Tobías Romero-Macías , C. Amurrio-García , José L. Jiménez-García , Pablo Blanco-Gómez
{"title":"DAI algorithm: A QGIS plugin for daily aerial image interpolation","authors":"Tobías Romero-Macías , C. Amurrio-García , José L. Jiménez-García , Pablo Blanco-Gómez","doi":"10.1016/j.asr.2024.11.081","DOIUrl":null,"url":null,"abstract":"<div><div>This article describes the Daily Aerial Image (DAI) algorithm, a QGIS plugin implemented in Python for satellite image interpolation. The presence of clouds and the time difference between two satellite images make it difficult to observe the Earth’s surface with remote sensors. To solve this problem, the spatial and temporal combination of two observed clean images may be of particular interest to GIS users and satellite image scientists. The DAI package uses tri-band raster images from two different dates to interpolate the intermediate images on a daily basis.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"75 4","pages":"Pages 3335-3339"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Space Research","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0273117724012122","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
This article describes the Daily Aerial Image (DAI) algorithm, a QGIS plugin implemented in Python for satellite image interpolation. The presence of clouds and the time difference between two satellite images make it difficult to observe the Earth’s surface with remote sensors. To solve this problem, the spatial and temporal combination of two observed clean images may be of particular interest to GIS users and satellite image scientists. The DAI package uses tri-band raster images from two different dates to interpolate the intermediate images on a daily basis.
期刊介绍:
The COSPAR publication Advances in Space Research (ASR) is an open journal covering all areas of space research including: space studies of the Earth''s surface, meteorology, climate, the Earth-Moon system, planets and small bodies of the solar system, upper atmospheres, ionospheres and magnetospheres of the Earth and planets including reference atmospheres, space plasmas in the solar system, astrophysics from space, materials sciences in space, fundamental physics in space, space debris, space weather, Earth observations of space phenomena, etc.
NB: Please note that manuscripts related to life sciences as related to space are no more accepted for submission to Advances in Space Research. Such manuscripts should now be submitted to the new COSPAR Journal Life Sciences in Space Research (LSSR).
All submissions are reviewed by two scientists in the field. COSPAR is an interdisciplinary scientific organization concerned with the progress of space research on an international scale. Operating under the rules of ICSU, COSPAR ignores political considerations and considers all questions solely from the scientific viewpoint.