Applications of NOAA-AVHRR 1 km data for environmental monitoring

D Ehrlich, JE Estes, A Singh - Remote Sensing, 1994 - Taylor & Francis
This paper reviews the applications of NOAA-AVHRR 1 km data for environmental
monitoring. This topic is very significant in view of the development of 1 km global datasets …

Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales

M Hall-Beyer - International Journal of Remote Sensing, 2017 - Taylor & Francis
Texture measurements quantitatively describe relationships of DN values of neighbouring
pixels. The output is a continuous measure of spatial information that may be used for further …

Sensory linguistics

B Winter - 2019 - torrossa.com
Humans live in a perceptual world. All of humanity's accomplishments, from agriculture to
space travel, depend on us being able to interact with the world through seeing, feeling …

Change detection techniques

D Lu, P Mausel, E Brondizio… - International journal of …, 2004 - Taylor & Francis
Timely and accurate change detection of Earth's surface features is extremely important for
understanding relationships and interactions between human and natural phenomena in …

[图书][B] Statistical pattern recognition

AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …

[HTML][HTML] Application of Landsat-8, Sentinel-2, ASTER and WorldView-3 spectral imagery for exploration of carbonate-hosted Pb-Zn deposits in the Central Iranian …

M Sekandari, I Masoumi, A Beiranvand Pour… - Remote Sensing, 2020 - mdpi.com
The exploration of carbonate-hosted Pb-Zn mineralization is challenging due to the complex
structural-geological settings and costly using geophysical and geochemical techniques …

Dimensionality reduction and feature selection for object-based land cover classification based on Sentinel-1 and Sentinel-2 time series using Google Earth Engine

O Stromann, A Nascetti, O Yousif, Y Ban - Remote Sensing, 2019 - mdpi.com
Mapping Earth's surface and its rapid changes with remotely sensed data is a crucial task to
understand the impact of an increasingly urban world population on the environment …

Evaluation of deep learning CNN model for land use land cover classification and crop identification using hyperspectral remote sensing images

K Bhosle, V Musande - Journal of the Indian Society of Remote Sensing, 2019 - Springer
Deep learning convolutional neural network (CNN) is popular as being widely used for
classification of unstructured data. Land use land cover (LULC) classification using remote …

[HTML][HTML] Interpretation of hydrothermal alteration and structural framework of the Huize Pb–Zn deposit, SW China, using Sentinel-2, ASTER, and Gaofen-5 satellite …

Q Chen, J Xia, Z Zhao, J Zhou, R Zhu, R Zhang… - Ore Geology …, 2022 - Elsevier
Abstract The Huize Pb–Zn deposit is one of the largest and high–grade Pb–Zn deposits in
the world, containing more than 7 Mt Pb and Zn reserves at an ore grade of∼ 30–35% Pb+ …

[HTML][HTML] Application of multi-sensor satellite data for exploration of Zn–Pb sulfide mineralization in the Franklinian Basin, North Greenland

A Beiranvand Pour, TYS Park, Y Park, JK Hong… - Remote Sensing, 2018 - mdpi.com
Geological mapping and mineral exploration programs in the High Arctic have been
naturally hindered by its remoteness and hostile climate conditions. The Franklinian Basin in …