Results 71 to 80 of about 19,262 (235)
ABSTRACT The use of Land Use Land Cover (LULC) analysis is a fundamental requirement for urban solid waste management (SWM); however, conventional LULC analysis methods are not well suited to the spatio‐temporal variability, multi‐sensor heterogeneity, and seasonal variations of highly dynamic urban environments.
Rubeena Vohra, Ashish Kumar
wiley +1 more source
O presente estudo trata da análise temporal e cálculo de áreas construídas usando o método BAEM. Como fonte de dados, foram utilizadas imagens do sistema de satélite Landsat 8 do Parque Estadual da Serra da Tiririca, em Niterói, Rio de Janeiro, Brasil ...
Sonia Maria Lima Silva +2 more
doaj +1 more source
Landsat 8 Thermal Infrared Sensor Geometric Characterization and Calibration
The Landsat 8 spacecraft was launched on 11 February 2013 carrying two imaging payloads: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS).
James Storey, Michael Choate, Donald Moe
doaj +1 more source
LANDSAT-8 OPERATIONAL LAND IMAGER CHANGE DETECTION ANALYSIS [PDF]
This paper investigated the potential utility of Landsat-8 Operational Land Imager (OLI) for change detection analysis and mapping application because of its superior technical design to previous Landsat series.
W. Pervez +4 more
doaj +1 more source
A Cloud Detection Method for Landsat 8 Images Based on PCANet
Cloud detection for remote sensing images is often a necessary process, because cloud is widespread in optical remote sensing images and causes a lot of difficulty to many remote sensing activities, such as land cover monitoring, environmental monitoring and target recognizing. In this paper, a novel cloud detection method is proposed for multispectral
Yue Zi, Fengying Xie, Zhiguo Jiang 0001
openaire +2 more sources
Mapping Soil Salinity Prediction Enhanced by Time‐Series Remote Sensing Features
ABSTRACT Gaining timely knowledge of soil salinity's spatiotemporal dynamics is crucial for accurate mapping. Through temporal span comparisons, this study systematically extracts and utilizes time‐series features (TSFs) derived from Sentinel‐2 and Landsat 8 NDVI and SAVI data (2019–2023) to enhance prediction accuracy. Three datasets were constructed:
Wenji Zhu +3 more
wiley +1 more source
Landsat 8 and 9 Underfly International Surface Reflectance Validation Collaboration
During the launch and path to its final orbit, the Landsat 9 satellite performed a once in a mission lifetime maneuver as it passed beneath Landsat 8, resulting in near coincident data collection.
Joshua Mann +11 more
doaj +1 more source
ABSTRACT Coastal wetlands are critical blue carbon sinks, yet their spatiotemporal dynamics under environmental change remain insufficiently quantified. Taking the Yellow River Delta (YRD) as a natural laboratory, this study synthesizes multi‐source remote sensing data, including optical and radar imagery spanning from 1984 to 2023, to explore the ...
Mengqian Jiang +6 more
wiley +1 more source
ABSTRACT Although several environmental challenges exist globally, land degradation is the greatest threat and risk factor wedging human livelihoods. Despite widespread awareness of climate change, little empirical evidence exists on land degradation and its impacts on livelihoods in semi‐arid agroecological systems.
Philip Aniah +3 more
wiley +1 more source
Estimating Land Degradation Level Using Remote Sensing Data and Fuzzy AHP Technique
ABSTRACT Land degradation is a critical global environmental concern that significantly impacts ecosystem services, agricultural productivity, weather patterns, human livelihoods and overall well‐being. Prompt and precise assessments of land degradation status are crucial for environmental governance and sustainable development. Remote sensing data can
Mohamed Mustafa Ali, Hamed Faroqi
wiley +1 more source

