Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model

Autor: Liang Zhao, Jixue Liu, Stefan Peters, Jiuyong Li, Simon Oliver, Norman Mueller

Publikováno v: Remote Sensing, Vol 14, Iss 13, p 3047 (2022)

Smoke plumes are the first things seen from space when wildfires occur. Thus, fire smoke detection is important for early fire detection. Deep Learning (DL) models have been used to detect fire smoke in satellite imagery for fire detection. However,

Externí odkaz: https://doaj.org/article/afe56b6e20ca42d1a7a5bdbd63b6ef20

Capability of Remote Sensing Images to Distinguish the Urban Surface Materials: A Case Study of Venice City

Autor: Rosa Maria Cavalli

Publikováno v: Remote Sensing; Volume 13; Issue 19; Pages: 3959
Remote Sensing, Vol 13, Iss 3959, p 3959 (2021)
Remote sensing (Basel) 13 (2021): 1–29. doi:10.3390/rs13193959
info:cnr-pdr/source/autori:Cavalli R.M./titolo:Capability of remote sensing images to distinguish the urban surface materials: A case study of venice city/doi:10.3390%2Frs13193959/rivista:Remote sensing (Basel)/anno:2021/pagina_da:1/pagina_a:29/intervallo_pagine:1–29/volume:13

Many countries share an effort to understand the impact of growing urban areas on the environment. Spatial, spectral, and temporal resolutions of remote sensing images offer unique access to this information. Nevertheless, their use is limited becaus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6943099fcef878b472e1901c3b3628

Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor

Autor: Bastian Siegmann, Pablo Morcillo-Pallarés, Luca Pipia, Jochem Verrelst, Jose Moreno, Charlotte De Grave, Juan Pablo Rivera-Caicedo

Publikováno v: Remote Sensing
Remote sensing 13(8), 1419-(2021). doi:10.3390/rs13081419
Remote Sensing; Volume 13; Issue 8; Pages: 1419
Remote Sensing, Vol 13, Iss 1419, p 1419 (2021)

ESA’s Eighth Earth Explorer mission “FLuorescence EXplorer” (FLEX) will be dedicated to the global monitoring of the chlorophyll fluorescence emitted by vegetation. In order to properly interpret the measured fluorescence signal, essential vege

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::745d41922f322168e0297c9e0bdcd96d

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LINEAR SPECTRAL MIXING MODEL APPLIED IN IMAGES FROM PROBA-V SENSOR: A SPATIAL MULTIRESOLUTION APPROACH

Autor: Andeise Cerqueira Dutra, Yosio Edemir Shimabukuro, Egidio Arai

Publikováno v: RA'E GA Journal-The Geographic Space in Analysis; v. 46, n. 3 (2019): 7º GeoPantanal-Simpósio de Geotecnologias no Pantanal; 48-62
RAEGA-O Espaço Geográfico em Análise; v. 46, n. 3 (2019): 7º GeoPantanal-Simpósio de Geotecnologias no Pantanal; 48-62
Ra'e Ga
Universidade Federal do Paraná (UFPR)
instacron:UFPR

The complexity of pixel composition of orbital images has been commonly referred to the spectral mixture problem. The acquisition of endmembers (pure pixels) direct from image under study is one of the most commonly employed approaches. However, it b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4f05098a50cc36a98426cdfd82f1204
https://doi.org/10.5380/raega.v46i3.67098