|
|
|
Zifan Rong, Xuesong Jiang, Linfeng Huang and Hongping Zhou
Pan-sharpening aims to create high-resolution spectrum images by fusing low-resolution hyperspectral (HS) images with high-resolution panchromatic (PAN) images. Inspired by the Swin transformer used in image classification tasks, this research constructs...
ver más
|
|
|
|
|
|
|
Jhonny Alejandro Poveda-Giraldo and Carlos Ariel Cardona Alzate
In the last decade, pretreatment has been considered the core stage in the design of biorefineries. Different schemes could be proposed depending on the design objective, either pretreatments for the feedstock fractionation or pretreatments to obtain a p...
ver más
|
|
|
|
|
|
|
Agbortoko Bate Ashu and Sang-Il Lee
Understanding hydrological processes using hydrological model parameters can improve the management of water resources in a watershed. This research uses the Soil and Water Assessment Tool (SWAT) model in examining the water balance in the Yeongsan River...
ver más
|
|
|
|
|
|
|
Jinn-Chyi Chen, Xun-Rui Fan, Jian-Qiang Fan, Xi-Zhu Lai, Gui-Liang Li and Feng-Bin Li
This study investigated the visual harmony of an urban stream considering changes to the ratio of water to greenery on the riverbed. The Baxi stream, a third-order stream in Yongan City, Fujian Province, China was selected as the study site. The stream r...
ver más
|
|
|
|
|
|
|
Will L. Varela, Neal D. Mundahl, Silas Bergen, David F. Staples, Jennifer Cochran-Biederman and Cole R. Weaver
Agricultural activities within watersheds can have negative effects on river ecosystems, but numerous conservation practices can be implemented that reduce soil erosion, increase water infiltration, slow runoff, and improve soil quality. Our study focuse...
ver más
|
|
|
|
|
|
|
Guilherme Yukio Sakurai, Jessica Fernandes Lopes, Bruno Bogaz Zarpelão and Sylvio Barbon Junior
The stream mining paradigm has become increasingly popular due to the vast number of algorithms and methodologies it provides to address the current challenges of Internet of Things (IoT) and modern machine learning systems. Change detection algorithms, ...
ver más
|
|
|
|
|
|
|
Narayanan Kannan
Overall health of a stream is one of the powerful indicators for planning mitigation strategies. Currently, available methods to estimate stream health do not look at all the different components of stream health. Based on the statistical parameters obta...
ver más
|
|
|
|
|
|
|
Paula Alvarenga, Nádia Guerreiro, Isabel Simões, Maria José Imaginário and Patrícia Palma
Mining activities at the Portuguese sector of the Iberian Pyrite Belt (IPB) have been responsible for the pollution of water, sediments, and biota, caused by the acid mine drainage (AMD) from the tailing deposits. The impact has been felt for years in th...
ver más
|
|
|
|
|
|
|
Tuan-Anh Tran, Tamás Ruppert and János Abonyi
The powerful combination of lean principles and digital technologies accelerates waste identification and mitigation faster than traditional lean methods. The new digital lean (also referred to as Lean 4.0) solutions incorporate sensors and digital equip...
ver más
|
|
|
|
|
|
|
Bilal Ahmad Munir, Sajid Rashid Ahmad and Raja Rehan
In this study, a relation-based dam suitability analysis (RDSA) technique is developed to identify the most suitable sites for dams. The methodology focused on a group of the most important parameters/indicators (stream order, terrain roughness index, sl...
ver más
|
|
|
|