dikoreksi radiometrik menggunakan koreksiTop of Atmosphere (ToA) yang meliputi ToA reflektansi dan koreksi matahari. Koreksi ToA reflektansi dilakukan dengan mengkonversi nilai Digital Number ke nilai reflektansi.
Ahmad Sutanto, Arum Tjahjaningsih
core  

Landsat-8 derived yield, CWU and WF of carrot crop cultivated in the field number 3–5.

, 2018
Landsat-8 derived yield, CWU and WF of carrot crop cultivated in the field number 3–5.
Rangaswamy Madugundu (2826635), Khalid A. Al-Gaadi (2826632), Abdalhaleem A. Hassaballa (3111498), ElKamil Tola (2826626), Ahmed G. Kayad (2826638)   +4 more
core   +1 more source

A review of the research and advancements in MSDF monitoring for the remote sensing of soil and water conservation in China

River, EarlyView.
Abstract With the advancement of remote sensing technology, the accuracy of satellite remote sensing data has continuously improved, and the precision of large‐scale soil and water conservation monitoring has steadily increased. However, owing to differences in sensor acquisition and processing methods, monitoring data obtained through various ...
Wenxiang Liu, Shaohua Lei, Jinsong Shi, Kun Sun, Qiu Jin   +4 more
wiley   +1 more source

Detecting The Damaged Areas Caused By Sinabung Volcano Eruption During 2013-2016 Using Landsat-8 Multitemporal

, 2016
After inactive for centuries, in 2013 Sinabung Volcano active again with the enormity eruption that release a hot cloud, lava and pyroclastic flows.
Hidayat, Suwarsono, M. Rokhis Khomarudin, Fajar Yulianto, Totok Suprapto, Parwati, Indah Prasasti, Zylshal   +7 more
core  

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

Gap-filling of land surface temperature in arid regions by combining Landsat 8 and 9 imageries

Environmental Research Communications
Land surface temperature (LST) is an important factor in land monitoring studies, but due to the presence of clouds, dust and sensor issues, there are missing values.
Fahime Arabi Aliabad, Ebrahim Ghaderpour, Ahmad Mazidi, Fatemeh Houshmandzade   +3 more
doaj   +1 more source

Object-Based Greenhouse Mapping Using Very High Resolution Satellite Data and Landsat 8 Time Series [PDF]

, 2016
Greenhouse mapping through remote sensing has received extensive attention over the last decades. In this article, the innovative goal relies on mapping greenhouses through the combined use of very high resolution satellite data (WorldView-2) and Landsat
Nemmaoui, Abderrahim, Manuel A. Aguilar, Fernando Aguilar, Aguilar, Manuel A, Aguilar, Manuel A., Abderrahim Nemmaoui, Andrés García Lorca, Novelli, Antonio, Aguilar Torres, Manuel Ángel, Aguilar Torres, Fernando José, García Lorca, Andrés Miguel, Manuel Aguilar, Fernando J. Aguilar, Aguilar, Fernando J., Aguilar Torres, Manuel, Lorca, Andrés García, Antonio Novelli, García Lorca, Andrés   +17 more
core   +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