Results 11 to 20 of about 11,247,206 (231)
Remote Sensing, 2021 The main objective of this study was to develop empirical models from Landsat 5 TM data to monitor nutrient (total phosphorus: TP), organic matter (biological oxygen demand: BOD), and algal chlorophyll (chlorophyll-a: CHL-a).
Md Mamun, Jannatul Ferdous, Kwang-Guk An
doaj +2 more sources
Science of Remote Sensing, 2021 Generating a long-time-series, high-spatial-resolution land surface temperature (LST) product has considerable applications in monitoring water stress, surface energy and water balance at the field scale.
Jie Cheng +3 more
doaj +2 more sources
An initial validation of Landsat 5 and 7 derived surface water temperature for U.S. lakes, reservoirs, and estuaries. [PDF]
Int J Remote Sens, 2018 The United States Harmful Algal Bloom and Hypoxia Research Control Act of 2014 identified the need for forecasting and monitoring harmful algal blooms (HAB) in lakes, reservoirs, and estuaries across the nation. Temperature is a driver in HAB forecasting
Schaeffer BA +6 more
europepmc +2 more sources
Evaluation of a rule-based compositing technique for Landsat-5 TM and Landsat-7 ETM+ images
International Journal of Applied Earth Observation and Geoinformation, 2016 Abstract Image compositing is a multi-objective optimization process. Its goal is to produce a seamless cloud and artefact-free artificial image. This is achieved by aggregating image observations and by replacing poor and cloudy data with good observations from imagery acquired within the timeframe of interest.
W. Lück, A. van Niekerk
openaire +2 more sources
Landsat 8 vs. Landsat 5: A comparison based on urban and peri-urban land cover mapping
International Journal of Applied Earth Observation and Geoinformation, 2015 Abstract An image dataset from the Landsat OLI spaceborne sensor is compared with the Landsat TM in order to evaluate the excellence of the new imagery in urban landcover classification. Widely known pixel-based and object-based image analysis methods have been implemented in this work like Maximum Likelihood, Support Vector Machine, k-Nearest ...
Dimitris Poursanidis +2 more
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Assessing land use and land cover changes and agricultural farmland expansions in Gambella Region, Ethiopia, using Landsat 5 and Sentinel 2a multispectral data. [PDF]
Heliyon, 2018 Degife AW, Zabel F, Mauser W.
europepmc +2 more sources
Using Landsat-5 for Accurate Historical LULC Classification: A Comparison of Machine Learning Models
International Conference on Data Technologies and Applications, 2023 This study investigates the application of various machine learning models for land use and land cover (LULC) classification in the Kerch Peninsula. The study utilizes archival field data, cadastral data, and published scientific literature for model ...
D. Krivoguz +4 more
semanticscholar +1 more source
Remote Sensing, 2020 Land Surface Temperature (LST) is an important parameter for many scientific disciplines since it affects the interaction between the land and the atmosphere.
A. Şekertekin, S. Bonafoni
semanticscholar +1 more source
Application and Comparison of the MODIS-Derived Enhanced Vegetation Index to VIIRS, Landsat 5 TM and Landsat 8 OLI Platforms: A Case Study in the Arid Colorado River Delta, Mexico. [PDF]
Sensors (Basel), 2018 The Enhanced Vegetation Index (EVI) is a key Earth science parameter used to assess vegetation, originally developed and calibrated for the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites.
Jarchow CJ +4 more
europepmc +2 more sources
Revista Brasileira de Meteorologia, 2008 A quantificação da evapotranspiração é de grande importância na modelagem hidrológica e meteorológica, sendo indispensável no manejo hídrico sustentável de cultivos irrigados.
Bergson G. Bezerra +2 more
doaj +1 more source