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[HTML][HTML] Historical background and current developments for map** burned area from satellite Earth observation
Fire has a diverse range of impacts on Earth's physical and social systems. Accurate and up
to date information on areas affected by fire is critical to better understand drivers of fire …
to date information on areas affected by fire is critical to better understand drivers of fire …
Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …
connected to many phases of the human and physical environment. Earth observation (EO) …
[HTML][HTML] A comparison of spectral angle mapper and artificial neural network classifiers combined with Landsat TM imagery analysis for obtaining burnt area map**
Satellite remote sensing, with its unique synoptic coverage capabilities, can provide
accurate and immediately valuable information on fire analysis and post-fire assessment …
accurate and immediately valuable information on fire analysis and post-fire assessment …
Multitemporal thermal analysis to detect moisture on a building façade
It is well known that the content of water does affect materials behaviour and may cause
important damages to buildings, including structural deterioration. Thermography is a non …
important damages to buildings, including structural deterioration. Thermography is a non …
Water quality assessment and source identification of the Shuangji River (China) using multivariate statistical methods
J Liu, D Zhang, Q Tang, H Xu, S Huang, D Shang… - PloS one, 2021 - journals.plos.org
Multivariate statistical techniques, including cluster analysis (CA), discriminant analysis
(DA), principal component analysis (PCA) and factor analysis (FA), were used to evaluate …
(DA), principal component analysis (PCA) and factor analysis (FA), were used to evaluate …
Extracting water-related features using reflectance data and principal component analysis of Landsat images
This study aimed to map water features using a Landsat image rather than traditional land
cover. We involved the original bands, spectral indices and principal components (PCs) of a …
cover. We involved the original bands, spectral indices and principal components (PCs) of a …
Burned area detection based on Landsat time series in savannas of southern Burkina Faso
West African savannas are subject to regular fires, which have impacts on vegetation
structure, biodiversity and carbon balance. An efficient and accurate map** of burned …
structure, biodiversity and carbon balance. An efficient and accurate map** of burned …
An algorithm for hyperspectral remote sensing of aerosols: 1. Development of theoretical framework
This paper describes the first part of a series of investigations to develop algorithms for
simultaneous retrieval of aerosol parameters and surface reflectance from a newly …
simultaneous retrieval of aerosol parameters and surface reflectance from a newly …
Sensitivity of spectral reflectance values to different burn and vegetation ratios: A multi-scale approach applied in a fire affected area
M Pleniou, N Koutsias - ISPRS journal of photogrammetry and remote …, 2013 - Elsevier
The aim of our study was to explore the spectral properties of fire-scorched (burned) and
non fire-scorched (vegetation) areas, as well as areas with different burn/vegetation ratios …
non fire-scorched (vegetation) areas, as well as areas with different burn/vegetation ratios …
[HTML][HTML] A simplified approach for interpreting principal component images
Principal component transformation is a standard technique for multi-dimensional data
analysis. The purpose of the present article is to elucidate the procedure for interpreting PC …
analysis. The purpose of the present article is to elucidate the procedure for interpreting PC …