Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data

2002 ◽  
Vol 23 (15) ◽  
pp. 3057-3078 ◽  
Author(s):  
Q. Zhang ◽  
J. Wang ◽  
X. Peng ◽  
P. Gong ◽  
P. Shi
Keyword(s):  
Change Detection ◽  
Landsat Tm ◽  
Spectral Information ◽  
Land Change ◽  
Road Density ◽  
Multi Temporal

scholarly journals CORAL REEF HABITAT CHANGING ASSESSMENT OF DERAWAN ISLANDS, EAST KALIMANTAN, USING REMOTE SENSING DATA

2010 ◽  
Vol 2 (-) ◽  
Author(s):  
MARLINA NURLIDIASARI ◽  
SYARIF BUDIMAN
Keyword(s):  
Remote Sensing ◽  
Coral Reef ◽  
Coral Reefs ◽  
Change Detection ◽  
Remote Sensing Data ◽  
Landsat Tm ◽  
East Kalimantan ◽  
Marine Diversity ◽  
Multi Temporal ◽  
Remote Sensing Techniques

Coral reefs in Dcrawan Islands are astonishingly rich in the marine diversity. However, these reefs are threatened by humans. Destructive fishing methods, such as trawl, blasting and cyanide fishing practise, are found to be the main cause of this degradation. The coral reefs habitat reduction is also caused by tourism activities due to trampling over the reef and charging organic and anorganic wastes. The capabilities of satellite remote sensing techniques combined with field data collection have been assessed for the coral reef mapping and the change detection of Derawan Island. Multi-temporal Landsat TM and ETM images (1991 and 2002) have been used. Comparison of the classified images of 1991 and 2002 shows spatial changes of the habitat. The changes were in accordance with the known changes in the reef conditions. The analysis shows the decrease of the coral reef and patchy seagrass percentage, while the increase of the algae composite and patchy reef percentage. Keywords : Coral Reef, Change Detection, Landsat-TM, Derawan

scholarly journals Análise multitemporal do uso do solo da microbacia do Rio Sarandi no Sudoeste do estado do Paraná, Brasil utilizando imagens LANDSAT/TM

2018 ◽  
Vol 40 ◽  
pp. 43
Author(s):  
Clóvis Cechim Júnior ◽  
Mara Rubia Silva
Keyword(s):  
Land Use ◽  
Forest Cover ◽  
Temporal Analysis ◽  
Landsat Tm ◽  
Spectral Information ◽  
Southern Brazil ◽  
Family Farms ◽  
Enhancement Technique ◽  
Agricultural Potential ◽  
Multi Temporal

The evaluation of the changes a particular location undergoes over several years may be carried out with the analysis of images in different periods of time. The objective of this study was to carry out the multi-temporal analysis of the land use on the Sarandi River watershed that has predominance of family farms and high agricultural potential and is located in the Southwest mesoregion of the state of Paraná, Southern Brazil. To verify the changes of land use in the basin was necessary to apply the linear image enhancement technique to improve spectral information and facilitate images interpretation. The classification method used was supervised as the Bhattacharya classifier, on LANDSAT/TM satellite’s images, from 1985 to 2010. The data were processed by SPRING and the results showed along these 25 years a 0.40% decline in forest cover, with decrease in grazing areas in a ratio of 4.21% and around 6.64% for exposed soil and a increase of 10.52% in agriculture, 0.62% in urban area and 0.11% in water blade. The evaluation of the accuracy of the mappings generated was made using as reference the images LANDSA/TM, IK ranged between (97.2 98.7%) and EG medium was 98% which indicates the efficiency of the classifier.

Multi-temporal change detection of seagrass beds using integrated Landsat TM/ETM+/OLI imageries in Cam Ranh Bay, Vietnam

2016 ◽  
Vol 35 ◽  
pp. 43-54 ◽  
Author(s):  
Chi-Farn Chen ◽  
Va-Khin Lau ◽  
Ni-Bin Chang ◽  
Nguyen-Thanh Son ◽  
Phuoc-Hoang-Son Tong ◽  
...  
Keyword(s):  
Change Detection ◽  
Temporal Change ◽  
Landsat Tm ◽  
Seagrass Beds ◽  
Multi Temporal
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