Results 91 to 100 of about 17,569,314 (273)

Can we monitor seedling stands using Landsat Time Series?

European Journal of Forest Research
Abstract Monitoring the status of seedling stands is crucial for determining whether seedlings have achieved the required density and height and assessing the need for weeding. We studied the potential of Landsat Time Series (LTS) data for monitoring young seedling stands in Liperi, eastern Finland.
RANA Parvez, Eero MUINONEN, M. TOLVANEN, Anwarul CHOWDHURY, Mikko VASTARANTA, Timo Tokola   +5 more
openaire   +1 more source

Remote Sensing‐Based Identification of Habitat Loss for Herbivorous Waterbirds Driven by Wetland Inundation Alterations

Remote Sensing in Ecology and Conservation, EarlyView.
We present a deep learning framework integrating remote sensing and SHAP interpretation to map 22‐year habitat dynamics of herbivorous waterbirds in Dongting Lake. Results show nearly 50% habitat loss, driven primarily by hydrological recession timing rather than static inundation extent.
Dongshuo Lu, Haobo Zhang, Peng Zhang, Xiaoning Liu, Liwei Chang, Lei Cheng, Jianbo Chang   +6 more
wiley   +1 more source

An Improved Gap-Filling Method for Reconstructing Dense Time-Series Images from LANDSAT 7 SLC-Off Data

Remote Sensing
Over recent decades, Landsat satellite data has evolved into a highly valuable resource across diverse fields. Long-term satellite data records with integrity and consistency, such as the Landsat series, provide indispensable data for many applications ...
Yue Li, Qiang Liu, Shuang Chen, Xiaotong Zhang   +3 more
doaj   +1 more source

Analyzing Remote Sensing Data in R: The landsat Package [PDF]

Research and development on atmospheric and topographic correction methods for multispectral satellite data such as Landsat images has far outpaced the availability of those methods in geographic information systems software.
Sarah C. Goslee
core  

Cloud Classification in JPEG-compressed Remote Sensing Data (LANDSAT 7/ETM+) [PDF]

, 2012
Environmental parameters required for geo-information modelling are subject to spatial and temporal dynamics. Remote sensing data can contribute to measure those parameters.
Fichtelmann, Bernd, Asche, Hartmut, Hartmut Asche, Borg, Erik, Bernd Fichtelmann, Erik Borg   +5 more
core   +1 more source

Analysis of flood events in the Three Gorges Reservoir Region using the coupled VIC‐CaMaFlood hydrological model

River, EarlyView.
Abstract In recent years, the Three Gorges Reservoir Region (TGRR) has been increasingly affected by climate change, with frequent flood events posing challenges to regional flood control. The NO.1 flood of the Daning River in 2024 further highlights the severity of flood risks in the region.
Wenlong Song, Tianshi Feng, Qiang Zhang, Yixin Sun, Yizhu Lu, Xingdong Li, Hongjie Liu, Rongjie Gui, Long Chen   +8 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

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

Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection

Remote Sensing, 2016
Spatio-temporal information on process-based forest loss is essential for a wide range of applications. Despite remote sensing being the only feasible means of monitoring forest change at regional or greater scales, there is no retrospectively available ...
David Frantz, Achim Röder, Thomas Udelhoven, Michael Schmidt   +3 more
doaj   +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