Results 41 to 50 of about 11,282,564 (182)

Combining Water Indices for Water and Background Threshold in Landsat Image

Proceedings, 2017
Accurate and frequent update of surface water has been made possible by remote sensing technology. Index methods are mostly used for surface water estimation which separates the water from background based on a threshold value.
Tri Dev Acharya, Anoj Subedi, In Tae Yang, Dong Ha Lee   +3 more
doaj   +1 more source

Evaluation of Water Indices for Surface Water Extraction in a Landsat 8 Scene of Nepal

Sensors, 2018
Accurate and frequent updates of surface water have been made possible by remote sensing technology. Index methods are mostly used for surface water estimation which separates the water from the background based on a threshold value.
Tri Dev Acharya, Anoj Subedi, Dong Ha Lee   +2 more
doaj   +1 more source

A Complementary Remote-Sensing Method to Find Persons Missing in Water: Two Case Studies

Forensic Sciences, 2023
This short communication discusses how a specific geoarchaeological remote-sensing (RS) method, such as analyzing satellite images through NDWI (Normalized Difference Water Index), can be used to aid in searching and locating persons missing in ...
Pier Matteo Barone, Rosa Maria Di Maggio, Silvia Mesturini   +2 more
doaj   +1 more source

Modeling land use dynamics and land surface temperature using GEE and CA-ANN: a case study of Pakistan's freshwater basins

Geocarto International
This study analyses land use/land cover (LULC) changes using observations from 2000, 2010 and 2020, and projects future dynamics up to 2070. Land surface temperature (LST) and spectral indices, including the normalized difference vegetation index (NDVI),
Syeda Maria Zafar, Aisha Shabbir, Qurat-ul-Ain Babar, Ammara Mobeen, Ricky Anak Kemarau, Wan Shafrina Wan Mohd Jaafar   +5 more
doaj   +1 more source

Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses

Archaeological Prospection, EarlyView.
ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro, Antonio Merico, Vincenzo Sapia, Gianluca Catanzariti, Valerio Materni, Giacomo Patrucco, Riccardo Olivito, Anna Anguissola, Ilaria Cangiano, Antonia Spanò   +9 more
wiley   +1 more source

A long-term monthly analytical study on the relationship of LST with normalized difference spectral indices

European Journal of Remote Sensing, 2021
This study analyzes the long-term monthly variation of land surface temperature (LST) and its relationship with normalized difference spectral indices in the Raipur City of India using one hundred and 23 Landsat images from 1988 to 2020. In specific, the
Subhanil Guha, Himanshu Govil
doaj   +1 more source

Estimation Accuracy Obviously Increased of Soil Organic Carbon Content Based on Habitat Patches Scale Using Interpretable Machine Learning in Southwest China

Land Degradation &Development, EarlyView.
ABSTRACT Although machine learning models have been successfully applied to estimate soil organic carbon (SOC), the lack of interpretability research has resulted in the absence of mechanistic explanations for these models. Therefore, in this study, we adopted the following workflow: first, we divided the whole study area into several subregions using ...
Wei Zhou, Jieyun Xiao, Haotian Liu, Lu Xu, Keming Wang   +4 more
wiley   +1 more source

Monitoring surface moisture changes using NDWI and extended indices: a case study of Suyahu Reservoir

Shuili Shuiyun Gongcheng Xuebao
Based on the differential reflectance of surface moisture in the green and near-infrared bands observed via remote sensing, this study explores the use of the Normalized Difference Water Index (NDWI) and its extended indices to monitor surface moisture ...
LIU Suyi, HUANG Dui, WANG Jianjun, YU Zhongbo   +3 more
doaj   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Remote sensing and citizen science for habitat mapping: A machine learning approach to lowland heathland in Surrey, UK

People and Nature, EarlyView.
Abstract In a time of extensive global biodiversity loss, conservation efforts increasingly rely on high‐resolution, accurate, up‐to‐date habitat maps to guide decision‐making and strategic interventions. Many products have been developed in response, using machine learning (ML) methods to automate habitat classification, often relying on satellite ...
Victoria Webster, Ana Andries, Daniel Banks, Andrew Jamieson, Ben Siggery, Mike Waite, Richard Murphy, Stephen Morse   +7 more
wiley   +1 more source