scholarly journals Optimum Index Factor and Cloud Removal on the Landsat Imagery Data Processing

2018 ◽  
Vol 1116 ◽  
pp. 022048
Author(s):  
M S Ziliwu ◽  
Tulus ◽  
Sutarman ◽  
M Zarlis ◽  
Z Situmorang ◽  
...  
Keyword(s):  
Data Processing ◽  
Landsat Imagery ◽  
Cloud Removal ◽  
Optimum Index Factor ◽  
Imagery Data

scholarly journals The Changes in Vast Mangrove Area of Pantai Air Telang Protected Forest Banyuasin District using Landsat Imagery Data Time Series

Jurnal Wasian ◽  
2017 ◽  
Vol 4 (2) ◽  
pp. 109
Author(s):  
Vina Fitriana
Keyword(s):  
Vegetation Index ◽  
Landsat Imagery ◽  
Unsupervised Classification ◽  
Research Area ◽  
Mangrove Area ◽  
Composite Band ◽  
Index Analysis ◽  
Landsat 7 ◽  
Density Analysis ◽  
Imagery Data

This study aimed to obtain data about far-reaching changes on the total area of mangrove at Air Telang Beach Protected Forest through the interpretation of Landsat 7 imagery data using open source software (Ilwis 2000) in years 2000, 2003, 2006, 2009 and 2012. In the first phase, mangrove identification was conducted through cropped imagery data based on the research area which is path 124 raw 62 using RGB543 composite band. Then, mangrove and non-mangrove area are separated using unsupervised classification method. The next phase, mangrove density analysis is directed by applying NDVI formula. The results showed that the total area of mangrove has decreased over a period of 12 years by 10.72 % of total mangrove area on 2000 (7,968.54 ha) with 7,147.12 on 2012. Vegetation Index analysis shows high density mangrove is dominated although it continues to decrease, followed by increasing mangrove area with medium density.Keywords: Air Telang Beach Protected Forest, imagery data, mangrove total area, density.

Study of Optional Bands Combination of Landsat Imagery for Extracting Information of Ice Shelves

2014 ◽  
Vol 1073-1076 ◽  
pp. 1902-1906
Author(s):  
Shu Liu ◽  
Qi Gang Jiang ◽  
Yan Xiao ◽  
Yi Fan Yu
Keyword(s):  
Statistical Analysis ◽  
Landsat Imagery ◽  
Correlation Coefficients ◽  
Band 3 ◽  
Joint Entropy ◽  
Ice Shelf ◽  
Ice Shelves ◽  
Surface Features ◽  
Spectrum Characteristics ◽  
Optimum Index Factor

For the purpose of extracting the information of ice shelves, the statistical analysis of TM, ETM+ and Landsat8 OLI imagery of the typical area at the southwest corner of Wilkins Ice Shelf is conducted. Basic statistics of single bands were extracted and the correlation coefficients, joint entropy as well as the Optimum Index Factor among multiple bands were calculated. The results of experiments as well as the characteristics of spectrum characteristics of the surface features were taken into consideration comprehensively and the optional bands combinations were investigated. Results show that for TM and ETM + imagery, the combination of band 2, 3 and 4 is the optional bands combination. For L8 OLI imagery, the combination of band 3, 4 and 5 is the optional bands combination. In these two kinds of combinations, the images contain abundant information and moderate brightness. The features are more obvious to distinguish.

scholarly journals Analysis the Spread of Chlorophyll-A Concentration in Birah-Birahan Island Waters Using Landsat 8 Images

2021 ◽  
Vol 5 (1) ◽  
pp. 13-18
Author(s):  
Rosdianto Rosdianto ◽  
Kaharuddin Kaharuddin ◽  
Rudiyanto Rudiyanto
Keyword(s):  
Data Processing ◽  
Chlorophyll A ◽  
Landsat 8 ◽  
Profile Data ◽  
Chlorophyll A Concentration ◽  
West Monsoon ◽  
Imagery Data

ABSTRACT: Research aims to determine the value of concentration and spread profile of chlorophyll-a in Birah-birahan Island waters. To process the spread profile data of chlorophyll-a concentration in Birah-Birahan Island waters, the data were used is Landsat 8 imagery data in 2018, i.e. February and August and February and October in 2019, data processing uses the er-mapper and arcgis application by using the Pentury algorithm and Hanintyo algorithm. Information was obtained that the value of chlorophyll-a concentration used the pentury algorithm in 2018, February on west monsoon, i.e. 0.06 mg/m3 and August on east monsoon, i.e. 0.07 mg/m3, in 2019 February on west monsoon, namely 0.06 mg/m3 and October on east monsoon is 0.07 mg/m3 and chlorophyll-a concentration value using the Hanintyo algorithm in 2018 February on west monsoon i.e. 0.22 mg/m3 and August in the east monsoon is 0.27 mg/m3, in 2019 February on west monsoon i.e. 0.25 mg/m3 and October on east monsoon i.e. 0.24 mg/m3. It can be concluded that the concentration value by the pentury and Hanintyo algorithm of two different years in west and east monsoon the highest chlorophyll-a concentration value were known based on Hanintyo algorithm. Keywords: Chlorophyll-a, Landsat 8, Spread, Birah-Birahan Island.

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