Results 51 to 60 of about 2,221 (193)
Spatial distribution prediction of growing stock volume (GSV) for supporting the sustainable management of forest ecosystems, is one of the most widespread applications of remote sensing.
Xinyu Li +4 more
doaj +1 more source
Remote Sensing Single-Image Superresolution Based on a Deep Compendium Model [PDF]
This letter introduces a novel remote sensing single-image superresolution (SR) architecture based on a deep efficient compendium model. The current deep learning-based SR trend stands for using deeper networks to improve the performance.
Fernandez-Beltran, Ruben +5 more
core +2 more sources
Efficient Building Extraction for High Spatial Resolution Images Based on Dual Attention Network [PDF]
Building extraction with high spatial resolution images becomes an important research in the field of computer vision for urban-related applications. Due to the rich detailed information and complex texture features presented in high spatial resolution ...
Guan, Renchu +3 more
core +1 more source
Abstract The air–sea interface near seasonal ice edges notably regulates the regional climate but remains poorly understood. We present the first coordinated buoy–cruise measurements in the Bohai Sea—the world's lowest‐latitude seasonal ice zone—during the winter of 2024–2025.
Yulin Lu +9 more
wiley +1 more source
Deep learning algorithms show good prospects for remote sensing flood monitoring. They mostly rely on huge amounts of labeled data. However, there is a lack of available labeled data in actual needs.
Yuwei Zhang +5 more
doaj +1 more source
KAUSTSat: Saudi Arabia's First Hyperspectral CubeSat Mission for Earth Observation
Abstract Developed by the King Abdullah University of Science and Technology (KAUST) to support research in atmospheric science and remote sensing, KAUSTSat represented Saudi Arabia's (and the Middle East's) first research‐focused hyperspectral CubeSat mission for Earth observation.
Victor Angulo +5 more
wiley +1 more source
GIS and SWMM‐Integrated Multi‐Indicator Fuzzy Assessment for Urban Flood Risk in Chengdu
ABSTRACT Effective assessment of urban flood risk is essential for decision‐making under mixed and uncertain information conditions. This study proposes a multi‐indicator hesitant fuzzy assessment framework integrating hazard, exposure, and vulnerability.
Mingxia Lu, Ting Ni, Jiuping Xu
wiley +1 more source
Google Earth Engine was utilised to assess snow cover area (SCA) across eight Upper Indus Basin (UIB) subbasins, employing ARIMA for prediction and comparing MODIS datasets using Dunn's test. Spatiotemporal changes were analysed using MK, Sen's slope, and other statistical tests.
Hafsa Muzammal +4 more
wiley +1 more source
Mangroves are an important source of blue carbon that grow in coastal areas. The study of mangrove species distribution is the basis of carbon storage research.
Xinzhe Wang, Linlin Tan, Jianchao Fan
doaj +1 more source
The Chinese-French Oceanography SATellite (CFOSAT) jointly developed by the Chinese National Space Agency (CNSA) and the Centre National d’Etudes Spatiales (CNES) of France carries a wave spectrometer (Surface Waves Investigation and Monitoring, SWIM). SWIM has one nadir and five off-nadir beams to measure ocean surface waves.
Mengyu Hao +5 more
openaire +2 more sources

