Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery

Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery

This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space. Using satellite data to estimate precipitation from space...

Mô tả đầy đủ

Đã lưu trong:
Chi tiết về thư mục
Tác giả chính: Nasrollahi, Nasrin
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer 2015
Những chủ đề:
Remote sensing
Precipitation
Infrared detectors
Geography
Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57789
Các nhãn: Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
id oai:scholar.dlu.edu.vn:DLU123456789-57789
record_format dspace
spelling oai:scholar.dlu.edu.vn:DLU123456789-577892023-11-11T05:52:04Z Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery Nasrollahi, Nasrin Remote sensing Precipitation Infrared detectors Geography This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space. Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved. The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed "big data." The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation. 2015-08-26T09:06:00Z 2015-08-26T09:06:00Z 2015 Book 978-3-319-12081-2 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57789 en application/pdf Springer
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Remote sensing
Precipitation
Infrared detectors
Geography
spellingShingle Remote sensing
Precipitation
Infrared detectors
Geography
Nasrollahi, Nasrin
Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
description This thesis transforms satellite precipitation estimation through the integration of a multi-sensor, multi-channel approach to current precipitation estimation algorithms, and provides more accurate readings of precipitation data from space. Using satellite data to estimate precipitation from space overcomes the limitation of ground-based observations in terms of availability over remote areas and oceans as well as spatial coverage. However, the accuracy of satellite-based estimates still need to be improved. The approach introduced in this thesis takes advantage of the recent NASA satellites in observing clouds and precipitation. In addition, machine-learning techniques are also employed to make the best use of remotely-sensed "big data." The results provide a significant improvement in detecting non-precipitating areas and reducing false identification of precipitation.
format Book
author Nasrollahi, Nasrin
author_facet Nasrollahi, Nasrin
author_sort Nasrollahi, Nasrin
title Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
title_short Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
title_full Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
title_fullStr Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
title_full_unstemmed Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery
title_sort improving infrared-based precipitation retrieval algorithms using multi-spectral satellite imagery
publisher Springer
publishDate 2015
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57789
_version_ 1782537377978253312

Những quyển sách tương tự