{"title":"1980年至2019年孟加拉国东南部盐沼测绘中获取无云和低潮Landsat观测数据的概率","authors":"Sheikh Mohammed Rabiul Alam, M. S. Hossain","doi":"10.1080/01490419.2023.2200212","DOIUrl":null,"url":null,"abstract":"Abstract As is well-documented, cloud cover (CC) obscures the target object and water depth and turbidity impede optical remote sensing (RS). Therefore, Landsat imagery acquired under cloud-free (CFI) and low-tide (LTI) conditions are considered ‘quality’ observations when mapping tidal wetlands such as saltmarsh. Although it is essential to estimate probabilities of acquiring at least one CFI and LTI, previous studies rarely addressed in RS of saltmarsh land cover (SLC). In order to evaluate the probabilities of acquiring at least one CFI and LTI in a year, a month, a season, a pair of seasons, or a certain time interval within a year over south-eastern Bangladesh, all images acquired between 1988 and 2019 were examined. The results indicate that SLC applications are generally affected by CC and tide heights; an average yearly CF probability of 16% can be acquired under LT conditions. Seasonal variations in CFI are apparent and there is a significant shortage of clear observation during the monsoon. The higher number of CFI may not guarantee a higher probability of LTI due to tide dynamics. The availability of both CFI and LTI can be remarkably improved if the present 16-day interval time of Landsat’s acquisition is increased.","PeriodicalId":49884,"journal":{"name":"Marine Geodesy","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Probabilities of acquiring cloud-free and low-tide Landsat observations for mapping saltmarsh over south-eastern Bangladesh from 1980 to 2019\",\"authors\":\"Sheikh Mohammed Rabiul Alam, M. S. Hossain\",\"doi\":\"10.1080/01490419.2023.2200212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract As is well-documented, cloud cover (CC) obscures the target object and water depth and turbidity impede optical remote sensing (RS). Therefore, Landsat imagery acquired under cloud-free (CFI) and low-tide (LTI) conditions are considered ‘quality’ observations when mapping tidal wetlands such as saltmarsh. Although it is essential to estimate probabilities of acquiring at least one CFI and LTI, previous studies rarely addressed in RS of saltmarsh land cover (SLC). In order to evaluate the probabilities of acquiring at least one CFI and LTI in a year, a month, a season, a pair of seasons, or a certain time interval within a year over south-eastern Bangladesh, all images acquired between 1988 and 2019 were examined. The results indicate that SLC applications are generally affected by CC and tide heights; an average yearly CF probability of 16% can be acquired under LT conditions. Seasonal variations in CFI are apparent and there is a significant shortage of clear observation during the monsoon. The higher number of CFI may not guarantee a higher probability of LTI due to tide dynamics. The availability of both CFI and LTI can be remarkably improved if the present 16-day interval time of Landsat’s acquisition is increased.\",\"PeriodicalId\":49884,\"journal\":{\"name\":\"Marine Geodesy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Marine Geodesy\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1080/01490419.2023.2200212\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Marine Geodesy","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/01490419.2023.2200212","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
Probabilities of acquiring cloud-free and low-tide Landsat observations for mapping saltmarsh over south-eastern Bangladesh from 1980 to 2019
Abstract As is well-documented, cloud cover (CC) obscures the target object and water depth and turbidity impede optical remote sensing (RS). Therefore, Landsat imagery acquired under cloud-free (CFI) and low-tide (LTI) conditions are considered ‘quality’ observations when mapping tidal wetlands such as saltmarsh. Although it is essential to estimate probabilities of acquiring at least one CFI and LTI, previous studies rarely addressed in RS of saltmarsh land cover (SLC). In order to evaluate the probabilities of acquiring at least one CFI and LTI in a year, a month, a season, a pair of seasons, or a certain time interval within a year over south-eastern Bangladesh, all images acquired between 1988 and 2019 were examined. The results indicate that SLC applications are generally affected by CC and tide heights; an average yearly CF probability of 16% can be acquired under LT conditions. Seasonal variations in CFI are apparent and there is a significant shortage of clear observation during the monsoon. The higher number of CFI may not guarantee a higher probability of LTI due to tide dynamics. The availability of both CFI and LTI can be remarkably improved if the present 16-day interval time of Landsat’s acquisition is increased.
期刊介绍:
The aim of Marine Geodesy is to stimulate progress in ocean surveys, mapping, and remote sensing by promoting problem-oriented research in the marine and coastal environment.
The journal will consider articles on the following topics:
topography and mapping;
satellite altimetry;
bathymetry;
positioning;
precise navigation;
boundary demarcation and determination;
tsunamis;
plate/tectonics;
geoid determination;
hydrographic and oceanographic observations;
acoustics and space instrumentation;
ground truth;
system calibration and validation;
geographic information systems.