Results 91 to 100 of about 21,657,058 (394)

Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data

GIScience & Remote Sensing, 2019
In recent years, the data science and remote sensing communities have started to align due to user-friendly programming tools, access to high-end consumer computing power, and the availability of free satellite data.
A. Abdi
semanticscholar   +1 more source

Comparing Sentinel-2 and Landsat 8 for Burn Severity Mapping in Western North America

Remote Sensing, 2022
Accurate assessment of burn severity is a critical need for an improved understanding of fire behavior and ecology and effective post-fire management.
Alexander A. Howe, S. Parks, Brian J. Harvey, S. Saberi, J. Lutz, L. Yocom   +5 more
semanticscholar   +1 more source

Coastline shift analysis in data deficient regions: Exploiting the high spatio-temporal resolution Sentinel-2 products [PDF]

, 2019
In most developing countries, coastline shift monitoring using in-situ (ground-based) data faces challenges due, e.g., to data unreliability, inconsistency, deficiency, inaccessibility or incompleteness. Even where practically applicable, the traditional
A. Saleem, Abd El-Kawy, Alesheikh, Amaro, Appeaning Addo, Awange, Awange, Awange, Awange, Awange, Awange, Bagli, Baki, Bolognesi, Bolognesi, Brown, Castillo, Dasgupta, de Schipper, Del Soldato, Devi, Dewan, Di, Dolan, Drapeau, Drusch, Ekercin, El-Hattab, ESA, Gašparović, Gilmore, Goldblatt, Gonçalves, Gonçalves, Goodchild, Graham, Guariglia, Hagenaars, Hare, Hinkel, Hritz, Hussain, Immitzer, J.L. Awange, Jayson-Quashigah, Kennedy, Koc, Kuleli, Li, Li, Liberia, LISGIS, Mancini, Marsaglia, Massey, Metropolitan Borough of Sefton, Misra, Nicholls, Omuto, Ouma, Pardo-Pascual, Parrish, Parrish, Pianca, Poornima, Post, Rawat, Ruggiero, Sadr, Sagar, Salghuna, Santos, Shin, Smith, Song, Stockdon, The World Bank, Tochamnanvita, Topouzelis, Turner, UN DESA, UNDP, UNDP, UNEP, USAID, USGS, Veloso-Gomes, Werrell, Westoby, White, White, Wiles, Williams, Yao, Yu, Zhang   +95 more
core   +1 more source

Sentinel-2 for Mapping Iron Absorption Feature Parameters [PDF]

Remote Sensing, 2015
Iron is an indicator for soil fertility and the usability of an area for cultivating crops. Remote sensing is the only suitable tool for surveying large areas at a high temporal and spatial interval, yet a relative high spectral resolution is needed for mapping iron contents with reflectance data. Sentinel-2 has several bands that cover the 0.9 μm iron
Harald Van der Werff, Freek Van der Meer
openaire   +3 more sources

Procjena šumskih resursa na temelju Sentinel-2 snimki – studija slučaja Derventa, BiH (Katastarska općina Brezici) [PDF]

, 2023
SummaryThe management of forest resources is complicated due to the complete lack of maintenance and disorganization of the land administration and survey that are decades old.
Grgić, Ilija, Marinković, Goran, Miletić, Boban, Skorup, Dragana, Vujasinović, Miroslav   +4 more
core   +2 more sources

Applicability of multispectral Sentinel data for mineral exploration by use of remote sensing and geospatial technologies:A case study in Northern Chile [PDF]

, 2022
Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesThe objective of this MSc thesis is to prove that the Sentinel-2 satellite has the same capabilities for mineral exploration ...
Tulcanaza, Jose Edmundo
core  

Water Turbidity Determination by a Satellite Imagery-Based Mathematical Equation for the Chao Phraya River

Environment and Natural Resources Journal, 2022
Turbidity is a standard water quality parameter that indicates its optical property in scattering light along the column containing suspended particles.
Wilaiporn Pimwiset, Kanita Tungkananuruk, Thitima Rungratanaubon, Pratin Kullavanijaya, Chalisa Veesommai Sillberg   +4 more
doaj   +1 more source

Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine

Remote Sensing, 2021
Mangroves are among the most productive ecosystems in existence, with many ecological benefits. Therefore, generating accurate thematic maps from mangrove ecosystems is crucial for protecting, conserving, and reforestation planning for these valuable ...
A. Ghorbanian, Soheil Zaghian, R. M. Asiyabi, M. Amani, A. Mohammadzadeh, S. Jamali   +5 more
semanticscholar   +1 more source

Improved estimates of arctic land surface phenology using Sentinel-2 time series [PDF]

, 2020
The high spatial resolution and revisit time of Sentinel-2A/B tandem satellites allow a potentially improved retrieval of land surface phenology (LSP).
Descals, Adrià, Peñuelas, Josep, Verger, Aleixandre, Yin, Gaofei   +3 more
core   +1 more source

Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms

Geo-spatial Information Science, 2021
LiDAR data are becoming increasingly available, which has opened up many new applications. One such application is crop type mapping. Accurate crop type maps are critical for monitoring water use, estimating harvests and in precision agriculture.
Adriaan Jacobus Prins, Adriaan Van Niekerk   +1 more
doaj   +1 more source